14 results on '"Elisabeth Gulowsen Celius"'
Search Results
2. Rebaseline no evidence of disease activity (NEDA-3) as a predictor of long-term disease course in a Norwegian multiple sclerosis population
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Cecilia Smith Simonsen, Heidi Øyen Flemmen, Line Broch, Kamilla Brekke, Cathrine Brunborg, Pål Berg-Hansen, and Elisabeth Gulowsen Celius
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multiple sclerosis ,NEDA 3 ,no evidence of disease activity ,time to EDSS 6 ,high efficacy treatment ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
IntroductionNo evidence of disease activity with three components (NEDA-3) is achieved if the person with MS (pwMS) has no new MRI lesions, no new relapses and no change in Expanded disability status scale (EDSS) over 1 year. Whether NEDA-3 is a good tool in measuring disease activity is up for discussion, but it is superior to the individual parameters separately and user-friendly. There is disagreement on whether NEDA-3 is a good predictor of long-term disability.MethodsThis is a retrospective cohort study using real-world data with limited selection bias from the complete MS population at two hospitals in the southeast of Norway. We included pwMS diagnosed between 2006 and 2017 who had enough information to determine time to failure of NEDA-3 after diagnosis.ResultsOf 536 pwMS, only 38% achieved NEDA 1 year after diagnosis. PwMS achieving NEDA were more likely to be started on a high efficacy drug as the initial drug, but there were no demographic differences. Mean time to NEDA failure was 3.3 (95% CI 2.9–3.7) years. Starting a high efficiacy therapy was associated with an increased risk of sustaining NEDA as compared to those receiving moderate efficacy therapy. PwMS who achieved NEDA at year one had a mean time to EDSS 6 of 33.8 (95% CI 30.9–36.8) years vs. 30.8 (95% CI 25.0–36.6) years in pwMS who did not achieve NEDA, p < 0.001. When rebaselining NEDA 1 year after diagnosis, 52.2% achieved NEDA in the 1st year after rebaseline, mean time to NEDA failure was 3.4 (95% CI 3.0–3.7) years and mean time to EDSS 6 was 44.5 (95% CI 40.4–48.5) years in pwMS achieving NEDA vs. 29.6 (95% CI 24.2–35.0) years in pwMS not achieving NEDA, p < 0.001. After rebaseline, pwMS with a high efficacy therapy as the initial drug had a mean time from diagnosis to NEDA fail of 4.8 years (95% CI 3.9–5.8) vs. 3.1 years (95% CI 2.7–3.5) in pwMS started on a moderate efficacy therapy, p < 0.001. In pwMS with NEDA failure at year one, 70% failed one, 28% failed two and 2% failed three components. New MRI lesions were the most common cause of NEDA failure (63%), followed by new relapses (50%) and EDSS change (25%).ConclusionNEDA-3 from rebaseline after 1 year, once treatment is stabilized, can predict the long-term disease course in MS. Starting a high efficacy DMT is associated with longer time to NEDA failure than moderate therapies. Finally, most pwMS only fail one component and new MRI lesions are the most likely cause of NEDA failure.
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- 2022
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3. Deep neural networks learn general and clinically relevant representations of the ageing brain
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Esten H. Leonardsen, Han Peng, Tobias Kaufmann, Ingrid Agartz, Ole A. Andreassen, Elisabeth Gulowsen Celius, Thomas Espeseth, Hanne F. Harbo, Einar A. Høgestøl, Ann-Marie de Lange, Andre F. Marquand, Didac Vidal-Piñeiro, James M. Roe, Geir Selbæk, Øystein Sørensen, Stephen M. Smith, Lars T. Westlye, Thomas Wolfers, and Yunpeng Wang
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
The discrepancy between chronological age and the apparent age of the brain based on neuroimaging data — the brain age delta — has emerged as a reliable marker of brain health. With an increasing wealth of data, approaches to tackle heterogeneity in data acquisition are vital. To this end, we compiled raw structural magnetic resonance images into one of the largest and most diverse datasets assembled (n=53542), and trained convolutional neural networks (CNNs) to predict age. We achieved state-of-the-art performance on unseen data from unknown scanners (n=2553), and showed that higher brain age delta is associated with diabetes, alcohol intake and smoking. Using transfer learning, the intermediate representations learned by our model complemented and partly outperformed brain age delta in predicting common brain disorders. Our work shows we can achieve generalizable and biologically plausible brain age predictions using CNNs trained on heterogeneous datasets, and transfer them to clinical use cases.
