BACKGROUND:During antiretroviral therapy (ART), the HIV reservoir shows variability, with cells carrying intact genomes decaying faster than those with defective genomes, particularly in the first years. The host factors influencing this decay remain unclear. METHODS:Observational study of 74 PWH on ART, 70 (94.6%) of whom were male. Intact proviruses were measured using the intact proviral DNA assay, and 32 inflammatory cytokines were quantified using Luminex immunoassay. Linear spline models assessed the impact of baseline cytokine levels and their trajectories on intact HIV kinetics over seven years. RESULTS:Baseline Gal-9 was the strongest predictor, with lower levels predicting faster decay. A 10-fold decrease in baseline Gal-9 correlated with a 45% (95% CI, 14%-84%) greater annual decay of intact HIV genomes. Higher baseline interferon-inducible T-cell α chemoattractant (ITAC), interleukin 17 (IL-17), and macrophage inflammatory protein 1α (MIP-1α) levels also predicted faster decay. Longitudinal increases in MIP-3α and decreases in IL-6 were linked to a 9.5% and 10% faster decay, respectively. CONCLUSIONS:The association between lower baseline Gal-9 and faster intact HIV decay suggests targeting Gal-9 could enhance reservoir reduction. The involvement of MIP-3α and IL-6 highlights a broader cytokine regulatory network, suggesting potential multi-targeted interventions.

Background: Many clinical and population-based research studies pivoted from in-person assessments to phone-based surveys due to the COVID-19 pandemic. The impact of these transitions on survey response remains understudied, especially for people living with HIV. Given that there are gender-specific trends in alcohol and substance use, it is particularly important to capture these data for women.Objective: Identify factors associated with responding to an alcohol and substance use phone survey administered during the COVID-19 pandemic in the Women's Interagency HIV Study, a multicenter US prospective cohort of women living with and without HIV.Methods: We used multivariable logistic regression to assess for associations of pre-pandemic (April-September 2019) sociodemographic factors, HIV status, housing status, depressive symptoms, alcohol use, and substance use with response to an early-pandemic (August-September 2020) phone survey.Results: Of 1,847 women who attended an in-person visit in 2019, 78% responded to a phone survey during the pandemic. The odds of responding were lower for women of Hispanic ethnicity (aOR 0.47 95% CI 0.33-0.66, ref=Black/African American) and those who reported substance use (aOR 0.63 95% CI 0.41-0.98). By contrast, the odds were higher for White women (aOR 1.64 95% CI 1.02-2.70, ref=Black/African American) and those with stable housing (aOR 1.74 95% CI 1.24-2.43).Conclusions: Pivoting from an in-person to phone-administered alcohol and substance use survey may lead to underrepresentation of key subpopulations of women who are often neglected in substance use and HIV research. As remote survey methods become more common, investigators need to ensure that the study population is representative of the target population.

BACKGROUND:Women are at risk for weight gain during the transition to menopause, but few have examined the contribution of menopause to weight gain in women with human immunodeficiency virus (WWH). METHODS:From 2000 to 2013, participants (621 WWH; 218 without HIV [WWOH]) from the Women's Interagency HIV Study were categorized by menopausal phase using serial measures of anti-Müllerian hormone (AMH). Multivariable linear mixed models examined the association of menopausal phase with body mass index (BMI) and waist circumference (WC) trajectory, stratified by HIV status. RESULTS:In models controlled for chronologic age, the estimated effects (95% confidence interval) of menopausal phase on annual rate of BMI change across early perimenopause, late perimenopause, and menopause, respectively, compared to premenopause were -0.55% (-.80 to -.30), -0.29% (-.61 to .03), and -0.67% (-1.12 to -.20) in WWH, whereas estimated effects were 0.43% (-.01 to .87) and 0.15% (-.42 to .71) across early and late perimenopause, respectively, and -0.40% (-1.24 to .45) across menopause in WWOH. The estimated effects on rate of WC change were negative across early perimenopause (-0.21% [-.44 to .03]) and menopause (-0.12% [-.5 to .26]) and positive across late perimenopause (0.18% [-.10 to .45]) in WWH, and positive across all 3 menopausal phases in WWOH, but these effects were not statistically significant. CONCLUSIONS:In WWH, the menopausal transition was associated with BMI and WC trajectories that were mostly in a negative direction and opposite from WWOH after adjusting for age, suggesting that HIV blunts weight gain during the menopausal transition.

