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2. Ethical considerations for precision psychiatry: A roadmap for research and clinical practice.

Author

Fusar-Poli P, Manchia M, Koutsouleris N, Leslie D, Woopen C, Calkins ME, Dunn M, Tourneau CL, Mannikko M, Mollema T, Oliver D, Rietschel M, Reininghaus EZ, Squassina A, Valmaggia L, Kessing LV, Vieta E, Correll CU, Arango C, and Andreassen OA

Subjects
Humans, Machine Learning, Mental Disorders diagnosis, Mental Disorders therapy, Psychiatry
Abstract

Precision psychiatry is an emerging field with transformative opportunities for mental health. However, the use of clinical prediction models carries unprecedented ethical challenges, which must be addressed before accessing the potential benefits of precision psychiatry. This critical review covers multidisciplinary areas, including psychiatry, ethics, statistics and machine-learning, healthcare and academia, as well as input from people with lived experience of mental disorders, their family, and carers. We aimed to identify core ethical considerations for precision psychiatry and mitigate concerns by designing a roadmap for research and clinical practice. We identified priorities: learning from somatic medicine; identifying precision psychiatry use cases; enhancing transparency and generalizability; fostering implementation; promoting mental health literacy; communicating risk estimates; data protection and privacy; and fostering the equitable distribution of mental health care. We hope this blueprint will advance research and practice and enable people with mental health problems to benefit from precision psychiatry., Competing Interests: Competing interests The authors declare no competing interests., (Copyright © 2022. Published by Elsevier B.V.)

Published
2022
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3. Expert consensus recommendations on the use of randomized clinical trials for drug approval in psychiatry- comparing trial designs.

Author

Similon MVM, Paasche C, Krol F, Lerer B, Goodwin GM, Berk M, Meyer-Lindenberg A, Ketter TA, Yatham LN, Goldberg JF, Malhi GS, El-Mallakh R, Licht RW, Young AH, Kapczinski F, Swartz M, Hagin M, Torrent C, Serretti A, Yildiz A, Martínez-Arán A, Strejilevich S, Rybakowski J, Sani G, Grunze H, Vázquez G, Pinto AG, Azorin JM, Nolen W, Sentissi O, López-Jaramillo C, Frey BN, Nierenberg A, Parker G, Bond DJ, Cohen A, Tortorella A, Perugi G, Vieta E, and Popovic D

Subjects
Consensus, Humans, Randomized Controlled Trials as Topic, Treatment Outcome, Drug Approval, Psychiatry
Abstract

The use of randomized clinical trials, in particular placebo-controlled trials, for drug approval, is the subject of long-standing debate in the scientific community and beyond. This study offers consensus recommendations from clinical and academic experts to guide the selection of clinical trial design in psychiatry. Forty-one highly cited clinical psychiatrists and/or researchers participated in a Delphi survey. Consensus statements were developed based on the findings of a published, peer-reviewed systematic review. Participants evaluated statements in two survey rounds, following the Delphi method. The expert panel achieved consensus on 7 of 21 recommendations regarding the use of randomized clinical trials. The endorsed recommendations were: (i) Results from placebo-controlled trials are the most reliable and (ii) are necessary despite the growing placebo-effect; (iii) it is ethical to enroll patients in placebo-arms when established treatment is available, if there is no evidence of increased health risk; (iv) There is a need to approve new drugs with the same efficacy as existing treatments, but with different side-effect profiles; (v) Non-inferiority trials incur an increased risk of approving ineffective medications; (vi) The risk of approving an ineffective drug justifies trial designs that incur higher costs, and (vii) superiority trials incur the risk of rejecting potentially efficacious treatments. The endorsed recommendations inform the choice of trial-design appropriate for approval of psychopharmacological drugs. The recommendations strongly support the use of randomized clinical trials in general, and the use of placebo-controlled trials in particular., Competing Interests: Declaration of Competing Interest Guy M. Goodwin is a NIHR Emeritus Senior Investigator, holds shares in P1vital and P1Vital products and has served as consultant, advisor or CME speaker in the last 3 years for Beckley Psytech, Clerkenwell Health, Compass pathways, Evapharma, Janssen, Lundbeck, Medscape, Novartis, P1Vital, Sage, Servier. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. Michael Berk is supported by a NHMRC Senior Principal Research Fellowship (1156072). MB has received Grant/Research Support from the NIH, Cooperative Research Centre, Simons Autism Foundation, Cancer Council of Victoria, Stanley Medical Research Foundation, Medical Benefits Fund, National Health and Medical Research Council, Medical Research Futures Fund, Beyond Blue, Rotary Health, A2 milk company, Meat and Livestock Board, Woolworths, Avant and the Harry Windsor Foundation, has been a speaker for Abbot, Astra Zeneca, Janssen and Janssen, Lundbeck and Merck and served as a consultant to Allergan, Astra Zeneca, Bioadvantex, Bionomics, Collaborative Medicinal Development, Janssen and Janssen, Lundbeck Merck, Pfizer and Servier – all unrelated to this work. Andreas Meyer-Lindenberg has received consultant fees from: Boehringer Ingelheim, Elsevier, Brainsway, Lundbeck Int. Neuroscience Foundation, Lundbeck A/S, The Wolfson Foundation, Bloomfield Holding Ltd, Shanghai Research Center for Brain Science, Thieme Verlag, Sage Therapeutics, v Behring Röntgen Stiftung, Fondation FondaMental, Janssen-Cilag GmbH, MedinCell, Brain Mind Institute, Agence Nationale de la Recherche, CISSN (Catania Internat. Summer School of Neuroscience), Daimler und Benz Stiftung, American Association for the Advancement of Science, Servier International. Additionally, he has received speaker fees from: Italian Society of Biological Psychiatry, Merz-Stiftung, Forum Werkstatt Karlsruhe, Lundbeck SAS France, BAG Psychiatrie Oberbayern, Klinik für Psychiatrie und Psychotherapie Ingolstadt, med Update GmbH, Society of Biological Psychiatry, Siemens Healthineers, Biotest AG -All unrelated to this work. Terence A. Ketter has been a consultant to Otsuka Pharmaceuticals, Sunovion Pharmaceuticals, Abbvie, and Alkermes. Joseph Goldberg has been a consultant to BioXCel, Otsuka, Sage Pharmaceuticals, Sunovion, and WebMD, and served on the speaker boards for Allergan, Intracellular Therapies, and Sunovion. Rif S. El-Mallakh is on the speaker bureau of Alkermes, Eisai, Indivior, Intra-Cellular Therapeutics, Janssen, Lundbeck, Noven, Otsuka, Sunonvion, and Teva. Lakshmi N Yatham has been on speaker/advisory boards for, or has received research grants from Abbvie, Alkermes, Allergan, CANMAT, CIHR, DSP, Merck, and Sanofi Rasmus W. Licht has within the preceding three years served an advisory board of Janssen Cilag and Sagw, and received speaker honorarium from Astra-Zeneca, Jannsen-Cilag, Servier and Lundbeck Allan H. Young has been employed by King's College London; Honorary Consultant SLaM (NHS UK). Young has participated in paid lectures and advisory boards for the following companies with drugs used in affective and related disorders: Astrazenaca, Eli Lilly, Lundbeck, Sunovion, Servier, Livanova, Janssen, Allegan, Bionomics, Sumitomo Dainippon Pharma, COMPASS Allan H. Young's independent research funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health.Consultant to Johnson & Johnson and Livanova. Received honoraria for attending advisory boards and presenting talks at meetings organized by LivaNova. Prof. Alessandro Serretti is or has been consultant/speaker for: Abbott, Abbvie, Angelini, Astra Zeneca, Clinical Data, Bo- heringer, Bristol Myers Squibb, Eli Lilly, GlaxoSmithKline, Innovapharma, Italfarmaco, Janssen, Lundbeck, Naurex, Pfizer, Polifarma, Sanofi, Servier. Ayşegül Yildiz has nothing to declare. Jean Michel Azorin has received honoraria or research or educational conference grants from Lundbeck and Otsuka. Othman Sentissi has received advisory board honoraria or research or educational conference from Otsuka, Lilly, Lundbeck, Sandoz, Janssen and Sunovion on an institutional account for research and teaching. Prof. Gordon Parker has received lecture fees and board member honoraria from Otsuka, Servier and Lundbeck. Dr. David Bond has received consulting fees and/or research grants from Alkermes, Myriad Genetics, the National Institutes of Health, the University of Minnesota Department of Psychiatry and Behavioral Sciences, and the University of Minnesota Foundation. Prof. Giulio Perugi has received grant/research support from Eli Lilly & Co.; is on the speaker/advisory board of Sanofi-Aventis, Bristol-Myers Squibb, AstraZeneca, Eli Lilly & Co., Jannsen-Cilag, and Lundbeck; and has acted as consultant of AstraZeneca, Eli Lilly & Co., and Lundbeck. Prof. Eduard Vieta has received grants and served as consultant, advisor or CME speaker for the following entities: AB- Biotics, Abbott, Allergan, Angelini, Dainippon Sumitomo Pharma, Galenica, Janssen, Lundbeck, Novartis, Otsuka, Sage, Sanofi-Aventis, and Takeda. Dina Popovic has served as a speaker and/or medical writer and/or consultant and/or has participated in advisory boards for Bristol-Myers Squibb, Dexel, Merck Sharp & Dohme, Janssen-Cilag, Lundbeck, Ferrer, and Forum Pharmaceuticals. None of the remaining authors have conflicts of interest to declare., (Copyright © 2022 Elsevier B.V. and ECNP. All rights reserved.)

Published
2022
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4. Precision psychiatry: Complex problems require complex solutions.

Author

Salagre E and Vieta E

Subjects
Humans, Mental Disorders diagnosis, Mental Disorders therapy, Psychiatry
Abstract

Competing Interests: Declaration of Competing Interest E.V. has received grants and served as consultant, advisor or CME speaker unrelated to this work for the following entities: AB-Biotics, Abbvie, Angelini, Dainippon Sumitomo Pharma, Ferrer, GH Research, Gedeon Richter, Janssen, Lundbeck, Otsuka, Sage, Sanofi-Aventis, Sunovion, and Takeda. E.S. declares no conflict of interest.

Published
2021
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9. Psychiatry in the aftermath of COVID-19.

Author

Vieta E, Pérez V, and Arango C

Subjects
COVID-19, Grief, Health Personnel psychology, Humans, Mental Health, Occupational Health, Pandemics, Psychiatry methods, Psychiatry organization & administration, Quarantine psychology, SARS-CoV-2, Spain, Telemedicine methods, Telemedicine organization & administration, Betacoronavirus, Coronavirus Infections psychology, Mental Disorders diagnosis, Mental Disorders therapy, Mental Health Services organization & administration, Pneumonia, Viral psychology, Psychiatry trends
Published
2020
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10. One decade of the first episodes project (PEPs): Advancing towards a precision psychiatry.

Author

Bernardo M, Cabrera B, Arango C, Bioque M, Castro-Fornieles J, Cuesta MJ, Lafuente A, Parellada M, Saiz-Ruiz J, and Vieta E

Subjects
Diagnosis, Differential, Humans, Program Evaluation, Risk Factors, Schizophrenia diagnosis, Schizophrenia etiology, Spain, Gene-Environment Interaction, Precision Medicine methods, Psychiatry methods, Psychotic Disorders diagnosis, Psychotic Disorders etiology, Psychotic Disorders therapy
Published
2019
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11. Clinical features of a sample of inpatients with adjustment disorder referred to a consultation-liaison psychiatry service over 10 years.

Author

Sánchez-González R, Rodríguez-Urrutia A, Monteagudo-Gimeno E, Vieta E, Pérez-Solá V, Herranz-Villanueva S, and Pintor-Pérez L

Subjects
Adult, Aged, Comorbidity, Female, Humans, Inpatients statistics & numerical data, Longitudinal Studies, Male, Middle Aged, Adjustment Disorders therapy, Hospitalization statistics & numerical data, Hospitals, General statistics & numerical data, Psychiatry statistics & numerical data, Referral and Consultation statistics & numerical data
Published
2018
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13. Critical issues on the use of network meta-analysis in psychiatry.

Author

Yildiz A, Vieta E, Correll CU, Nikodem M, and Baldessarini RJ

Subjects
Cost-Benefit Analysis, Humans, Mental Disorders diagnosis, Mental Disorders drug therapy, Mental Disorders economics, Mental Disorders therapy, Psychotropic Drugs therapeutic use, Treatment Outcome, Meta-Analysis as Topic, Psychiatry methods
Abstract

The need to support clinical decision making and cost-effectiveness analyses in medicine, despite a dearth of head-to-head treatment comparisons, has encouraged the development of methods enabling indirect comparisons of treatment alternatives, including network meta-analysis (NMA). Valid application of NMA requires close similarity of compared trials, including their design, patient characteristics, and methods of diagnosis and symptomatic assessment. When biological or other objective measures of outcomes are not available, as is the case in psychiatric disorders, subtle differences in characteristics of trials or participants may lead to unrecognized incoherence within a network and thus to inconsistent results. By considering comparative-efficacy analyses of psychotropic drugs in major psychiatric disorders as working examples, we underscore the risks of violating the fundamental transitivity assumption in the context of NMA and suggest precautions for creating a coherent network. We conclude that with thoughtful and critical application, NMA can add useful information concerning the comparative benefits, risks, and costs of specific treatments in psychiatry.

Published
2014
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14. Pros and cons of specialised care in bipolar disorder: an international perspective.

Author

Vieta E

Subjects
Humans, Bipolar Disorder therapy, Psychiatry, Specialization
Abstract

Highly specialised care may have both pros and cons. Centralised expert treatment may be more effective than standard community care for bipolar disorder. Rather than trying to solve the false dichotomy between specialised v. community care, the rational integration of both approaches may enhance quality of care and cost-effectiveness.

Published
2013
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15. Psychiatrists' perceptions of potential reasons for non- and partial adherence to medication: results of a survey in bipolar disorder from eight European countries.

Author

Vieta E, Azorin JM, Bauer M, Frangou S, Perugi G, Martinez G, and Schreiner A

Subjects
Activities of Daily Living, Adult, Antimanic Agents adverse effects, Bipolar Disorder psychology, Disease Progression, Europe, Female, Health Care Surveys instrumentation, Health Care Surveys methods, Humans, Male, Middle Aged, Substance-Related Disorders psychology, Antimanic Agents therapeutic use, Bipolar Disorder drug therapy, Medication Adherence psychology, Psychiatry
Abstract

Background: Partial/non-adherence to medication by patients with bipolar disorder is associated with exacerbation of symptoms, neurocognitive decline and increased risk of suicide and has a major influence on patient outcomes. Understanding psychiatrists' views on the causes and management of non-adherence are vital to address adherence problems effectively., Methods: A 15-question survey was conducted of 2448 psychiatrists treating patients with bipolar disorder in eight European countries to ascertain their perceptions of the level and causes of non-adherence, and their preferred methods by which to assess it., Results: A majority of patients (57%) were estimated to be partially/non-adherent. Three in four psychiatrists responded that most patients who deteriorated after stopping medication were unable to attribute this to non-adherence. An irregular daily routine/living circumstance affecting adherence was considered the most important reason for patients discontinuing medication. Only 4% of psychiatrists deemed intolerable side effects had led to most patients stopping their medication; 11% responded that drug/alcohol consumption may have impacted on adherence to medication for the majority of patients., Limitations: The survey was not distributed to all psychiatrists in the countries and the impact on the results, of any difference in the demographics of the respondents with respect to the population of psychiatrists across the eight countries, is not known., Conclusions: Partial/non-adherence remains a considerable problem amongst patients with bipolar disorder. There is a need for increased knowledge concerning partial/non-adherence at the level of the clinician-patient interaction, to reduce its impact and bring about improved clinical outcomes., (Copyright © 2012 Elsevier B.V. All rights reserved.)

Published
2012
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16. Andrés Piquer-Arrufat (1711-1772): contributions of an eighteenth-century spanish physician to the concept of manic-depressive illness.

Author

Pérez J, Baldessarini RJ, Cruz N, Salvatore P, and Vieta E

Subjects
Bipolar Disorder classification, History, 18th Century, Humans, Male, Practice Patterns, Physicians' history, Psychological Theory, Spain, Textbooks as Topic history, Bipolar Disorder history, Psychiatry history
Abstract

Largely unknown in Anglophonic medicine, eighteenth-century Spanish physician-scholar Andrés Piquer-Arrufat was early to coin a name (affectio melancholico-maníaca, or "melancholic-manic illness") for the syndrome that emerged much later as manic-depressive illness and then bipolar disorder. He considered it a single, independent diagnostic entity, distinct from mania and melancholia, with varying manifestations over time. Piquer recognized mixed states, seasonality, and rapid cycling, and hypothesized "mental or cerebral damage" as underlying the disorder. His formulations evolved from clinical observations of patients over time, including his detailed longitudinal clinical description of Spanish King Ferdinand VI (1759), and as presented in his own medical textbook (1764). Piquer anticipated the often cited nineteenth-century works of Jean Falret and Jules Baillarger in Paris, and later, Emil Kraepelin in Heidelberg, by more than a century., (© 2011 President and Fellows of Harvard College)

Published
2011
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17. Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders-ENIGMA study in people with bipolar disorders and obesity.

