Metabolic Risk Factors as Differential Predictors of Profiles of Neurocognitive Impairment Among Older HIV+ and HIV− Adults: An Observational Study

Author:

Pasipanodya Elizabeth C1,Montoya Jessica L2,Campbell Laura M3,Hussain Mariam A3,Saloner Rowan3,Paolillo Emily M3,Jeste Dilip V4,Letendre Scott L2,McCutchan J Allen2,Heaton Robert K2,Moore David J2

Affiliation:

1. Santa Clara Valley Medical Center, Rehabilitation Research Center, San Jose, CA, USA

2. University of California, San Diego, HIV Neurobehavioral Research Program, San Diego, CA, USA

3. San Diego State University/University of California,San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA

4. University of California, San Diego, Sam and Rose Stein Institute on Aging, La Jolla, CA, USA

Abstract

Abstract Objective Neurocognitive performance among older persons, including those living with HIV (people living with HIV [PLWH]), exhibits significant heterogeneity, suggesting subpopulations with differing profiles of neurocognitive impairment (NCI). Metabolic factors are associated with NCI, but their relationships to cluster-derived NCI profiles are unknown. Method Participants (144 PLWH and 102 HIV uninfected) aged 50+ years completed a neuropsychological battery assessing seven cognitive domains. Latent class analysis (LCA) identified NCI profiles separately by HIV serostatus and in a combined sample. Obtained classes were examined against the Montreal Cognitive Assessment (MoCA) and diagnoses of HIV-associated neurocognitive disorders (HAND). Multinomial regression identified metabolic predictors of classification. Results LCA identified three latent classes in each participant sample: Class1Multidomain NCI (high probability of impairment across multiple domains), Class 2Learning & Recall NCI (high probability of impairment in learning and recall), and Class 3NC Unimpaired (low probability of NCI across all domains). Severity of NCI implied by classes corresponded with MoCA scores and HAND diagnoses. In analyses on the combined sample, compared to HIV-uninfected individuals, PLWH were more likely to be in Class1Multidomain NCI. Among PLWH, those with dyslipidemia and hypertension had greater odds of classification in Class 1Multidomain NCI while those with central obesity had higher odds of classification in Class 2Learning & Recall NCI; metabolic syndrome approached significance as a differential predictor. Regardless of HIV status, individuals with diabetes were more likely to be in Class 1Multidomain NCI. Conclusions Metabolic risk factors confer heightened risk of NCI in HIV infection. Interventions to reduce metabolic risk may improve neurocognitive outcomes among PLWH.

Funder

NIAAA

NIDA

Interdisciplinary Research Fellowship in NeuroAIDS

Successfully Aging Seniors with HIV

Multi-Dimensional Successful Aging Among HIV-Infected Adults

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health,Clinical Psychology,Neuropsychology and Physiological Psychology,General Medicine

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