BACKGROUND:The trajectory of liver fibrosis is not well understood in the contemporary era of human immunodeficiency virus (HIV) and hepatitis C virus (HCV) therapy. METHODS:We assessed the Enhanced Liver Fibrosis (ELF) score, aspartate transaminase-to-platelet ratio index (APRI) and Fibrosis-4 (FIB-4) in 116 women with HIV/HCV coinfection over a 4-year period. Random-effects linear regression models examined the rate of fibrosis change 1-2 years before starting HCV treatment, within 1 year before starting (peri-HCV treatment), within 1 year after and 1-2 years post-HCV treatment in unadjusted and adjusted models including age, race, and changes from pretreatment of factors that might affect fibrosis (eg, alcohol, integrase strand inhibitor [INSTI] use, waist circumference, CD4 count). RESULTS:INSTI use nearly doubled from pre- to peri-HCV treatment. In unadjusted analysis, there was a 3.3% rate of rise in ELF pre-HCV treatment, 2.2% and 3.6% rate of decline during the peri- and 1-year post-HCV treatment period, respectively, followed by a 0.3% rise. Similar findings were observed for APRI and FIB-4. There was little effect on the estimated fibrosis trajectories after adjustment. CONCLUSIONS:The apparent lack of decline in biomarkers of liver fibrosis beyond 1 year after HCV cure suggests that continued monitoring of liver fibrosis and interventions to mitigate progression in people with HIV after HCV cure remains essential.

Background: We examined change in antiretroviral treatment (ART) adherence after breastfeeding (BF) cessation using hair tenofovir (TFV) concentrations as an objective metric of medication consumption. Methods: A subset of postpartum women in Zimbabwe randomized in IMPAACT PROMISE to take ART while BF and post-BF cessation had hair TFV measured longitudinally. Using linear mixed-effect models, we estimated differences in hair TFV levels after BF cessation, accounting for trends in levels over time regardless of BF status and change in slope after breastfeeding cessation. We also estimated the relative risk of viremia (>50 copies/mL) per doubling of hair TFV concentration. Results: Among 55 women (median age 26, interquartile range 24–29 years), hair TFV levels (n = 305) were available for a median of 9 visits per woman between 3 and 29 months postpartum. Hair TFV levels ranged from undetected to 0.25 ng/mg (median 0.04 ng/mg). Controlling for trends since delivery [decline of 2.2% per month, 95% confidence interval (CI): −5.3 to 1.0], TFV levels averaged 24.4% higher (95% CI: −5.1 to 63.1) post-BF cessation than during BF, with no change in slope (0.0% per month, 95% CI: −3.8 to 3.9). Postpartum, 42% of women were ever viremic. Higher TFV levels were strongly protective; relative risk of viremia per doubling of TFV was 0.52 (95% CI: 0.43 to 0.63; P < 0.0001). Conclusions: Leveraging an objective metric of ART use, we observed modestly declining adherence across the postpartum period, but no additional decline associated with breastfeeding cessation. High viremia frequency and varying postpartum TFV levels observed highlight the importance of enhanced adherence support with viral load monitoring among postpartum women.

Objective: We examined whether human mobility was associated with antiretroviral treatment adherence, measured via antiretroviral hair concentrations. Design: This is a cross-sectional analysis of adults on antiretroviral treatment in East Africa at baseline in an observational cohort study. Methods: Participants reported recent mobility (overnight travel) and histories of migration (changes of residence), including reasons, frequency/duration, and locations. Hair antiretroviral concentrations were analyzed using validated methods. We estimated associations between mobility and antiretroviral concentrations via linear regression adjusted for age, sex, region, years on treatment. Results: Among 383 participants, half were women and the median age was 40. Among men, 25% reported recent work-related mobility, 30% nonwork mobility, and 11% migrated in the past year (mostly across district boundaries); among women, 6 and 57% reported work-related and nonwork mobility, respectively, and 8% recently migrated (mostly within district). Those reporting work-related trips 2 nights or less had 72% higher hair antiretroviral levels (P = 0.02) than those who did not travel for work; in contrast, nonwork mobility (any duration, vs. none) was associated with 24% lower levels (P = 0.06). Intra-district migrations were associated with 59% lower antiretroviral levels than nonmigrants (P = 0.003) while inter-district migrations were not (27% higher, P = 0.40). Conclusion: We found that localized/intra-district migration and nonwork travel—more common among women—were associated with lower adherence, potentially reflecting care interruptions or staying with family/friends unaware of the participants’ status. In contrast, short work-related trips—more common among men—were associated with higher adherence, perhaps reflecting higher income. Adherence interventions may require tailoring by sex and forms of mobility.

