An Automated Virtual Reality Program Accurately Diagnoses HIV-Associated Neurocognitive Disorders in Older People With HIV

Author:

Moore Raeanne C1ORCID,Kuehn Kevin S1,Heaton Anne1,Sundermann Erin E1,Campbell Laura M12,Torre Peter3,Umlauf Anya1,Moore David J1,Kosoris Nicole4,Wright David W5,LaPlaca Michelle C6,Waldrop Drenna7,Anderson Albert M8

Affiliation:

1. Department of Psychiatry, School of Medicine, University of California at San Diego , La Jolla, California , USA

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

3. San Diego State University , San Diego, California , USA

4. Georgia Tech Research Institute , Atlanta, Georgia , USA

5. Department of Emergency Medicine, School of Medicine, Emory University , Atlanta, Georgia , USA

6. Department of Biomedical Engineering, Georgia Tech and Emory University , Atlanta, Georgia , USA

7. Nell Hodgson Woodruff School of Nursing, Emory University , Atlanta, Georgia , USA

8. Division of Infectious Diseases, Department of Medicine, School of Medicine, Emory University , Atlanta, Georgia , USA

Abstract

Abstract Background HIV-associated neurocognitive disorders (HANDs) remain prevalent despite antiretroviral therapy, particularly among older people with HIV (PWH). However, the diagnosis of HAND is labor intensive and requires expertise to administer neuropsychological tests. Our prior pilot work established the feasibility and accuracy of a computerized self-administered virtual reality program (DETECT; Display Enhanced Testing for Cognitive Impairment and Traumatic Brain Injury) to measure cognition in younger PWH. The present study expands this to a larger sample of older PWH. Methods We enrolled PWH who were ≥60 years old, were undergoing antiretroviral therapy, had undetectable plasma viral loads, and were without significant neuropsychological confounds. HAND status was determined via Frascati criteria. Regression models that controlled for demographic differences (age, sex, education, race/ethnicity) examined the association between DETECT's cognition module and both HAND status and Global Deficit Score (GDS) derived via traditional neuropsychological tests. Results Seventy-nine PWH (mean age, 66 years; 28% women) completed a comprehensive neuropsychological battery and DETECT's cognition module. Twenty-five (32%) had HAND based on the comprehensive battery. A significant correlation was found between the DETECT cognition module and the neuropsychological battery (r = 0.45, P < .001). Furthermore, in two separate regression models, HAND status (b = −0.79, P < .001) and GDS impairment status (b = −0.83, P < .001) significantly predicted DETECT performance. Areas under the curve for DETECT were 0.78 for differentiating participants by HAND status (HAND vs no HAND) and 0.85 for detecting GDS impairment. Conclusions The DETECT cognition module provides a novel means to identify cognitive impairment in older PWH. As DETECT is fully immersive and self-administered, this virtual reality tool holds promise as a scalable cognitive screening battery.

Funder

Emory Center for AIDS Research

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3