Cognitive differences associated with HIV serostatus and antiretroviral therapy use in a population-based sample of older adults in South Africa.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
06 10 2020
06 10 2020
Historique:
received:
10
04
2020
accepted:
15
09
2020
entrez:
7
10
2020
pubmed:
8
10
2020
medline:
9
3
2021
Statut:
epublish
Résumé
Previous clinical studies have reported adverse cognitive outcomes for people living with HIV (PLWH), but there are no population-based studies comparing cognitive function between older PLWH and comparators without HIV in sub-Saharan Africa. We analyzed baseline data of 40 + years-old participants in "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI) cohort. We measured cognition using a battery of conventional instruments assessing orientation, immediate- and delayed-recall, and numeracy (N = 4560), and the Oxford Cognitive Screen [OCS]-Plus, a novel instrument for low-literacy populations, assessing memory, language, visual-spatial ability, and executive functioning (N = 1997). Linear regression models comparing cognitive scores between participants with and without HIV were adjusted for sex, education, age, country of birth, father's occupation, ever-consumed alcohol, and asset index. PLWH scored on average 0.06 (95% CI 0.01-0.12) standard deviation (SD) units higher on the conventional cognitive function measure and 0.02 (95% CI - 0.07 to 0.04) SD units lower on the OCS-Plus measure than HIV-negative participants. We found higher cognitive function scores for PLWH compared to people without HIV when using a conventional measure of cognitive function but not when using a novel instrument for low-literacy settings.
Identifiants
pubmed: 33024208
doi: 10.1038/s41598-020-73689-7
pii: 10.1038/s41598-020-73689-7
pmc: PMC7539005
doi:
Substances chimiques
Anti-Retroviral Agents
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
16625Subventions
Organisme : Wellcome Trust
ID : 085477/B/08/Z
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : T32-AI007433
Pays : United States
Organisme : NIAID NIH HHS
ID : R01-AI124389
Pays : United States
Organisme : FIC NIH HHS
ID : D43-TW009775
Pays : United States
Organisme : NIAID NIH HHS
ID : R01-AI112339
Pays : United States
Organisme : NICHD NIH HHS
ID : R01-HD084233
Pays : United States
Organisme : NIAID NIH HHS
ID : T32 AI007433
Pays : United States
Organisme : Wellcome Trust
ID : 069683/Z/02/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 085477/Z/08/Z
Pays : United Kingdom
Organisme : FIC NIH HHS
ID : D43 TW009775
Pays : United States
Organisme : NIA NIH HHS
ID : P01-AG41710
Pays : United States
Organisme : NIA NIH HHS
ID : 5P01AG041710-05
Pays : United States
Organisme : Wellcome Trust
ID : 058893/Z/99/A
Pays : United Kingdom
Références
McArthur, J. C., Steiner, J., Sacktor, N. & Nath, A. Human immunodeficiency virus-associated neurocognitive disorders: mind the gap. Ann Neurol. 67(6), 699–714 (2010).
pubmed: 20517932
Eggers, C. et al. HIV-1-associated neurocognitive disorder: epidemiology, pathogenesis, diagnosis, and treatment. J Neurol. 264(8), 1715–1727 (2017).
doi: 10.1007/s00415-017-8503-2
Robertson, K. R. et al. The prevalence and incidence of neurocognitive impairment in the HAART era. AIDS. 21(14), 1915–1921 (2007).
doi: 10.1097/QAD.0b013e32828e4e27
Sheppard, D. P. et al. Does older age confer an increased risk of incident neurocognitive disorders among persons living with HIV disease?. Clin Neuropsychol. 29(5), 656–677 (2015).
doi: 10.1080/13854046.2015.1077995
Mogambery, J. C., Dawood, H., Wilson, D. & Moodley, A. HIV-associated neurocognitive disorder in a KwaZulu-Natal HIV clinic: a prospective study. S. Afr. J. HIV Med. 18(1), 732 (2017).
doi: 10.4102/sajhivmed.v18i1.732
Joska, J. A. et al. Characterization of HIV-associated neurocognitive disorders among individuals starting antiretroviral therapy in South Africa. AIDS Behav. 15(6), 1197–1203 (2011).
doi: 10.1007/s10461-010-9744-6
Habib, A. G. et al. Neurocognitive impairment in HIV-1-infected adults in Sub-Saharan Africa: a systematic review and meta-analysis. Int. J. Infect. Dis. 17(10), e820-831 (2013).
doi: 10.1016/j.ijid.2013.06.011
The World Bank. Antiretroviral therapy coverage (% of people living with HIV). (2016).