Abstract Background Early in the COVID-19 pandemic, many clinical studies pivoted to remote research visits, which have a higher non-response rate compared to in-person assessments. Survey non-response can bias estimates of alcohol and substance use prevalence. Our objective was to identify factors associated with responding to an alcohol and substance use phone survey administered during the COVID-19 pandemic to women enrolled in the MACS/WIHS Combined Cohort Study, a multicenter U.S. prospective cohort of adults living with and without HIV. Methods We assessed associations of pre-pandemic (April-Sept. 2019) sociodemographic factors, HIV status, housing status, depressive symptoms, alcohol use, and substance use measures with response to a pandemic (Aug.-Sept. 2020) phone survey using multivariable logistic regression. Response probability weights generated from the regression model were applied to the sample and prevalence estimates of risky drinking (> 7 drinks/week or > 3 drinks/day) and substance use (opioids, stimulants, sedatives) in the COVID-19 pandemic were compared to the unweighted sample. Results Of 1,834 women with pre-pandemic data, 62% were of Black race, 46% had an annual income < $12K, 71% were living with HIV and the mean age was 52.4 (SD 9.3) years. The phone survey response rate was 77.5%. In the adjusted model, the odds of responding were lower at research sites in the Western (aOR 0.35 95% CI 0.21-0.57) and Southern US (aOR 0.29 95% CI 0.19-0.44, ref=Midwest), in women of Hispanic ethnicity (aOR 0.47 95% CI 0.33-0.66, ref=Black race), and in those who reported substance use (aOR 0.62 95% CI 0.40-0.95). By contrast, the odds were higher for women of white race (aOR 1.63 95% CI 1.02-2.70) and those with stable housing (aOR 1.71 95% CI 1.22-2.39). Unweighted versus weighted prevalence estimates were 11.1% vs. 11.6% for risky drinking and 6.1% vs. 6.9% for substance use. Conclusion Among a sample of socioeconomically disadvantaged women, women of Hispanic ethnicity, and those who were unstably housed and reported substance use at baseline had lower odds of responding to an alcohol and substance use phone survey conducted early in the COVID-19 pandemic. As remote survey methods become more common, investigators should ensure that data remain representative of the target population. Disclosures Ralph J. DiClemente, PhD, Benten Technologies: Advisor/Consultant|Department of Defense: Advisor/Consultant|Morehouse School of Medicine: Advisor/Consultant|Northwell Health: Advisor/Consultant Adaora A. Adimora, MD, MPH, Gilead: Advisor/Consultant|Gilead: Grant/Research Support|Merck: Advisor/Consultant|Merck: Grant/Research Support Anjali Sharma, MD, MS, Gilead: Advisor/Consultant|Gilead: Grant/Research Support Jennifer C. Price, MD, PhD, Abbvie: Grant/Research Support|Gilead: Grant/Research Support|Merck: Grant/Research Support Phyllis C. Tien, MD, MSc, Gilead: Grant/Research Support|Merck: Grant/Research Support.

