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An Automated Virtual Reality Program Accurately Diagnoses HIV-Associated Neurocognitive Disorders in Older People
Raeanne C Moore1, Kevin S Kuehn1, Anne Heaton1
1Department of Psychiatry, School of Medicine, University of California at San Diego, La Jolla, California, USA.
A virtual reality tool, DETECT, accurately screens for cognitive impairment in older adults with HIV (PWH). This immersive, self-administered program offers a scalable solution for diagnosing HIV-associated neurocognitive disorders (HANDs).
Area of Science:
- Neuroscience
- Geriatrics
- Infectious Diseases
Background:
- HIV-associated neurocognitive disorders (HANDs) persist in older adults despite antiretroviral therapy.
- Diagnosing HAND is challenging due to its labor-intensive nature and need for expert administration of neuropsychological tests.
- Previous research demonstrated the feasibility and accuracy of the DETECT virtual reality program for assessing cognition in younger people with HIV (PWH).
Purpose of the Study:
- To evaluate the accuracy of the DETECT virtual reality program in identifying cognitive impairment in older PWH (≥60 years).
- To assess the correlation between DETECT performance and traditional neuropsychological test results for HAND diagnosis.
- To determine the utility of DETECT as a scalable cognitive screening tool for this population.
Main Methods:
- Enrolled 79 older PWH (≥60 years) on antiretroviral therapy with undetectable viral loads.
- Assessed HAND status using Frascati criteria and a comprehensive neuropsychological battery.
- Administered the DETECT cognition module and analyzed its association with HAND status and Global Deficit Score (GDS) using regression models.
Main Results:
- A significant correlation (r = 0.45, P < .001) was observed between the DETECT module and the neuropsychological battery.
- DETECT performance significantly predicted HAND status (b = -0.79, P < .001) and GDS impairment (b = -0.83, P < .001).
- DETECT demonstrated high accuracy in differentiating HAND status (AUC = 0.78) and detecting GDS impairment (AUC = 0.85).
Conclusions:
- The DETECT cognition module is a novel and effective tool for identifying cognitive impairment in older PWH.
- Its immersive and self-administered nature makes DETECT a promising, scalable cognitive screening battery.
- This virtual reality approach has the potential to improve the diagnosis and management of HANDs in aging populations.
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