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. 2017 Oct 10;89(15):1594–1603. doi: 10.1212/WNL.0000000000004491

Cognitive trajectories over 4 years among HIV-infected women with optimal viral suppression

Leah H Rubin 1,, Pauline M Maki 1, Gayle Springer 1, Lorie Benning 1, Kathryn Anastos 1, Deborah Gustafson 1, Maria C Villacres 1, Xiong Jiang 1, Adaora A Adimora 1, Drenna Waldrop-Valverde 1, David E Vance 1, Hector Bolivar 1, Christine Alden 1, Eileen M Martin 1, Victor G Valcour 1; For the Women's Interagency HIV Study1
PMCID: PMC5634661  PMID: 28904086

Abstract

Objective:

To determine whether persistent viral suppression alters cognitive trajectories among HIV-infected (HIV+) women on combination antiretroviral therapy (cART) by investigating performance longitudinally in uninfected (HIV−) and 3 groups of HIV+ women: those with consistent viral suppression after continuous cART use (VS), those without consistent virologic suppression despite continuous cART use (NVS), and those without consistent virologic suppression after intermittent cART use (Int NVS).

Methods:

Two hundred thirty-nine VS, 220 NVS, 172 Int NVS, and 301 HIV− women from the Women's Interagency HIV Study (WIHS) completed neuropsychological testing every 2 years for 3 visits between 2009 and 2013. Mixed-effects regressions were used to examine group differences on continuous T scores and categorical measures of impairment (T score <40).

Results:

On global function, VS women demonstrated lower scores and were more likely to score in the impaired range than HIV− women (p = 0.01). These differences persisted over time (group × time, p > 0.39). VS women demonstrated lower learning and memory scores than HIV− women (p < 0.05) and lower attention/working memory and fluency scores than HIV− and NVS women (p < 0.05). Group differences in scores persisted over time. Categorically, VS women were more likely to be impaired on attention/working memory and executive function than HIV− women (p < 0.05). On motor skills, VS and NVS women showed a greater decline and were more likely to be impaired than HIV− women (p < 0.05).

Conclusions:

Cognitive difficulties remain among HIV+ women despite persistent viral suppression. In some instances, VS women are worse than NVS women, reinforcing the need for novel adjunctive therapies to attenuate cognitive problems.


HIV penetrates the brain early in the course of infection,1 and 30% to 60% of people with HIV will develop cognitive impairment (CI).2 Rates of CI remain frequent among HIV-infected (HIV+) individuals with suppressed plasma HIV RNA (VS)3,4 vs HIV-uninfected (HIV−) individuals, suggesting that CI persists despite these lifesaving treatments.5 Less is known about the patterns of CI in the setting of VS, and few cohorts have the capacity to inform the longitudinal trajectories in VS individuals. Existing literature, including cross-sectional work from the cohort in the current study,6,7 is largely informed by the examination of combined samples, including VS and unsuppressed individuals. Such heterogeneity limits the understanding of the burden of disease despite viral suppression and the identification of adjunctive therapies for VS individuals, an expanding population with the introduction of increasingly tolerable medication options.

Here, we examine longitudinal changes in CI using viral suppression and consistency of combination antiretroviral therapy (cART) use to define subgroups of HIV+ women. On the basis of prior findings,79 we expected that all HIV+ women would show impairment at baseline and over time on global function, learning, attention, and executive function compared to HIV− women. HIV+ and particularly VS women were also expected to perform worse on neuropsychological measures compared to HIV− women on learning, memory, and attention. Finally, we expected VS women to perform better on neuropsychological testing and that fewer would meet criteria for impairment compared to HIV+ women not achieving persistent viral control whether consistently or intermittently on cART.

METHODS

Participants and data source.

Longitudinal data through September 30, 2015, were extracted from the Women's Interagency HIV Study (WIHS) in April 2016. Information about WIHS is provided at http://wihshealth.org. The first 2 waves of enrollment occurred between October 1994 and November 1995 and between October 2001 and September 2002 from Brooklyn, Bronx, Chicago, Washington, Los Angeles, and San Francisco. Barkan et al.10 and Bacon et al.11 provide recruitment procedures and eligibility criteria. Compared to women not completing neuropsychological testing at all visits (noncompleters, n = 607), completers (n = 932) were less likely to be Hispanic and more likely to smoke, to use marijuana and efavirenz, to be adherent to cART and on antiretroviral therapy (ART) for a longer duration, and to have a lower current CD4 count (table e-1 at Neurology.org).