The World Health Organization. Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection: recommendations for a public health approach. Geneva (2016).
Heaton, R. K. et al. HIV-associated neurocognitive disorders before and during the era of combination antiretroviral therapy: differences in rates, nature, and predictors. J Neurovirol. 17(1), 3–16 (2011).
doi: 10.1007/s13365-010-0006-1
Asiimwe, S. B., Kanyesigye, M., Bwana, B., Okello, S. & Muyindike, W. Predictors of dropout from care among HIV-infected patients initiating antiretroviral therapy at a public sector HIV treatment clinic in sub-Saharan Africa. BMC Infect. Dis. 16, 43 (2016).
doi: 10.1186/s12879-016-1392-7
Kang, D. H., Boss, L. & Clowtis, L. Social support and cognition: early childhood versus older adulthood. West J. Nurs. Res. 38(12), 1639–1659 (2016).
doi: 10.1177/0193945916655796
Ardila, A. et al. Illiteracy: the neuropsychology of cognition without reading. Arch. Clin. Neuropsychol. 25(8), 689–712 (2010).
doi: 10.1093/arclin/acq079
Contador, I. et al. Impact of literacy and years of education on the diagnosis of dementia: a population-based study. J. Clin. Exp. Neuropsychol. 39(2), 112–119 (2017).
doi: 10.1080/13803395.2016.1204992
Humphreys, G. W. et al. Cognitive function in low-income and low-literacy settings: validation of the tablet-based Oxford Cognitive screen in the health and aging in Africa: a longitudinal study of an INDEPTH community in South Africa (HAALSI). J. Gerontol. B Psychol. Sci. Soc. Sci. 72(1), 38–50 (2017).
doi: 10.1093/geronb/gbw139
Gomez-Olive, F. X. et al. Cohort profile: health and ageing in Africa: a longitudinal study of an INDEPTH community in South Africa (HAALSI). Int. J. Epidemiol. 47(3), 689–690j (2018).
doi: 10.1093/ije/dyx247
Payne, C. F., Gomez-Olive, F. X., Kahn, K. & Berkman, L. Physical function in an aging population in rural South Africa: findings from HAALSI and cross-national comparisons with HRS sister studies. J. Gerontol. B Psychol. Sci. Soc. Sci. 72(4), 665–679 (2017).
doi: 10.1093/geronb/gbx030
Manne-Goehler, J. et al. The ART advantage: health care utilization for diabetes and hypertension in rural South Africa. J. Acquir. Immune Defic. Syndr. 75(5), 561–567 (2017).
doi: 10.1097/QAI.0000000000001445
Kobayashi, L. C. et al. Cognitive function and impairment in older, rural South African adults: evidence from “health and aging in Africa: a longitudinal study of an INDEPTH community in rural South Africa”. Neuroepidemiol 52(1–2), 32–40 (2019).
doi: 10.1159/000493483
Manne-Goehler, J. et al. ART denial: results of a home-based study to validate self-reported antiretroviral use in rural South Africa. AIDS Behav. 23(8), 2072–2078 (2019).
doi: 10.1007/s10461-018-2351-7
Kobayashi, L. C. et al. Childhood deprivation and later-life cognitive function in a population-based study of older rural South Africans. Soc. Sci. Med. 190, 20–28 (2017).
doi: 10.1016/j.socscimed.2017.08.009
Ofstedal, M.B., Fisher, G.G., Herzog, A.R., HRS health working group: documentation of cognitive functioning measures in the health and retirement study. Ann. Arbor (2005).
