5 results on '"Totté, M."'
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2. Validation of a Novel Multivariate Method of Defining HIV-Associated Cognitive Impairment
- Author
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Underwood, Jonathan, De Francesco, Davide, Cole, James H, Caan, Matthan W A, van Zoest, Rosan A, Schmand, Ben A, Sharp, David J, Sabin, Caroline A, Reiss, Peter, Winston, Alan Coolaboratori: Reiss P, Wit FWNM, Schouten J, Kooij KW, van Zoest RA, Elsenga BC, Janssen FR, Heidenrijk M, Zikkenheiner W, van der Valk M, Kootstra NA, Harskamp-Holwerda AM, Maurer I, Mangas Ruiz MM, Girigorie AF, Villaudy J, Frankin E, Pasternak A, Berkhout B, van der Kuyl T, Portegies P, Schmand BA, Geurtsen GJ, Ter Stege JA, Klein Twennaar M, Majoie CBLM, Caan MWA, Su T, Weijer K, Bisschop PHLT, Kalsbeek A, Wezel M, Visser I, Ruhé HG, Franceschi C, Garagnani P, Pirazzini C, Capri M, Dall'Olio F, Chiricolo M, Salvioli S, Hoeijmakers J, Pothof J, Prins M, Martens M, Moll S, Berkel J, Totté M, Kovalev S, Gisslén M, Fuchs D, Zetterberg H, Winston A, Underwood J, McDonald L, Stott M, Legg K, Lovell A, Erlwein O, Doyle N, Kingsley C, Sharp DJ, Leech R, Cole JH, Zaheri S, Hillebregt MMJ, Ruijs YMC, Benschop DP, Burger D, de Graaff-Teulen M, Guaraldi G, Bürkle A, Sindlinger T, Moreno-Villanueva M, Keller A, Sabin C, de Francesco D, Libert C, Dewaele S, Boffito M, Mallon P, Post F, Sachikonye M, Anderson J, Asboe D, Garvey L, Pozniak A, Vera J, Williams I, Campbell L, Yurdakul S, Okumu S, Pollard L, Otiko D, Phillips L, Laverick R, Fisher M, Clarke A, Bexley A, Richardson C, Macken A, Ghavani-Kia B, Maher J, Byrne M, Flaherty A, Mguni S, Clark R, Nevin-Dolan R, Pelluri S, Johnson M, Ngwu N, Hemat N, Jones M, Carroll A, Whitehouse A, Burgess L, Babalis D, Higgs C, Seah E, Fletcher S, Anthonipillai M, Moyes A, Deats K, Syed I, Matthews C., Underwood, Jonathan, De Francesco, Davide, Cole, James H, Caan, Matthan W A, van Zoest, Rosan A, Schmand, Ben A, Sharp, David J, Sabin, Caroline A, Reiss, Peter, Winston, Alan Coolaboratori: Reiss P, Wit FWNM, Schouten J, Kooij KW, van Zoest RA, Elsenga BC, Janssen FR, Heidenrijk M, Zikkenheiner W, van der Valk M, Kootstra NA, Harskamp-Holwerda AM, Maurer I, Mangas Ruiz MM, Girigorie AF, Villaudy J, Frankin E, Pasternak A, Berkhout B, van der Kuyl T, Portegies P, Schmand BA, Geurtsen GJ, Ter Stege JA, Klein Twennaar M, Majoie CBLM, Caan MWA, Su T, Weijer K, Bisschop PHLT, Kalsbeek A, Wezel M, Visser I, Ruhé HG, Franceschi C, Garagnani P, Pirazzini C, Capri M, Dall'Olio F, Chiricolo M, Salvioli S, Hoeijmakers J, Pothof J, Prins M, Martens M, Moll S, Berkel J, Totté M, Kovalev S, Gisslén M, Fuchs D, Zetterberg H, Winston A, Underwood J, McDonald L, Stott M, Legg K, Lovell A, Erlwein O, Doyle N, Kingsley C, Sharp DJ, Leech R, Cole JH, Zaheri S, Hillebregt MMJ, Ruijs YMC, Benschop DP, Burger D, de Graaff-Teulen M, Guaraldi G, Bürkle A, Sindlinger T, Moreno-Villanueva M, Keller A, Sabin C, de Francesco D, Libert C, Dewaele S, Boffito M, Mallon P, Post F, Sabin C, Sachikonye M, Winston A, Anderson J, Asboe D, Boffito M, Garvey L, Mallon P, Post F, Pozniak A, Sabin C, Sachikonye M, Vera J, Williams I, Winston A, Post F, Campbell L, Yurdakul S, Okumu S, Pollard L, Williams I, Otiko D, Phillips L, Laverick R, Fisher M, Clarke A, Vera J, Bexley A, Richardson C, Mallon P, Macken A, Ghavani-Kia B, Maher J, Byrne M, Flaherty A, Anderson J, Mguni S, Clark R, Nevin-Dolan R, Pelluri S, Johnson M, Ngwu N, Hemat N, Jones M, Carroll A, Whitehouse A, Burgess L, Babalis D, Winston A, Garvey L, Underwood J, Stott M, McDonald L, Boffito M, Asboe D, Pozniak A, Higgs C, Seah E, Fletcher S, Anthonipillai M, Moyes A, Deats K, Syed I, Matthews