WIHS was approved by the institutional review board at each site and was compliant with the Health Insurance Portability and Accountability Act. Written consent was obtained from all participants.

Primary exposure variable.

CD4 count and plasma HIV RNA were measured concurrently with neuropsychological testing, which was implemented in 2009 and administered biennially. ART history and nadir CD4 count were obtained from chart review and self-report. With the use of Department of Health and Human Services/Kaiser Panel 2008 guidelines, HIV treatment regimens were categorized as cART, suboptimal cART, or no ART. Plasma HIV RNA was classified as below the limits of detection at <48 cp/mL. These data were used to create 4 groups: VS, HIV+ without consistent plasma viral control (≥1 visit with a detectable viral load during study period) despite continuous cART use (NVS), HIV+ without consistent plasma viral control after intermittent cART use (Int NVS), and HIV−. Individuals not falling into 1 of these groups were excluded from analysis. Plasma viral failure was defined as HIV RNA ≥10,000 cp/mL.

Neuropsychological outcomes.

The following assessments were used: learning, Hopkins Verbal Learning Test-Revised (HVLT-R; outcome = total learning); memory, HVLT-R (outcome = delay free recall); attention/working memory, letter-number sequencing (outcomes = experimental and control conditions total correct); executive function, Trail Making Test Part B (outcome = time to completion) and Stroop Test Trial 3 (outcome = time to completion); psychomotor speed, Symbol Digit Modalities Test (outcome = total correct) and Stroop Test Trial 2 (outcome = time to completion); fluency, letter (outcome = total correct) and semantic (outcome = total correct); and motor skills, Grooved Pegboard (outcome = time to completion, dominant and nondominant hand). Timed outcomes were log transformed to normalize distributions and reverse scored, so higher equated to better performance.

Similar to other large-scale HIV cohorts4,12,13 including WIHS,7,1416 demographically adjusted T scores were derived for each outcome. T scores were used to create domain scores and a global performance score for individuals with data for ≥4 domains (supplemental material). Impairment was examined with continuous (higher/lower scores) and categorical (scoring in the impaired range) outcomes. To examine impairment continuously, a composite T score was derived by averaging T scores for domains with ≥2 outcomes. If only 1 test in a domain was completed, the T score for that test was used. We computed binary outcomes (T score <40) using the Multicenter AIDS Cohort Study (MACS) procedures.12 Continuous T scores and binary outcomes were examined to compare to previous large-scale studies.

Statistical analysis.

We conducted mixed-effects regressions in SAS PROC MIXED (version 9.4, SAS Institute Inc, Cary, NC) to examine group differences in performance between the full sample of HIV+ and HIV−, between VS and HIV−, and between VS and the 2 other HIV+ groups defined by cART use and viral suppression status. Mixed-effects regression models were selected to handle repeated measurements nested within individuals and to handle missing data. Primary predictors included cART use and plasma viral suppression status, time (continuous), and the group by time interaction. We included the following covariates: site; enrollment wave; self-reported annual household income (≤$12,000, >$12,000, missing); depressive symptoms (Center for Epidemiological Studies Depression Scale ≥16 cutoff); heavy alcohol use (>7 drinks per week or ≥4 drinks in 1 sitting); smoking status (within the past week, former, never); marijuana use; crack, cocaine, and/or heroin use (within 6 months of the most recent visit, former, never); and hepatitis C RNA positive. Observations were trimmed (studentized residuals >|4.5|), which was the case for <1% of observations (4 for motor, 8 for speed). Secondary analyses were conducted in HIV+ women to determine whether HIV−related characteristics predicted performance on binary outcomes (nadir and current CD4 cell count, self-reported AIDS diagnosis, self-reported years on ART and efavirenz use, proportion of total WIHS visits with undetectable HIV RNA, plasma viral failure, and CNS penetration-effectiveness [CPE] score since the last WIHS visit17 [categorized as low <8, medium 8–9, or high >918]).

RESULTS

Sample characteristics.

Nine hundred sixty women recruited between 1994 and 2002 completed 3 neuropsychological assessments; 239 were VS, 220 were NVS, 172 were Int NVS, and 301 were HIV−. Twenty-eight were virally suppressed but not on cART and therefore excluded from analyses. The 932 women analyzed were 66% black non-Hispanic and 18% Hispanic and ranged in age from 25 to 77 years (mean = 45.3, SD = 9.2 years; table 1). Compared to HIV− women, HIV+ women were slightly older (46 vs 43, p < 0.001), more likely to have HCV+ viremia (21% vs 13%, p = 0.002), and less likely to engage in heavy alcohol (15% vs 23%, p = 0.003) and marijuana (15% vs 25%, p < 0.001) use. Among those HIV+, VS women had higher proximal and nadir CD4 counts, had undetectable plasma HIV RNA levels for a greater proportion of WIHS visits, and were more likely to adhere to HIV medication than NVS and Int NVS women (p < 0.001). An examination of data on missed ART doses showed the following reasons: most Int NVS women reported not being prescribed (30%), CD4 count was too high or viral load was too low (20%), personal decision/feeling healthy (31%), or side effects (7%).

