ArticleAIDS (London, England)2019
Cross-sectional analysis of cognitive function using multivariate normative comparisons in men with HIV disease.
Article in AIDS (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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16 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- The Prevalence of Frascati-Criteria-Based HIV-Associated Neurocognitive Disorder (HAND) in HIV-Infected Adults: A Systematic Review and Meta-Analysis.Frontiers in neurology · 2020Pooled it
- The Changing Spectrum of Cognitive Impairment in People with HIV; Establishment and Updates of the International HIV-Cognition Working Group.Current HIV/AIDS reports · 2026Review
- Self-reported neurocognitive complaints in the Swiss HIV Cohort Study: a viral genome-wide association study.Brain communications · 2024Article
- Behavioral and histological assessment of a novel treatment of neuroHIV in humanized mice.Research square · 2023Article
- Resting state network connectivity alterations in HIV: Parallels with aging.Human brain mapping · 2023Article
- Dynamic impairment classification through arrayed comparisons.Statistics in medicine · 2023Article
- Differential Effects of AIDS and Chronic Human Immunodeficiency Virus Infection on Gray Matter Volume.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Tablet-Based Cognitive Impairment Screening for Adults With HIV Seeking Clinical Care: Observational Study.JMIR mental health · 2021Article
- Using HIV neuropsychological classification methods to predict employment status.AIDS (London, England) · 2021Article
- Rates of cognitive impairment in a South African cohort of people with HIV: variation by definitional criteria and lack of association with neuroimaging biomarkers.Journal of neurovirology · 2021Article
- Reductions in Gray Matter Linked to Epigenetic HIV-Associated Accelerated Aging.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Longitudinal multivariate normative comparisons.Statistics in medicine · 2021Article
- Gray matter volumes discriminate cognitively impaired and unimpaired people with HIV.NeuroImage. Clinical · 2021Article
- Studying the neuropsychological sequelae of SARS-CoV-2: lessons learned from 35 years of neuroHIV research.Journal of neurovirology · 2020Review
- Lifetime antiretroviral exposure and neurocognitive impairment in HIV.Journal of neurovirology · 2020Article
- Quantifying diagnostic accuracy improvement of new biomarkers for competing risk outcomes.Biostatistics (Oxford, England) · 2020Article
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13 authors at 6 institutions in 1 country.
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Abstract
backgroundPrevalence estimates of cognitive impairment in HIV disease vary widely. Here we used multivariate normative comparison (MNC) with identify individuals with impaired cognition, and to compare the results with those using the Frascati and Gisslén criteria.
methodsThe current project used data collected before October 2014 from bisexual/gay men from the Multicenter AIDS Cohort Study. A total of 2904 men (mean age 39.7 years, 52.7% seropositive) had complete data in six cognitive domains at their first neuropsychological evaluation. T-scores were computed for each domain and the MNC was applied to detect impairment among seronegative and seropositive groups.
resultsThe MNC classified 6.26% of seronegative men as being impaired using a predetermined 5% false discovery rate. By contrast, the Frascati and the Gisslén criteria identified 24.54 and 11.36% of seronegative men as impaired. For seropositive men, the percentage impairment was 7.45, 25.73, and 11.69%, respectively, by the MNC, Frascati and Gisslén criteria. When we used seronegative men without medical comorbidities as the control group, the MNC, the Frascati and the Gisslén criteria identified 5.05, 27.07, and 4.21% of the seronegative men, and 4.34, 30.95, and 4.48% of the seropositive men as having cognitive impairment. For each method, serostatus was not associated with cognitive impairment.
conclusionThe MNC controls the false discovery rate and therefore avoids the low specificity that characterizes the Frascati and Gisslén criteria. More research is needed to evaluate the sensitivity of the MNC method in a seropositive population that may be sicker and older than the current study sample and that includes women.
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