C., Molecular Genetics, Biomedical Engineering and Physics, Radiology and Nuclear Medicine, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, ACS - Microcirculation, AMS - Restoration & Development, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Neurovascular Disorders, Graduate School, AII - Infectious diseases, APH - Aging & Later Life, Medical Psychology, Amsterdam Neuroscience - Neurodegeneration, Global Health, Infectious diseases, APH - Mental Health, APH - Methodology, Commission of the European Communities, Imperial College Healthcare NHS Trust- BRC Funding, and National Institute for Health Research
- Subjects
Multivariate statistics ,medicine.medical_specialty ,COmorBidity in Relation to AIDS (COBRA) Collaboration and the Pharmacokinetic and clinical Observations in PePle over fiftY (POPPY) Study Group ,Immunology ,Human immunodeficiency virus (HIV) ,Audiology ,medicine.disease_cause ,Microbiology ,03 medical and health sciences ,0302 clinical medicine ,multivariate ,SDG 3 - Good Health and Well-being ,Neuroimaging ,Medicine and Health Sciences ,medicine ,Major Article ,OLDER-PEOPLE ,030212 general & internal medicine ,VALIDITY ,Cognitive impairment ,cognitive impairment ,Science & Technology ,neuroimaging ,SCORES ,business.industry ,Biology and Life Sciences ,HIV ,MEN ,Cognition ,Mental health ,White matter microstructure ,PREVALENCE ,3. Good health ,Infectious Diseases ,Oncology ,REGISTRATION ,business ,Life Sciences & Biomedicine ,Neurocognitive ,030217 neurology & neurosurgery - Abstract
Background The optimum method of defining cognitive impairment in virally suppressed people living with HIV is unknown. We evaluated the relationships between cognitive impairment, including using a novel multivariate method (NMM), patient– reported outcome measures (PROMs), and neuroimaging markers of brain structure across 3 cohorts. Methods Differences in the prevalence of cognitive impairment, PROMs, and neuroimaging data from the COBRA, CHARTER, and POPPY cohorts (total n = 908) were determined between HIV-positive participants with and without cognitive impairment defined using the HIV-associated neurocognitive disorders (HAND), global deficit score (GDS), and NMM criteria. Results The prevalence of cognitive impairment varied by up to 27% between methods used to define impairment (eg, 48% for HAND vs 21% for NMM in the CHARTER study). Associations between objective cognitive impairment and subjective cognitive complaints generally were weak. Physical and mental health summary scores (SF-36) were lowest for NMM-defined impairment (P < .05). There were no differences in brain volumes or cortical thickness between participants with and without cognitive impairment defined using the HAND and GDS measures. In contrast, those identified with cognitive impairment by the NMM had reduced mean cortical thickness in both hemispheres (P < .05), as well as smaller brain volumes (P < .01). The associations with measures of white matter microstructure and brain-predicted age generally were weaker. Conclusion Different methods of defining cognitive impairment identify different people with varying symptomatology and measures of brain injury. Overall, NMM-defined impairment was associated with most neuroimaging abnormalities and poorer self-reported health status. This may be due to the statistical advantage of using a multivariate approach., We have previously described a novel multivariate method (NMM) with theoretical statistical advantages over existing methods, which we assessed here in 3 cohorts of people living with HIV. Overall, NMM-defined impairment was associated with most neuroimaging abnormalities and poorer self-reported health status.