New all-oral regimens for rifampin-resistant tuberculosis (RR-TB) are being scaled up globally. Measurement of drug concentrations in hair assesses long-term drug exposure. Delamanid (DLM) is likely to be a key component of future RR-TB treatment regimens, but a method to describe its quantification in hair via liquid chromatography-tandem mass spectrometry (LC-MS/MS) has not previously been described. We developed and validated a simple, fast, sensitive, and accurate LC-MS/MS method for quantifying DLM and its metabolite DM-6705 in small hair samples. We pulverized and extracted two milligrams of hair in methanol at 37 degrees C for two hours, and diluted 1:1 with water. A gradient elution method eluted DLM, DM-6705, and the internal standard OPC 14714 within 3 min, bringing overall analysis time to 5.5 min. The method has limits of detection (LOD) of 0.0003 ng/mg for DLM and 0.003 ng/mg for DM-6705. The established linear dynamic ranges are 0.003-2.1 ng/mg and 0.03-21 ng/mg for DLM and DM-6705, respectively. Eleven of 12 participant hair samples had concentrations within DLM's linear dynamic range, while all 12 samples had concentrations within the quantifiable range for DM-6705. The ranges of concentrations observed in these clinical samples for DLM and DM-6705 were 0.004-0.264 ng/mg hair and 0.412-12.041 ng/mg hair respectively. We demonstrate that while DLM was detected in hair at very low levels, its primary metabolite DM-6705 had levels approximately 100 times higher. Measuring DM-6705 in hair may accurately reflect long-term adherence to DLM-containing regimens for drug-resistant TB.

BackgroundTreatment monitoring of drug-resistant tuberculosis (DR-TB) in resource-limited settings is challenging. We developed a multi-analyte assay for eleven anti-TB drugs in small hair samples as an objective metric of drug exposure. MethodsSmall hair samples were collected from participants at various timepoints during directly observed RR-TB treatment at an inpatient tertiary referral facility in South Africa (DR-TB cohort). We assessed qualitative determination (i.e., detection above limit of detection) of bedaquiline, linezolid, clofazimine, pretomanid, levofloxacin, moxifloxacin, pyrazinamide, isoniazid, ethambutol, ethionamide, and prothionamide in an LC-MS/MS index panel assay against a reference standard of inpatient treatment records. Because treatment regimens prior to hospitalization were not available, we also analyzed specificity (for all drugs except isoniazid) using an external cohort of HIV-positive patients treated for latent TB infection with daily isoniazid (HIV/LTBI cohort) in Uganda.ResultsAmong the 57 DR-TB patients (58% with pre-XDR/XDR-TB; 70% HIV-positive) contributing analyzable hair samples, the sensitivity of the investigational assay was 94% or higher for all drugs except ethionamide (58.5%, 95% confidence interval [CI], 40.7-99.9). Assay specificity was low across all tested analytes within the DR-TB cohort; conversely, assay specificity was 100% for all drugs in the HIV/LTBI cohort. ConclusionsHair drug concentrations reflect long-term exposure, and multiple successive regimens commonly employed in DR-TB treatment may result in apparent false-positive qualitative and falsely elevated quantitative hair drug levels when prior treatment histories within the hair growth window are not known.

INTRODUCTION: Testing for anti-TB drugs in small hair samples may serve as a non-invasive tool to measure cumulative drug exposure and/or adherence, as these determine treatment success. We aimed to assess how well hair assays of TB drugs predict TB treatment outcomes.METHODS: A small thatch of hair, ~30 strands, was cut from the occipital region in adults and children from a prospective TB cohort in India. Isoniazid (INH), acetyl-INH and pyrazinamide (PZA) were extracted from the hair samples and quantified using liquid-chromatography-tandem mass spectrometry. The relationship between drug concentrations in hair and time to unfavourable outcomes was assessed using Cox-proportional hazards regression models.RESULTS: A two-fold increase in hair acetyl-INH concentrations in the 264 participants in our cohort with hair assays for TB drugs indicated a lower hazard of unfavourable TB treatment outcomes (aHR 0.67, 95%CI 0.44-1.02) and TB treatment failure (aHR 0.65, 95%CI 0.42-1.01). Higher summed concentrations (a summed measure of INH and acetyl-INH) indicated a lower hazard of treatment failure (aHR 0.69, 95%CI 0.45-1.05)CONCLUSION: Hair levels of INH and its metabolite may predict TB treatment outcomes, indicating the potential utility of this measure to assess and optimise TB treatment outcomes.

