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识别伴有 HIV 的成人衰老过程中的青少年神经认知轨迹:潜在增长混合模型。

Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model.

机构信息

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

Department of Psychiatry, HIV Neurobehavioral Research Program, University of California, San Diego, 220 Dickinson Street, Suite B, Mail Code 8231, San Diego, CA, 92103-8231, USA.

出版信息

AIDS Behav. 2022 Jun;26(6):1966-1979. doi: 10.1007/s10461-021-03546-9. Epub 2021 Dec 8.

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 1 (n = 31 [16.8%], high baseline peak-age T-scores with flat trajectory); Class 2 (n = 100 [54.3%], intermediate baseline peak-age T-scores with u-shaped trajectory); Class 3 (n = 53 [28.8%], low baseline peak-age T-scores with u-shaped trajectory). Baseline predictors of Class 1 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.

摘要

尽管 HIV 感染者随着年龄增长会出现神经认知风险,但最初的横断面数据表明,HIV 感染者中有一部分老年人(PWH)具有神经认知(NC)年轻的特点,类似于超级老年人(SA)。在这里,我们描述了老年 PWH 的纵向 NC 轨迹,并根据 PWH 中既定的超级老龄化标准以及基线生物心理社会因素,与基线 SA 状态的相关性进行了验证。增长混合模型(GMM)根据“峰值年龄”全球 T 评分确定了 184 名年龄在 50 岁以上(年龄≥50 岁)且随访时间为 1-5 年的老年 PWH 的纵向 NC 类别。使用与 25 岁正常样本相比的“峰值年龄”T 评分来定义类别。确定了 3 个类别:第 1 类(n=31 [16.8%],基线峰值年龄 T 评分高,呈平坦轨迹);第 2 类(n=100 [54.3%],基线峰值年龄 T 评分中等,呈 U 形轨迹);第 3 类(n=53 [28.8%],基线峰值年龄 T 评分低,呈 U 形轨迹)。第 1 类的基线预测因素包括 SA 状态、年龄较小、认知和生理储备较高、主观认知困难较少。该 GMM 分析通过确定具有纵向稳定、年轻的神经认知和强大的生物心理社会健康的亚组,支持了超级老龄化在老年 PWH 中的结构有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3346/9046348/7b388ae7cc6e/10461_2021_3546_Fig1_HTML.jpg

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