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- 2022
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4. Oral Cladribine in Patients who Change From First-Line Disease Modifying Treatments for Multiple Sclerosis: Protocol of a Prospective Effectiveness and Safety Study (CLAD CROSS)
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Georgios Tsivgoulis, Spyros Deftereos, Claudio Gobbi, Elisabeth Gulowsen Celius, Alina Kulakowska, Giorgia Maniscalco, Irene Mendes, and Nicolaos Grigoriadis
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Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Background Recently, the number of available disease modifying therapies for multiple sclerosis (MS) has increased. However, a proportion of patients treated with these agents continue to experience relapses and disease progression. Cladribine tablets, approved in 2017 for highly active relapsing MS, comprise a sparsely administered oral treatment which exerts its therapeutic effect through a reduction and subsequent repletion of the lymphocyte population. Purpose/Study Sample Here we describe the design of CLAD CROSS, a prospective, non-interventional, multicenter, Phase IV study in patients with a confirmed diagnosis of RRMS who switch from first-line disease modifying drugs (DMDs) to treatment with cladribine tablets in routine clinical practice. 242 adult patients will be recruited in 61 sites (6 countries) over 30 months and will be followed up for 2 years following prescription of cladribine tablets per the decision of the treating physicians. Research Design The primary endpoint is the change in annualized relapse rate (ARR) between the 12-month pre-baseline period and over the 12-month period before end of study. Secondary endpoints are the percentage of patients with 6-month disability progression or improvement at the end of the study, measured by the Expanded Disability Status Scale, Timed 25 Foot Walk and 9-Hole Peg Test scales and quality of life, treatment satisfaction, and healthcare resource utilization, measured through the MSIS-29, TSQM 1.4, and EQ-5D-3L scales, respectively. MRI lesions will be compared in the exploratory setting between the 12-month pre-baseline period, baseline, and at years 1 and 2. Adverse events will be monitored throughout the study. Interim analyses are pre-planned when 30% and 60% of patients will complete the 12-month follow-up visit. Conclusions CLAD CROSS will provide efficacy data on cladribine tablets, used as a follow-up treatment to first-line DMDs in the real-world setting, will further establish its safety profile and will collect information to support pharmacoeconomic studies.
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- 2022
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5. The genetic architecture of human brainstem structures and their involvement in common brain disorders
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Torbjørn Elvsåshagen, Shahram Bahrami, Dennis van der Meer, Ingrid Agartz, Dag Alnæs, Deanna M. Barch, Ramona Baur-Streubel, Alessandro Bertolino, Mona K. Beyer, Giuseppe Blasi, Stefan Borgwardt, Birgitte Boye, Jan Buitelaar, Erlend Bøen, Elisabeth Gulowsen Celius, Simon Cervenka, Annette Conzelmann, David Coynel, Pasquale Di Carlo, Srdjan Djurovic, Sarah Eisenacher, Thomas Espeseth, Helena Fatouros-Bergman, Lena Flyckt, Barbara Franke, Oleksandr Frei, Barbara Gelao, Hanne Flinstad Harbo, Catharina A. Hartman, Asta Håberg, Dirk Heslenfeld, Pieter J. Hoekstra, Einar A. Høgestøl, Rune Jonassen, Erik G. Jönsson, Karolinska Schizophrenia Project (KaSP) consortium, Peter Kirsch, Iwona Kłoszewska, Trine Vik Lagerberg, Nils Inge Landrø, Stephanie Le Hellard, Klaus-Peter Lesch, Luigi A. Maglanoc, Ulrik F. Malt, Patrizia Mecocci, Ingrid Melle, Andreas Meyer-Lindenberg, Torgeir Moberget, Jan Egil Nordvik, Lars Nyberg, Kevin S. O’ Connell, Jaap Oosterlaan, Marco Papalino, Andreas Papassotiropoulos, Paul Pauli, Giulio Pergola, Karin Persson, Dominique de Quervain, Andreas Reif, Jaroslav Rokicki, Daan van Rooij, Alexey A. Shadrin, André Schmidt, Emanuel Schwarz, Geir Selbæk, Hilkka Soininen, Piotr Sowa, Vidar M. Steen, Magda Tsolaki, Bruno Vellas, Lei Wang, Eric Westman, Georg C. Ziegler, Mathias Zink, Ole A. Andreassen, Lars T. Westlye, and Tobias Kaufmann
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Science - Abstract
The genetic architecture underlying brainstem regions and how this links to common brain disorders is not well understood. Here, the authors use MRI and GWAS data from 27,034 individuals to identify genetic and morphological brainstem features that influence common brain disorders.
