5 results on '"Zikkenheiner, W."'
Search Results
2. Do people living with HIV experience greater age advancement than their HIV-negative counterparts?
- Author
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De Francesco, Davide, Wit, Ferdinand W., Burkle, Alexander, Oehlke, Sebastian, Kootstra, Neeltje A., Winston, Alan, Franceschi, Claudio, Garagnani, Paolo, Pirazzini, Chiara, Libert, Claude, Grune, Tilman, Weber, Daniela, Jansen, Eugene H. J. M., Sabin, Caroline A., Reiss, Peter, Reiss, P., Winston, A., Wit, F. W., Prins, M., van der Loeff, M. F. Schim, Schouten, J., Schmand, B., Geurtsen, G. J., Sharp, D. J., Caan, M. W. A., Majoie, C., Villaudy, J., Berkhout, B., Kootstra, N. A., Gisslen, M., Pasternak, A., Sabin, C. A., Guaraldi, G., Burkle, A., Libert, C., Franceschi, C., Kalsbeek, A., Fliers, E., Hoeijmakers, J., Pothof, J., van der Valk, M., Bisschop, P. H., Portegies, P., Zaheri, S., Burger, D., Cole, J. H., Biirkle, A., Zikkenheiner, W., Janssen, F. R., Underwood, J., Kooij, K. W., van Zoest, R. A., Doyle, N., van der Loeff, M. Schim, Schmand, B. A., Verheij, E., Verboeket, S. O., Elsenga, B. C., Hillebregt, M. M. J., Ruijs, Y. M. C., Benschop, D. P., Tembo, L., McDonald, L., Stott, M., Legg, K., Lovell, A., Erlwein, O., Kingsley, C., Norsworthy, P., Mullaney, S., Kruijer, T., del Grande, L., Olthof, V, Visser, G. R., May, L., Verbraak, F., Demirkaya, N., Visser, I, Majoie, C. B. L. M., Su, T., Leech, R., Huguet, J., Frankin, E., van der Kuyl, A., Weijer, K., Siteur-Van Rijnstra, E., Harskamp-Holwerda, A. M., Maurer, I, Ruiz, M. M. Mangas, Girigorie, A. F., Boeser-Nunnink, B., Kals-Beek, A., Bisschop, P. H. L. T., de Graaff-Teulen, M., Dewaele, S., Garagnani, P., Pirazzini, C., Capri, M., Dall'Olio, F., Chiricolo, M., Salvioli, S., Fuchs, D., Zetterberg, H., Weber, D., Grune, T., Jansen, E. H. J. M., De Francesco, D., Sindlinger, T., Oehlke, S., Global Health, AII - Infectious diseases, APH - Aging & Later Life, Experimental Immunology, ANS - Neurodegeneration, AMS - Restoration & Development, Medical Psychology, and APH - Mental Health
- Subjects
Male ,0301 basic medicine ,CYTOMEGALOVIRUS ,HIV Infections ,DISEASE ,0302 clinical medicine ,Biomarkers of aging ,Medicine and Health Sciences ,Immunology and Allergy ,030212 general & internal medicine ,the Co-morBidity in Relation to AIDS (COBRA) Collaboration ,POPULATION ,Immunodeficiency ,education.field_of_study ,premature aging ,virus diseases ,11 Medical And Health Sciences ,Middle Aged ,Hepatitis B ,SOUTH-AFRICA ,Infectious Diseases ,Anti-Retroviral Agents ,Cohort ,Female ,Life Sciences & Biomedicine ,medicine.drug ,Adult ,Premature aging ,medicine.medical_specialty ,BIOMARKERS ,Immunology ,Population ,biomarkers of aging ,17 Psychology And Cognitive Sciences ,03 medical and health sciences ,Acquired immunodeficiency syndrome (AIDS) ,Virology ,ddc:570 ,Internal medicine ,medicine ,Humans ,accelerated aging ,education ,Aged ,accelerated aging, aging, biological age, biomarkers of aging, HIV, premature aging ,Science & Technology ,business.industry ,aging ,Biology and Life Sciences ,HIV ,06 Biological Sciences ,medicine.disease ,COMORBIDITIES ,biological age ,INFECTED INDIVIDUALS ,IMMUNOGLOBULIN-G ANTIBODY ,PROTEASE INHIBITORS ,Cross-Sectional Studies ,030104 developmental biology ,RISK-FACTORS ,business ,Saquinavir - Abstract