Author

McWhinney, Sean, Hlinka, Jaroslav, Bakstein, Eduard, Dietze, Lorielle, Corkum, Emily, Abé, Christoph, Alda, Martin, Alexander, Nina, Benedetti, Francesco, Berk, Michael, Bøen, Erlend, Bonnekoh, Linda, Boye, Birgitte, Brosch, Katharina, Canales-Rodríguez, Erick, Cannon, Dara, Dannlowski, Udo, Demro, Caroline, Diaz-Zuluaga, Ana, Elvsåshagen, Torbjørn, Eyler, Lisa, Fortea, Lydia, Fullerton, Janice, Goltermann, Janik, Gotlib, Ian, Grotegerd, Dominik, Haarman, Bartholomeus, Hahn, Tim, Howells, Fleur, Jamalabadi, Hamidreza, Jansen, Andreas, Kircher, Tilo, Klahn, Anna, Kuplicki, Rayus, Lahud, Elijah, Landén, Mikael, Leehr, Elisabeth, Lopez-Jaramillo, Carlos, Mackey, Scott, Malt, Ulrik, Martyn, Fiona, Mazza, Elena, McDonald, Colm, McPhilemy, Genevieve, Meier, Sandra, Meinert, Susanne, Melloni, Elisa, Mitchell, Philip, Nabulsi, Leila, Nenadić, Igor, Nitsch, Robert, Opel, Nils, Ophoff, Roel, Ortuño, Maria, Overs, Bronwyn, Pineda-Zapata, Julian, Pomarol-Clotet, Edith, Radua, Joaquim, Repple, Jonathan, Roberts, Gloria, Rodriguez-Cano, Elena, Sacchet, Matthew, Salvador, Raymond, Savitz, Jonathan, Scheffler, Freda, Schofield, Peter, Schürmeyer, Navid, Shen, Chen, Sim, Kang, Sponheim, Scott, Stein, Dan, Stein, Frederike, Straube, Benjamin, Suo, Chao, Temmingh, Henk, Teutenberg, Lea, Thomas-Odenthal, Florian, Thomopoulos, Sophia, Urosevic, Snezana, Usemann, Paula, van Haren, Neeltje, Vargas, Cristian, Vieta, Eduard, Vilajosana, Enric, Vreeker, Annabel, Winter, Nils, Yatham, Lakshmi, Thompson, Paul, Andreassen, Ole, Ching, Christopher, and Hajek, Tomas

Subjects
MRI, bipolar disorder, body mass index, obesity, principal component analysis, psychiatry, Humans, Bipolar Disorder, Principal Component Analysis, Adult, Female, Male, Magnetic Resonance Imaging, Middle Aged, Obesity, Schizophrenia, Cerebral Cortex, Cluster Analysis, Young Adult, Brain
Abstract

Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which are characterized not by alterations in a single region, but rather by variations across distributed brain networks. Here, we used principal component analysis (PCA) to identify patterns of covariance across brain regions and relate them to clinical and demographic variables in a large generalizable dataset of individuals with bipolar disorders and controls. We then compared performance of PCA and clustering on identical sample to identify which methodology was better in capturing links between brain and clinical measures. Using data from the ENIGMA-BD working group, we investigated T1-weighted structural MRI data from 2436 participants with BD and healthy controls, and applied PCA to cortical thickness and surface area measures. We then studied the association of principal components with clinical and demographic variables using mixed regression models. We compared the PCA model with our prior clustering analyses of the same data and also tested it in a replication sample of 327 participants with BD or schizophrenia and healthy controls. The first principal component, which indexed a greater cortical thickness across all 68 cortical regions, was negatively associated with BD, BMI, antipsychotic medications, and age and was positively associated with Li treatment. PCA demonstrated superior goodness of fit to clustering when predicting diagnosis and BMI. Moreover, applying the PCA model to the replication sample yielded significant differences in cortical thickness between healthy controls and individuals with BD or schizophrenia. Cortical thickness in the same widespread regional network as determined by PCA was negatively associated with different clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. PCA outperformed clustering and provided an easy-to-use and interpret method to study multivariate associations between brain structure and system-level variables. PRACTITIONER POINTS: In this study of 2770 Individuals, we confirmed that cortical thickness in widespread regional networks as determined by principal component analysis (PCA) was negatively associated with relevant clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. Significant associations of many different system-level variables with the same brain network suggest a lack of one-to-one mapping of individual clinical and demographic factors to specific patterns of brain changes. PCA outperformed clustering analysis in the same data set when predicting group or BMI, providing a superior method for studying multivariate associations between brain structure and system-level variables.

Published
2024

18. Bipolar I and bipolar II subtypes in older age: Results from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE‐BD) project

Author

Beunders, Alexandra JM, Klaus, Federica, Kok, Almar AL, Schouws, Sigfried NTM, Kupka, Ralph W, Blumberg, Hilary P, Briggs, Farren, Eyler, Lisa T, Forester, Brent P, Forlenza, Orestes V, Gildengers, Ariel, Jimenez, Esther, Mulsant, Benoit H, Patrick, Regan E, Rej, Soham, Sajatovic, Martha, Sarna, Kaylee, Sutherland, Ashley, Yala, Joy, Vieta, Eduard, Villa, Luca M, Korten, Nicole CM, and Dols, Annemieke

Subjects
Bipolar Disorder, Serious Mental Illness, Depression, Clinical Research, Mental Health, Aging, Brain Disorders, 2.4 Surveillance and distribution, Aetiology, Mental health, Humans, Aged, Cross-Sectional Studies, Cognition, Cognitive Dysfunction, bipolar disorder, cognition, comorbidities, diagnostic subtypes, elderly, functioning, geriatrics, impairment, older-age bipolar disorder, psychiatry, Clinical Sciences, Neurosciences, Psychiatry
Abstract

ObjectivesThe distinction between bipolar I disorder (BD-I) and bipolar II disorder (BD-II) has been a topic of long-lasting debate. This study examined differences between BD-I and BD-II in a large, global sample of OABD, focusing on general functioning, cognition and somatic burden as these domains are often affected in OABD.MethodsCross-sectional analyses were conducted with data from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) database. The sample included 963 participants aged ≥50 years (714 BD-I, 249 BD-II). Sociodemographic and clinical factors were compared between BD subtypes including adjustment for study cohort. Multivariable analyses were conducted with generalized linear mixed models (GLMMs) and estimated associations between BD subtype and (1) general functioning (GAF), (2) cognitive performance (g-score) and (3) somatic burden, with study cohort as random intercept.ResultsAfter adjustment for study cohort, BD-II patients more often had a late onset ≥50 years (p = 0.008) and more current severe depression (p = 0.041). BD-I patients were more likely to have a history of psychiatric hospitalization (p

Published
2023

19. The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management

Author

McIntyre, Roger S, Alda, Martin, Baldessarini, Ross J, Bauer, Michael, Berk, Michael, Correll, Christoph U, Fagiolini, Andrea, Fountoulakis, Kostas, Frye, Mark A, Grunze, Heinz, Kessing, Lars V, Miklowitz, David J, Parker, Gordon, Post, Robert M, Swann, Alan C, Suppes, Trisha, Vieta, Eduard, Young, Allan, and Maj, Mario

Subjects
Health Services and Systems, Health Sciences, Clinical Research, Serious Mental Illness, Patient Safety, Prevention, Behavioral and Social Science, Suicide, Mental Health, Brain Disorders, Management of diseases and conditions, 7.3 Management and decision making, 7.1 Individual care needs, Mental health, Good Health and Well Being, Bipolar disorder, clinical characterization, phenotyping, subtypes, mixed features, cognition, rapid cycling, trauma, comorbidity, social determinants, stigma, stressors, resilience, bipolar I disorder, bipolar II disorder, mania, depression, personalization, Clinical Sciences, Psychiatry, Clinical sciences, Health services and systems
Abstract

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.

Published
2022

20. Demographic and Clinical Characteristics of Antipsychotic Drug-Treated Older Adults with Bipolar Disorder from the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD).

Author

Chen, Peijun, Eyler, Lisa T, Gildengers, Ariel, Beunders, Alexandra Jm, Blumberg, Hilary P, Briggs, Farren Bs, Dols, Annemiek, Rej, Soham, Forlenza, Orestes V, Jimenez, Esther, Mulsant, Benoit, Schouws, Sigfried, Orhan, Melis, Sarna, Kaylee, Sutherland, Ashley N, Vieta, Eduard, Tsai, Shangying, Yala, Joy, Villa, Luca M, and Sajatovic, Martha

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Mental Health, Bipolar Disorder, Aging, Serious Mental Illness, Clinical Research, Brain Disorders, Aetiology, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, 2.4 Surveillance and distribution, Mental health, Adult, Aged, Antipsychotic Agents, Cross-Sectional Studies, Demography, Female, Humans, Male, Middle Aged, aging, antipsychotic medication, bipolar disorder, geriatric, manic-depressive disorder, Psychiatry
Abstract

ObjectivesAntipsychotic drugs (APS) are widely used to treat patients with bipolar disorder (BD), but there is limited information in older-age bipolar disorder (OABD). This analysis of the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD) investigated characteristics of OABD patients prescribed APS vs. those not prescribed APS.Experimental designThe observational analysis used baseline, cross-sectional data from 16 international studies for adults aged ≥ 50 years with BD comprising 1,007 individuals with mean age 63.2 years (SD = 9.0), 57.4% women, and mean age of onset 31.6 years (SD = 15.0). The dependent variable was current APS treatment status. The independent variables included demographic and clinical variables, and a random effect for study, that were included in generalized mixed models.Principal observations46.6% of individuals (n = 469) were using APS. The multivariate model results suggest that those treated with APS were younger (p = 0.01), less likely to be employed (p < 0.001), had more psychiatric hospitalizations (p = 0.009) and were less likely to be on lithium (p < 0.001). Of individuals on APS, only 6.6% of those (n = 27) were on first-generation antipsychotics (FGAs) and experienced a greater burden of psychiatric hospitalizations (p = 0.012).ConclusionsAPS are widely prescribed in OABD, observed in nearly half of this sample with great variation across sites. Individuals with OABD on APS have more severe illness, more frequent hospitalizations and are more often unemployed vs. those not on APS. Future studies need to examine longitudinal outcomes in OABD prescribed APS to characterize underlying causal relationships.

Published
2022

21. Bipolar symptoms, somatic burden, and functioning in older‐age bipolar disorder: Analyses from the Global Aging & Geriatric Experiments in Bipolar Disorder Database project

Author

Sajatovic, Martha, Dols, Annemiek, Rej, Soham, Almeida, Osvaldo P, Beunders, Alexandra JM, Blumberg, Hilary P, Briggs, Farren BS, Forester, Brent P, Patrick, Regan E, Forlenza, Orestes V, Gildengers, Ariel, Jimenez, Esther, Vieta, Eduard, Mulsant, Benoit, Schouws, Sigfried, Paans, Nadine, Strejilevich, Sergio, Sutherland, Ashley, Tsai, Shangying, Wilson, Betsy, and Eyler, Lisa T

Subjects
Serious Mental Illness, Aging, Depression, Bipolar Disorder, Brain Disorders, Mental Health, Mental health, Aged, Cross-Sectional Studies, Female, Humans, Male, Medically Unexplained Symptoms, Middle Aged, Psychiatric Status Rating Scales, aging, bipolar disorder, depression, functioning, mania, medical burden, Clinical Sciences, Neurosciences, Psychiatry
Abstract

ObjectiveLiterature on older-age bipolar disorder (OABD) is limited. This first-ever analysis of the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD) investigated associations among age, BD symptoms, comorbidity, and functioning.MethodsThis analysis used harmonized, baseline, cross-sectional data from 19 international studies (N = 1377). Standardized measures included the Young Mania Rating Scale (YMRS), Hamilton Depression Rating Scale (HAM-D), Montgomery-Asberg Depression Rating Scale (MADRS), and Global Assessment of Functioning (GAF).ResultsMean sample age was 60.8 years (standard deviation [SD] 12.2 years), 55% female, 72% BD I. Mood symptom severity was low: mean total YMRS score of 4.3 (SD 5.4) and moderate-to-severe depression in only 22%. Controlled for sample effects, both manic and depressive symptom severity appeared lower among older individuals (p's

Published
2022

22. What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group

Author

Ching, Christopher RK, Hibar, Derrek P, Gurholt, Tiril P, Nunes, Abraham, Thomopoulos, Sophia I, Abé, Christoph, Agartz, Ingrid, Brouwer, Rachel M, Cannon, Dara M, Zwarte, Sonja MC, Eyler, Lisa T, Favre, Pauline, Hajek, Tomas, Haukvik, Unn K, Houenou, Josselin, Landén, Mikael, Lett, Tristram A, McDonald, Colm, Nabulsi, Leila, Patel, Yash, Pauling, Melissa E, Paus, Tomas, Radua, Joaquim, Soeiro‐de‐Souza, Marcio G, Tronchin, Giulia, Haren, Neeltje EM, Vieta, Eduard, Walter, Henrik, Zeng, Ling‐Li, Alda, Martin, Almeida, Jorge, Alnæs, Dag, Alonso‐Lana, Silvia, Altimus, Cara, Bauer, Michael, Baune, Bernhard T, Bearden, Carrie E, Bellani, Marcella, Benedetti, Francesco, Berk, Michael, Bilderbeck, Amy C, Blumberg, Hilary P, Bøen, Erlend, Bollettini, Irene, Bonnin, Caterina Mar, Brambilla, Paolo, Canales‐Rodríguez, Erick J, Caseras, Xavier, Dandash, Orwa, Dannlowski, Udo, Delvecchio, Giuseppe, Díaz‐Zuluaga, Ana M, Dima, Danai, Duchesnay, Édouard, Elvsåshagen, Torbjørn, Fears, Scott C, Frangou, Sophia, Fullerton, Janice M, Glahn, David C, Goikolea, Jose M, Green, Melissa J, Grotegerd, Dominik, Gruber, Oliver, Haarman, Bartholomeus CM, Henry, Chantal, Howells, Fleur M, Ives‐Deliperi, Victoria, Jansen, Andreas, Kircher, Tilo TJ, Knöchel, Christian, Kramer, Bernd, Lafer, Beny, López‐Jaramillo, Carlos, Machado‐Vieira, Rodrigo, MacIntosh, Bradley J, Melloni, Elisa MT, Mitchell, Philip B, Nenadic, Igor, Nery, Fabiano, Nugent, Allison C, Oertel, Viola, Ophoff, Roel A, Ota, Miho, Overs, Bronwyn J, Pham, Daniel L, Phillips, Mary L, Pineda‐Zapata, Julian A, Poletti, Sara, Polosan, Mircea, Pomarol‐Clotet, Edith, Pouchon, Arnaud, Quidé, Yann, Rive, Maria M, Roberts, Gloria, Ruhe, Henricus G, Salvador, Raymond, Sarró, Salvador, Satterthwaite, Theodore D, Schene, Aart H, and Sim, Kang

Subjects
Serious Mental Illness, Brain Disorders, Biomedical Imaging, Bipolar Disorder, Clinical Research, Behavioral and Social Science, Mental Health, Neurosciences, Mental health, Neurological, Good Health and Well Being, Cerebral Cortex, Humans, Magnetic Resonance Imaging, Meta-Analysis as Topic, Multicenter Studies as Topic, Neuroimaging, bipolar disorder, cortical surface area, cortical thickness, ENIGMA, mega-analysis, meta-analysis, MRI, neuroimaging, psychiatry, volume, ENIGMA Bipolar Disorder Working Group, Cognitive Sciences, Experimental Psychology
Abstract

MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.

Published
2022

23. Association between body mass index and subcortical brain volumes in bipolar disorders–ENIGMA study in 2735 individuals

Author

McWhinney, Sean R, Abé, Christoph, Alda, Martin, Benedetti, Francesco, Bøen, Erlend, del Mar Bonnin, Caterina, Borgers, Tiana, Brosch, Katharina, Canales-Rodríguez, Erick J, Cannon, Dara M, Dannlowski, Udo, Díaz-Zuluaga, Ana M, Elvsåshagen, Torbjørn, Eyler, Lisa T, Fullerton, Janice M, Goikolea, Jose M, Goltermann, Janik, Grotegerd, Dominik, Haarman, Bartholomeus CM, Hahn, Tim, Howells, Fleur M, Ingvar, Martin, Kircher, Tilo TJ, Krug, Axel, Kuplicki, Rayus T, Landén, Mikael, Lemke, Hannah, Liberg, Benny, Lopez-Jaramillo, Carlos, Malt, Ulrik F, Martyn, Fiona M, Mazza, Elena, McDonald, Colm, McPhilemy, Genevieve, Meier, Sandra, Meinert, Susanne, Meller, Tina, Melloni, Elisa MT, Mitchell, Philip B, Nabulsi, Leila, Nenadic, Igor, Opel, Nils, Ophoff, Roel A, Overs, Bronwyn J, Pfarr, Julia-Katharina, Pineda-Zapata, Julian A, Pomarol-Clotet, Edith, Raduà, Joaquim, Repple, Jonathan, Richter, Maike, Ringwald, Kai G, Roberts, Gloria, Salvador, Raymond, Savitz, Jonathan, Schmitt, Simon, Schofield, Peter R, Sim, Kang, Stein, Dan J, Stein, Frederike, Temmingh, Henk S, Thiel, Katharina, van Haren, Neeltje EM, Gestel, Holly Van, Vargas, Cristian, Vieta, Eduard, Vreeker, Annabel, Waltemate, Lena, Yatham, Lakshmi N, Ching, Christopher RK, Andreassen, Ole, Thompson, Paul M, and Hajek, Tomas

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Mental Health, Biomedical Imaging, Nutrition, Brain Disorders, Obesity, Neurosciences, Clinical Research, Prevention, Mental health, Amygdala, Bipolar Disorder, Body Mass Index, Brain, Humans, Magnetic Resonance Imaging, ENIGMA Bipolar Disorders Working Group, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Individuals with bipolar disorders (BD) frequently suffer from obesity, which is often associated with neurostructural alterations. Yet, the effects of obesity on brain structure in BD are under-researched. We obtained MRI-derived brain subcortical volumes and body mass index (BMI) from 1134 BD and 1601 control individuals from 17 independent research sites within the ENIGMA-BD Working Group. We jointly modeled the effects of BD and BMI on subcortical volumes using mixed-effects modeling and tested for mediation of group differences by obesity using nonparametric bootstrapping. All models controlled for age, sex, hemisphere, total intracranial volume, and data collection site. Relative to controls, individuals with BD had significantly higher BMI, larger lateral ventricular volume, and smaller volumes of amygdala, hippocampus, pallidum, caudate, and thalamus. BMI was positively associated with ventricular and amygdala and negatively with pallidal volumes. When analyzed jointly, both BD and BMI remained associated with volumes of lateral ventricles  and amygdala. Adjusting for BMI decreased the BD vs control differences in ventricular volume. Specifically, 18.41% of the association between BD and ventricular volume was mediated by BMI (Z = 2.73, p = 0.006). BMI was associated with similar regional brain volumes as BD, including lateral ventricles, amygdala, and pallidum. Higher BMI may in part account for larger ventricles, one of the most replicated findings in BD. Comorbidity with obesity could explain why neurostructural alterations are more pronounced in some individuals with BD. Future prospective brain imaging studies should investigate whether obesity could be a modifiable risk factor for neuroprogression.