- Published
- 2019
3. Impact of comorbidity and ageing on health-related quality of life in HIV-positive and HIV-negative individuals
- Author
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Langebeek, Nienke, Kooij, Katherine W., Wit, Ferdinand W., Stolte, Ineke G., Sprangers, Mirjam A.G., Reiss, Peter, Nieuwkerk, Pythia T., Van Der Valk, M., Schouten, J., Van Zoest, R. A., Verheij, E., Verboeket, S. O., Elsenga, B. C., Prins, M., Van Der Loeff, M. F.Schim, Berkel, J., Totté, M., Kruijer, T., Del Grande, L., Gambier, C., Visser, G. R., May, L., Kovalev, S., Newsum, A., Dijkstra, M., Zaheri, S., Hillebregt, M. M.J., Ruijs, Y. M.C., Benschop, D. P., El Berkaoui, A., Zikkenheiner, W., Janssen, F. R., Kootstra, N. A., Harskamp-Holwerda, A. M., Maurer, I., Booiman, T., Mangas Ruiz, M. M., Girigorie, A. F., Boeser-Nunnink, B., Geerlings, S. E., Godfried, M. H., Goorhuis, A., Van Vugt, M., De Jong, J., Lips, P., De Jong, M., Verbraak, F. D., Schadé, A., Mulder, W. M.C., Anatomy and neurosciences, Medical psychology, Internal medicine, Surgery, APH - Aging & Later Life, Pediatric surgery, Ophthalmology, Psychiatry, APH - Health Behaviors & Chronic Diseases, Other departments, AII - Infectious diseases, APH - Mental Health, Medical Psychology, CCA -Cancer Center Amsterdam, Global Health, AII - Amsterdam institute for Infection and Immunity, and APH - Personalized Medicine
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Male ,0301 basic medicine ,Gerontology ,Aging ,Immunology ,Population ,HIV Infections ,Comorbidity ,03 medical and health sciences ,0302 clinical medicine ,Quality of life ,mental disorders ,Humans ,Immunology and Allergy ,Medicine ,Prospective Studies ,030212 general & internal medicine ,education ,Prospective cohort study ,Depression (differential diagnoses) ,Aged ,education.field_of_study ,Depression ,business.industry ,virus diseases ,Middle Aged ,medicine.disease ,030112 virology ,humanities ,Patient Health Questionnaire ,Infectious Diseases ,Cohort ,Quality of Life ,Female ,business ,Cohort study - Abstract
Background: HIV-infected individuals may be at risk for the premature onset of age-associated noncommunicable comorbidities. Being HIV-positive, having comorbidities and being of higher age may adversely impact health-related quality of life (HRQL). We investigated the possible contribution of HIV infection, comorbidities and age on HRQL and depression. Methods: HIV-infected individuals and uninfected controls from the AGEhIV Cohort Study were screened for the presence of comorbidities. They completed the Short Form 36-item Health Survey to assess HRQL and the nine-item Patient Health Questionnaire to assess depression. Linear and logistic regression were used to investigate to which extent comorbidities, aging and HIV infection were independently associated with HRQL and depression. Results: HIV-infected individuals (n = 541) reported significantly worse physical and mental HRQL and had a higher prevalence of depression than HIV-uninfected individuals (n = 526). A higher number of comorbidities and HIV-positive status were each independently associated with worse physical HRQL, whereas HIV-positive status and younger age were independently associated with worse mental HRQL and more depression. The difference in physical HRQL between HIV-positive and HIV-negative individuals did not become greater with a higher number of comorbidities or with higher age. Conclusion: In a cohort of largely well suppressed HIV-positive participants and HIV-negative controls, HIV-positive status was significantly and independently associated with worse physical and mental HRQL and with an increased likelihood of depression. Our finding that a higher number of comorbidities was independently associated with worse physical HRQL reinforces the importance to optimize prevention and management of comorbidities as the HIV-infected population continues to age.