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- 2020
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6. State of the Art and Future Challenges in Multiple Sclerosis Research and Medical Management: An Insight into the 5th International Porto Congress of Multiple Sclerosis
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María José Sá, Ricardo Soares dos Reis, Ayse Altintas, Elisabeth Gulowsen Celius, Claudia Chien, Giancarlo Comi, Francesc Graus, Jan Hillert, Jeremy Hobart, Gulfaraz Khan, Najib Kissani, Dawn Langdon, Maria Isabel Leite, Darin T. Okuda, Jacqueline Palace, Regina María Papais-Alvarenga, Inês Mendes-Pinto, and Fu-Dong Shi
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Congress review ,Demyelinating diseases ,Multiple sclerosis ,Neurological diseases ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract The 5th International Porto Congress of Multiple Sclerosis took place between the 14th and 16th of February 2019 in Porto, Portugal. Its intensive programme covered a wide-range of themes—including many of the hot topics, challenges, pitfalls and yet unmet needs in the field of multiple sclerosis (MS)—led by a number of well-acknowledged world experts. This meeting review summarizes the talks that took place during the congress, which focussed on issues in MS as diverse as the development and challenges of progressive MS, epidemiology, differential diagnosis, medical management, molecular research and imaging tools.
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- 2020
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7. Early High Efficacy Treatment in Multiple Sclerosis Is the Best Predictor of Future Disease Activity Over 1 and 2 Years in a Norwegian Population-Based Registry
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Cecilia Smith Simonsen, Heidi Øyen Flemmen, Line Broch, Cathrine Brunborg, Pål Berg-Hansen, Stine Marit Moen, and Elisabeth Gulowsen Celius
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multiple sclerosis ,disease modifying therapies ,no evidence of disease activity ,disease activity ,treatment decision ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Background: Moderate and high efficacy disease modifying therapies (DMTs) have a profound effect on disease activity. The current treatment guidelines only recommend high efficacy DMTs for patients with highly active MS. The objective was to examine the impact of initial treatment choice in achieving no evidence of disease activity (NEDA) at year 1 and 2.Methods: Using a real-world population-based registry with limited selection bias from the southeast of Norway, we determined how many patients achieved NEDA on moderate and high efficacy DMTs.Results: 68.0% of patients who started a high efficacy DMT as the first drug achieved NEDA at year 1 and 52.4% at year 2 as compared to 36.0 and 19.4% of patients who started a moderate efficacy DMT as a first drug. The odds ratio (OR) of achieving NEDA on high efficacy drugs compared to moderate efficacy drugs as a first drug at year 1 was 3.9 (95% CI 2.4–6.1, p < 0.001). The OR for high efficacy DMT as the second drug was 2.5 (95% CI 1.7–3.9, p < 0.001), and was not significant for the third drug. Patients with a medium or high risk of disease activity were significantly more likely to achieve NEDA on a high efficacy therapy as a first drug compared to moderate efficacy therapy as a first drug.Conclusions: Achieving NEDA at year 1 and 2 is significantly more likely in patients on high-efficacy disease modifying therapies than on moderate efficacy therapies, and the first choice of treatment is the most important. The immunomodulatory treatment guidelines should be updated to ensure early, high efficacy therapy for the majority of patients diagnosed with MS.
