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

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