Published
2021

24. Collaborative Outcomes Study on Health and Functioning During Infection Times (COH-FIT): Global and Risk-Group Stratified Course of Well-Being and Mental Health During the COVID-19 Pandemic in Adolescents

Author

Solmi, Marco, Thompson, Trevor, Cortese, Samuele, Estradé, Andrés, Agorastos, Agorastos, Radua, Joaquim, Dragioti, Elena, Vancampfort, Davy, Thygesen, Lau Caspar, Aschauer, Harald, Schlögelhofer, Monika, Aschauer, Elena, Schneeberger, Andres Andres, Huber, Christian G., Hasler, Gregor, Conus, Philippe, Do Cuénod, Kim Q., von Känel, Roland, Arrondo, Gonzalo, Fusar-Poli, Paolo, Gorwood, Philip, Llorca, Pierre-Michel, Krebs, Marie-Odile, Scanferla, Elisabetta, Kishimoto, Taishiro, Rabbani, Golam, Skonieczna-Żydecka, Karolina, Brambilla, Paolo, Favaro, Angela, Takamiya, Akihiro, Zoccante, Leonardo, Colizzi, Marco, Bourgin, Julie, Kamiński, Karol, Moghadasin, Maryam, Seedat, Soraya, Matthews, Evan, Wells, John, Vassilopoulou, Emilia, Gadelha, Ary, Su, Kuan-Pin, Kwon, Jun Soo, Kim, Minah, Lee, Tae Young, Papsuev, Oleg, Manková, Denisa, Boscutti, Andrea, Gerunda, Cristiano, Saccon, Diego, Righi, Elena, Monaco, Francesco, Croatto, Giovanni, Cereda, Guido, Demurtas, Jacopo, Brondino, Natascia, Veronese, Nicola, Enrico, Paolo, Politi, Pierluigi, Ciappolino, Valentina, Pfennig, Andrea, Bechdolf, Andreas, Meyer-Lindenberg, Andreas, Kahl, Kai G., Domschke, Katharina, Bauer, Michael, Koutsouleris, Nikolaos, Winter, Sibylle, Borgwardt, Stefan, Bitter, Istvan, Balazs, Judit, Czobor, Pál, Unoka, Zsolt, Mavridis, Dimitris, Tsamakis, Konstantinos, Bozikas, Vasilios P., Tunvirachaisakul, Chavit, Maes, Michael, Rungnirundorn, Teerayuth, Supasitthumrong, Thitiporn, Haque, Ariful, Brunoni, Andre R., Costardi, Carlos Gustavo, Schuch, Felipe Barreto, Polanczyk, Guilherme, Luiz, Jhoanne Merlyn, Fonseca, Lais, Aparicio, Luana V., Valvassori, Samira S., Nordentoft, Merete, Vendsborg, Per, Hoffmann, Sofie Have, Sehli, Jihed, Sartorius, Norman, Heuss, Sabina, Guinart, Daniel, Hamilton, Jane, Kane, John, Rubio, Jose, Sand, Michael, Koyanagi, Ai, Solanes, Aleix, Andreu-Bernabeu, Alvaro, San José Cáceres, Antonia, Arango, Celso, Díaz-Caneja, Covadonga M., Hidalgo-Mazzei, Diego, Vieta, Eduard, Gonzalez-Peñas, Javier, Fortea, Lydia, Parellada, Mara, Fullana, Miquel A., Verdolini, Norma, Andrlíková, Eva, Janků, Karolina, Millan, Mark J., Honciuc, Mihaela, Moniuszko-Malinowska, Anna, Łoniewski, Igor, Samochowiec, Jerzy, Kiszkiel, Łukasz, Marlicz, Maria, Sowa, Paweł, Marlicz, Wojciech, Spies, Georgina, Stubbs, Brendon, Firth, Joseph, Sullivan, Sarah, Darcin, Asli Enez, Aksu, Hatice, Dilbaz, Nesrin, Noyan, Onur, Kitazawa, Momoko, Kurokawa, Shunya, Tazawa, Yuki, Anselmi, Alejandro, Cracco, Cecilia, Machado, Ana Inés, Estrade, Natalia, De Leo, Diego, Curtis, Jackie, Berk, Michael, Carvalho, Andre F., Ward, Philip, Teasdale, Scott, Rosenbaum, Simon, Marx, Wolfgang, Horodnic, Adrian Vasile, Oprea, Liviu, Alexinschi, Ovidiu, Ifteni, Petru, Turliuc, Serban, Ciuhodaru, Tudor, Bolos, Alexandra, Matei, Valentin, Nieman, Dorien H., Sommer, Iris, van Os, Jim, van Amelsvoort, Therese, Sun, Ching-Fang, Guu, Ta-wei, Jiao, Can, Zhang, Jieting, Fan, Jialin, Zou, Liye, Yu, Xin, Chi, Xinli, de Timary, Philippe, van Winkel, Ruud, Ng, Bernardo, Pena, Edilberto, Arellano, Ramon, Roman, Raquel, Sanchez, Thelma, Movina, Larisa, Morgado, Pedro, Brissos, Sofia, Aizberg, Oleg, Mosina, Anna, Krinitski, Damir, Mugisha, James, Sadeghi-Bahmani, Dena, Sheybani, Farshad, Sadeghi, Masoud, Hadi, Samira, Brand, Serge, Errazuriz, Antonia, Crossley, Nicolas, Ristic, Dragana Ignjatovic, López-Jaramillo, Carlos, Efthymiou, Dimitris, Kuttichira, Praveenlal, Kallivayalil, Roy Abraham, Javed, Afzal, Afridi, Muhammad Iqbal, James, Bawo, Seb-Akahomen, Omonefe Joy, Fiedorowicz, Jess, Daskalakis, Jeff, Yatham, Lakshmi N., Yang, Lin, Okasha, Tarek, Dahdouh, Aïcha, Tiihonen, Jari, Shin, Jae Il, Lee, Jinhee, Mhalla, Ahmed, Gaha, Lotfi, Brahim, Takoua, Altynbekov, Kuanysh, Negay, Nikolay, Nurmagambetova, Saltanat, Jamei, Yasser Abu, Weiser, Mark, and Correll, Christoph U.

Published
2024
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25. Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

Author

Nunes, Abraham, Schnack, Hugo G, Ching, Christopher RK, Agartz, Ingrid, Akudjedu, Theophilus N, Alda, Martin, Alnæs, Dag, Alonso-Lana, Silvia, Bauer, Jochen, Baune, Bernhard T, Bøen, Erlend, Bonnin, Caterina del Mar, Busatto, Geraldo F, Canales-Rodríguez, Erick J, Cannon, Dara M, Caseras, Xavier, Chaim-Avancini, Tiffany M, Dannlowski, Udo, Díaz-Zuluaga, Ana M, Dietsche, Bruno, Doan, Nhat Trung, Duchesnay, Edouard, Elvsåshagen, Torbjørn, Emden, Daniel, Eyler, Lisa T, Fatjó-Vilas, Mar, Favre, Pauline, Foley, Sonya F, Fullerton, Janice M, Glahn, David C, Goikolea, Jose M, Grotegerd, Dominik, Hahn, Tim, Henry, Chantal, Hibar, Derrek P, Houenou, Josselin, Howells, Fleur M, Jahanshad, Neda, Kaufmann, Tobias, Kenney, Joanne, Kircher, Tilo TJ, Krug, Axel, Lagerberg, Trine V, Lenroot, Rhoshel K, López-Jaramillo, Carlos, Machado-Vieira, Rodrigo, Malt, Ulrik F, McDonald, Colm, Mitchell, Philip B, Mwangi, Benson, Nabulsi, Leila, Opel, Nils, Overs, Bronwyn J, Pineda-Zapata, Julian A, Pomarol-Clotet, Edith, Redlich, Ronny, Roberts, Gloria, Rosa, Pedro G, Salvador, Raymond, Satterthwaite, Theodore D, Soares, Jair C, Stein, Dan J, Temmingh, Henk S, Trappenberg, Thomas, Uhlmann, Anne, van Haren, Neeltje EM, Vieta, Eduard, Westlye, Lars T, Wolf, Daniel H, Yüksel, Dilara, Zanetti, Marcus V, Andreassen, Ole A, Thompson, Paul M, and Hajek, Tomas

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Brain Disorders, Biomedical Imaging, Neurosciences, Mental Health, Clinical Research, Mental health, Bipolar Disorder, Brain, Humans, Machine Learning, Magnetic Resonance Imaging, Neuroimaging, ENIGMA Bipolar Disorders Working Group, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings neuroimaging analyses to individual subject level and may potentially allow for their diagnostic use. However, fair and optimal application of ML requires large, multi-site datasets. We applied ML (support vector machines) to MRI data (regional cortical thickness, surface area, subcortical volumes) from 853 BD and 2167 control participants from 13 cohorts in the ENIGMA consortium. We attempted to differentiate BD from control participants, investigated different data handling strategies and studied the neuroimaging/clinical features most important for classification. Individual site accuracies ranged from 45.23% to 81.07%. Aggregate subject-level analyses yielded the highest accuracy (65.23%, 95% CI = 63.47-67.00, ROC-AUC = 71.49%, 95% CI = 69.39-73.59), followed by leave-one-site-out cross-validation (accuracy = 58.67%, 95% CI = 56.70-60.63). Meta-analysis of individual site accuracies did not provide above chance results. There was substantial agreement between the regions that contributed to identification of BD participants in the best performing site and in the aggregate dataset (Cohen's Kappa = 0.83, 95% CI = 0.829-0.831). Treatment with anticonvulsants and age were associated with greater odds of correct classification. Although short of the 80% clinically relevant accuracy threshold, the results are promising and provide a fair and realistic estimate of classification performance, which can be achieved in a large, ecologically valid, multi-site sample of BD participants based on regional neurostructural measures. Furthermore, the significant classification in different samples was based on plausible and similar neuroanatomical features. Future multi-site studies should move towards sharing of raw/voxelwise neuroimaging data.

Published
2020

26. Elevated Extracellular Free-Water in a Multicentric First-Episode Psychosis Sample, Decrease During the First 2 Years of Illness.

Author

Bergé, Daniel, Mané, Anna, Lesh, Tyler A, Bioque, Miquel, Barcones, Fe, Gonzalez-Pinto, Ana Maria, Parellada, Mara, Vieta, Eduard, Castro-Fornieles, Josefina, Rodriguez-Jimenez, Roberto, García-Portilla, Maria Paz, Usall, Judith, Carter, Cameron S, Cabrera, Bibiana, Bernardo, Miguel, Janssen, Joost, Mezquida, Gisela, Amoretti, Silvia, Pina-Camacho, Laura, Arango, Celso, González-Ortega, I, García, S, De-la-Cámara, C, Fayed, N, Sanjuan, Julio, Aguilar, EJ, Guo, Joyce Y, Salgado, Purificación, Raduà, Joquim, Sánchez-Moreno, J, de la Serna, Elena, Baeza, Ima, Contreras-Fernández, Fernando, Saiz-Masvidal, C, González-Blanco, L, Jiménez-Treviño, L, Dompablo, M, Torío, I, Butjosa, A, Rubio-Abadel, E, Sarró, S, and Pomarol-Clotet, E

Subjects
Clinical Research, Prevention, Neurosciences, Schizophrenia, Mental Health, Brain Disorders, Serious Mental Illness, Biomedical Imaging, 2.1 Biological and endogenous factors, Aetiology, Mental health, Adolescent, Adult, Body Water, Child, Cross-Sectional Studies, Female, Gray Matter, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Psychotic Disorders, White Matter, Young Adult, PEPs group, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Recent diffusion imaging studies using free-water (FW) elimination have shown increased FW in gray matter (GM) and white matter (WM) in first-episode psychosis (FEP) and lower corrected fractional anisotropy (FAt) in WM in chronic schizophrenia. However, little is known about the longitudinal stability and clinical significance of these findings. To determine tissue-specific FW and FAt abnormalities in FEP, as part of a multicenter Spanish study, 132 FEP and 108 healthy controls (HC) were clinically characterized and underwent structural and diffusion-weighted MRI scanning. FEP subjects were classified as schizophrenia spectrum disorder (SSD) or non-SSD. Of these subjects, 45 FEP and 41 HC were longitudinally assessed and rescanned after 2 years. FA and FW tissue-specific measurements were cross-sectional and longitudinally compared between groups using voxel-wise analyses in the skeletonized WM and vertex-wise analyses in the GM surface. SSD and non-SSD subjects showed (a) higher baseline FW in temporal regions and in whole GM average (P.adj(SSD vs HC) = .003, P.adj(Non-SSD vs HC) = .040) and (b) lower baseline FAt in several WM tracts. SSD, but not non-SSD, showed (a) higher FW in several WM tracts and in whole WM (P.adj(SSD vs HC)= .049) and (b) a significant FW decrease over time in temporal cortical regions and in whole GM average (P.adj = .011). Increased extracellular FW in the brain is a reliable finding in FEP, and in SSD appears to decrease over the early course of the illness. FAt abnormalities are stable during the first years of psychosis.

Published
2020

27. Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

Author

Favre, Pauline, Pauling, Melissa, Stout, Jacques, Hozer, Franz, Sarrazin, Samuel, Abé, Christoph, Alda, Martin, Alloza, Clara, Alonso-Lana, Silvia, Andreassen, Ole A, Baune, Bernhard T, Benedetti, Francesco, Busatto, Geraldo F, Canales-Rodríguez, Erick J, Caseras, Xavier, Chaim-Avancini, Tiffany Moukbel, Ching, Christopher RK, Dannlowski, Udo, Deppe, Michael, Eyler, Lisa T, Fatjo-Vilas, Mar, Foley, Sonya F, Grotegerd, Dominik, Hajek, Tomas, Haukvik, Unn K, Howells, Fleur M, Jahanshad, Neda, Kugel, Harald, Lagerberg, Trine V, Lawrie, Stephen M, Linke, Julia O, McIntosh, Andrew, Melloni, Elisa MT, Mitchell, Philip B, Polosan, Mircea, Pomarol-Clotet, Edith, Repple, Jonathan, Roberts, Gloria, Roos, Annerine, Rosa, Pedro GP, Salvador, Raymond, Sarró, Salvador, Schofield, Peter R, Serpa, Mauricio H, Sim, Kang, Stein, Dan J, Sussmann, Jess E, Temmingh, Henk S, Thompson, Paul M, Verdolini, Norma, Vieta, Eduard, Wessa, Michele, Whalley, Heather C, Zanetti, Marcus V, Leboyer, Marion, Mangin, Jean-François, Henry, Chantal, Duchesnay, Edouard, and Houenou, Josselin

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Brain Disorders, Serious Mental Illness, Neurosciences, Bipolar Disorder, Biomedical Imaging, Mental Health, Clinical Research, Mental health, Adult, Brain, Corpus Callosum, Diffusion Tensor Imaging, Female, Humans, Male, Neural Pathways, White Matter, ENIGMA Bipolar Disorder Working Group, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Biological psychology
Abstract

Fronto-limbic white matter (WM) abnormalities are assumed to lie at the heart of the pathophysiology of bipolar disorder (BD); however, diffusion tensor imaging (DTI) studies have reported heterogeneous results and it is not clear how the clinical heterogeneity is related to the observed differences. This study aimed to identify WM abnormalities that differentiate patients with BD from healthy controls (HC) in the largest DTI dataset of patients with BD to date, collected via the ENIGMA network. We gathered individual tensor-derived regional metrics from 26 cohorts leading to a sample size of N = 3033 (1482 BD and 1551 HC). Mean fractional anisotropy (FA) from 43 regions of interest (ROI) and average whole-brain FA were entered into univariate mega- and meta-analyses to differentiate patients with BD from HC. Mega-analysis revealed significantly lower FA in patients with BD compared with HC in 29 regions, with the highest effect sizes observed within the corpus callosum (R2 = 0.041, Pcorr

Published
2019

28. Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

Author

Favre, Pauline, Pauling, Melissa, Stout, Jacques, Hozer, Franz, Sarrazin, Samuel, Abé, Christoph, Alda, Martin, Alloza, Clara, Alonso-Lana, Silvia, Andreassen, Ole A, Baune, Bernhard T, Benedetti, Francesco, Busatto, Geraldo F, Canales-Rodríguez, Erick J, Caseras, Xavier, Chaim-Avancini, Tiffany Moukbel, Ching, Christopher RK, Dannlowski, Udo, Deppe, Michael, Eyler, Lisa T, Fatjo-Vilas, Mar, Foley, Sonya F, Grotegerd, Dominik, Hajek, Tomas, Haukvik, Unn K, Howells, Fleur M, Jahanshad, Neda, Kugel, Harald, Lagerberg, Trine V, Lawrie, Stephen M, Linke, Julia O, McIntosh, Andrew, Melloni, Elisa MT, Mitchell, Philip B, Polosan, Mircea, Pomarol-Clotet, Edith, Repple, Jonathan, Roberts, Gloria, Roos, Annerine, Rosa, Pedro GP, Salvador, Raymond, Sarró, Salvador, Schofield, Peter R, Serpa, Mauricio H, Sim, Kang, Stein, Dan J, Sussmann, Jess E, Temmingh, Henk S, Thompson, Paul M, Verdolini, Norma, Vieta, Eduard, Wessa, Michele, Whalley, Heather C, Zanetti, Marcus V, Leboyer, Marion, Mangin, Jean-François, Henry, Chantal, Duchesnay, Edouard, and Houenou, Josselin

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, ENIGMA Bipolar Disorder Working Group, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Biological psychology
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019

29. Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder

Author

Bauer, Michael, Glenn, Tasha, Achtyes, Eric D., Alda, Martin, Agaoglu, Esen, Altınbaş, Kürşat, Andreassen, Ole A., Angelopoulos, Elias, Ardau, Raffaella, Vares, Edgar Arrua, Aydin, Memduha, Ayhan, Yavuz, Baethge, Christopher, Bauer, Rita, Baune, Bernhard T., Balaban, Ceylan, Becerra-Palars, Claudia, Behere, Aniruddh P., Behere, Prakash B., Belete, Habte, Belete, Tilahun, Belizario, Gabriel Okawa, Bellivier, Frank, Belmaker, Robert H., Benedetti, Francesco, Berk, Michael, Bersudsky, Yuly, Bicakci, Şule, Birabwa-Oketcho, Harriet, Bjella, Thomas D., Brady, Conan, Cabrera, Jorge, Cappucciati, Marco, Castro, Angela Marianne Paredes, Chen, Wei-Ling, Cheung, Eric Y. Wo, Chiesa, Silvia, Crowe, Marie, Cuomo, Alessandro, Dallaspezia, Sara, Del Zompo, Maria, Desai, Pratikkumar, Dodd, Seetal, Donix, Markus, Etain, Bruno, Fagiolini, Andrea, Fellendorf, Frederike T., Ferensztajn-Rochowiak, Ewa, Fiedorowicz, Jess G., Fountoulakis, Kostas N., Frye, Mark A., Geoffroy, Pierre A., Gonzalez-Pinto, Ana, Gottlieb, John F., Grof, Paul, Haarman, Bartholomeus C. M., Harima, Hirohiko, Hasse-Sousa, Mathias, Henry, Chantal, Høffding, Lone, Houenou, Josselin, Imbesi, Massimiliano, Isometsä, Erkki T., Ivkovic, Maja, Janno, Sven, Johnsen, Simon, Kapczinski, Flávio, Karakatsoulis, Gregory N., Kardell, Mathias, Kessing, Lars Vedel, Kim, Seong Jae, König, Barbara, Kot, Timur L., Koval, Michael, Kunz, Mauricio, Lafer, Beny, Landén, Mikael, Larsen, Erik R., Lenger, Melanie, Lewitzka, Ute, Licht, Rasmus W., Lopez-Jaramillo, Carlos, MacKenzie, Alan, Madsen, Helle Østergaard, Madsen, Simone Alberte Kongstad A., Mahadevan, Jayant, Mahardika, Agustine, Manchia, Mirko, Marsh, Wendy, Martinez-Cengotitabengoa, Monica, Martiny, Klaus, Mashima, Yuki, McLoughlin, Declan M., Meesters, Ybe, Melle, Ingrid, Meza-Urzúa, Fátima, Ming, Mok Yee, Monteith, Scott, Moorthy, Muthukumaran, Morken, Gunnar, Mosca, Enrica, Mozzhegorov, Anton A., Munoz, Rodrigo, Mythri, Starlin V., Nacef, Fethi, Nadella, Ravi K., Nakanotani, Takako, Nielsen, René Ernst, O‘Donovan, Claire, Omrani, Adel, Osher, Yamima, Ouali, Uta, Pantovic-Stefanovic, Maja, Pariwatcharakul, Pornjira, Petite, Joanne, Pfennig, Andrea, Ruiz, Yolanda Pica, Pilhatsch, Maximilian, Pinna, Marco, Pompili, Maurizio, Porter, Richard, Quiroz, Danilo, Rabelo-da-Ponte, Francisco Diego, Ramesar, Raj, Rasgon, Natalie, Ratta-apha, Woraphat, Ratzenhofer, Michaela, Redahan, Maria, Reddy, M. S., Reif, Andreas, Reininghaus, Eva Z., Richards, Jenny Gringer, Ritter, Philipp, Rybakowski, Janusz K., Sathyaputri, Leela, Scippa, Ângela M., Simhandl, Christian, Severus, Emanuel, Smith, Daniel, Smith, José, Stackhouse, Jr., Paul W., Stein, Dan J., Stilwell, Kellen, Strejilevich, Sergio, Su, Kuan-Pin, Subramaniam, Mythily, Sulaiman, Ahmad Hatim, Suominen, Kirsi, Tanra, Andi J., Tatebayashi, Yoshitaka, Teh, Wen Lin, Tondo, Leonardo, Torrent, Carla, Tuinstra, Daniel, Uchida, Takahito, Vaaler, Arne E., Veeh, Julia, Vieta, Eduard, Viswanath, Biju, Yoldi-Negrete, Maria, Yalcinkaya, Oguz Kaan, Young, Allan H., Zgueb, Yosra, and Whybrow, Peter C.