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- 2021
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8. Increased DNA methylation of SLFN12 in CD4+ and CD8+ T cells from multiple sclerosis patients.
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Brooke Rhead, Ina S Brorson, Tone Berge, Cameron Adams, Hong Quach, Stine Marit Moen, Pål Berg-Hansen, Elisabeth Gulowsen Celius, Dipen P Sangurdekar, Paola G Bronson, Rodney A Lea, Sean Burnard, Vicki E Maltby, Rodney J Scott, Jeannette Lechner-Scott, Hanne F Harbo, Steffan D Bos, and Lisa F Barcellos
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Medicine ,Science - Abstract
DNA methylation is an epigenetic mark that is influenced by environmental factors and is associated with changes to gene expression and phenotypes. It may link environmental exposures to disease etiology or indicate important gene pathways involved in disease pathogenesis. We identified genomic regions that are differentially methylated in T cells of patients with relapsing remitting multiple sclerosis (MS) compared to healthy controls. DNA methylation was assessed at 450,000 genomic sites in CD4+ and CD8+ T cells purified from peripheral blood of 94 women with MS and 94 healthy women, and differentially methylated regions were identified using bumphunter. Differential DNA methylation was observed near four loci: MOG/ZFP57, HLA-DRB1, NINJ2/LOC100049716, and SLFN12. Increased methylation of the first exon of the SLFN12 gene was observed in both T cell subtypes and remained present after restricting analyses to samples from patients who had never been on treatment or had been off treatment for more than 2.5 years. Genes near the regions of differential methylation in T cells were assessed for differential expression in whole blood samples from a separate population of 1,329 women with MS and 97 healthy women. Gene expression of HLA-DRB1, NINJ2, and SLFN12 was observed to be decreased in whole blood in MS patients compared to controls. We conclude that T cells from MS patients display regions of differential DNA methylation compared to controls, and corresponding gene expression differences are observed in whole blood. Two of the genes that showed both methylation and expression differences, NINJ2 and SLFN12, have not previously been implicated in MS. SLFN12 is a particularly compelling target of further research, as this gene is known to be down-regulated during T cell activation and up-regulated by type I interferons (IFNs), which are used to treat MS.
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- 2018
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9. Association of genetic markers with CSF oligoclonal bands in multiple sclerosis patients.
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Maurizio A Leone, Nadia Barizzone, Federica Esposito, Ausiliatrice Lucenti, Hanne F Harbo, An Goris, Ingrid Kockum, Annette Bang Oturai, Elisabeth Gulowsen Celius, Inger L Mero, Bénédicte Dubois, Tomas Olsson, Helle Bach Søndergaard, Daniele Cusi, Sara Lupoli, Bettina Kulle Andreassen, International Multiple Sclerosis Genetics Consortium, Wellcome Trust Case Control Consortium, Kjell-Morten Myhr, Franca R Guerini, PROGEMUS Group, PROGRESSO Group, Giancarlo Comi, Filippo Martinelli-Boneschi, and Sandra D'Alfonso
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Medicine ,Science - Abstract
to explore the association between genetic markers and Oligoclonal Bands (OCB) in the Cerebro Spinal Fluid (CSF) of Italian Multiple Sclerosis patients.We genotyped 1115 Italian patients for HLA-DRB1*15 and HLA-A*02. In a subset of 925 patients we tested association with 52 non-HLA SNPs associated with MS susceptibility and we calculated a weighted Genetic Risk Score. Finally, we performed a Genome Wide Association Study (GWAS) with OCB status on a subset of 562 patients. The best associated SNPs of the Italian GWAS were replicated in silico in Scandinavian and Belgian populations, and meta-analyzed.HLA-DRB1*15 is associated with OCB+: p = 0.03, Odds Ratio (OR) = 1.6, 95% Confidence Limits (CL) = 1.1-2.4. None of the 52 non-HLA MS susceptibility loci was associated with OCB, except one SNP (rs2546890) near IL12B gene (OR: 1.45; 1.09-1.92). The weighted Genetic Risk Score mean was significantly (p = 0.0008) higher in OCB+ (7.668) than in OCB- (7.412) patients. After meta-analysis on the three datasets (Italian, Scandinavian and Belgian) for the best associated signals resulted from the Italian GWAS, the strongest signal was a SNP (rs9320598) on chromosome 6q (p = 9.4×10(-7)) outside the HLA region (65 Mb).genetic factors predispose to the development of OCB.