Table 1.

Sample characteristics by group for those women with a cognitive assessment completed at baseline

graphic file with name NEUROLOGY2017808048TT1.jpg

graphic file with name NEUROLOGY2017808048TT1A.jpg

Combined sample of HIV+ vs HIV− women.

Global function.

At baseline, HIV+ women demonstrated lower scores (p = 0.005) and an increased likelihood of scoring in the impaired range (p = 0.01; figure 1 and table e-2) than HIV− women. Over time, the full sample showed a decline in scores and increased frequency of impaired performance (p < 0.05). Regardless of performance metric, there were no HIV serostatus by time interactions, noting that HIV+ and HIV− women showed consistent differences over time (p > 0.45). Among HIV+ women, every 10% increase in the proportion of suppressed visits was associated with being 9% less likely to score in the impaired range (odds ratio [OR] 0.91, 95% confidence interval 0.83–0.99, p = 0.04).

Figure 1. Longitudinal trajectories of cognitive performance (estimated mean, SE) and cognitive impairment (estimated probability, SE) for HIV+ and HIV− women.

Figure 1

Att/WM = attention/working memory; Δ = group difference in slopes; EF = executive function; SE = standard error. ***p < 0.001; **p < 0.01; *p < 0.05; †p = 0.06.

Domains.

At baseline, HIV+ women demonstrated lower scores on learning (p < 0.001), memory (p < 0.001), and attention/working memory (p = 0.04) than HIV− women (figure 1, top). HIV+ women also showed an increased likelihood of scoring in the impaired range on attention/working memory (p < 0.001) and learning (p = 0.04) but not on memory (p = 0.16) than HIV− women (figure 1, bottom). The full sample showed a decline in scores and an increased likelihood of impairment on learning, memory, and attention/working memory (p < 0.05). While there were no HIV serostatus by time interactions on attention/working memory or learning (p > 0.27), interactions were noted on memory when examined continuously (p = 0.04) and motor skills when examined continuously and categorically (p = 0.008). Among HIV+ women, a 10% increase in the proportion of WIHS visit being suppressed was associated with a decreased likelihood of scoring in the impaired range on learning (OR 0.89, 95% confidence interval 0.82–0.99, p = 0.01) and memory (OR 0.90, 95% confidence interval 0.82–0.99, p = 0.03).

Subgroup differences.

Global function.

At baseline, VS women demonstrated lower scores (p < 0.05; figure 2 and table 2) and were more likely to be impaired than HIV− women (OR 2.18, 95% confidence interval 1.14–4.18, p = 0.02; figure 3). Performance by Int NVS women at baseline, but not NVS women, mirrored the pattern observed in VS women (table e-3). There were no differences between VS and NVS or Int NVS women and no group × time interactions (p > 0.59).

Figure 2. Longitudinal trajectories of cognitive performance (estimated mean, SE) by group.

Figure 2

Comparisons are for (a) VS vs HIV−, (b) VS vs NVS, (c) VS vs Int NVS, (d) NVS vs HIV−, (e) Int NVS vs HIV−, and (f) Int NVS vs NVS. Significant differences at baseline (p = 0.05). Att/WM = attention/working memory; combination antiretroviral therapy; Δ = significant group difference in slopes at p < 0.05; EF = executive function; Int NVS = intermittent cART use and inconsistent plasma viral suppression over the 4-year study duration; NVS = consistent use of cART but inconsistent plasma viral suppression over the 4-year study duration; SE = standard error; VS = consistent use of cART and virally suppressed over the 4-year study duration.

Table 2.

Estimated group mean T score differences (standard errors) in global neuropsychological function and in each domain at baseline

graphic file with name NEUROLOGY2017808048TT2.jpg

Figure 3. Longitudinal trajectories of cognitive impairment (estimated probability, SE) by group.