Published
2021
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30. A New Intervention for Implementation of Pharmacogenetics in Psychiatry: A Description of the PSY-PGx Clinical Study.

Author

Pelgrim, Teuntje A. D., Philipsen, Alexandra, Young, Allan H., Juruena, Mario, Jimenez, Ester, Vieta, Eduard, Jukić, Marin, Van der Eycken, Erik, Heilbronner, Urs, Moldovan, Ramona, Kas, Martien J. H., Jagesar, Raj R., Nöthen, Markus M., Hoffmann, Per, Shomron, Noam, Kilarski, Laura L., van Amelsvoort, Thérèse, Campforts, Bea, and van Westrhenen, Roos

Subjects
ARIPIPRAZOLE, PHARMACOGENOMICS, PSYCHIATRY, PSYCHIATRIC treatment, DRUG therapy, PSYCHOSES, OLANZAPINE
Abstract

(1) Background Pharmacological treatment for psychiatric disorders has shown to only be effective in about one-third of patients, as it is associated with frequent treatment failure, often because of side effects, and a long process of trial-and-error pharmacotherapy until an effective and tolerable treatment is found. This notion emphasizes the urgency for a personalized medicine approach in psychiatry. (2) Methods This prospective patient- and rater-blinded, randomized, controlled study will investigate the effect of dose-adjustment of antidepressants escitalopram and sertraline or antipsychotics risperidone and aripiprazole according to the latest state-of-the-art international dosing recommendations for CYP2C19 and CYP2D6 metabolizer status in patients with mood, anxiety, and psychotic disorders. A total sample of N = 2500 will be recruited at nine sites in seven countries (expected drop-out rate of 30%). Patients will be randomized to a pharmacogenetic group or a dosing-as-usual group and treated over a 24-week period with four study visits. The primary outcome is personal recovery using the Recovery Assessment Scale as assessed by the patient (RAS-DS), with secondary outcomes including clinical effects (response or symptomatic remission), side effects, general well-being, digital phenotyping, and psychosocial functioning. (3) Conclusions This is, to our knowledge, the first international, multi-center, non-industry-sponsored randomized controlled trial (RCT) that may provide insights into the effectiveness and utility of implementing pharmacogenetic-guided treatment of psychiatric disorders, and as such, results will be incorporated in already available dosing guidelines. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Triangulating the evidence for efficacy and effectiveness of antipsychotics by combining randomized clinical trials and real-world data

Author

Taipale, Heidi, Pinzón-Espinosa, Justo, Efthimiou, Orestis, Radua, Joaquim, Schneider-Thoma, Johannes, Ortuño, María, Vinkers, Christiaan, Cardoner, Narcis, Tomlinson, Anneka, Tanskanen, Antti, Mittendorfer-Rutz, Ellenor, Leucht, Stefan, Cipriani, Andrea, Fusar-Poli, Paolo, Vieta, Eduard, Tiihonen, Jari, and Luykx, Jurjen

Subjects
Psychiatry, RealWorld, Efficacy-Effectiveness Gap, Evidence base, Mental and Social Health, Medicine and Health Sciences, Medical Specialties, Antipsychotics, Psychiatry and Psychology, Psychiatric and Mental Health, Public Health, Randomized Controlled Trials
Abstract

The overall aim of this study is to estimate relative effects of antipsychotics for schizophrenia and schizoaffective disorder using evidence on both relative efficacy and real-world effectiveness. Efficacy will be derived from relapse prevention randomized controlled trials (RCTs); real-world (RW) effectiveness will be derived from Finnish and Swedish national registries. Specific aims are to i) compare effect estimates between RCTs and RW; and ii) use results from both RCTs and RW to estimate overall relative effects in a joint analysis of RCT and RW data.

Published
2022
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35. The collaborative outcomes study on health and functioning during infection times in adults (COH-FIT-Adults): Design and methods of an international online survey targeting physical and mental health effects of the COVID-19 pandemic

Author

Solmi, Marco, Estradé, Andrés, Thompson, Trevor, Agorastos, Agorastos, Radua, Joaquim, Cortese, Samuele, Dragioti, Elena, Leisch, Friedrich, Vancampfort, Davy, Thygesen, Lau Caspar, Aschauer, Harald, Schloegelhofer, Monika, Akimova, Elena, Schneeberger, Andres, Huber, Christian, Hasler, Gregor, Conus, Philippe, Cuénod, Kim, von Känel, Roland, Arrondo, Gonzalo, Fusar-Poli, Paolo, Gorwood, Philip, Llorca, Pierre-Michel, Krebs, Marie-Odile, Scanferla, Elisabetta, Kishimoto, Taishiro, Rabbani, Golam, Skonieczna-Żydecka, Karolina, Brambilla, Paolo, Favaro, Angela, Takamiya, Akihiro, Zoccante, Leonardo, Colizzi, Marco, Bourgin, Julie, Kamiński, Karol, Moghadasin, Maryam, Seedat, Soraya, Matthews, Evan, Wells, John, Vassilopoulou, Emilia, Gadelha, Ary, Su, Kuan-Pin, Kwon, Jun Soo, Kim, Minah, Lee, Tae Young, Papsuev, Oleg, Manková, Denisa, Boscutti, Andrea, Gerunda, Cristiano, Saccon, Diego, Righi, Elena, Monaco, Francesco, Croatto, Giovanni, Cereda, Guido, Demurtas, Jacopo, Brondino, Natascia, Veronese, Nicola, Enrico, Paolo, Politi, Pierluigi, Ciappolino, Valentina, Pfennig, Andrea, Bechdolf, Andreas, Meyer-Lindenberg, Andreas, Kahl, Kai, Domschke, Katharina, Bauer, Michael, Koutsouleris, Nikolaos, Winter, Sibylle, Borgwardt, Stefan, Bitter, Istvan, Balazs, Judit, Czobor, Pal, Unoka, Zsolt, Mavridis, Dimitris, Tsamakis, Konstantinos, Bozikas, Vasilios, Tunvirachaisakul, Chavit, Maes, Michael, Rungnirundorn, Teerayuth, Supasitthumrong, Thitiporn, Haque, Ariful, Brunoni, Andre, Costardi, Carlos Gustavo, Schuch, Felipe Barreto, Polanczyk, Guilherme, Luiz, Jhoanne Merlyn, Fonseca, Lais, Aparicio, Luana, Valvassori, Samira, Nordentoft, Merete, Vendsborg, Per, Hoffmann, Sofie Have, Sehli, Jihed, Sartorius, Norman, Heuss, Sabina, Guinart, Daniel, Hamilton, Jane, Kane, John, Rubio, Jose, Sand, Michael, Koyanagi, Ai, Solanes, Aleix, Andreu-Bernabeu, Alvaro, Cáceres, Antonia San José, Arango, Celso, Díaz-Caneja, Covadonga, Hidalgo-Mazzei, Diego, Vieta, Eduard, Gonzalez-Peñas, Javier, Fortea, Lydia, Parellada, Mara, Fullana, Miquel, Verdolini, Norma, Fárková, Eva, Janků, Karolina, Millan, Mark, Honciuc, Mihaela, Moniuszko-Malinowska, Anna, Łoniewski, Igor, Samochowiec, Jerzy, Kiszkiel, Łukasz, Marlicz, Maria, Sowa, Paweł, Marlicz, Wojciech, Spies, Georgina, Stubbs, Brendon, Firth, Joseph, Sullivan, Sarah, Darcin, Asli Enez, Aksu, Hatice, Dilbaz, Nesrin, Noyan, Onur, Kitazawa, Momoko, Kurokawa, Shunya, Tazawa, Yuki, Anselmi, Alejandro, Cracco, Cecilia, Machado, Ana Inés, Estrade, Natalia, de Leo, Diego, Curtis, Jackie, Berk, Michael, Ward, Philip, Teasdale, Scott, Rosenbaum, Simon, Marx, Wolfgang, Horodnic, Adrian Vasile, Oprea, Liviu, Alexinschi, Ovidiu, Ifteni, Petru, Turliuc, Serban, Ciuhodaru, Tudor, Bolos, Alexandra, Matei, Valentin, Nieman, Dorien, Sommer, Iris, van Os, Jim, van Amelsvoort, Therese, Sun, Ching-Fang, Guu, Ta-Wei, Jiao, Can, Zhang, Jieting, Fan, Jialin, Zou, Liye, Yu, Xin, Chi, Xinli, de Timary, Philippe, van Winke, Ruud, Ng, Bernardo, Pena, Edilberto, Arellano, Ramon, Roman, Raquel, Sanchez, Thelma, Movina, Larisa, Morgado, Pedro, Brissos, Sofia, Aizberg, Oleg, Mosina, Anna, Krinitski, Damir, Mugisha, James, Sadeghi-Bahmani, Dena, Sadeghi, Masoud, Hadi, Samira, Brand, Serge, Errazuriz, Antonia, Crossley, Nicolas, Ristic, Dragana Ignjatovic, López-Jaramillo, Carlos, Efthymiou, Dimitris, Kuttichira, Praveenlal, Kallivayalil, Roy Abraham, Javed, Afzal, Afridi, Muhammad Iqbal, James, Bawo, Seb-Akahomen, Omonefe Joy, Fiedorowicz, Jess, Carvalho, Andre, Daskalakis, Jeff, Yatham, Lakshmi, Yang, Lin, Okasha, Tarek, Dahdouh, Aïcha, Gerdle, Björn, Tiihonen, Jari, Shin, Jae Il, Lee, Jinhee, Mhalla, Ahmed, Gaha, Lotfi, Brahim, Takoua, Altynbekov, Kuanysh, Negay, Nikolay, Nurmagambetova, Saltanat, Jamei, Yasser Abu, Weiser, Mark, Correll, Christoph, Thygesen, Lau, Kwon, Jun, Lee, Tae, Costardi, Carlos, Schuch, Felipe, Luiz, Jhoanne, Hoffmann, Sofie, Cáceres, Antonia, Darcin, Asli, Machado, Ana, Horodnic, Adrian, Ristic, Dragana, Kallivayalil, Roy, Afridi, Muhammad, Seb-Akahomen, Omonefe, Shin, Jae, Jamei, Yasser, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, MUMC+: MA Med Staf Spec Psychiatrie (9), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Clinique des maladies mentales et de l'encéphale (CMME - Service de psychiatrie), Hôpital Sainte-Anne-Université Paris Cité (UPCité), GHU Paris Psychiatrie et Neurosciences, Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), CHU Clermont-Ferrand, Pathologies et épithéliums : prévention, innovation, traitements, évaluation (UR 4267) (PEPITE), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Martinez Rico, Clara, Solmi, M., Estradé, A., Thompson, T., Agorastos, A., Radua, J., Cortese, S., Dragioti, E., Leisch, F., Vancampfort, D., Thygesen, L.C., Aschauer, H., Schloegelhofer, M., Akimova, E., Schneeberger, A., Huber, C.G., Hasler, G., Conus, P., Cuénod, K.Q.D., von Känel, R., Arrondo, G., Fusar-Poli, P., Gorwood, P., Llorca, P.-M., Krebs, M.-O., Scanferla, E., Kishimoto, T., Rabbani, G., Skonieczna-Żydecka, K., Brambilla, P., Favaro, A., Takamiya, A., Zoccante, L., Colizzi, M., Bourgin, J., Kamiński, K., Moghadasin, M., Seedat, S., Matthews, E., Wells, J., Vassilopoulou, E., Gadelha, A., Su, K.-P., Kwon, J.S., Kim, M., Lee, T.Y., Papsuev, O., Manková, D., Boscutti, A., Gerunda, C., Saccon, D., Righi, E., Monaco, F., Croatto, G., Cereda, G., Demurtas, J., Brondino, N., Veronese, N., Enrico, P., Politi, P., Ciappolino, V., Pfennig, A., Bechdolf, A., Meyer-Lindenberg, A., Kahl, K.G., Domschke, K., Bauer, M., Koutsouleris, N., Winter, S., Borgwardt, S., Bitter, I., Balazs, J., Czobor, P., Unoka, Z., Mavridis, D., Tsamakis, K., Bozikas, V.P., Tunvirachaisakul, C., Maes, M., Rungnirundorn, T., Supasitthumrong, T., Haque, A., Brunoni, A.R., Costardi, C.G., Schuch, F.B., Polanczyk, G., Luiz, J.M., Fonseca, L., Aparicio, L.V., Valvassori, S.S., Nordentoft, M., Vendsborg, P., Hoffmann, S.H., Sehli, J., Sartorius, N., Heuss, S., Guinart, D., Hamilton, J., Kane, J., Rubio, J., Sand, M., Koyanagi, A., Solanes, A., Andreu-Bernabeu, A., Cáceres, A.S.J., Arango, C., Díaz-Caneja, C.M., Hidalgo-Mazzei, D., Vieta, E., Gonzalez-Peñas, J., Fortea, L., Parellada, M., Fullana, M.A., Verdolini, N., Fárková, E., Janků, K., Millan, M., Honciuc, M., Moniuszko-Malinowska, A., Łoniewski, I., Samochowiec, J., Kiszkiel, Ł., Marlicz, M., Sowa, P., Marlicz, W., Spies, G., Stubbs, B., Firth, J., Sullivan, S., Darcin, A.E., Aksu, H., Dilbaz, N., Noyan, O., Kitazawa, M., Kurokawa, S., Tazawa, Y., Anselmi, A., Cracco, C., Machado, A.I., Estrade, N., De Leo, D., Curtis, J., Berk, M., Ward, P., Teasdale, S., Rosenbaum, S., Marx, W., Horodnic, A.V., Oprea, L., Alexinschi, O., Ifteni, P., Turliuc, S., Ciuhodaru, T., Bolos, A., Matei, V., Nieman, D.H., Sommer, I., van Os, J., van Amelsvoort, T., Sun, C.-F., Guu, T.-W., Jiao, C., Zhang, J., Fan, J., Zou, L., Yu, X., Chi, X., de Timary, P., van Winke, R., Ng, B., Pena, E., Arellano, R., Roman, R., Sanchez, T., Movina, L., Morgado, P., Brissos, S., Aizberg, O., Mosina, A., Krinitski, D., Mugisha, J., Sadeghi-Bahmani, D., Sadeghi, M., Hadi, S., Brand, S., Errazuriz, A., Crossley, N., Ristic, D.I., López-Jaramillo, C., Efthymiou, D., Kuttichira, P., Kallivayalil, R.A., Javed, A., Afridi, M.I., James, B., Seb-Akahomen, O.J., Fiedorowicz, J., Carvalho, A.F., Daskalakis, J., Yatham, L.N., Yang, L., Okasha, T., Dahdouh, A., Gerdle, B., Tiihonen, J., Shin, J.I., Lee, J., Mhalla, A., Gaha, L., Brahim, T., Altynbekov, K., Negay, N., Nurmagambetova, S., Jamei, Y.A., Weiser, M., Correll, C.U., Adult Psychiatry, APH - Mental Health, ANS - Compulsivity, Impulsivity & Attention, and ANS - Mood, Anxiety, Psychosis, Stress & Sleep

Subjects
Gerontology, DISORDER, STRESS, Outcome Assessment, IMPACT, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, RA0421, well-being, Pandemic, Health care, Outcome Assessment, Health Care, adults, Medicine, ANXIETY, COVID-19, mental health, functioning, physical health, representative, resilience, survey, international, psychiatry, depression, anxiety, post-traumatic, COH-FIT, children, adolescents, mental health, functioning, physical health, representative, well-being, resilience, survey, international, psychiatry, depression, anxiety, post-traumatic, COH-FIT, children, adolescents, adult, Child, SCALE, Psychiatry, education.field_of_study, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Public Health, Global Health, Social Medicine and Epidemiology, Psychiatry and Mental health, Clinical Psychology, Professional association, Life Sciences & Biomedicine, Psychopathology, Research Paper, Adult, Coronavirus disease 2019 (COVID-19), Adolescent, Population, Clinical Neurology, BF, Anxiety, Cross-Sectional Studies, Depression, Humans, Mental Health, SARS-CoV-2, Pandemics, Intervention (counseling), MANAGEMENT, VALIDITY, education, Science & Technology, business.industry, MORTALITY, CARE, Mental health, Health Care, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Neurosciences & Neurology, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

BACKGROUND: . High-quality comprehensive data on short-/long-term physical/mental health effects of the COVID-19 pandemic are needed. METHODS: . The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) is an international, multi-language (n=30) project involving >230 investigators from 49 countries/territories/regions, endorsed by national/international professional associations. COH-FIT is a multi-wave, on-line anonymous, cross-sectional survey [wave 1: 04/2020 until the end of the pandemic, 12 months waves 2/3 starting 6/24 months threreafter] for adults, adolescents (14-17), and children (6-13), utilizing non-probability/snowball and representative sampling. COH-FIT aims to identify non-modifiable/modifiable risk factors/treatment targets to inform prevention/intervention programs to improve social/health outcomes in the general population/vulnerable subgrous during/after COVID-19. In adults, co-primary outcomes are change from pre-COVID-19 to intra-COVID-19 in well-being (WHO-5) and a composite psychopathology P-Score. Key secondary outcomes are a P-extended score, global mental and physical health. Secondary outcomes include health-service utilization/functioning, treatment adherence, functioning, symptoms/behaviors/emotions, substance use, violence, among others. RESULTS: . Starting 04/26/2020, up to 14/07/2021 >151,000 people from 155 countries/territories/regions and six continents have participated. Representative samples of ≥1,000 adults have been collected in 15 countries. Overall, 43.0% had prior physical disorders, 16.3% had prior mental disorders, 26.5% were health care workers, 8.2% were aged ≥65 years, 19.3% were exposed to someone infected with COVID-19, 76.1% had been in quarantine, and 2.1% had been COVID 19-positive. LIMITATIONS: . Cross-sectional survey, preponderance of non-representative participants. CONCLUSIONS: . Results from COH-FIT will comprehensively quantify the impact of COVID-19, seeking to identify high-risk groups in need for acute and long-term intervention, and inform evidence-based health policies/strategies during this/future pandemics. ispartof: JOURNAL OF AFFECTIVE DISORDERS vol:299 pages:393-407 ispartof: location:Netherlands status: published

Published
2022
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36. Physical and mental health impact of COVID-19 on children, adolescents, and their families: The Collaborative Outcomes study on Health and Functioning during Infection Times-Children and Adolescents (COH-FIT-C&A)