BACKGROUND:One strategy being pursued to clear latently infected cells that persist in people living with HIV (PLWH) on antiretroviral therapy (ART) is to activate latent HIV infection with a latency reversing agent (LRA). Surrogate markers that accurately measure virus production following an LRA are needed.METHODS:We quantified cell-associated unspliced (US), multiply spliced (MS) and supernatant (SN) HIV RNA by qPCR from total and resting CD4+ T cells isolated from seven PLWH on ART before and after treatment ex vivo with different LRAs, including histone deacetylase inhibitors (HDACi). MS and plasma HIV RNA were also quantified from PLWH on ART (n-11) who received the HDACi panobinostat.FINDINGS:In total and resting CD4+ T cells from PLWH on ART, detection of US RNA was common while detection of MS RNA was infrequent. Primers used to detect MS RNA, in contrast to US RNA, bound sites of the viral genome that are commonly mutated or deleted in PLWH on ART. Following ex vivo stimulation with LRAs, we identified a strong correlation between the fold change increase in SN and MS RNA, but not the fold change increase in SN and US RNA. In PLWH on ART who received panobinostat, MS RNA was significantly higher in samples with detectable compared to non0detectable plasma HIV RNA.INTERPRETATION:Following administration of an LRA, quantification of MS RNA is more likely to reflect an increase in virion production and is therefore a better indicator of meaningful latency reversal.FUNDING:NHMRC, NIH DARE collaboratory.

BACKGROUND:Evaluations of human immunodeficiency virus (HIV) curative interventions require reliable and efficient quantification of replication-competent latent reservoirs. The "classic" quantitative viral outgrowth assay (QVOA) has been regarded as the reference standard, although prohibitively resource and labor intensive. We compared 6 "next-generation" viral outgrowth assays, using polymerase chain reaction or ultrasensitive p24 to assess their suitability as scalable proxies for QVOA.METHODS:Next-generation QVOAs were compared with classic QVOA using single leukapheresis-derived samples from 5 antiretroviral therapy-suppressed HIV-infected participants and 1 HIV-uninfected control; each laboratory tested blinded batches of 3 frozen and 1 fresh sample. Markov chain Monte Carlo methods estimated extra-Poisson variation at aliquot, batch, and laboratory levels. Models also estimated the effect of testing frozen versus fresh samples.RESULTS:Next-generation QVOAs had similar estimates of variation to QVOA. Assays with ultrasensitive readout reported higher infectious units per million values than classic QVOA. Within-batch testing had 2.5-fold extra-Poisson variation (95% credible interval [CI], 2.1-3.5-fold) for next-generation assays. Between-laboratory variation increased extra-Poisson variation to 3.4-fold (95% CI, 2.6-5.4-fold). Frozen storage did not substantially alter infectious units per million values (-18%; 95% CI, -52% to 39%).CONCLUSIONS:The data offer cautious support for use of next-generation QVOAs as proxies for more laborious QVOA, while providing greater sensitivities and dynamic ranges. Measurement of latent reservoirs in eradication strategies would benefit from high throughput and scalable assays.

BACKGROUND:Alcohol, insulin resistance (IR), and hepatitis C (HCV) are all significant contributors to adverse outcomes of chronic liver disease. Latinos are disproportionately affected by these risk factors. We investigated the relationship between alcohol use and insulin action in a prospective cohort of Latino individuals with and without HCV.METHODS:One hundred fifty-three nondiabetic Latino individuals (60 HCV+, 93 HCV-) underwent clinical evaluation and metabolic testing; 56 had repeat testing over a median follow-up of 1.5 years. Peripheral IR and hepatic IR were measured via steady-state plasma glucose (SSPG) and endogenous glucose production during a two-step, 240-min insulin suppression test. Insulin secretion (IS) was measured using the graded glucose infusion test. Alcohol use was categorized as none, moderate (≤1 drink/day for women and ≤2 drinks/day for men), and heavy (>moderate). Multivariable models including HCV status assessed associations of alcohol use with baseline SSPG, hepatic IR and IS, and changes in these parameters over time.RESULTS:Overall, the median age was 44 years, 63.4% were male, 66.7% overweight/ obese, and 31.9% had heavy lifetime alcohol use while 60.4% had moderate lifetime alcohol use. SSPG and IS were similar by levels of alcohol use at baseline and alcohol use was not statistically significantly associated with change in these measures over time. However, lifetime daily heavy alcohol use (vs. not heavy, coef 2.4 μU-mg/kg-min-ml, p = 0.04) and HCV status (coef 4.4 μU-mg/kg-min-ml, p = 0.0003) were independently associated with higher baseline hepatic IR, and current heavy alcohol use was associated with greater change in hepatic IR in follow-up (coef 5.8 μU-mg/kg-min-ml, p = 0.03).CONCLUSIONS:In this cohort of Latino individuals, lifetime and current heavy alcohol use influenced hepatic IR and its change over time. Strategies to decrease rates of heavy alcohol use or increase abstinence along with lifestyle modification and anti-HCV therapy to reduce metabolic risk are critical to prevent adverse liver and metabolic outcomes in Latino individuals.