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- 2013
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10. Bone turnover and metabolism in patients with early multiple sclerosis and prevalent bone mass deficit: a population-based case-control study.
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Stine Marit Moen, Elisabeth Gulowsen Celius, Leiv Sandvik, Magritt Brustad, Lars Nordsletten, Erik Fink Eriksen, and Trygve Holmøy
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Medicine ,Science - Abstract
BACKGROUND: Low bone mass is prevalent in ambulatory multiple sclerosis (MS) patients even shortly after clinical onset. The mechanism is not known, but could involve shared etiological risk factors between MS and low bone mass such as hypovitaminosis D operating before disease onset, or increased bone loss after disease onset. The aim of this study was to explore the mechanism of the low bone mass in early-stage MS patients. METHODOLOGY/PRINCIPAL FINDINGS: We performed a population-based case-control study comparing bone turnover (cross-linked N-terminal telopeptide of type 1 collagen; NTX, bone alkaline phosphatase; bALP), metabolism (25-hydroxy- and 1, 25-dihydroxyvitamin D, calcium, phosphate, and parathyroid hormone), and relevant lifestyle factors in 99 patients newly diagnosed with clinically isolated syndrome (CIS) or MS, and in 159 age, sex, and ethnicity matched controls. After adjustment for possible confounders, there were no significant differences in NTX (mean 3.3; 95% CI -6.9, 13.5; p = 0.519), bALP (mean 1.6; 95% CI -0.2, 3.5; p = 0.081), or in any of the parameters related to bone metabolism in patients compared to controls. The markers of bone turnover and metabolism were not significantly correlated with bone mass density, or associated with the presence of osteoporosis or osteopenia within or between the patient and control groups. Intake of vitamin D and calcium, reported UV exposure, and physical activity did not differ significantly. CONCLUSIONS/SIGNIFICANCE: Bone turnover and metabolism did not differ significantly in CIS and MS patients with prevalent low bone mass compared to controls. These findings indicate that the bone deficit in patients newly diagnosed with MS and CIS is not caused by recent acceleration of bone loss, and are compatible with shared etiological factors between MS and low bone mass.