Author

Solmi, Marco, Estradé, Andrés, Thompson, Trevor, Agorastos, Agorastos, Radua, Joaquim, Cortese, Samuele, Dragioti, Elena, Leisch, Friedrich, Vancampfort, Davy, Thygesen, Lau Caspar, Aschauer, Harald, Schloegelhofer, Monika, Akimova, Elena, Schneeberger, Andres, Huber, Christian, Hasler, Gregor, Conus, Philippe, Cuénod, Kim, von Känel, Roland, Arrondo, Gonzalo, Fusar-Poli, Paolo, Gorwood, Philip, Llorca, Pierre-Michel, Krebs, Marie-Odile, Scanferla, Elisabetta, Kishimoto, Taishiro, Rabbani, Golam, Skonieczna-Żydecka, Karolina, Brambilla, Paolo, Favaro, Angela, Takamiya, Akihiro, Zoccante, Leonardo, Colizzi, Marco, Bourgin, Julie, Kamiński, Karol, Moghadasin, Maryam, Seedat, Soraya, Matthews, Evan, Wells, John, Vassilopoulou, Emilia, Gadelha, Ary, Su, Kuan-Pin, Kwon, Jun Soo, Kim, Minah, Lee, Tae Young, Papsuev, Oleg, Manková, Denisa, Boscutti, Andrea, Gerunda, Cristiano, Saccon, Diego, Righi, Elena, Monaco, Francesco, Croatto, Giovanni, Cereda, Guido, Demurtas, Jacopo, Brondino, Natascia, Veronese, Nicola, Enrico, Paolo, Politi, Pierluigi, Ciappolino, Valentina, Pfennig, Andrea, Bechdolf, Andreas, Meyer-Lindenberg, Andreas, Kahl, Kai, Domschke, Katharina, Bauer, Michael, Koutsouleris, Nikolaos, Winter, Sibylle, Borgwardt, Stefan, Bitter, Istvan, Balazs, Judit, Czobor, Pal, Unoka, Zsolt, Mavridis, Dimitris, Tsamakis, Konstantinos, Bozikas, Vasilios, Tunvirachaisakul, Chavit, Maes, Michael, Rungnirundorn, Teerayuth, Supasitthumrong, Thitiporn, Haque, Ariful, Brunoni, Andre, Costardi, Carlos Gustavo, Schuch, Felipe Barreto, Polanczyk, Guilherme, Luiz, Jhoanne Merlyn, Fonseca, Lais, Aparicio, Luana, Valvassori, Samira, Nordentoft, Merete, Vendsborg, Per, Hoffmann, Sofie Have, Sehli, Jihed, Sartorius, Norman, Heuss, Sabina, Guinart, Daniel, Hamilton, Jane, Kane, John, Rubio, Jose, Sand, Michael, Koyanagi, Ai, Solanes, Aleix, Andreu-Bernabeu, Alvaro, Cáceres, Antonia San José, Arango, Celso, Díaz-Caneja, Covadonga, Hidalgo-Mazzei, Diego, Vieta, Eduard, Gonzalez-Peñas, Javier, Fortea, Lydia, Parellada, Mara, Fullana, Miquel, Verdolini, Norma, Fárková, Eva, Janků, Karolina, Millan, Mark, Honciuc, Mihaela, Moniuszko-Malinowska, Anna, Łoniewski, Igor, Samochowiec, Jerzy, Kiszkiel, Łukasz, Marlicz, Maria, Sowa, Paweł, Marlicz, Wojciech, Spies, Georgina, Stubbs, Brendon, Firth, Joseph, Sullivan, Sarah, Darcin, Asli Enez, Aksu, Hatice, Dilbaz, Nesrin, Noyan, Onur, Kitazawa, Momoko, Kurokawa, Shunya, Tazawa, Yuki, Anselmi, Alejandro, Cracco, Cecilia, Machado, Ana Inés, Estrade, Natalia, de Leo, Diego, Curtis, Jackie, Berk, Michael, Ward, Philip, Teasdale, Scott, Rosenbaum, Simon, Marx, Wolfgang, Horodnic, Adrian Vasile, Oprea, Liviu, Alexinschi, Ovidiu, Ifteni, Petru, Turliuc, Serban, Ciuhodaru, Tudor, Bolos, Alexandra, Matei, Valentin, Nieman, Dorien, Sommer, Iris, van Os, Jim, van Amelsvoort, Therese, Sun, Ching-Fang, Guu, Ta-Wei, Jiao, Can, Zhang, Jieting, Fan, Jialin, Zou, Liye, Yu, Xin, Chi, Xinli, de Timary, Philippe, van Winke, Ruud, Ng, Bernardo, Pena, Edilberto, Arellano, Ramon, Roman, Raquel, Sanchez, Thelma, Movina, Larisa, Morgado, Pedro, Brissos, Sofia, Aizberg, Oleg, Mosina, Anna, Krinitski, Damir, Mugisha, James, Sadeghi-Bahmani, Dena, Sadeghi, Masoud, Hadi, Samira, Brand, Serge, Errazuriz, Antonia, Crossley, Nicolas, Ristic, Dragana Ignjatovic, López-Jaramillo, Carlos, Efthymiou, Dimitris, Kuttichira, Praveenlal, Kallivayalil, Roy Abraham, Javed, Afzal, Afridi, Muhammad Iqbal, James, Bawo, Seb-Akahomen, Omonefe Joy, Fiedorowicz, Jess, Carvalho, Andre, Daskalakis, Jeff, Yatham, Lakshmi, Yang, Lin, Okasha, Tarek, Dahdouh, Aïcha, Gerdle, Björn, Tiihonen, Jari, Shin, Jae Il, Lee, Jinhee, Mhalla, Ahmed, Gaha, Lotfi, Brahim, Takoua, Altynbekov, Kuanysh, Negay, Nikolay, Nurmagambetova, Saltanat, Jamei, Yasser Abu, Weiser, Mark, Correll, Christoph, Thygesen, Lau, Kwon, Jun, Lee, Tae, Costardi, Carlos, Schuch, Felipe, Luiz, Jhoanne, Hoffmann, Sofie, Cáceres, Antonia, Darcin, Asli, Machado, Ana, Horodnic, Adrian, Ristic, Dragana, Kallivayalil, Roy, Afridi, Muhammad, Seb-Akahomen, Omonefe, Shin, Jae, Jamei, Yasser, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, MUMC+: MA Med Staf Spec Psychiatrie (9), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Solmi, M., Estradé, A., Thompson, T., Agorastos, A., Radua, J., Cortese, S., Dragioti, E., Leisch, F., Vancampfort, D., Thygesen, L.C., Aschauer, H., Schloegelhofer, M., Akimova, E., Schneeberger, A., Huber, C.G., Hasler, G., Conus, P., Cuénod, K.Q.D., von Känel, R., Arrondo, G., Fusar-Poli, P., Gorwood, P., Llorca, P.-M., Krebs, M.-O., Scanferla, E., Kishimoto, T., Rabbani, G., Skonieczna-Żydecka, K., Brambilla, P., Favaro, A., Takamiya, A., Zoccante, L., Colizzi, M., Bourgin, J., Kamiński, K., Moghadasin, M., Seedat, S., Matthews, E., Wells, J., Vassilopoulou, E., Gadelha, A., Su, K.-P., Kwon, J.S., Kim, M., Lee, T.Y., Papsuev, O., Manková, D., Boscutti, A., Gerunda, C., Saccon, D., Righi, E., Monaco, F., Croatto, G., Cereda, G., Demurtas, J., Brondino, N., Veronese, N., Enrico, P., Politi, P., Ciappolino, V., Pfennig, A., Bechdolf, A., Meyer-Lindenberg, A., Kahl, K.G., Domschke, K., Bauer, M., Koutsouleris, N., Winter, S., Borgwardt, S., Bitter, I., Balazs, J., Czobor, P., Unoka, Z., Mavridis, D., Tsamakis, K., Bozikas, V.P., Tunvirachaisakul, C., Maes, M., Rungnirundorn, T., Supasitthumrong, T., Haque, A., Brunoni, A.R., Costardi, C.G., Schuch, F.B., Polanczyk, G., Luiz, J.M., Fonseca, L., Aparicio, L.V., Valvassori, S.S., Nordentoft, M., Vendsborg, P., Hoffmann, S.H., Sehli, J., Sartorius, N., Heuss, S., Guinart, D., Hamilton, J., Kane, J., Rubio, J., Sand, M., Koyanagi, A., Solanes, A., Andreu-Bernabeu, A., Cáceres, A.S.J., Arango, C., Díaz-Caneja, C.M., Hidalgo-Mazzei, D., Vieta, E., Gonzalez-Peñas, J., Fortea, L., Parellada, M., Fullana, M.A., Verdolini, N., Fárková, E., Janků, K., Millan, M., Honciuc, M., Moniuszko-Malinowska, A., Łoniewski, I., Samochowiec, J., Kiszkiel, Ł., Marlicz, M., Sowa, P., Marlicz, W., Spies, G., Stubbs, B., Firth, J., Sullivan, S., Darcin, A.E., Aksu, H., Dilbaz, N., Noyan, O., Kitazawa, M., Kurokawa, S., Tazawa, Y., Anselmi, A., Cracco, C., Machado, A.I., Estrade, N., De Leo, D., Curtis, J., Berk, M., Ward, P., Teasdale, S., Rosenbaum, S., Marx, W., Horodnic, A.V., Oprea, L., Alexinschi, O., Ifteni, P., Turliuc, S., Ciuhodaru, T., Bolos, A., Matei, V., Nieman, D.H., Sommer, I., van Os, J., van Amelsvoort, T., Sun, C.-F., Guu, T.-W., Jiao, C., Zhang, J., Fan, J., Zou, L., Yu, X., Chi, X., de Timary, P., van Winke, R., Ng, B., Pena, E., Arellano, R., Roman, R., Sanchez, T., Movina, L., Morgado, P., Brissos, S., Aizberg, O., Mosina, A., Krinitski, D., Mugisha, J., Sadeghi-Bahmani, D., Sadeghi, M., Hadi, S., Brand, S., Errazuriz, A., Crossley, N., Ristic, D.I., López-Jaramillo, C., Efthymiou, D., Kuttichira, P., Kallivayalil, R.A., Javed, A., Afridi, M.I., James, B., Seb-Akahomen, O.J., Fiedorowicz, J., Carvalho, A.F., Daskalakis, J., Yatham, L.N., Yang, L., Okasha, T., Dahdouh, A., Gerdle, B., Tiihonen, J., Shin, J.I., Lee, J., Mhalla, A., Gaha, L., Brahim, T., Altynbekov, K., Negay, N., Nurmagambetova, S., Jamei, Y.A., Weiser, M., Correll, C.U., Adult Psychiatry, APH - Mental Health, ANS - Compulsivity, Impulsivity & Attention, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, Martinez Rico, Clara, Clinique des maladies mentales et de l'encéphale (CMME - Service de psychiatrie), Hôpital Sainte-Anne-Université Paris Cité (UPCité), GHU Paris Psychiatrie et Neurosciences, Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), CHU Clermont-Ferrand, Pathologies et épithéliums : prévention, innovation, traitements, évaluation (UR 4267) (PEPITE), Université de Franche-Comté (UFC), and Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)

Subjects
Gerontology, DISORDER, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Psychological intervention, Physical health, Adolescents, HV, Children, Covid-19, Mental health, Pandemic, Resilience, RA0421, Medicine, Adolescent, Adult, Child, Cross-Sectional Studies, Health Promotion, Humans, Mental Health, Pandemics, Quality of Life, SARS-CoV-2, COVID-19, SCALE, media_common, Psychiatry, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Public Health, Global Health, Social Medicine and Epidemiology, Psychiatry and Mental health, Clinical Psychology, Professional association, Psychological resilience, Life Sciences & Biomedicine, Psychopathology, Covid-19, Pandemic, Mental health, Physical health, Resilience, Children, Adolescents, media_common.quotation_subject, Clinical Neurology, BF, Article, Quality of life (healthcare), Intervention (counseling), VALIDITY, Science & Technology, business.industry, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Neurosciences & Neurology, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

BACKGROUND: The COVID-19 pandemic has altered daily routines and family functioning, led to closing schools, and dramatically limited social interactions worldwide. Measuring its impact on mental health of vulnerable children and adolescents is crucial. METHODS: The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT - www.coh-fit.com) is an on-line anonymous survey, available in 30 languages, involving >230 investigators from 49 countries supported by national/international professional associations. COH-FIT has thee waves (until the pandemic is declared over by the WHO, and 6-18 months plus 24-36 months after its end). In addition to adults, COH-FIT also includes adolescents (age 14-17 years), and children (age 6-13 years), recruited via non-probability/snowball and representative sampling and assessed via self-rating and parental rating. Non-modifiable/modifiable risk factors/treatment targets to inform prevention/intervention programs to promote health and prevent mental and physical illness in children and adolescents will be generated by COH-FIT. Co-primary outcomes are changes in well-being (WHO-5) and a composite psychopathology P-Score. Multiple behavioral, family, coping strategy and service utilization factors are also assessed, including functioning and quality of life. RESULTS: Up to June 2021, over 13,000 children and adolescents from 59 countries have participated in the COH-FIT project, with representative samples from eleven countries. LIMITATIONS: Cross-sectional and anonymous design. CONCLUSIONS: Evidence generated by COH-FIT will provide an international estimate of the COVID-19 effect on children's, adolescents' and families', mental and physical health, well-being, functioning and quality of life, informing the formulation of present and future evidence-based interventions and policies to minimize adverse effects of the present and future pandemics on youth. ispartof: JOURNAL OF AFFECTIVE DISORDERS vol:299 pages:367-376 ispartof: location:Netherlands status: published

Published
2022
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37. Clinical correlates of late-onset versus early-onset bipolar disorder in a global sample of older adults.

Author

Lavin, Paola, Buck, Gabriella, Almeida, Osvaldo P., Su, Chien‐Lin, Eyler, Lisa T., Dols, Annemieke, Blumberg, Hilary P., Forester, Brent P., Forlenza, Orestes V., Gildengers, Ariel, Mulsant, Benoit H., Tsai, Shang‐Ying, Vieta, Eduard, Schouws, Sigfried, Briggs, Farren B. S., Sutherland, Ashley, Sarna, Kaylee, Yala, Joy, Orhan, Melis, and Korten, Nicole

Abstract

Objectives: Late-onset bipolar disorder (LOBD) represents a significant subgroup of bipolar disorder (BD). However, knowledge for this group is mostly extrapolated from small studies in subjects with early/mixed age of illness onset. In this global sample of older adults with BD (OABD: ≥50 years old) we aim to characterize the sociodemographic and clinical presentation of LOBD (≥40 years at BD onset) compared to early-onset BD (EOBD: <40 years at BD onset).Methods: The Global Aging and Geriatric Experiments in Bipolar Disorder consortium provided international data on 437 older age bipolar disorder participants. We compared LOBD versus EOBD on depression, mania, functionality, and physical comorbidities. Exploratory analyses were performed on participants with BD onset ≥50 years old.Results: LOBD (n = 105) did not differ from EOBD (n = 332) on depression, mania, global functioning, nor employment status (p > 0.05). Late-onset bipolar disorder was associated with higher endocrine comorbidities (odds ratio = 1.48, [95%CI = 1.0,12.1], p = 0.03). This difference did not remain significant when subjects with BD onset ≥50 years old were analyzed.Limitations: This study is limited by the retrospective nature of the variable age of onset and the differences in evaluation methods across studies (partially overcame by harmonization processes).Conclusion: The present analysis is in favor of the hypothesis that LOBD might represent a similar clinical phenotype as classic EOBD with respect to core BD symptomatology, functionality, and comorbid physical conditions. Large-scale global collaboration to improve our understanding of BD across the lifespan is needed. [ABSTRACT FROM AUTHOR]

Published
2022
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38. Thirty-day suicidal thoughts and behaviors among hospital workers during the first wave of the Spain COVID-19 outbreak

Author

Mortier, Philippe, Vilagut, Gemma, Ferrer, Montse, Serra, Consol, Molina, Juan D, López-Fresneña, Nieves, Puig, Teresa, Pelayo-Terán, José M, Pijoan, José I, Emparanza, José I, Espuga, Meritxell, Plana, Nieves, González-Pinto, Ana, Ortí-Lucas, Rafael M, de Salázar, Alma M, Rius, Cristina, Aragonès, Enric, Del Cura-González, Isabel, Aragón-Peña, Andrés, Campos, Mireia, Parellada, Mara, Pérez-Zapata, Aurora, Forjaz, Maria João, Sanz, Ferran, Haro, Josep M, Vieta, Eduard, Pérez-Solà, Víctor, Kessler, Ronald C, Bruffaerts, Ronny, Alonso, Jordi, MINDCOVID Working group, Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación (España), Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Government of Catalonia (España), European Regional Development Fund, and Ministerio de Universidades (España)

Subjects
suicidal thoughts and behaviors, Psychology, Clinical, Social Sciences, Suicide, Attempted, Disease Outbreaks, PHYSICIANS, 0302 clinical medicine, Risk Factors, Health care, Prevalence, Psychology, Suicidal thoughts and behaviors, Research Articles, Psychiatry, Hospitals, Psychiatry and Mental health, Clinical Psychology, COVID‐19 outbreak, COVID-19 outbreak, hospital workers, Preparedness, Cohort, Life Sciences & Biomedicine, Anxiety disorder, Research Article, EUROPE, Coronavirus disease 2019 (COVID-19), Hospital workers, Suicidal Ideation, 03 medical and health sciences, COVID‐19, medicine, Humans, IDEATION, Students, METAANALYSIS, Science & Technology, business.industry, SARS-CoV-2, Outbreak, COVID-19, Odds ratio, NATIONWIDE, medicine.disease, 030227 psychiatry, Mood, Spain, RISK-FACTORS, business, 030217 neurology & neurosurgery, Demography
Abstract

Background: Healthcare workers are a key occupational group at risk for suicidal thoughts and behaviors (STB). We investigated the prevalence and correlates of STB among hospital workers during the first wave of the Spain COVID-19 outbreak (March-July 2020). Methods: Data come from the baseline assessment of a cohort of Spanish hospital workers (n = 5450), recruited from 10 hospitals just after the height of the coronavirus disease 2019 (COVID-19) outbreak (May 5-July 23, 2020). Web-based self-report surveys assessed 30-day STB, individual characteristics, and potentially modifiable contextual factors related to hospital workers' work and financial situation. Results: Thirty-day STB prevalence was estimated at 8.4% (4.9% passive ideation only, 3.5% active ideation with or without a plan or attempt). A total of n = 6 professionals attempted suicide in the past 30 days. In adjusted models, 30-day STB remained significantly associated with pre-pandemic lifetime mood (odds ratio [OR] = 2.92) and anxiety disorder (OR = 1.90). Significant modifiable factors included a perceived lack of coordination, communication, personnel, or supervision at work (population-attributable risk proportion [PARP] = 50.5%), and financial stress (PARP = 44.1%). Conclusions and Relevance: Thirty-day STB among hospital workers during the first wave of the Spain COVID-19 outbreak was high. Hospital preparedness for virus outbreaks should be increased, and strong governmental policy response is needed to increase financial security among hospital workers. Fondo de Investigación Sanitaria, Instituto de Salud Carlos III (Ministerio de Ciencia e Innovación) /FEDER, Grant/Award Number: COV20/00711; ISCIII, Grant/Award Number: Sara Borrell, CD18/00049, PFIS, FI18/00012; FPU, Grant/Award Number: FPU15/05728; Generalitat de Catalunya, Grant/Award Number: 2017SGR452 Sí