Figure 3

Comparisons are for (a) VS vs HIV−, (b) VS vs NVS, (c) VS vs Int NVS, (d) NVS vs HIV−, (e) Int NVS vs HIV−, and (f) Int NVS vs NVS. Significant differences at baseline (p < 0.05). Att/WM = attention/working memory; combination antiretroviral therapy; Δ = significant group difference in slopes at p < 0.05; EF = executive function; Int NVS = intermittent cART use and inconsistent plasma viral suppression over the 4-year study duration; NVS = consistent use of cART but inconsistent plasma viral suppression over the 4-year study duration; SE = standard error; VS = consistent use of cART and virally suppressed over the 4-year study duration.

Domains.

At baseline, VS women demonstrated lower scores on learning, memory, attention/working memory, and fluency than HIV− women (p < 0.05; figure 2 and, table 2). VS women demonstrated higher scores on learning than Int NVS women and lower scores on attention/working memory and fluency than NVS women (p < 0.05). NVS and Int NVS women demonstrated lower scores on learning and memory than HIV− women (p < 0.05), and Int NVS women demonstrated lower scores on memory than NVS women (p < 0.05). A group × time interaction was observed on motor skills (p = 0.03).

After HIV-related characteristics were controlled for (p < 0.10), all subgroup differences remained (p < 0.05) except in attention/working memory (p = 0.15), which was eliminated after accounting for nadir CD4 cell count (B = −0.6 [per 100 change], standard error [SE] = 0.2, p = 0.01) and CPE score (B = 1.6 [medium vs high], SE = 0.7, p = 0.02). Group differences remained in learning and memory after accounting for a previous AIDS diagnosis (B range = −1.4 to −1.7, SE = 0.6, p < 0.05), CPE score (B range = 1.4 to 1.7 [medium vs low], SE = 0.06, p < 0.05; also in learning B = 1.6 [medium vs high], SE = 0.7, p = 0.03), and ART use (B = −1.4 [per 10 years], SE = 0.7, p < 0.06). Differences remained in fluency even with efavirenz use (B = −1.2, SE = 0.6, p = 0.04), plasma viral failure (B = −1.0, SE = 0.5, p = 0.05), and a previous AIDS diagnosis (B = −1.2, SE = 0.6, p = 0.06) as significant predictors.

For binary outcomes, VS women were more likely to perform in the impaired range at baseline than HIV− women on attention/working memory (OR 2.81, 95% confidence interval 1.33–5.91, p = 0.007) and executive function (OR 2.28, 95% confidence interval 1.11–4.66, p = 0.02; figure 3). Each HIV+ subgroup was more likely to be impaired than HIV− women on attention/working memory (p < 0.05) but not executive function (table e-3). In learning, only Int NVS women were more likely to be impaired than HIV− women (OR 2.27, 95% confidence interval 1.21–4.27, p = 0.01). Interactions between HIV serostatus and time were significant for motor skills (p < 0.05).

In secondary sensitivity analyses, age did not alter the pattern of results. Age was not included in primary models as a covariate because age was incorporated into the T score computation.

DISCUSSION

Findings from this large-scale, longitudinal study show variation in the pattern of performance by plasma viral suppression status and in examining impairment continuously and categorically. This study expanded our cross-sectional work7 and allows direct comparison to previously published large-scale HIV+ cohorts.

Within our cohort, the full sample of HIV+ women demonstrated initial and continued impairment compared to HIV− women on global function. Findings confirm persistent deficits in global function among HIV+ women despite continual plasma viral suppression. In addition, our findings demonstrate the persistence and slow evolution of CI in long-term–treated cART cohorts and in global cohorts despite demographic differences. This persistent impairment also suggests that early intervention for HIV+ women may improve neuropsychological function. While HIV serostatus differences were observed in other domains, the pattern of benefits and decrements varied across metrics. This is not surprising because the use of continuous variables that assess the full spectrum of behavior provides greater statistical power than the comparison of proportions below a chosen cut point with a dichotomous outcome.19,20

Despite optimal treatment, VS women demonstrated an initial and continued likelihood of impairment in global function, attention/working memory, and executive function but not learning compared to HIV− women. VS women also showed an increased likelihood of impairment in motor skills compared to HIV− women. From the pre-cART to post-cART era, studies in largely male cohorts that used categorical measures report primary deficits in global function, learning,8,9 attention,8 and executive function9 and show decreased likelihood of impairment in motor skills.8 These reports, in part, align with our cross-sectional findings7 and longitudinal analysis in MACS showing no effect on psychomotor speed,19 but they also demonstrate the need for longitudinal data and subgroup analyses to detect differences in fluency and susceptibility over time on motor skills. Consistent with the finding for motor skills, studies demonstrate subcortical brain atrophy in HIV+ men with predominantly well-controlled immune status and viral loads vs controls.20 Inconsistencies across studies could be due to differences in sociodemographic characteristics, neuropsychological battery, and outcomes incorporated into domains and/or the degree of cohort viral suppression.

