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Risk Factors of Asymptomatic Neurocognitive Impairment in People Living with HIV in an Indian Cohort

Background  Asymptomatic neurocognitive impairment (ANI) in people living with HIV (PLWH) can lower quality of life, reduce drug compliance, increase unemployment, and reduce life expectancy. Objective  This study was aimed to identify risk factors of ANI in PLWH in an Indian cohort and explore the...

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Detalles Bibliográficos
Autores principales: Gupta, Salil, Venugopal, Nirmala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Medical and Scientific Publishers Private Ltd. 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195954/
https://www.ncbi.nlm.nih.gov/pubmed/32367976
http://dx.doi.org/10.1055/s-0040-1702799
Descripción
Sumario:Background  Asymptomatic neurocognitive impairment (ANI) in people living with HIV (PLWH) can lower quality of life, reduce drug compliance, increase unemployment, and reduce life expectancy. Objective  This study was aimed to identify risk factors of ANI in PLWH in an Indian cohort and explore the usefulness of Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment Score (MoCA) as screening tools. Methods  PLWH under follow-up at an antiretroviral treatment center who were 18 to 60 years were included in this study. Patients were excluded if they had any cognitive symptoms, previous history of any central nervous system (CNS) pathology, or any systemic illness. Included patients were subjected to domain wise standardized neuropsychological battery. Six domains were screened including language, attention, speed, memory, sensory motor skills, and executive. Abnormal dysfunctional scores in at least two domains were taken as suggestive of ANI. The two groups thus created, ANI and normal cognition, were evaluated for differences. Variables evaluated as risk factors included age, sex, handedness, education, presence of at least one vascular risk factor, duration of disease, biochemical profile, cluster of differentiation 4 (CD4) count (both current and nadir) HIV viral load, and use of antiretroviral therapy (ART) and its CNS penetration effectiveness (CPE). MMSE and MoCA were also done in all patients. Statistical Analysis  Regression analysis was used to find out significant variables. MMSE and MoCA scores were correlated using Spearman’s correlation coefficient. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were also determined Results  Three hundred and eighty-four patients were included out of which 185 (48%) had ANI. In the multivariate regression analysis, female sex with odds Ratio (OR) of 1.89 (95% confidence interval [CI]: 1.21–2.79, p < 0.01), education below 10 years with OR = 2.43 (95% CI: 1.56–3.80, p < 0.01) and presence of at least one vascular risk factor with OR = 2.52 (95% CI: 1.67–3.80, p < 0.01) were found to be significant. Both MMSE and MoCA had a high PPV (0.99 and 0.97, respectively) but poor NPV (0.64 and 0.75) below a score of 25 with MoCA scoring slightly better. Both, MMSE and MoCA correlated well with each other. Conclusion  Nearly half of our patients had ANI, despite being on ART. Majority of patients were on ART with CPE > 7 and had relatively preserved immune status. Female HIV patients with at least one vascular risk factor and less than 10 years of formal education were found to be at risk for ANI. MMSE and MoCA are not good screening tools to identify this condition.