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- 2012
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11. Chronic fatigue and depression due to multiple sclerosis: Immune-inflammatory pathways, tryptophan catabolites and the gut-brain axis as possible shared pathways
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George M. Anderson, Heidi Ormstad, Cecilia Smith Simonsen, Elisabeth Gulowsen Celius, Line Broch, and Michael Maes
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Multiple Sclerosis ,Kynurenine pathway ,Gut–brain axis ,Immune-inflammatory pathways ,Bioinformatics ,Proinflammatory cytokine ,Multiple sclerosis ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,030212 general & internal medicine ,Pathological ,Depression (differential diagnoses) ,Fatigue Syndrome, Chronic ,business.industry ,Depression ,Depressive symptoms ,Tryptophan ,Brain ,Chronic fatigue ,General Medicine ,MS ,medicine.disease ,Neurology ,Quality of Life ,Neurology (clinical) ,business ,030217 neurology & neurosurgery - Abstract
Chronic fatigue and major depression (MDD)-like symptoms are common manifestations of multiple sclerosis (MS), both with huge impact on quality of life. Depression can manifest itself as fatigue, and depressive symptoms are often mistaken for fatigue, and vice versa. The two conditions are sometimes difficult to differentiate, and their relationship is unclear. Whether chronic fatigue and depression occur primarily, secondarily or coincidentally with activated immune-inflammatory pathways in MS is still under debate. We have carried out a descriptive review aiming to gain a deeper understanding of the relationship between chronic fatigue and depression in MS, and the shared pathways that underpin both conditions. This review focuses on immune-inflammatory pathways, the kynurenine pathway and the gut-brain axis. It seems likely that proinflammatory cytokines, tryptophan catabolites (the KYN pathway) and the gut-brain axis are involved in the mechanisms causing chronic fatigue and MDD-like symptoms in MS. However, the evidence base is weak, and more research is needed. In order to advance our understanding of the underlying pathological mechanisms, MS-related fatigue and depression should be examined using a longitudinal design and both immune-inflammatory and KYN pathway biomarkers should be measured, relevant clinical characteristics judiciously registered, and self-report instruments for both fatigue and depression should be used.
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- 2020
12. Risk of cancer among multiple sclerosis patients, siblings, and population controls: A prospective cohort study
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Kjell-Morten Myhr, Anita Vatne, Rune Midgard, Margitta T. Kampman, Øivind Torkildsen, Nina Grytten, Elisabeth Gulowsen Celius, Jan Harald Aarseth, Trond Riise, and Espen Benjaminsen
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Risk ,medicine.medical_specialty ,Multiple Sclerosis ,Population ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Neoplasms ,Internal medicine ,Epidemiology ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,education ,030304 developmental biology ,0303 health sciences ,education.field_of_study ,business.industry ,Siblings ,Multiple sclerosis ,Cancer ,medicine.disease ,Neurology ,Neurology (clinical) ,business ,030217 neurology & neurosurgery - Abstract
Background: Risk of cancer in multiple sclerosis (MS) patients compared to their siblings is unknown. Objective: The objective was to prospectively investigate the risk of cancer among MS patients compared to siblings without MS and to population controls. Methods: We retrieved data on MS patients born between 1930 and 1979 from the Norwegian Multiple Sclerosis Registry and population studies and on cancer diagnosis from the Cancer Registry of Norway. We used adjusted Cox proportional hazard regression to estimate cancer risk among 6883 MS patients, 8918 siblings without MS, and 37,919 population controls. Results: During 65 years of follow-up, cancer risk among MS patients was higher than that among population controls (hazard ratio (HR) = 1.14, 95% confidence interval (CI): 1.05–1.23) in respiratory organs (HR = 1.66, 95% CI: 1.26–2.19), urinary organs (HR = 1.51, 95% CI: 1.12–2.04), and the central nervous system (HR = 1.52, 95% CI: 1.11–2. 09). Siblings had higher risk of hematological cancers compared with MS patients (HR = 1.82, 95% CI: 1.21–2.73) and population controls (HR = 1.72, 95% CI: 1.36–2.18). Conclusion: MS patients were associated with increased risk of cancer compared to population controls. Siblings had increased risk of hematological cancer. This indicates that MS and hematological cancer could share a common etiology.
