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Cody SL, Miller GH, Fazeli PL, Wang G, Li W, Goodin BR, Vance DE. Preventing Neurocognitive Decline in Adults Aging with HIV: Implications for Practice and Research. J Alzheimers Dis 2023; 95:753-768. [PMID: 37599532 DOI: 10.3233/jad-230203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Mild to moderate forms of neurocognitive impairment persist among people living with HIV (PLWH), despite being virally suppressed on antiretroviral therapy. PLWH are disproportionally impacted by physiological and psychosocial comorbidities compared to those without HIV. As adults live longer with HIV, the neurocognitive burden of physiological and psychosocial stressors can impair everyday functioning and may contribute to the development of neurodegenerative diseases such as Alzheimer's disease. This article outlines neurocognitive consequences of everyday stressors in PLWH. While some lifestyle factors can exacerbate inflammatory processes and promote negative neurocognitive health, novel interventions including the use of cannabinoids may be neuroprotective for aging PLWH who are at risk for elevated levels of inflammation from comorbidities. Studies of integrated neurocognitive rehabilitation strategies targeting lifestyle factors are promising for improving neurocognitive health, and may over time, reduce the risk of Alzheimer's disease in PLWH.
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Affiliation(s)
- Shameka L Cody
- Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL, USA
| | - Gabe H Miller
- Department of Sociology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Pariya L Fazeli
- School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ge Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Li
- Department of Clinical and Diagnostic Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Burel R Goodin
- Department of Anesthesiology, Washington University Pain Center, Washington University, St. Louis, MO, USA
| | - David E Vance
- School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA
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Saloner R, Lobo JD, Paolillo EW, Campbell LM, Letendre SL, Cherner M, Grant I, Heaton RK, Ellis RJ, Roesch SC, Moore DJ, Grant I, Letendre SL, Ellis RJ, Marcotte TD, Franklin D, McCutchan JA, Smith DM, Heaton RK, Atkinson JH, Dawson M, Fennema-Notestine C, Taylor MJ, Theilmann R, Gamst AC, Cushman C, Abramson I, Vaida F, Sacktor N, Rogalski V, Morgello S, Simpson D, Mintz L, McCutchan JA, Collier A, Marra C, Storey S, Gelman B, Head E, Clifford D, Al-Lozi M, Teshome M. Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model. AIDS Behav 2022; 26:1966-1979. [PMID: 34878634 PMCID: PMC9046348 DOI: 10.1007/s10461-021-03546-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2021] [Indexed: 11/12/2022]
Abstract
Despite the neurocognitive risks of aging with HIV, initial cross-sectional data suggest a subpopulation of older people with HIV (PWH) possess youthful neurocognition (NC) characteristic of SuperAgers (SA). Here we characterize longitudinal NC trajectories of older PWH and their convergent validity with baseline SA status, per established SuperAging criteria in PWH, and baseline biopsychosocial factors. Growth mixture modeling (GMM) identified longitudinal NC classes in 184 older (age ≥ 50-years) PWH with 1–5 years of follow-up. Classes were defined using ‘peak-age’ global T-scores, which compare performance to a normative sample of 25-year-olds. 3-classes were identified: Class 1Stable Elite (n = 31 [16.8%], high baseline peak-age T-scores with flat trajectory); Class 2Quadratic Average (n = 100 [54.3%], intermediate baseline peak-age T-scores with u-shaped trajectory); Class 3Quadratic Low (n = 53 [28.8%], low baseline peak-age T-scores with u-shaped trajectory). Baseline predictors of Class 1Stable Elite included SA status, younger age, higher cognitive and physiologic reserve, and fewer subjective cognitive difficulties. This GMM analysis supports the construct validity of SuperAging in older PWH through identification of a subgroup with longitudinally-stable, youthful neurocognition and robust biopsychosocial health.
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