Unexpectedly, VS women had worse scores in attention and fluency when performance was measured continuously compared to NVS women. HIV-related clinical factors eliminated group differences in attention but not in fluency. Although the underlying factors driving this pattern of results are unclear, it is possible that cART itself contributes to brain injury, perhaps through mitochondrial injury.21,22 In addition to nucleoside reverse transcriptase inhibitors, non–nucleoside reverse transcriptase inhibitors (e.g., efavirenz) are associated with CNS symptoms possibly through mitochondrial perturbations2325 or diminished blood-brain barrier integrity.26 Consistent with these findings, current efavirenz use was associated with poorer fluency, a domain in which VS women performed worse than NVS women. Additional work is needed to disentangle specific cART effects that might provide insights into the pattern of vulnerabilities among VS women. Furthermore, findings underscore the importance of examining HIV+ patients by suppression status. Overlooking this heterogeneity may lead to conclusions less pertinent to treated HIV and yield a less relevant framework for studying mechanisms and adjunctive treatments for HIV+ individuals.

Analyses indicated that the Int NVS group performed worse than other HIV+ subgroups on learning and memory, suggesting that the fluctuation in both treatment and plasma viral suppression is more damaging than simply fluctuation in suppression with persistent cART use. However, it is important to note that at any given time, Int NVS women may have stopped taking cART because they felt healthy or the intermittent use could have been linked to fluctuation in other potentially confounding health-related factors. Sixty-two percent of Int NVS women stated they did not take cART because it was not prescribed, their CD4 count was too high or viral load too low, or they felt healthy. These responses could be taken as an indication of health, although in some cases, not being prescribed ART could be due to detrimental factors such as nonadherence.

The strongest HIV-related predictor of neuropsychological performance was the proportion of time with undetectable viral load. Specifically, we found that an increasing proportion of time with undetectable viral load was associated with improved performance in some domains, an encouraging finding. Potent ARTs with less neurotoxicity may support the protective effects of viral suppression on cognition.

In analyses determining whether HIV+ subgroup differences remained in the domains of learning, memory, attention/working memory, and fluency treated continuously, we found that the most consistent predictor across outcomes was a lifetime AIDS diagnosis. Many studies have shown that a past AIDS diagnosis is one of the greatest vulnerabilities among HIV+ individuals,27,28 a finding that may represent decreased cognitive reserve from irreparable brain injury before cART initiation. Consistent with some studies,29,30 we also found nadir CD4 count, years of ART use, plasma viral failure, and efavirenz use to negatively influence performance. Conversely, when CPE scores were averaged, performance was optimized compared to lower or higher CPE score. These findings are consistent with others showing that higher CPE scores are associated with a lower frequency of CI31,32 but somewhat inconsistent with reports that more penetrant cART regimens are associated with worse neuropsychological function.18,33

The present study has limitations. First, more time points would improve the understanding of cognitive trajectories associated with variations in viral suppression and cART use and determine those showing improvement, persistent decline, and fluctuations over time in global and domain-specific neuropsychological functioning. Nevertheless, with 3 time points over 4 years, we demonstrated specific vulnerabilities among HIV+ women despite consistent viral suppression. Second, we used at-risk HIV− women as our normative-based sample, which may bias our results to yield an underestimation of the magnitude of group differences. We selected our control group as the comparison because they are similar to our HIV+ participants in ethnic composition, socioeconomic status, and substance use. What highlights the comparability between these 2 groups is that even the HIV− women demonstrated a decline in scores and an increased risk of CI similar to the HIV+ women in learning, memory, and attention/working memory. If healthier, the HIV− women would have been expected to demonstrate either improvement (demonstrating practice) or a stable performance over time. HIV− WIHS women, on average, demonstrate CI compared to demographically adjusted normative standards.34,35 HIV− WIHS participants performed on average 2 SDs below HVLT manual age-adjusted norms of individuals 40 to 49 years of age on learning and memory. Normative standards adjusted for age, education, and race indicate that our HIV− participants performed 1 SD below published norms34 on HVLT outcomes. The differences observed between serostatus groups suggest an added cognitive injury and persistent vulnerability despite viral suppression. Future studies comparing WIHS women to all or predominantly male HIV+ cohorts will enable us to assess the magnitude and pattern of impairment in WIHS women vs others and to directly assess sex differences because HIV+ women may be more vulnerable than HIV+ men.36,37

Overall, global function, learning, memory, attention/working memory, and fluency continue to be vulnerabilities among HIV+ women, particularly among those who are virally suppressed. Future longer-term studies are needed to confirm these observed patterns and to investigate the neurobiological mechanisms underlying these findings.