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- 2019
13. Level of education and multiple sclerosis risk over a 50-year period: Registry-based sibling study
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Kristin Ingeleiv Løken-Amsrud, Ole-Petter Dahl, Øivind Torkildsen, Trond Riise, Kjell-Morten Myhr, Elisabeth Gulowsen Celius, Anita Vatne, Espen Benjaminsen, Rune Midgard, Margitta T. Kampman, Nina Grytten, and Kjetil Bjornevik
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Adult ,Male ,Pediatrics ,medicine.medical_specialty ,Multiple Sclerosis ,Epidemiology ,Population ,Norwegian ,environmental risk factors ,socioeconomic status ,Multiple sclerosis ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Epidemiologi ,Odds Ratio ,medicine ,Humans ,Registries ,030212 general & internal medicine ,Sibling ,education ,Socioeconomic status ,Aged ,education.field_of_study ,Multippel sklerose ,business.industry ,Siblings ,Odds ratio ,Middle Aged ,language.human_language ,Confidence interval ,Logistic Models ,Social Class ,Neurology ,Risk factors ,language ,Educational Status ,Female ,epidemiology ,Neurology (clinical) ,Risikofaktorer ,business ,Original Research Papers ,030217 neurology & neurosurgery - Abstract
Background: The conflicting results from studies on socioeconomic status (SES) and multiple sclerosis (MS) risk might be due to a change in the distribution of environmental exposures over time or to methodological limitations in previous research. Objective: To examine the association between SES and MS risk during 50 years. Methods: We included patients registered in Norwegian MS registries and prevalence studies born between 1930 and 1979, and identified their siblings and parents using the Norwegian Population Registry. Information on education was retrieved from the National Education Registry, categorized into four levels (primary, secondary, undergraduate and graduate) and compared in patients and siblings using conditional logistic regression. Results: A total of 4494 MS patients and 9193 of their siblings were included in the analyses. Level of education was inversely associated with MS risk ( p trend Conclusion: Level of education was inversely associated with MS risk, and the estimates were similar in the earliest and latest birth cohorts.
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- 2017
14. Month of birth and risk of multiple sclerosis: confounding and adjustments
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Rune Midgard, Trygve Holmøy, Kjell-Morten Myhr, Øivind Torkildsen, Espen Benjaminsen, Margitta T. Kampman, Trond Riise, Jan Harald Aarseth, Elisabeth Gulowsen Celius, Kristin Ingeleiv Løken-Amsrud, and Nina Grytten
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Pediatrics ,medicine.medical_specialty ,VDP::Medisinske Fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803 ,Population ,Norwegian ,symbols.namesake ,medicine ,education ,education.field_of_study ,business.industry ,General Neuroscience ,Incidence (epidemiology) ,Multiple sclerosis ,Confounding ,Place of birth ,medicine.disease ,language.human_language ,Bonferroni correction ,VDP::Medical disciplines: 700::Health sciences: 800::Epidemiology medical and dental statistics: 803 ,symbols ,language ,Neurology (clinical) ,business ,Brief Communications ,Demography - Abstract
A month of birth effect on multiple sclerosis (MS) risk has been reported from different countries. Recent critics have suggested that this finding is caused by confounding and that adequately adjusting for year and place of birth would markedly reduce this effect. All inhabitants in Norway are registered in the Norwegian Population Registry (Statistics Norway), making this an ideal area for performing adjusted analyses. Using the entire Norwegian population born between 1930 and 1979 (n = 2,899,260), we calculated the excess between observed and expected number of births for each month for 6649 Norwegian MS patients, 5711 mothers, 5247 fathers, and 8956 unaffected siblings. The analyses were adjusted for year of birth and place of birth according to the 19 counties in Norway. An unadjusted analysis revealed 13% fewer MS births than expected in February (P = 0.0015; Bonferroni corrected P = 0.018), 10% more in April (P = 0.0083; Bonferroni corrected P = 0.0996) and 15% more in December (P = 0.00058; Bonferroni corrected P = 0.007). Adjustments for both year and place of birth significantly altered our results for February and December, but even after these adjustments there were still 10% more MS births than expected in April (P = 0.00796; Bonferroni corrected P = 0.096). MS patients had a higher incidence of April births than their siblings (Fisher-exact test; P = 0.011), mothers (Fisher-exact test; P = 0.004), and fathers (Fisher-exact test; P = 0.011) without MS. Adjustments for confounding significantly affected our results. However, even after adjustments, there appears to be a persistent higher than expected frequency of April births in the MS population. © 2014 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association.
- Published
- 2014
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