Published
2021

39. Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders

Author

Andlauer, Till F M, Guzman-Parra, Jose, Orozco Diaz, Guillermo, Freimer, Nelson B, Frisén, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartolomei, Claudia, Pedersen, Marianne Giørtz, Goldstein, Jaqueline, Gordon, Scott D, Gordon-Smith, Katherine, de Diego-Otero, Yolanda, Green, Elaine K, Green, Melissa J, Greenwood, Tiffany A, Grove, Jakob, Guan, Weihua, Parra, José Guzman, Hamshere, Marian L, Hautzinger, Martin, Heilbronner, Urs, Herms, Stefan, Moreno-Küstner, Berta, Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S, Juréus, Anders, Kandaswamy, Radhika, Karlsson, Robert, Kennedy, James L, Auburger, Georg, Kittel-Schneider, Sarah, Knowles, James A, Kogevinas, Manolis, Koller, Anna C, Kupka, Ralph, Lavebratt, Catharina, Lawrence, Jacob, Lawson, William B, Leber, Markus, Lee, Phil H, Degenhardt, Franziska, Levy, Shawn E, Li, Jun Z, Liu, Chunyu, Lucae, Susanne, Maaser, Anna, MacIntyre, Donald J, Mahon, Pamela B, Maier, Wolfgang, Martinsson, Lina, McCarroll, Steve, Heilmann-Heimbach, Stefanie, McGuffin, Peter, McInnis, Melvin G, McKay, James D, Medeiros, Helena, Medland, Sarah E, Meng, Fan, Milani, Lili, Montgomery, Grant W, Morris, Derek W, Mühleisen, Thomas W, Mullins, Niamh, Nguyen, Hoang, Nievergelt, Caroline M, Adolfsson, Annelie Nordin, Nwulia, Evaristus A, O'Donovan, Claire, Loohuis, Loes M Olde, Ori, Anil P S, Oruc, Lilijana, Ösby, Urban, Perlis, Roy H, Perry, Amy, Pfennig, Andrea, Potash, James B, Purcell, Shaun M, Regeer, Eline J, Reif, Andreas, Reinbold, Céline S, Rice, John P, Richards, Alexander L, Frank, Josef, Rivas, Fabio, Rivera, Margarita, Roussos, Panos, Ruderfer, Douglas M, Ryu, Euijung, Sánchez-Mora, Cristina, Schatzberg, Alan F, Scheftner, William A, Schork, Nicholas J, Weickert, Cynthia Shannon, Foo, Jerome C, Shehktman, Tatyana, Shilling, Paul D, Sigurdsson, Engilbert, Slaney, Claire, Smeland, Olav B, Sobell, Janet L, Hansen, Christine Søholm, Spijker, Anne T, Clair, David St, Steffens, Michael, Streit, Fabian, Treutlein, Jens, Strauss, John S, Strohmaier, Jana, Szelinger, Szabolcs, Thompson, Robert C, EThorgeirsson, Thorgeir, Vedde, Helmut, Wang, Weiqing, Watson, Stanley J, Witt, Stephanie H, Weickert, Thomas W, Xi, Simon, Xu, Wei, Young, Allan H, Zandi, Peter, Zhang, Peng, Zollner, Sebastian, Adolfsson, Rolf, Agartz, Ingrid, Cichon, Sven, Alda, Martin, Backlund, Lena, Baune, Bernhard T, Bellivier, Frank, Berrettini, Wade H, Biernacka, Joanna M, Blackwood, Douglas H R, Boehnke, Michael, Børglum, Anders D, Corvin, Aiden, Craddock, Nicholas, Daly, Mark J, Dannlowski, Udo, Esko, Tõnu, Etain, Bruno, Frye, Mark, Fullerton, Janice M, Gershon, Elliot S, Gill, Michael, Goes, Fernando, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Hougaard, David M, Hultman, Christina M, Jones, Ian, Jones, Lisa A, Kahn, René S, Kirov, George, Landén, Mikael, Leboyer, Marion, Mayoral, Fermín, Lewis, Cathryn M, Li, Qingqin S, Lissowska, Jolanta, Martin, Nicholas G, Mayoral, Fermin, McElroy, Susan L, McIntosh, Andrew M, McMahon, Francis J, Melle, Ingrid, Metspalu, Andres, Müller-Myhsok, Bertram, Mitchell, Philip B, Morken, Gunnar, Mors, Ole, Mortensen, Preben Bo, Myers, Richard M, Neale, Benjamin M, Nimgaonkar, Vishwajit, Nordentoft, Merete, Nöthen, Markus M, Forstner, Andreas J, O'Donovan, Michael C, Oedegaard, Ketil J, Owen, Michael J, Paciga, Sara A, Pato, Carlos, Pato, Michele T, Posthuma, Danielle, Ramos-Quiroga, Josep Antoni, Ribasés, Marta, Rietschel, Marcella, Rouleau, Guy A, Schalling, Martin, Schofield, Peter R, Schulze, Thomas G, Serretti, Alessandro, Smoller, Jordan W, Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Sullivan, Patrick F, Turecki, Gustavo, Vaaler, Arne E, Vieta, Eduard, Vincent, John B, Werge, Thomas, Nurnberger, John I, Wray, Naomi R, Florio, Arianna Di, Edenberg, Howard J, Stahl, Eli A, Ophoff, Roel A, Scott, Laura J, Andreassen, Ole A, Kelsoe, John, Sklar, Pamela, Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Breen, Gerome, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Binder, Elisabeth B, Bryois, Julien, Buttenschøn, Henriette N, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R I, Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, McQuillin, Andrew, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Derks, Eske M, Direk, Nese, Dolan, Conor V, Dunn, Erin C, Eley, Thalia C, Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K, Gaspar, Héléna A, Goes, Fernando S, Trubetskoy, Vassily, Hall, Lynsey S, Hansen, Thomas F, Hickie, Ian B, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Howard, David M, Ising, Marcus, Jansen, Rick, Jorgenson, Eric, Kohane, Isaac S, Kraft, Julia, Wang, Yunpeng, Kretzschmar, Warren W, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacKinnon, Dean F, Maier, Robert M, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Mondimore, Francis M, Mostafavi, Sara, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, O'Reilly, Paul F, Oskarsson, Hogni, Painter, Jodie N, González, Maria José, de Leeuw, Christiaan A, Pedersen, Carsten Bøcker, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Quiroz, Jorge A, Qvist, Per, Steinberg, Stacy, Riley, Brien P, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sinnamon, Grant C B, Pavlides, Jennifer M Whitehead, Smit, Johannes H, Smith, Daniel J, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Traylor, Matthew, Uitterlinden, André G, Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M, Viktorin, Alexander, Pers, Tune H, Visscher, Peter M, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Wu, Yang, Xi, Hualin S, Yang, Jian, Holmans, Peter A, Zhang, Futao, Arolt, Volker, Berger, Klaus, Boomsma, Dorret I, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Abbott, Liam, Domschke, Katharina, Grabe, Hans J, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Madden, Pamela A F, Magnusson, Patrik K, Akil, Huda, Pedersen, Nancy L, Penninx, Brenda W J H, Porteous, David J, Preisig, Martin, Albani, Diego, Schaefer, Catherine, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M, Gil Flores, Susana, Alliey-Rodriguez, Ney, Levinson, Douglas F, Als, Thomas D, Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A, Barchas, Jack D, Bass, Nicholas, Bauer, Michael, Cabaleiro Fabeiro, Francisco J, Belliveau, Richard, Bergen, Sarah E, Bøen, Erlend, Boks, Marco, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Del Río Noriega, Francisco, Byerley, William, Casas, Miquel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Charney, Alexander W, Chen, Danfeng, Churchhouse, Claire, Coryell, William, Perez, Fermin Perez, Craig, David W, Cruceanu, Cristiana, Czerski, Piotr M, Dale, Anders M, de Jong, Simone, Del-Favero, Jurgen, Djurovic, Srdjan, Dobbyn, Amanda L, Haro González, Jesus, Dumont, Ashley, Elvsåshagen, Torbjørn, Fan, Chun Chieh, Fischer, Sascha B, Flickinger, Matthew, Foroud, Tatiana M, Forty, Liz, Fraser, Christine, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, Epidemiology and Data Science, APH - Digital Health, Andlauer T.F.M., Guzman-Parra J., Streit F., Strohmaier J., Gonzalez M.J., Gil Flores S., Cabaleiro Fabeiro F.J., del Rio Noriega F., Perez F.P., Haro Gonzalez J., Orozco Diaz G., de Diego-Otero Y., Moreno-Kustner B., Auburger G., Degenhardt F., Heilmann-Heimbach S., Herms S., Hoffmann P., Frank J., Foo J.C., Treutlein J., Witt S.H., Cichon S., Kogevinas M., Stahl E.A., Breen G., Forstner A.J., McQuillin A., Ripke S., Trubetskoy V., Mattheisen M., Wang Y., Coleman J.R.I., Gaspar H.A., de Leeuw C.A., Steinberg S., Pavlides J.M.W., Trzaskowski M., Pers T.H., Holmans P.A., Abbott L., Agerbo E., Akil H., Albani D., Alliey-Rodriguez N., Als T.D., Anjorin A., Antilla V., Awasthi S., Badner J.A., Baekvad-Hansen M., Barchas J.D., Bass N., Bauer M., Belliveau R., Bergen S.E., Pedersen C.B., Boen E., Boks M., Boocock J., Budde M., Bunney W., Burmeister M., Bybjerg-Grauholm J., Byerley W., Casas M., Cerrato F., Cervantes P., Chambert K., Charney A.W., Chen D., Churchhouse C., Clarke T.-K., Coryell W., Craig D.W., Cruceanu C., Czerski P.M., Dale A.M., de Jong S., Del-Favero J., DePaulo J.R., Djurovic S., Dobbyn A.L., Dumont A., Elvsashagen T., Escott-Price V., Fan C.C., Fischer S.B., Flickinger M., Foroud T.M., Forty L., Fraser C., Freimer N.B., Frisen L., Gade K., Gage D., Garnham J., Giambartolomei C., Pedersen M.G., Goldstein J., Gordon S.D., Gordon-Smith K., Green E.K., Green M.J., Greenwood T.A., Grove J., Guan W., Parra J.G., Hamshere M.L., Hautzinger M., Heilbronner U., Hipolito M., Holland D., Huckins L., Jamain S., Johnson J.S., Jureus A., Kandaswamy R., Karlsson R., Kennedy J.L., Kittel-Schneider S., Knowles J.A., Koller A.C., Kupka R., Lavebratt C., Lawrence J., Lawson W.B., Leber M., Lee P.H., Levy S.E., Li J.Z., Liu C., Lucae S., Maaser A., MacIntyre D.J., Mahon P.B., Maier W., Martinsson L., McCarroll S., McGuffin P., McInnis M.G., McKay J.D., Medeiros H., Medland S.E., Meng F., Milani L., Montgomery G.W., Morris D.W., Muhleisen T.W., Mullins N., Nguyen H., Nievergelt C.M., Adolfsson A.N., Nwulia E.A., O'Donovan C., Loohuis L.M.O., Ori A.P.S., Oruc L., Osby U., Perlis R.H., Perry A., Pfennig A., Potash J.B., Purcell S.M., Regeer E.J., Reif A., Reinbold C.S., Rice J.P., Richards A.L., Rivas F., Rivera M., Roussos P., Ruderfer D.M., Ryu E., Sanchez-Mora C., Schatzberg A.F., Scheftner W.A., Schork N.J., Weickert C.S., Shehktman T., Shilling P.D., Sigurdsson E., Slaney C., Smeland O.B., Sobell J.L., Hansen C.S., Spijker A.T., Clair D.S., Steffens M., Strauss J.S., Szelinger S., Thompson R.C., EThorgeirsson T., Vedde H., Wang W., Watson S.J., Weickert T.W., Xi S., Xu W., Young A.H., Zandi P., Zhang P., Zollner S., Adolfsson R., Agartz I., Alda M., Backlund L., Baune B.T., Bellivier F., Berrettini W.H., Biernacka J.M., Blackwood D.H.R., Boehnke M., Borglum A.D., Corvin A., Craddock N., Daly M.J., Dannlowski U., Esko T., Etain B., Frye M., Fullerton J.M., Gershon E.S., Gill M., Goes F., Grigoroiu-Serbanescu M., Hauser J., Hougaard D.M., Hultman C.M., Jones I., Jones L.A., Kahn R.S., Kirov G., Landen M., Leboyer M., Lewis C.M., Li Q.S., Lissowska J., Martin N.G., Mayoral F., McElroy S.L., McIntosh A.M., McMahon F.J., Melle I., Metspalu A., Mitchell P.B., Morken G., Mors O., Mortensen P.B., Muller-Myhsok B., Myers R.M., Neale B.M., Nimgaonkar V., Nordentoft M., Nothen M.M., O'Donovan M.C., Oedegaard K.J., Owen M.J., Paciga S.A., Pato C., Pato M.T., Posthuma D., Ramos-Quiroga J.A., Ribases M., Rietschel M., Rouleau G.A., Schalling M., Schofield P.R., Schulze T.G., Serretti A., Smoller J.W., Stefansson H., Stefansson K., Stordal E., Sullivan P.F., Turecki G., Vaaler A.E., Vieta E., Vincent J.B., Werge T., Nurnberger J.I., Wray N.R., Florio A.D., Edenberg H.J., Ophoff R.A., Scott L.J., Andreassen O.A., Kelsoe J., Sklar P., Byrne E.M., Abdellaoui A., Adams M.J., Air T.M., Bacanu S.-A., Beekman A.T.F., Bigdeli T.B., Binder E.B., Bryois J., Buttenschon H.N., Cai N., Castelao E., Christensen J.H., Colodro-Conde L., Couvy-Duchesne B., Crawford G.E., Davies G., Deary I.J., Derks E.M., Direk N., Dolan C.V., Dunn E.C., Eley T.C., Kiadeh F.F.H., Finucane H.K., Goes F.S., Hall L.S., Hansen T.F., Hickie I.B., Homuth G., Horn C., Hottenga J.-J., Howard D.M., Ising M., Jansen R., Jorgenson E., Kohane I.S., Hill, Kraft J., Kretzschmar W.W., Kutalik Z., Li Y., Lind P.A., MacKinnon D.F., Maier R.M., Marchini J., Mbarek H., McGrath P., Mehta D., Middeldorp C.M., Mihailov E., Milaneschi Y., Mondimore F.M., Mostafavi S., Nauck M., Ng B., Nivard M.G., Nyholt D.R., O'Reilly P.F., Oskarsson H., Painter J.N., Peterson R.E., Pettersson E., Peyrot W.J., Pistis G., Quiroz J.A., Qvist P., Riley B.P., Mirza S.S., Schoevers R., Schulte E.C., Shen L., Shi J., Shyn S.I., Sinnamon G.C.B., Smit J.H., Smith D.J., Tansey K.E., Teismann H., Teumer A., Thompson W., Thomson P.A., Thorgeirsson T.E., Traylor M., Uitterlinden A.G., Umbricht D., Van der Auwera S., van Hemert A.M., Viktorin A., Visscher P.M., Webb B.T., Weinsheimer S.M., Wellmann J., Willemsen G., Wu Y., Xi H.S., Yang J., Zhang F., Arolt V., Berger K., Boomsma D.I., de Geus E.J.C., Domenici E., Domschke K., Grabe H.J., Hamilton S.P., Hayward C., Heath A.C., Kendler K.S., Kloiber S., Lewis G., Madden P.A.F., Magnusson P.K., Pedersen N.L., Penninx B.W.J.H., Porteous D.J., Preisig M., Schaefer C., Tiemeier H., Uher R., Volzke H., Weissman M.M., Levinson D.F., Child and Adolescent Psychiatry / Psychology, Epidemiology, Internal Medicine, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, APH - Methodology, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, and Adult Psychiatry

Subjects
Netherlands Twin Register (NTR), Genetic variants, Bipolar Disorder, Specific risk, Disease, 0302 clinical medicine, Multiplex, Genetic risk, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Depression (differential diagnoses), 0303 health sciences, Depression, ddc, 3. Good health, Geðraskanir, Psychiatry and Mental health, Schizophrenia, Cohort, Major depressive disorder, Case-Control Studie, Human, medicine.medical_specialty, Bipolar disorder, Article, Cellular and Molecular Neuroscience, 03 medical and health sciences, Geðklofi, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, ddc:610, Psychiatry, Þunglyndi, Molecular Biology, 030304 developmental biology, Depressive Disorder, Major, Geðhvarfasýki, business.industry, Psychiatric disorder, medicine.disease, Genarannsóknir, Case-Control Studies, Multiple comparisons problem, business, 030217 neurology & neurosurgery
Abstract

Publisher's version, Multiplex families with a high prevalence of a psychiatric disorder are often examined to identify rare genetic variants with large effect sizes. In the present study, we analysed whether the risk for bipolar disorder (BD) in BD multiplex families is influenced by common genetic variants. Furthermore, we investigated whether this risk is conferred mainly by BD-specific risk variants or by variants also associated with the susceptibility to schizophrenia or major depression. In total, 395 individuals from 33 Andalusian BD multiplex families (166 BD, 78 major depressive disorder, 151 unaffected) as well as 438 subjects from an independent, BD case/control cohort (161 unrelated BD, 277 unrelated controls) were analysed. Polygenic risk scores (PRS) for BD, schizophrenia (SCZ), and major depression were calculated and compared between the cohorts. Both the familial BD cases and unaffected family members had higher PRS for all three psychiatric disorders than the independent controls, with BD and SCZ being significant after correction for multiple testing, suggesting a high baseline risk for several psychiatric disorders in the families. Moreover, familial BD cases showed significantly higher BD PRS than unaffected family members and unrelated BD cases. A plausible hypothesis is that, in multiplex families with a general increase in risk for psychiatric disease, BD development is attributable to a high burden of common variants that confer a specific risk for BD. The present analyses demonstrated that common genetic risk variants for psychiatric disorders are likely to contribute to the high incidence of affective psychiatric disorders in the multiplex families. However, the PRS explained only part of the observed phenotypic variance, and rare variants might have also contributed to disease development., The study was supported by the German Federal Ministry of Education and Research (BMBF), through the Integrated Network IntegraMent, under the auspices of the e:Med programme (grants 01ZX1314A to MMN and SC; 01ZX1314G to MR; 01ZX1614J to BMM) through grants 01EE1406C to MR and 01EE1409C to MR and SHW, and through ERA-NET NEURON, “SynSchiz—Linking synaptic dysfunction to disease mechanisms in schizophrenia—a multilevel investigation” (01EW1810 to MR) and BMBF grants 01EE1409C and 01EE1406C to MR and SHW; by the German Research Foundation (DFG grants FOR2107; RI908/11-2 to MR; NO246/10-2 to MMN; MU1315/8-2 to BMM; WI 3439/3-2 to SHW), by the Andalusian regional Health and Innovation Government (grants PI-0060-2017, RC-0006-2015 the Nicolas Monarde Programme for YDO and CTS-546) and by the Swiss National Science Foundation (SNSF grant 156791 to SC). MMN is a member of the DFG-funded cluster of excellence ImmunoSensation. The PGC has received major funding from the US National Institute of Mental Health and the US National Institute of Drug Abuse (U01 MH109528 and U01 MH1095320). We thank the research participants and employees of 23andMe, Inc. for their contribution to the MDD meta-analysis published in [14]. We thank the International Genomics of Alzheimer's Project (IGAP) for providing summary results data for the present analyses. See the Supplementary Data for extended Acknowledgements.