Sonnega, A. et al. Cohort profile: the health and retirement study (HRS). Int. J. Epidemiol. 43, 576–585 (2014).
doi: 10.1093/ije/dyu067
Weir, D., Lay, M. & Langa, K. Economic development and gender inequality in cognition: a comparison of China and India, and of SAGE and the HRS sister studies. J. Econ. Ageing. 4, 114–125 (2014).
doi: 10.1016/j.jeoa.2014.08.002
Folstein, M., Folstein, S., McHugh, P. ‘Mini-mental state’. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res.12(3), 189–198 (1975).
Brandt, J., Spencer, M. & Folstein, M. The telephone interview for cognitive status. Neuropsychiatr. Neuropsychol. Behav. Neurol. 1, 111–117 (1988).
Muthèn, L. K., Muthèn, B. O. Examples: confirmatory factor analysis and structural equation modeling. Mplus User's Guide. (2017).
Farrell, M.T., Kobayashi, L.C., Montana, L., Wagner, R.G., Demeyere, N., Berkman, L.F. (2020) Education disparity partially explains cognitive gender differences in older rural South Africans. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. (Online ahead of print).
Kobayashi, L. C., Frank, S., Riumallo-Herl, C., Canning, D. & Berkman, L. Socioeconomic gradients in chronic disease risk behaviors in a population-based study of older adults in rural South Africa. Int. J. Public Health. 64(1), 135–145 (2019).
doi: 10.1007/s00038-018-1173-8
Beaujean, A. A. Factor analysis using R. Pract Assess Res Eval. 18(4), 1 (2013).
Zhang, Z. Multiple imputation with multivariate imputation by chained equation (MICE) package. Ann. Transl. Med. 4(2), 30 (2016).
pubmed: 26889483
pmcid: 4731595
He, Y. Missing data analysis using multiple imputation: getting to the heart of the matter. Circ. Cardiovasc. Qual. Outcomes. 3(1), 98–105 (2010).
doi: 10.1161/CIRCOUTCOMES.109.875658
Morris, T. P., White, I. R. & Royston, P. Tuning multiple imputation by predictive mean matching and local residual draws. BMC Med. Res. Methodol. 14, 75 (2014).
doi: 10.1186/1471-2288-14-75
Nakasujja, N., Allebeck, P., Agren, H., Musisi, S. & Katabira, E. Cognitive dysfunction among HIV positive and HIV negative patients with psychosis in Uganda. PLoS ONE 7(9), e44415 (2012).
doi: 10.1371/journal.pone.0044415
Okello, S. et al. Association between HIV and blood pressure in adults and role of body weight as a mediator: cross-sectional study in Uganda. J. Clin. Hypertens. (Greenwich). 19(11), 1181–1191 (2017).
doi: 10.1111/jch.13092
Negin, J. et al. Inequality in health status among older adults in Africa: the surprising impact of anti-retroviral treatment. J. Cross Cult. Gerontol. 28, 491–493 (2013).
doi: 10.1007/s10823-013-9215-4
Peltzer, K. et al. Universal health coverage in emerging economies: findings on health care utilization by older adults in China Ghana, India, Mexico, the Russian Federation, and South Africa. Global Health Action. 7(1), 25314 (2014).
doi: 10.3402/gha.v7.25314
Levine, R. & Oomman, N. Global HIV/AIDS funding and health systems: searching for the win-win. J. Acquir. Immune Defic. Syndr. 52(Suppl 1), S3–S5 (2009).
doi: 10.1097/QAI.0b013e3181bbc807
Yu, D., Souteyrand, Y., Banda, M. A., Kaufman, J. & Perriens, J. H. Investment in HIV/AIDS programs: does it help strengthen health systems in developing countries?. Global Health. 4(8), 1 (2008).
Trunfio, M. et al. Diagnostic accuracy of new and old cognitive screening tools for HIV-associated neurocognitive disorders. HIV Med. 19(7), 455–464 (2018).
doi: 10.1111/hiv.12622
Underwood, J. Winston A (2016) Guidelines for evaluation and management of cognitive disorders in HIV-positive individuals. Curr. HIV/AIDS Rep. 13, 235–240 (2016).
doi: 10.1007/s11904-016-0324-x