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- 2017
4. Les sols observés par les satellites : exemples de modèles et d'applications
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Henquin, B., Totté, M., and Escadafal, Richard (ed.)
- Subjects
METHODE D'ANALYSE ,MORPHOPEDOLOGIE ,MODELE NUMERIQUE DE TERRAIN ,RESULTAT ANALYTIQUE - Abstract
L'analyse du milieu physique se base en première approche sur la perception du relief et de la géomorphologie. Elle s'appuie notamment sur l'exploitation visuelle de photos aériennes mais, d'après KILIAN (1990), elle ne se prête pas encore aux traitements numériques, car elle fait appel à des processus de photo-interprétation non automatisables. L'objectif de l'article est de présenter une méthode d'interprétation semi-automatique du modelé en facettes morphologiques à partir du traitement d'un modèle numérique de terrain (MNT) Spot. Trois variables dérivées du MNT sont retenues : la relation spatiale (Rs), la relation altitudinale (Ra) et les pentes. Les deux premières variables traduisent la relation fonctionnelle entre un point du modelé et son exutoire dans le réseau hydrographique. La carte des facettes morphologiques obtenue est comparée à une cartographie morphopédologique de référence. Les auteurs discutent des potentialités et des limites d'une telle approche pour la caractérisation du milieu physique et pour l'amélioration des procédures de sondage dans le cadre des statistiques agricoles. (Résumé d'auteur)
- Published
- 1993
5. Amount of self-reported illicit drug use compared to quantitative hair test results in community-recruited young drug users in Amsterdam.
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Welp EA, Bosman I, Langendam MW, Totté M, Maes RA, and van Ameijden EJ
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- Adolescent, Adult, Cohort Studies, Female, Hair Color, Humans, Illicit Drugs, Logistic Models, Male, Netherlands, Hair chemistry, Substance Abuse Detection methods, Substance-Related Disorders diagnosis
- Abstract
Aims: To assess the dose-effect relationship between self-reported drug intake and the concentration of drugs and/or their metabolites in hair and to examine factors that may mediate this relationship., Design and Setting: A cohort study among young drug users (YDU) in Amsterdam, the Netherlands, which began in July 2000. At intake, YDU were asked to report their average drug intake over a 2-month period. A hair sample was taken and then analysed for cocaine, benzoylecgonine (BE), morphine, 6-monoacetylmorphine and methadone. Weighted least-squares regression analysis was used to model hair-test results as a function of reported drug use., Participants: Subjects were 95 YDU (using cocaine, heroin, methadone and/or amphetamines at least 3 days/week) aged 18-30 residing in Amsterdam in 2000-2001., Findings: Of the 95 YDU, one-third were women; mean age was almost 26; 30% had black hair, 33% blond hair and 37% brown hair. Cocaine use was reported by 92%, heroin by 75% and methadone by 64% of participants. All hair samples contained one or more drugs. Crude correlation coefficients between reported drug doses and drug concentrations in hair ranged between 0.45 and 0.59. The multivariate regression analysis showed that, for one or more types of drug, black-haired people, women and non-western European people had relatively high drug concentrations in hair (significant slope effects). The corresponding multivariate correlation coefficients ranged between 0.63 and 0.87., Conclusions: Hair testing can be used to quantify drug use in epidemiological studies, given that factors such as hair colour and sex are taken into account.
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- 2003
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