Supplementary Material

Data Supplement
Coinvestigators
Accompanying Editorial

ACKNOWLEDGMENT

The authors thank the WIHS participants and investigators for their participation.

GLOSSARY

ART

antiretroviral therapy

cART

combination antiretroviral therapy

CI

cognitive impairment

CPE

CNS penetration-effectiveness

HVLT-R

Hopkins Verbal Learning Test-Revised

Int NVS

no consistent virologic suppression after intermittent combination antiretroviral therapy use

MACS

Multicenter AIDS Cohort Study

NVS

no consistent virologic suppression despite continuous combination antiretroviral therapy use

OR

odds ratio

SE

standard error

VS

viral suppression after continuous combination antiretroviral therapy use

WIHS

Women's Interagency HIV Study

Footnotes

Supplemental data at Neurology.org

Editorial, page 1540

Contributor Information

Collaborators: Women's Interagency HIV Study, Michael Saag, Mirjam-Colette Kempf, Deborah Konkle-Parker, Ighovwerha Ofotokun, Gina Wingood, Kathryn Anastos, Howard Minkoff, Deborah Gustafson, Mardge Cohen, Audrey French, Seble Kassaye, Margaret Fischl, Lisa Metsch, Adaora Adimora, Ruth Greenblatt, Bradley Aouizerat, Phyllis Tien, Stephen Gange, Elizabeth Golub, and Joel Milam

AUTHOR CONTRIBUTIONS

L.H.R., V.G.V.: conception and design of the study. L.H.R., G.S., C.A., L.B.: acquisition and analysis of data. L.H.R., V.G.V., L.B., G.S., E.M.M., P.M.M.: drafting a significant portion of the manuscript or figures. All authors provided a critical review of manuscript for important intellectual content and contributed to and approved the final manuscript.

STUDY FUNDING

Dr. Rubin's effort was supported by grant 1K01MH098798-01 and Dr. Valcour's by K24MH098759, both from the National Institute of Mental Health. Data in this manuscript were collected by the WIHS. The contents of this publication are solely the responsibility of the authors and do not represent the official views of the NIH. WIHS (principal investigators): University of Alabama at Birmingham-MS WIHS (Michael Saag, Mirjam-Colette Kempf, and Deborah Konkle-Parker), U01-AI-103401; Atlanta WIHS (Ighovwerha Ofotokun and Gina Wingood), U01-AI-103408; Bronx WIHS (Kathryn Anastos), U01-AI-035004; Brooklyn WIHS (Howard Minkoff and Deborah Gustafson), U01-AI-031834; Chicago WIHS (Mardge Cohen and Audrey French), U01-AI-034993; Metropolitan Washington WIHS (Seble Kassaye), U01-AI-034994; Miami WIHS (Margaret Fischl and Lisa Metsch), U01-AI-103397; University of North Carolina WIHS (Adaora Adimora), U01-AI-103390; Connie Wofsy Women's HIV Study, Northern California (Ruth Greenblatt, Bradley Aouizerat, and Phyllis Tien), U01-AI-034989; WIHS Data Management and Analysis Center (Stephen Gange and Elizabeth Golub), U01-AI-042590; and Southern California WIHS (Joel Milam), U01-HD-032632 (WIHS I–WIHS IV). The WIHS is funded primarily by the National Institute of Allergy and Infectious Diseases, with additional cofunding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Cancer Institute, National Institute on Drug Abuse, and National Institute on Mental Health. Targeted supplemental funding for specific projects is also provided by the National Institute of Dental and Craniofacial Research, National Institute on Alcohol Abuse and Alcoholism, National Institute on Deafness and other Communication Disorders, and NIH Office of Research on Women's Health. WIHS data collection is also supported by UL1-TR000004 (University of California, San Francisco Clinical and Translational Science Award) and UL1-TR000454 (Atlanta Clinical and Translational Science Award).

