RESUMO
Human immunodeficiency virus-associated neurocognitive disorders persist in the combination antiretroviral therapy era. CD4 nadir is a well-established predictor of cognition cross-sectionally, but its impact on longitudinal neurocognitive (NC) trajectories is unclear. The few studies on this topic examined trajectories of global cognition, rather than specific NC domains. The current study examined CD4 nadir in relation to domain-specific NC decline. 132 HIV + adults from the Temple/Drexel Comprehensive NeuroHIV Center, Clinical and Translational Research Support Core Cohort were administered comprehensive NC assessments longitudinally, with last visit occurring an average of 12 years after CD4 nadir. Linear mixed models were used to examine CD4 nadir in relation to longitudinal NC trajectories in three empirically identified NC domains: speed/executive function (S/EF), visuospatial memory (VM), and verbal fluency (VF). CD4 nadir was associated with change in VF (p = 0.020), but not with S/EF or VM. Specifically, those with CD4 nadir < 200 demonstrated increasing VF over time (p = .002), whereas those with CD4 nadir > 200 demonstrated stable VF (p = .568), though these differing trajectories may partly reflect regression to the mean or differential practice effect. CD4 dynamics over time were analyzed as potential mechanisms for the identified associations, with mixed findings. While low CD4 nadir has been associated with weaker neurocognition among people living with HIV, the results of this study suggest that low CD4 nadir is not associated with ongoing decline a decade later. Nadir-related deficits in VF may be stable or even improve over time, possibly reflecting the beneficial cognitive effects of long-term treatment and immune reconstitution.
RESUMO
Significance: Existing screening tools for HIV-associated neurocognitive disorders (HAND) are often clinically impractical for detecting milder forms of impairment. The formal diagnosis of HAND requires an assessment of both cognition and impairment in activities of daily living (ADL). To address the critical need for identifying patients who may have disability associated with HAND, we implemented a low-cost screening tool, the Virtual Driving Test (VDT) platform, in a vulnerable cohort of people with HIV (PWH). The VDT presents an opportunity to cost-effectively screen for milder forms of impairment while providing practical guidance for a cognitively demanding ADL. Objectives: We aimed to: (1) evaluate whether VDT performance variables were associated with a HAND diagnosis and if so; (2) systematically identify a manageable subset of variables for use in a future screening model for HAND. As a secondary objective, we examined the relative associations of identified variables with impairment within the individual domains used to diagnose HAND. Methods: In a cross-sectional design, 62 PWH were recruited from an established HIV cohort and completed a comprehensive neuropsychological assessment (CNPA), followed by a self-directed VDT. Dichotomized diagnoses of HAND-specific impairment and impairment within each of the seven CNPA domains were ascertained. A systematic variable selection process was used to reduce the large amount of VDT data generated, to a smaller subset of VDT variables, estimated to be associated with HAND. In addition, we examined associations between the identified variables and impairment within each of the CNPA domains. Results: More than half of the participants (N = 35) had a confirmed presence of HAND. A subset of twenty VDT performance variables was isolated and then ranked by the strength of its estimated associations with HAND. In addition, several variables within the final subset had statistically significant associations with impairment in motor function, executive function, and attention and working memory, consistent with previous research. Conclusion: We identified a subset of VDT performance variables that are associated with HAND and assess relevant functional abilities among individuals with HAND. Additional research is required to develop and validate a predictive HAND screening model incorporating this subset.