Published
2021
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40. Characterisation of age and polarity at onset in bipolar disorder

Author

Kalman, Janos, Olde Loohuis, Loes, Vreeker, Annabel, Mcquillin, Andrew, Stahl, Eli, Ruderfer, Douglas, Grigoroiu-Serbanescu, Maria, Panagiotaropoulou, Georgia, Ripke, Stephan, Bigdeli, Tim, Stein, Frederike, Meller, Tina, Meinert, Susanne, Pelin, Helena, Streit, Fabian, Papiol, Sergi, Adams, Mark, Adolfsson, Rolf, Adorjan, Kristina, Agartz, Ingrid, Aminoff, Sofie, Anderson-Schmidt, Heike, Andreassen, Ole, Ardau, Raffaella, Aubry, Jean-Michel, Balaban, Ceylan, Bass, Nicholas, Baune, Bernhard, Bellivier, Frank, Benabarre, Antoni, Bengesser, Susanne, Berrettini, Wade, Boks, Marco, Bromet, Evelyn, Brosch, Katharina, Budde, Monika, Byerley, William, Cervantes, Pablo, Chillotti, Catina, Cichon, Sven, Clark, Scott, Comes, Ashley, Corvin, Aiden, Coryell, William, Craddock, Nick, Craig, David, Croarkin, Paul, Cruceanu, Cristiana, Czerski, Piotr, Dalkner, Nina, Dannlowski, Udo, Degenhardt, Franziska, del Zompo, Maria, Depaulo, J Raymond, Djurovic, Srdjan, Edenberg, Howard, Eissa, Mariam Al, Elvsåshagen, Torbjørn, Etain, Bruno, Fanous, Ayman, Fellendorf, Frederike, Fiorentino, Alessia, Forstner, Andreas, Frye, Mark, Fullerton, Janice, Gade, Katrin, Garnham, Julie, Gershon, Elliot, Gill, Michael, Goes, Fernando, Gordon-Smith, Katherine, Grof, Paul, Guzman-Parra, Jose, Hahn, Tim, Hasler, Roland, Heilbronner, Maria, Heilbronner, Urs, Jamain, Stephane, Jimenez, Esther, Jones, Ian, Jones, Lisa, Jonsson, Lina, Kahn, Rene, Kelsoe, John, Kennedy, James, Kircher, Tilo, Kirov, George, Kittel-Schneider, Sarah, Klöhn-Saghatolislam, Farah, Knowles, James, Kranz, Thorsten, Lagerberg, Trine Vik, Landen, Mikael, Lawson, William, Leboyer, Marion, Li, Qingqin, Maj, Mario, Malaspina, Dolores, Manchia, Mirko, Mayoral, Fermin, Mcelroy, Susan, Mcinnis, Melvin, McIntosh, Andrew, Medeiros, Helena, Melle, Ingrid, Milanova, Vihra, Mitchell, Philip, Monteleone, Palmiero, Monteleone, Alessio Maria, Nöthen, Markus, Novak, Tomas, Nurnberger, John, O'Brien, Niamh, O'Connell, Kevin, O'Donovan, Claire, O'Donovan, Michael, Opel, Nils, Ortiz, Abigail, Owen, Michael, Pålsson, Erik, Pato, Carlos, Pato, Michele, Pawlak, Joanna, Pfarr, Julia-Katharina, Pisanu, Claudia, Potash, James, Rapaport, Mark, Reich-Erkelenz, Daniela, Reif, Andreas, Reininghaus, Eva, Repple, Jonathan, Richard-Lepouriel, Hélène, Rietschel, Marcella, Ringwald, Kai, Roberts, Gloria, Rouleau, Guy, Schaupp, Sabrina, Scheftner, William, Schmitt, Simon, Schofield, Peter, Schubert, K Oliver, Schulte, Eva, Schweizer, Barbara, Senner, Fanny, Severino, Giovanni, Sharp, Sally, Slaney, Claire, Smeland, Olav, Sobell, Janet, Squassina, Alessio, Stopkova, Pavla, Strauss, John, Tortorella, Alfonso, Turecki, Gustavo, Twarowska-Hauser, Joanna, Veldic, Marin, Vieta, Eduard, Vincent, John, Xu, Wei, Zai, Clement, Zandi, Peter, Di Florio, Arianna, Smoller, Jordan, Biernacka, Joanna, Mcmahon, Francis, Alda, Martin, Müller-Myhsok, Bertram, Koutsouleris, Nikolaos, Falkai, Peter, Freimer, Nelson, Andlauer, Till, Schulze, Thomas, Ophoff, Roel, Depaulo, J. Raymond, Schubert, K. Oliver, Andlauer, Till F.M., Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), IMRB - 'Neuropsychiatrie translationnelle' [Créteil] (U955 Inserm - UPEC), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Etain, Bruno, Child and Adolescent Psychiatry / Psychology, Psychiatry, Kalman, J. L., Loohuis, L. M. O., Vreeker, A., Mcquillin, A., Stahl, E. A., Ruderfer, D., Grigoroiu-Serbanescu, M., Panagiotaropoulou, G., Ripke, S., Bigdeli, T. B., Stein, F., Meller, T., Meinert, S., Pelin, H., Streit, F., Papiol, S., Adams, M. J., Adolfsson, R., Adorjan, K., Agartz, I., Aminoff, S. R., Anderson-Schmidt, H., Andreassen, O. A., Ardau, R., Aubry, J. -M., Balaban, C., Bass, N., Baune, B. T., Bellivier, F., Benabarre, A., Bengesser, S., Berrettini, W. H., Boks, M. P., Bromet, E. J., Brosch, K., Budde, M., Byerley, W., Cervantes, P., Chillotti, C., Cichon, S., Clark, S. R., Comes, A. L., Corvin, A., Coryell, W., Craddock, N., Craig, D. W., Croarkin, P. E., Cruceanu, C., Czerski, P. M., Dalkner, N., Dannlowski, U., Degenhardt, F., Del Zompo, M., Depaulo, J. R., Djurovic, S., Edenberg, H. J., Al Eissa, M., Elvsashagen, T., Etain, B., Fanous, A. H., Fellendorf, F., Fiorentino, A., Forstner, A. J., Frye, M. A., Fullerton, J. M., Gade, K., Garnham, J., Gershon, E., Gill, M., Goes, F. S., Gordon-Smith, K., Grof, P., Guzman-Parra, J., Hahn, T., Hasler, R., Heilbronner, M., Heilbronner, U., Jamain, S., Jimenez, E., Jones, I., Jones, L., Jonsson, L., Kahn, R. S., Kelsoe, J. R., Kennedy, J. L., Kircher, T., Kirov, G., Kittel-Schneider, S., Klohn-Saghatolislam, F., Knowles, J. A., Kranz, T. M., Lagerberg, T. V., Landen, M., Lawson, W. B., Leboyer, M., Li, Q. S., Maj, M., Malaspina, D., Manchia, M., Mayoral, F., Mcelroy, S. L., Mcinnis, M. G., Mcintosh, A. M., Medeiros, H., Melle, I., Milanova, V., Mitchell, P. B., Monteleone, P., Monteleone, A. M., Nothen, M. M., Novak, T., Nurnberger, J. I., O'Brien, N., O'Connell, K. S., O'Donovan, C., O'Donovan, M. C., Opel, N., Ortiz, A., Owen, M. J., Palsson, E., Pato, C., Pato, M. T., Pawlak, J., Pfarr, J. -K., Pisanu, C., Potash, J. B., Rapaport, M. H., Reich-Erkelenz, D., Reif, A., Reininghaus, E., Repple, J., Richard-Lepouriel, H., Rietschel, M., Ringwald, K., Roberts, G., Rouleau, G., Schaupp, S., Scheftner, W. A., Schmitt, S., Schofield, P. R., Schubert, K. O., Schulte, E. C., Schweizer, B., Senner, F., Severino, G., Sharp, S., Slaney, C., Smeland, O. B., Sobell, J. L., Squassina, A., Stopkova, P., Strauss, J., Tortorella, A., Turecki, G., Twarowska-Hauser, J., Veldic, M., Vieta, E., Vincent, J. B., Xu, W., Zai, C. C., Zandi, P. P., Di Florio, A., Smoller, J. W., Biernacka, J. M., Mcmahon, F. J., Alda, M., Muller-Myhsok, B., Koutsouleris, N., Falkai, P., Freimer, N. B., Andlauer, T. F. M., Schulze, T. G., and Ophoff, R. A.

Subjects
Paper, Multifactorial Inheritance, medicine.medical_specialty, Autism Spectrum Disorder, Bipolar disorder, MESH: Age of Onset, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Medizin, GWAS, age at onset, polarity at onset, polygenic score, MESH: Depressive Disorder, Major, BF, Genome-wide association study, Disease, Psykiatri, SDG 3 - Good Health and Well-being, ddc:150, Polarity at onset, Internal medicine, MESH: Bipolar Disorder, Polygenic score, medicine, Humans, Academic Psychiatry, Age of Onset, Genetic association, Psychiatry, MESH: Autism Spectrum Disorder, Depressive Disorder, Major, MESH: Humans, business.industry, Age at onset, Heritability, medicine.disease, Genetic architecture, ddc, Psychiatry and Mental health, Schizophrenia, Autism spectrum disorder, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, MESH: Genome-Wide Association Study, RC0321, MESH: Multifactorial Inheritance, business, Genome-Wide Association Study
Abstract

BackgroundStudying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.AimsTo examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.MethodGenome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.ResultsEarlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = −0.34 years, s.e. = 0.08), major depression (β = −0.34 years, s.e. = 0.08), schizophrenia (β = −0.39 years, s.e. = 0.08), and educational attainment (β = −0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.ConclusionsAAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.

Published
2021
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41. Impact of previous tobacco use with or without cannabis on first psychotic experiences in patients with first-episode psychosis

Author

González-Blanco, Leticia, García-Portilla, María Paz, Gutiérrez, Miguel, Mezquida, Gisela, Cuesta, Manuel J., Urbiola, Elena, Amoretti, Silvia, Barcones, Fe, González-Pinto, Ana, Pina-Camacho, Laura, Corripio, Iluminada, Vieta, Eduard, Baeza, Inmaculada, Toll, Alba, Sáiz, Pilar A., Bobes, Julio, Bernardo, Miguel, Bioque, Miquel, Sagué, M., Alonso-Solís, Anna, Grasa, Eva, González-Ortega, I., Zorrilla, I., Santabárbara, J., De-la-Cámara, C., Aguilar, E.J., Nacher, J., Bergé Baquero, Daniel, Mané, Anna, Montejo, L., Anmella, Gerard, Castro-Fornieles, Josefina, de la Serna, Elena, Contreras, F., Sáiz-Masvidal, C., García-Álvarez, L., Bobes-Bascarán, T., Zabala-Rabadán, A., Segarra-Echevarría, R., Sanchez-Pastor, L., Rodriguez-Jimenez, R., Usall, J., Butjosa, A., Sarró, S., Guerrero-Pedraza, A., Ibáñez, Ángela, Ribeiro, M., Balanzá-Martínez, Vicent, and Universitat Autònoma de Barcelona

Subjects
medicine.medical_specialty, Tobacco use, Prodromal symptoms, European Regional Development Fund, First psychotic symptoms, Substance use, Tobacco Use, Political science, First episode psychosis, Health care, medicine, Humans, media_common.cataloged_instance, In patient, European union, Psychiatry, Biological Psychiatry, Cannabis, Retrospective Studies, media_common, biology, business.industry, biology.organism_classification, Psychiatry and Mental health, Psychotic Disorders, Schizophrenia, Christian ministry, business
Abstract

OBJECTIVE: There is high prevalence of cigarette smoking in individuals with first-episode psychosis (FEP) prior to psychosis onset. The purpose of the study was to determine the impact of previous tobacco use with or without cannabis on first psychotic experiences in FEP and the impact of this use on age of onset of symptoms, including prodromes. METHODS: Retrospective analyses from the naturalistic, longitudinal, multicentre, "Phenotype-Genotype and Environmental Interaction. Application of a Predictive Model in First Psychotic Episodes (PEPs)" Study. The authors analysed sociodemographic/clinical data of 284 FEP patients and 231 matched healthy controls, and evaluated first psychotic experiences of patients using the Symptom Onset in Schizophrenia Inventory. RESULTS: FEP patients had significantly higher prevalence of tobacco, cannabis, and cocaine use than controls. The FEP group with tobacco use only prior to onset (N=56) had more sleep disturbances (42.9% vs 18.8%, P=0.003) and lower prevalence of negative symptoms, specifically social withdrawal (33.9% vs 58%, P=0.007) than FEP with no substance use (N=70), as well as lower prevalence of ideas of reference (80.4% vs 92.4%, P=0.015), perceptual abnormalities (46.4% vs 67.4%, P=0.006), hallucinations (55.4% vs 71.5%, P=0.029), and disorganised thinking (41.1% vs 61.1%, P=0.010) than FEP group with previous tobacco and cannabis use (N=144). FEP patients with cannabis and tobacco use had lower age at first prodromal or psychotic symptom (mean=23.73years [SD=5.09]) versus those with tobacco use only (mean=26.21 [SD=4.80]) (P=0.011). CONCLUSIONS: The use of tobacco alone was not related to earlier age of onset of a first psychotic experience, but the clinical profile of FEP patients is different depending on previous tobacco use with or without cannabis. This study received economic support from the Spanish Ministry of Economic Affairs and Competitiveness, the Carlos III Health Care Insti-tute (Grant Number PI11/00325, PI14/00612), the European Regional Development Fund, the European Union, “Una manera de hacer Europa/ A Way of Shaping Europe”, and CIBERSAM.