DISCLOSURE

L. Rubin, P. Maki, G. Springer, L. Benning, K. Anastos, D. Gustafson, M. Villacres, X. Jiang, A. Adimora, D. Waldrop-Valverde, D. Vance, H. Bolivar, C. Alden, and E. Martin report no disclosures relevant to the manuscript. V. Valcour has served as a consultant for ViiV Healthcare and Merck on topics related to HIV and aging. Go to Neurology.org for full disclosures.

REFERENCES

  • 1.Valcour V, Chalermchai T, Sailasuta N, et al. Central nervous system viral invasion and inflammation during acute HIV infection. J Infect Dis 2012;206:275–282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Grant I. Neurocognitive disturbances in HIV. Int Rev Psychiatry 2008;20:33–47. [DOI] [PubMed] [Google Scholar]
  • 3.Tozzi V, Balestra P, Bellagamba R, et al. Persistence of neuropsychologic deficits despite long-term highly active antiretroviral therapy in patients with HIV-related neurocognitive impairment: prevalence and risk factors. J Acquir Immune Defic Syndr 2007;45:174–182. [DOI] [PubMed] [Google Scholar]
  • 4.Cysique LA, Heaton RK, Kamminga J, et al. HIV-associated neurocognitive disorder in Australia: a case of a high-functioning and optimally treated cohort and implications for international neuroHIV research. J Neurovirol 2014;20:258–268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Chan P, Hellmuth J, Spudich S, Valcour V. Cognitive impairment and persistent CNS injury in treated HIV. Curr HIV/AIDS Rep 2016;13:209–217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Richardson JL, Martin EM, Jimenez N, et al. Neuropsychological functioning in a cohort of HIV infected women: importance of antiretroviral therapy. J Int Neuropsychol Soc 2002;8:781–793. [DOI] [PubMed] [Google Scholar]
  • 7.Maki PM, Rubin LH, Valcour V, et al. Cognitive function in women with HIV: findings from the Women's Interagency HIV Study. Neurology 2015;84:231–240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Heaton RK, Franklin DR, Ellis RJ, et al. HIV-associated neurocognitive disorders before and during the era of combination antiretroviral therapy: differences in rates, nature, and predictors. J Neurovirol 2011;17:3–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Cysique LA, Maruff P, Brew BJ. Prevalence and pattern of neuropsychological impairment in human immunodeficiency virus-infected/acquired immunodeficiency syndrome (HIV/AIDS) patients across pre- and post-highly active antiretroviral therapy eras: a combined study of two cohorts. J Neurovirol 2004;10:350–357. [DOI] [PubMed] [Google Scholar]
  • 10.Barkan SE, Melnick SL, Preston-Martin S, et al. The Women's Interagency HIV Study: WIHS Collaborative Study Group. Epidemiology 1998;9:117–125. [PubMed] [Google Scholar]
  • 11.Bacon MC, von Wyl V, Alden C, et al. The Women's Interagency HIV Study: an observational cohort brings clinical sciences to the bench. Clin Diagn Lab Immunol 2005;12:1013–1019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Sacktor N, Skolasky RL, Seaberg E, et al. Prevalence of HIV-associated neurocognitive disorders in the Multicenter AIDS cohort study. Neurology 2016;86:334–340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Heaton RK, Marcotte TD, Mindt MR, et al. The impact of HIV-associated neuropsychological impairment on everyday functioning. J Int Neuropsychol Soc 2004;10:317–331. [DOI] [PubMed] [Google Scholar]
  • 14.Rubin LH, Sundermann EE, Cook JA, et al. Investigation of menopausal stage and symptoms on cognition in human immunodeficiency virus-infected women. Menopause 2014;21:997–1006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Rubin LH, Pyra M, Cook JA, et al. Post-traumatic stress is associated with verbal learning, memory, and psychomotor speed in HIV-infected and HIV-uninfected women. J Neurovirol 2016;22:159–169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Rubin LH, Cook JA, Weber KM, et al. The association of perceived stress and verbal memory is greater in HIV-infected versus HIV-uninfected women. J Neurovirol 2015;21:422–432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Letendre SL, FitzSimons C, Ellis RJ, et al. Correlates of CSF viral loads in 1,221 volunteers of the CHARTER cohort. Presented at the 17th Conference on Retroviruses and Opportunistic Infections; February 16–19, 2010; San Francisco, CA.
  • 18.Caniglia EC, Cain LE, Justice A, et al. Antiretroviral penetration into the CNS and incidence of AIDS-defining neurologic conditions. Neurology 2014;83:134–141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Cole MA, Margolick JB, Cox C, et al. Longitudinally preserved psychomotor performance in long-term asymptomatic HIV-infected individuals. Neurology 2007;69:2213–2220. [DOI] [PubMed] [Google Scholar]