Objectives: Despite successful antiretroviral (ARV) therapy, people living with HIV (PLWH) may show signs of premature/accentuated aging. We compared established biomarkers of aging in PLWH, appropriately-chosen HIV-negative individuals, and blood donors, and explored factors associated with biological age advancement.Design: Cross-sectional analysis of 134 PLWH on suppressive ARV therapy, 79 lifestyle-comparable HIV-negative controls aged ≥45 years from the Co-morBidity in Relation to AIDS (COBRA) cohort, and 35 age-matched blood donors (BD).Methods: Biological age was estimated using a validated algorithm based on ten biomarkers. Associations between ‘age advancement’ (biological minus chronological age) and HIV status/parameters, lifestyle, cytomegalovirus (CMV), hepatitis B (HBV) and hepatitis C virus (HCV) infections were investigated using linear regression.Results: The average (95% CI) age advancement was greater in both HIV-positive [13.2 (11.6, 14.9) years] and HIV-negative [5.5 (3.8, 7.2) years] COBRA participants compared to BD [-7.0 (-4.1, -9.9) years, both p's < 0.001)], but also in HIV-positive compared to HIV-negative participants (p < 0.001). Chronic HBV, higher anti-CMV IgG titer and CD8+ T-cell count were each associated with increased age advancement, independently of HIV-status/group. Among HIV-positive participants, age advancement was increased by 3.5 (0.1, 6.8) years among those with nadir CD4+ < 200 cells/μL and by 0.1 (0.06, 0.2) years for each additional month of exposure to saquinavir.Conclusions: Both treated PLWH and lifestyle-comparable HIV-negative individuals show signs of age advancement compared to BD, to which persistent CMV, HBV co-infection and CD8+ T-cell activation may have contributed. Age advancement remained greatest in PLWH and was related to prior immunodeficiency and cumulative saquinavir exposure. published
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- 2019
3. 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.
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- 2019
4. 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
- Subjects
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
5. Validation of a Novel Multivariate Method of Defining HIV-Associated Cognitive Impairment
- Author
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Underwood, J, de Francesco, D, Cole, JH, Caan, MWA, van Zoest, RA, Schmand, BA, Sharp, DJ, Sabin, CA, Reiss, P, Winston, A, Wit, FWNM, Schouten, J, Kooij, KW, Elsenga, BC, Janssen, FR, Heidenrijk, M, Zikkenheiner, W, van der Valk, M, Kootstra, NA, Harskamp-Holwerda, AM, Maurer, I, Ruiz, MMM, Girigorie, AF, Villaudy, J, Frankin, E, Pasternak, A, Berkhout, B, van der Kuyl, T, Portegies, P, Geurtsen, GJ, ter Stege, JA, Twennaar, MK, Majoie, CBLM, Su, T, Weijer, K, Bisschop, PHLT, Kalsbeek, A, Wezel, M, Visser, I, Ruhe, 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, Totte, M, Kovalev, S, Gisslen, M, Fuchs, D, Zetterberg, H, McDonald, L, Stott, M, Legg, K, Lovell, A, Erlwein, O, Doyle, N, Kingsley, C, Leech, R, Zaheri, S, Hillebregt, MMJ, Ruijs, YMC, Benschop, DP, Burger, D, de Graaff-Teulen, M, Guaraldi, G, Buerkle, A, Sindlinger, T, Moreno-Villanueva, M, Keller, A, Sabin, C, 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, J, de Francesco, D, Cole, JH, Caan, MWA, van Zoest, RA, Schmand, BA, Sharp, DJ, Sabin, CA, Reiss, P, Winston, A, Wit, FWNM, Schouten, J, Kooij, KW, Elsenga, BC, Janssen, FR, Heidenrijk, M, Zikkenheiner, W, van der Valk, M, Kootstra, NA, Harskamp-Holwerda, AM, Maurer, I, Ruiz, MMM, Girigorie, AF, Villaudy, J, Frankin, E, Pasternak, A, Berkhout, B, van der Kuyl, T, Portegies, P, Geurtsen, GJ, ter Stege, JA, Twennaar, MK, Majoie, CBLM, Su, T, Weijer, K, Bisschop, PHLT, Kalsbeek, A, Wezel, M, Visser, I, Ruhe, 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, Totte, M, Kovalev, S, Gisslen, M, Fuchs, D, Zetterberg, H, McDonald, L, Stott, M, Legg, K, Lovell, A, Erlwein, O, Doyle, N, Kingsley, C, Leech, R, Zaheri, S, Hillebregt, MMJ, Ruijs, YMC, Benschop, DP, Burger, D, de Graaff-Teulen, M, Guaraldi, G, Buerkle, A, Sindlinger, T, Moreno-Villanueva, M, Keller, A, Sabin, C, 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, and Matthews, C
- 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.
- Published
- 2019
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