Published
2021

42. Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders

Author

Committee, Writing, Disorder, Autism Spectrum, French, Leon, Grevet, Eugenio H, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Gruner, Patricia, Guerrero-Pedraza, Amalia, Gur, Raquel E, Gur, Ruben C, Haar, Shlomi, Haarman, Bartholomeus C M, Thomopoulos, Sophia I, Haavik, Jan, Hahn, Tim, Hajek, Tomas, Harrison, Benjamin J, Harrison, Neil A, Hartman, Catharina A, Whalley, Heather C, Heslenfeld, Dirk J, Hibar, Derrek P, Hilland, Eva, Pozzi, Elena, Hirano, Yoshiyuki, Ho, Tiffany C, Hoekstra, Pieter J, Hoekstra, Liesbeth, Hohmann, Sarah, Hong, L. E., Höschl, Cyril, Høvik, Marie F, Howells, Fleur M, Nenadic, Igor, Abe, Yoshinari, Jalbrzikowski, Maria, James, Anthony C, Janssen, Joost, Jaspers-Fayer, Fern, Xu, Jian, Jonassen, Rune, Karkashadze, Georgii, King, Joseph A, Kircher, Tilo, Kirschner, Matthias, Abé, Christoph, Koch, Kathrin, Kochunov, Peter, Kohls, Gregor, Konrad, Kerstin, Krämer, Bernd, Krug, Axel, Kuntsi, Jonna, Kwon, Jun Soo, Landén, Mikael, Landrø, Nils I, Anticevic, Alan, Lazaro, Luisa, Lebedeva, Irina S, Leehr, Elisabeth J, Lera-Miguel, Sara, Lesch, Klaus-Peter, Lochner, Christine, Louza, Mario R, Luna, Beatriz, Lundervold, Astri J, MacMaster, Frank P, Alda, Martin, Maglanoc, Luigi A, Malpas, Charles B, Portella, Maria J, Marsh, Rachel, Martyn, Fiona M, Mataix-Cols, David, Mathalon, Daniel H, McCarthy, Hazel, McDonald, Colm, McPhilemy, Genevieve, Aleman, Andre, Meinert, Susanne, Menchón, José M, Minuzzi, Luciano, Mitchell, Philip B, Moreno, Carmen, Morgado, Pedro, Muratori, Filippo, Murphy, Clodagh M, Murphy, Declan, Mwangi, Benson, Alloza, Clara, Nabulsi, Leila, Nakagawa, Akiko, Nakamae, Takashi, Namazova, Leyla, Narayanaswamy, Janardhanan, Jahanshad, Neda, Nguyen, Danai D, Nicolau, Rosa, O'Gorman Tuura, Ruth L, O'Hearn, Kirsten, Alonso-Lana, Silvia, Oosterlaan, Jaap, Opel, Nils, Ophoff, Roel A, Oranje, Bob, García de la Foz, Victor Ortiz, Overs, Bronwyn J, Paloyelis, Yannis, Pantelis, Christos, Parellada, Mara, Pauli, Paul, Disorder, Bipolar, Ameis, Stephanie H, Picó-Pérez, Maria, Picon, Felipe A, Piras, Fabrizio, Piras, Federica, Plessen, Kerstin J, Pomarol-Clotet, Edith, Preda, Adrian, Puig, Olga, Quidé, Yann, Radua, Joaquim, Anagnostou, Evdokia, Ramos-Quiroga, J Antoni, Rasser, Paul E, Rauer, Lisa, Reddy, Janardhan, Redlich, Ronny, Reif, Andreas, Reneman, Liesbeth, Repple, Jonathan, Retico, Alessandra, Richarte, Vanesa, McIntosh, Andrew A, Richter, Anja, Rosa, Pedro G P, Rubia, Katya K, Hashimoto, Ryota, Sacchet, Matthew D, Salvador, Raymond, Santonja, Javier, Sarink, Kelvin, Sarró, Salvador, Satterthwaite, Theodore D, Arango, Celso, Sawa, Akira, Schall, Ulrich, Schofield, Peter R, Schrantee, Anouk, Seitz, Jochen, Serpa, Mauricio H, Setién-Suero, Esther, Shaw, Philip, Shook, Devon, Silk, Tim J, Arnold, Paul D, Sim, Kang, Simon, Schmitt, Simpson, Helen Blair, Singh, Aditya, Skoch, Antonin, Skokauskas, Norbert, Soares, Jair C, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Asherson, Philip, Spaniel, Filip, Lawrie, Stephen M, Stern, Emily R, Stewart, S Evelyn, Takayanagi, Yoichiro, Temmingh, Henk S, Tolin, David F, Tomecek, David, Tordesillas-Gutiérrez, Diana, Tosetti, Michela, Assogna, Francesca, Uhlmann, Anne, van Amelsvoort, Therese, van der Wee, Nic J A, van der Werff, Steven J A, van Haren, Neeltje E M, van Wingen, Guido A, Vance, Alasdair, Vázquez-Bourgon, Javier, Vecchio, Daniela, Venkatasubramanian, Ganesan, Auzias, Guillaume, Vieta, Eduard, Vilarroya, Oscar, Vives-Gilabert, Yolanda, Voineskos, Aristotle N, Völzke, Henry, von Polier, Georg G, Walton, Esther, Weickert, Thomas W, Weickert, Cynthia Shannon, Weideman, Andrea S, Ayesa-Arriola, Rosa, Wittfeld, Katharina, Wolf, Daniel H, Wu, Mon-Ju, Yang, T. T., Yang, Sikun, Yoncheva, Yuliya, Yun, Je-Yeon, Cheng, Yuqi, Zanetti, Marcus V, Ziegler, Georg C, Bakker, Geor, Franke, Barbara, Hoogman, Martine, Buitelaar, Jan K, van Rooij, Daan, Andreassen, Ole A, Ching, Christopher R K, Veltman, Dick J, Schmaal, Lianne, Stein, Dan J, van den Heuvel, Odile A, Disorder, Major Depressive, Banaj, Nerisa, Turner, Jessica A, van Erp, Theo G M, Pausova, Zdenka, Thompson, Paul M, Paus, Tomáš, Attention-Deficit/Hyperactivity Disorder, Banaschewski, Tobias, Bandeira, Cibele E, Baranov, Alexandr, Bargalló, Núria, Bau, Claiton H D, Baumeister, Sarah, Baune, Bernhard T, Bellgrove, Mark A, Benedetti, Francesco, Disorder, Obsessive-Compulsive, Bertolino, Alessandro, Boedhoe, Premika S W, Boks, Marco, Bollettini, Irene, Del Mar Bonnin, Caterina, Borgers, Tiana, Borgwardt, Stefan, Brandeis, Daniel, Brennan, Brian P, Bruggemann, Jason M, Groups, Schizophrenia ENIGMA Working, Bülow, Robin, Busatto, Geraldo F, Calderoni, Sara, Calhoun, Vince D, Calvo, Rosa, Canales-Rodríguez, Erick J, Cannon, Dara M, Carr, Vaughan J, Cascella, Nicola, Cercignani, Mara, Patel, Yash, Chaim-Avancini, Tiffany M, Christakou, Anastasia, Coghill, David, Conzelmann, Annette, Crespo-Facorro, Benedicto, Cubillo, Ana I, Cullen, Kathryn R, Cupertino, Renata B, Daly, Eileen, Dannlowski, Udo, Parker, Nadine, Davey, Christopher G, Denys, Damiaan, Deruelle, Christine, Di Giorgio, Annabella, Dickie, Erin W, Dima, Danai, Dohm, Katharina, Ehrlich, Stefan, Ely, Benjamin A, Erwin-Grabner, Tracy, Shin, Jean, Ethofer, Thomas, Fair, Damien A, Fallgatter, Andreas, Faraone, Stephen V, Fatjó-Vilas, Mar, Fedor, Jennifer M, Fitzgerald, Kate D, Ford, Judith M, Frodl, Thomas, Fu, Cynthia H Y, Howard, Derek, Fullerton, Janice M, Gabel, Matt C, Glahn, David C, Roberts, Gloria, Gogberashvili, Tinatin, Goikolea, Jose M, Gotlib, Ian H, Goya-Maldonado, Roberto, Grabe, Hans, Green, Melissa J, Patel, Y., Parker, N., Shin, J., Howard, D., French, L., Thomopoulos, S. I., Pozzi, E., Abe, Y., Abe, C., Anticevic, A., Alda, M., Aleman, A., Alloza, C., Alonso-Lana, S., Ameis, S. H., Anagnostou, E., Mcintosh, A. A., Arango, C., Arnold, P. D., Asherson, P., Assogna, F., Auzias, G., Ayesa-Arriola, R., Bakker, G., Banaj, N., Banaschewski, T., Bandeira, C. E., Baranov, A., Bargallo, N., Bau, C. H. D., Baumeister, S., Baune, B. T., Bellgrove, M. A., Benedetti, F., Bertolino, A., Boedhoe, P. S. W., Boks, M., Bollettini, I., Del Mar Bonnin, C., Borgers, T., Borgwardt, S., Brandeis, D., Brennan, B. P., Bruggemann, J. M., Bulow, R., Busatto, G. F., Calderoni, S., Calhoun, V. D., Calvo, R., Canales-Rodriguez, E. J., Cannon, D. M., Carr, V. J., Cascella, N., Cercignani, M., Chaim-Avancini, T. M., Christakou, A., Coghill, D., Conzelmann, A., Crespo-Facorro, B., Cubillo, A. I., Cullen, K. R., Cupertino, R. B., Daly, E., Dannlowski, U., Davey, C. G., Denys, D., Deruelle, C., Di Giorgio, A., Dickie, E. W., Dima, D., Dohm, K., Ehrlich, S., Ely, B. A., Erwin-Grabner, T., Ethofer, T., Fair, D. A., Fallgatter, A. J., Faraone, S. V., Fatjo-Vilas, M., Fedor, J. M., Fitzgerald, K. D., Ford, J. M., Frodl, T., Fu, C. H. Y., Fullerton, J. M., Gabel, M. C., Glahn, D. C., Roberts, G., Gogberashvili, T., Goikolea, J. M., Gotlib, I. H., Goya-Maldonado, R., Grabe, H. J., Green, M. J., Grevet, E. H., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Guerrero-Pedraza, A., Gur, R. E., Gur, R. C., Haar, S., Haarman, B. C. M., Haavik, J., Hahn, T., Hajek, T., Harrison, B. J., Harrison, N. A., Hartman, C. A., Whalley, H. C., Heslenfeld, D. J., Hibar, D. P., Hilland, E., Hirano, Y., Ho, T. C., Hoekstra, P. J., Hoekstra, L., Hohmann, S., Hong, L. E., Hoschl, C., Hovik, M. F., Howells, F. M., Nenadic, I., Jalbrzikowski, M., James, A. C., Janssen, J., Jaspers-Fayer, F., Xu, J., Jonassen, R., Karkashadze, G., King, J. A., Kircher, T., Kirschner, M., Koch, K., Kochunov, P., Kohls, G., Konrad, K., Kramer, B., Krug, A., Kuntsi, J., Kwon, J. S., Landen, M., Landro, N. I., Lazaro, L., Lebedeva, I. S., Leehr, E. J., Lera-Miguel, S., Lesch, K. -P., Lochner, C., Louza, M. R., Luna, B., Lundervold, A. J., Macmaster, F. P., Maglanoc, L. A., Malpas, C. B., Portella, M. J., Marsh, R., Martyn, F. M., Mataix-Cols, D., Mathalon, D. H., Mccarthy, H., Mcdonald, C., Mcphilemy, G., Meinert, S., Menchon, J. M., Minuzzi, L., Mitchell, P. B., Moreno, C., Morgado, P., Muratori, F., Murphy, C. M., Murphy, D., Mwangi, B., Nabulsi, L., Nakagawa, A., Nakamae, T., Namazova, L., Narayanaswamy, J., Jahanshad, N., Nguyen, D. D., Nicolau, R., O'Gorman Tuura, R. L., O'Hearn, K., Oosterlaan, J., Opel, N., Ophoff, R. A., Oranje, B., Garcia De La Foz, V. O., Overs, B. J., Paloyelis, Y., Pantelis, C., Parellada, M., Pauli, P., Pico-Perez, M., Picon, F. A., Piras, F., Plessen, K. J., Pomarol-Clotet, E., Preda, A., Puig, O., Quide, Y., Radua, J., Ramos-Quiroga, J. A., Rasser, P. E., Rauer, L., Reddy, J., Redlich, R., Reif, A., Reneman, L., Repple, J., Retico, A., Richarte, V., Richter, A., Rosa, P. G. P., Rubia, K. K., Hashimoto, R., Sacchet, M. D., Salvador, R., Santonja, J., Sarink, K., Sarro, S., Satterthwaite, T. D., Sawa, A., Schall, U., Schofield, P. R., Schrantee, A., Seitz, J., Serpa, M. H., Setien-Suero, E., Shaw, P., Shook, D., Silk, T. J., Sim, K., Simon, S., Simpson, H. B., Singh, A., Skoch, A., Skokauskas, N., Soares, J. C., Soreni, N., Soriano-Mas, C., Spalletta, G., Spaniel, F., Lawrie, S. M., Stern, E. R., Stewart, S. E., Takayanagi, Y., Temmingh, H. S., Tolin, D. F., Tomecek, D., Tordesillas-Gutierrez, D., Tosetti, M., Uhlmann, A., Van Amelsvoort, T., Van Der Wee, N. J. A., Van Der Werff, S. J. A., Van Haren, N. E. M., Van Wingen, G. A., Vance, A., Vazquez-Bourgon, J., Vecchio, D., Venkatasubramanian, G., Vieta, E., Vilarroya, O., Vives-Gilabert, Y., Voineskos, A. N., Volzke, H., Von Polier, G. G., Walton, E., Weickert, T. W., Weickert, C. S., Weideman, A. S., Wittfeld, K., Wolf, D. H., Wu, M. -J., Yang, T. T., Yang, K., Yoncheva, Y., Yun, J. -Y., Cheng, Y., Zanetti, M. V., Ziegler, G. C., Franke, B., Hoogman, M., Buitelaar, J. K., Van Rooij, D., Andreassen, O. A., Ching, C. R. K., Veltman, D. J., Schmaal, L., Stein, D. J., Van Den Heuvel, O. A., Turner, J. A., Van Erp, T. G. M., Pausova, Z., Thompson, P. M., Paus, T., Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Pediatric surgery, Radiology and nuclear medicine, Anatomy and neurosciences, Psychiatry, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Neurodegeneration, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, MUMC+: MA Med Staf Spec Psychiatrie (9), Adult Psychiatry, ANS - Compulsivity, Impulsivity & Attention, General Paediatrics, ARD - Amsterdam Reproduction and Development, Radiology and Nuclear Medicine, APH - Personalized Medicine, ANS - Brain Imaging, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, University of Zurich, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Clinical Neuropsychology, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Child and Adolescent Psychiatry / Psychology, IBBA, and Cognitive Psychology

Subjects
Male, Obsessive-Compulsive Disorder, Bipolar Disorder, Autism Spectrum Disorder, Autism, [SDV]Life Sciences [q-bio], Gene Expression, cytology [Cerebral Cortex], Cohort Studies, Fetal Development, physiology [Gene Expression], 2738 Psychiatry and Mental Health, 0302 clinical medicine, diagnostic imaging [Cerebral Cortex], SCHIZOPHRENIA, BRAIN, Child, Obsessive-compulsive disorder (OCD), Original Investigation, Aged, 80 and over, Cerebral Cortex, 0303 health sciences, pathology [Depressive Disorder, Major], Principal Component Analysis, Adolescent psychiatry, 10058 Department of Child and Adolescent Psychiatry, Middle Aged, diagnostic imaging [Obsessive-Compulsive Disorder], REGIONS, Magnetic Resonance Imaging, 3. Good health, FALSE DISCOVERY RATE, Psychiatry and Mental health, Autism spectrum disorder, Schizophrenia, growth & development [Cerebral Cortex], Child, Preschool, Major depressive disorder, diagnostic imaging [Schizophrenia], Esquizofrènia, Female, Psiquiatria infantil, Psiquiatria de l'adolescència, diagnostic imaging [Autism Spectrum Disorder], Adult, medicine.medical_specialty, Adolescent, Human Development, 610 Medicine & health, diagnostic imaging [Bipolar Disorder], pathology [Autism Spectrum Disorder], diagnostic imaging [Depressive Disorder, Major], 03 medical and health sciences, Young Adult, All institutes and research themes of the Radboud University Medical Center, Neuroimaging, SDG 3 - Good Health and Well-being, CEREBRAL-CORTEX, Child psychiatry, medicine, Attention deficit hyperactivity disorder, Humans, Bipolar disorder, ddc:610, Psychiatry, pathology [Schizophrenia], 030304 developmental biology, Aged, Depressive Disorder, Major, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, DENDRITE, Computational Biology, Correction, pathology [Attention Deficit Disorder with Hyperactivity], physiology [Fetal Development], medicine.disease, PATHOLOGY, pathology [Bipolar Disorder], pathology [Obsessive-Compulsive Disorder], 10036 Medical Clinic, Attention Deficit Disorder with Hyperactivity, 10054 Clinic for Psychiatry, Psychotherapy, and Psychosomatics, Case-Control Studies, DENSITY, ORIGINS, HIPPOCAMPUS, diagnostic imaging [Attention Deficit Disorder with Hyperactivity], pathology [Cerebral Cortex], Autisme, business, Neuroscience, 030217 neurology & neurosurgery, physiology [Human Development]
Abstract

[Importance] Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these differences is not well understood., [Objective] To determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia., [Design, Setting, and Participants] Profiles of group differences in cortical thickness between cases and controls were generated using T1-weighted magnetic resonance images. Similarity between interregional profiles of cell-specific gene expression and those in the group differences in cortical thickness were investigated in each disorder. Next, principal component analysis was used to reveal a shared profile of group difference in thickness across the disorders. Analysis for gene coexpression, clustering, and enrichment for genes associated with these disorders were conducted. Data analysis was conducted between June and December 2019. The analysis included 145 cohorts across 6 psychiatric disorders drawn from the ENIGMA consortium. The numbers of cases and controls in each of the 6 disorders were as follows: ADHD: 1814 and 1602; ASD: 1748 and 1770; BD: 1547 and 3405; MDD: 2658 and 3572; OCD: 2266 and 2007; and schizophrenia: 2688 and 3244., [Main Outcomes and Measures] Interregional profiles of group difference in cortical thickness between cases and controls., [Results] A total of 12 721 cases and 15 600 controls, ranging from ages 2 to 89 years, were included in this study. Interregional profiles of group differences in cortical thickness for each of the 6 psychiatric disorders were associated with profiles of gene expression specific to pyramidal (CA1) cells, astrocytes (except for BD), and microglia (except for OCD); collectively, gene-expression profiles of the 3 cell types explain between 25% and 54% of variance in interregional profiles of group differences in cortical thickness. Principal component analysis revealed a shared profile of difference in cortical thickness across the 6 disorders (48% variance explained); interregional profile of this principal component 1 was associated with that of the pyramidal-cell gene expression (explaining 56% of interregional variation). Coexpression analyses of these genes revealed 2 clusters: (1) a prenatal cluster enriched with genes involved in neurodevelopmental (axon guidance) processes and (2) a postnatal cluster enriched with genes involved in synaptic activity and plasticity-related processes. These clusters were enriched with genes associated with all 6 psychiatric disorders., [Conclusions and Relevance] In this study, shared neurobiologic processes were associated with differences in cortical thickness across multiple psychiatric disorders. These processes implicate a common role of prenatal development and postnatal functioning of the cerebral cortex in these disorders.

Published
2021
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43. Mental Health Impact of the First Wave of COVID-19 Pandemic on Spanish Healthcare Workers: a Large Cross-sectional Survey

Author

Alonso, Jordi, Vilagut, Gemma, Mortier, Philippe, Ferrer, Montse, Alayo, Itxaso, Aragón-Peña, Andrés, Aragonès, Enric, Campos, Mireia, Cura-González, Isabel D., Emparanza, José I., Espuga, Meritxell, Forjaz, M. Joao, González-Pinto, Ana, Haro Abad, Josep Maria, López-Fresneña, Nieves, Salázar, Alma D. Martínez de, Molina, Juan D., Ortí-Lucas, Rafael M., Parellada, Mara, Pelayo-Terán, José Maria, Pérez-Zapata, Aurora, Pijoan, José I., Plana, Nieves, Puig, Maria Teresa, Rius, Cristina, Rodríguez-Blázquez, Carmen, Sanz, Ferran, Serra, Consol, Kessler, Ronald, Bruffaerts, Ronny, Vieta, Eduard, Pérez-Solà, Víctor, and Universitat Autònoma de Barcelona

Subjects
Adult, Male, medicine.medical_specialty, Necesidad de atención, MINDCOVID Working group, Adolescent, Cross-sectional study, Health Personnel, Adverse Mental Health, COVID-19 pandemic, Pandemia de COVID-19, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Prevalence of mental disorders, Trabajadores de la salud, Health care, Prevalence, medicine, Humans, Need for Care, Psychiatry, Disability, Salud mental adversa, business.industry, Mental Disorders, Healthcare Workers, COVID-19, Panic, General Medicine, Middle Aged, medicine.disease, Mental health, 030227 psychiatry, Occupational Diseases, Substance abuse, Psychiatry and Mental health, Mental Health, Cross-Sectional Studies, Mood, Trastornos mentales, Spain, Discapacidad, Anxiety, Original Article, Female, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract

IntroductionHealthcare workers are vulnerable to adverse mental health impacts of COVID-19. We assessed prevalence of mental disorders and associated factors during the first wave of the pandemic among healthcare professionals in Spain.MethodsAll workers in 18 healthcare institutions (6 AACC) in Spain were invited to a series of online surveys assessing a wide range of individual characteristics, COVID-19 infection status and exposure, and mental health status. Here we report: current mental disorders (Major Depressive Disorder-MDD- [PHQ-8≥10], Generalized Anxiety Disorder-GAD- [GAD-7≥10], Panic attacks, Posttraumatic Stress Disorder –PTSD- [PCL-5≥7]; and Substance Use Disorder –SUD-[CAGE-AID≥2]. Severe disability assessed by the Sheehan Disability Scale was used to identify “disabling” current mental disorders.Results9,138 healthcare workers participated. Prevalence of screen-positive disorder: 28.1% MDD; 22.5% GAD, 24.0% Panic; 22.2% PTSD; and 6.2% SUD. Overall 45.7% presented any current and 14.5% any disabling current mental disorder. Healthcare workers with prior lifetime mental disorders had almost twice the prevalence of current disorders than those without. Adjusting for all other variables, odds of any disabling mental disorder were: prior lifetime disorders (TUS: OR=5.74; 95%CI 2.53-13.03; Mood: OR=3.23; 95%CI:2.27-4.60; Anxiety: OR=3.03; 95%CI:2.53-3.62); age category 18-29 years (OR=1.36; 95%CI:1.02-1.82), caring “all of the time” for COVID-19 patients (OR=5.19; 95%CI: 3.61-7.46), female gender (OR=1.58; 95%CI: 1.27-1.96) and having being in quarantine or isolated (OR= 1.60; 95CI:1.31-1.95).ConclusionsCurrent mental disorders were very frequent among Spanish healthcare workers during the first wave of COVID-19. As the pandemic enters its second wave, careful monitoring and support is needed for healthcare workers, especially those with previous mental disorders and those caring COVID-19 very often.

Published
2020
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44. Validity of the Shahin Mixed Depression Scale: A Self-Rated Instrument Designed to Measure the Non-DSM Mixed Features in Depression

Author

Shahin, Islam, Bonnin, Caterina Del Mar, Saleh, Elsayed, Helmy, Khaled, Youssef, Usama M, and Vieta, Eduard

Subjects
Psychiatry, Neuropsychiatric Disease and Treatment, mixed depression scale, Mental depression, major depressive disorder, psychomotor agitation, mixed depression, agitated depression, Psiquiatria, unipolar depression, Depressió psíquica, Original Research
Abstract

Background The DSM5-defined mixed features in depression do not include psychomotor agitation, irritability or distractibility because they are considered overlapping symptoms. A growing number of modern psychiatrists have expressed dissatisfaction with this and proposed alternative sets of mixed symptoms that are much more common and clinically relevant. Among such alternative criteria were those proposed by Koukopoulos. He utilized the research diagnostic criteria of agitated depression (RDC-A) as a mixed depression subtype, and validated another form of mixed depression, the Koukopoulos criteria for mixed depression (K-DMX). Purpose This study provides psychometric validation for the first self-rated scale designed to measure the most common mixed symptoms in depression as proposed by Koukopoulos. Patients and Methods We conducted a multicenter cross-sectional study of 170 patients with unipolar depression. They completed the Shahin Mixed Depression Scale (SMDS) and underwent expert interviews as a gold standard reference. SMDS’ psychometric properties were assessed, including Cronbach’s alpha, factor analysis, sensitivity, specificity, predictive value and accuracy. Results We found significant association and agreement between mixity according to SMDS and the gold standard (K-DMX and RDC-A according to expert interview) with good internal consistency (Cronbach’s alpha=0.87), high sensitivity (=91.4%), specificity (=98.0%), positive predictive value (=96.9%), negative predictive value (= 94.2%) and accuracy (=95.2%). Factor analysis identified one factor for psychomotor agitation and another for mixity without psychomotor agitation. Conclusion SMDS was a reliable and valid instrument for assessing the frequently encountered and clinically relevant mixed features in depression., Video Abstract Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/BkB7J6NnzOE

Published
2020

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