  • 20.Becker JT, Sanders J, Madsen SK, et al. Subcortical brain atrophy persists even in HAART-regulated HIV disease. Brain Imaging Behav 2011;5:77–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Kohler JJ, Lewis W. A brief overview of mechanisms of mitochondrial toxicity from NRTIs. Environ Mol Mutagen 2007;48:166–172. [DOI] [PubMed] [Google Scholar]
  • 22.Schweinsburg BC, Taylor MJ, Alhassoon OM, et al. Brain mitochondrial injury in human immunodeficiency virus-seropositive (HIV+) individuals taking nucleoside reverse transcriptase inhibitors. J Neurovirol 2005;11:356–364. [DOI] [PubMed] [Google Scholar]
  • 23.Apostolova N, Funes HA, Blas-Garcia A, Alegre F, Polo M, Esplugues JV. Involvement of nitric oxide in the mitochondrial action of efavirenz: a differential effect on neurons and glial cells. J Infect Dis 2015;211:1953–1958. [DOI] [PubMed] [Google Scholar]
  • 24.Funes HA, Apostolova N, Alegre F, et al. Neuronal bioenergetics and acute mitochondrial dysfunction: a clue to understanding the central nervous system side effects of efavirenz. J Infect Dis 2014;210:1385–1395. [DOI] [PubMed] [Google Scholar]
  • 25.Purnell PR, Fox HS. Efavirenz induces neuronal autophagy and mitochondrial alterations. J Pharmacol Exp Ther 2014;351:250–258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Bertrand L, Dygert L, Toborek M. Antiretroviral treatment with efavirenz disrupts the blood-brain barrier integrity and increases stroke severity. Scientific Rep 2016;6:39738. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.van Gorp WG, Miller EN, Marcotte TD, et al. The relationship between age and cognitive impairment in HIV-1 infection: findings from the Multicenter AIDS Cohort Study and a clinical cohort. Neurology 1994;44:929–935. [DOI] [PubMed] [Google Scholar]
  • 28.Valcour V, Paul R, Neuhaus J, Shikuma C. The effects of age and HIV on neuropsychological performance. J Int Neuropsychol Soc 2011;17:190–195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Valcour V, Yee P, Williams AE, et al. Lowest ever CD4 lymphocyte count (CD4 nadir) as a predictor of current cognitive and neurological status in human immunodeficiency virus type 1 infection: the Hawaii Aging with HIV Cohort. J Neurovirol 2006;12:387–391. [DOI] [PubMed] [Google Scholar]
  • 30.Ellis RJ, Badiee J, Vaida F, et al. CD4 nadir is a predictor of HIV neurocognitive impairment in the era of combination antiretroviral therapy. AIDS 2011;25:1747–1751. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Carvalhal A, Gill MJ, Letendre SL, et al. Central nervous system penetration effectiveness of antiretroviral drugs and neuropsychological impairment in the Ontario HIV Treatment Network Cohort Study. J Neurovirol 2016;22:349–357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Smurzynski M, Wu K, Letendre S, et al. Effects of central nervous system antiretroviral penetration on cognitive functioning in the ALLRT cohort. AIDS 2011;25:357–365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Libertone R, Lorenzini P, Balestra P, et al. Central nervous system penetration-effectiveness rank does not reliably predict neurocognitive impairment in HIV-infected individuals. J Int AIDS Soc 2014;17:19655. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Norman MA, Moore DJ, Taylor M, et al. Demographically corrected norms for African Americans and Caucasians on the Hopkins Verbal Learning Test-Revised, Brief Visuospatial Memory Test-Revised, Stroop Color and Word Test, and Wisconsin CARD SORTING TEST 64-Card Version. J Clin Exp Neuropsychol 2011;33:793–804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Brandt J, Benedict R. Hopkins Verbal Learning Test-Revised: Professional Manual. Lutz, FL: Psychological Assessment Resources; 2001. [Google Scholar]
  • 36.Keutmann MK, Gonzalez R, Maki PM, Rubin LH, Vassileva J, Martin EM. Sex differences in HIV effects on visual memory among substance-dependent individuals. J Clin Exp Neuropsychol 2017;39:574–586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Martin E, Gonzalez R, Vassileva J, Maki PM, Bechara A, Brand M. Sex and HIV serostatus differences in decision making under risk among substance-dependent individuals. J Clin Exp Neuropsychol 2016;38:404–415. [DOI] [PMC free article] [PubMed] [Google Scholar]

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