Plasma drug quantification has a potential role as a biomarker of tuberculosis (TB) treatment adherence, but the utility of short-half-life drugs such as linezolid (1) for adherence monitoring may be limited due to rapid plasma clearance and inability to capture long-term dosing.

Background The worldwide expansion of preexposure prophylaxis (PrEP) with oral tenofovir-disoproxil-fumarate/emtricitabine will be critical to ending the HIV epidemic. However, maintaining daily adherence to PrEP can be difficult, and the accuracy of self-reported adherence is often limited by social desirability bias. Pharmacologic adherence monitoring (measuring drug levels in a biomatrix) has been critical to interpreting PrEP trials, but testing usually requires expensive equipment and skilled personnel. We have recently developed a point-of-care (POC) immunoassay to measure tenofovir in urine, allowing real-time adherence monitoring for the first time. Objective The goal of this study is to examine a point-of-care adherence metric in PrEP to support and increase adherence via a randomized controlled trial. Methods The paper describes the protocol for a pilot randomized controlled trial to test the acceptability, feasibility, and impact on long-term adherence of implementing a POC urine test to provide real-time adherence feedback among women on PrEP. Eligible women (n=100) will be HIV-negative, ≥18 years old, and recruited from a clinic in Kenya that provides PrEP. Participants will be randomized 1:1 to the intervention of providing real-time feedback via the assay versus standard of care adherence counseling. Acceptability by participants will be assessed by a quantitative survey, as well as by qualitative data collected via in-depth interviews (n=20) and focus group discussions (n=4 groups, 5-10 women each). Feasibility will be assessed by the proportion of women retained in the study, the mean number of missed visits, the proportion of planned urine assessments completed, and messages delivered, while in-depth interviews with providers (n=8) will explore the ease of administering the urine test. Tenofovir levels in hair will serve as long-term adherence metrics. A linear mixed-effects model will estimate the effect of the intervention versus standard of care on logarithmically transformed levels of tenofovir in hair. Results This study has been funded by the National Institute of Health, approved by the Kenya Medical Research Institute Institutional Review Board, and will commence in June 2020. Conclusions A novel urine assay to measure and deliver information on adherence to PrEP in real-time will be tested for the first time in this trial planned among women on PrEP in Kenya. Study findings will inform a larger-scale trial assessing the impact of real-time adherence monitoring/feedback on HIV prevention. Improving adherence to PrEP will have long-term implications for efforts to end the HIV epidemic worldwide. Trial Registration ClinicalTrials.gov NCT03935464; https://clinicaltrials.gov/ct2/show/NCT03935464 International Registered Report Identifier (IRRID) PRR1-10.2196/15029

BACKGROUND:Food insecurity is a well-established determinant of suboptimal, self-reported antiretroviral therapy (ART) adherence, but few studies have investigated this association using objective adherence measures. We examined the association of food insecurity with levels of ART concentrations in hair among women living with human immunodeficiency virus (WLHIV) in the United States. METHODS:We analyzed longitudinal data collected semiannually from 2013 through 2015 from the Women's Interagency HIV Study, a multisite, prospective, cohort study of WLHIV and controls not living with HIV. Our sample comprised 1944 person-visits from 677 WLHIV. Food insecurity was measured using the US Household Food Security Survey Module. ART concentrations in hair, an objective and validated measure of drug adherence and exposure, were measured using high-performance liquid chromatography with mass spectrometry detection for regimens that included darunavir, atazanavir, raltegravir, or dolutegravir. We conducted multiple 3-level linear regressions that accounted for repeated measures and the ART medication(s) taken at each visit, adjusting for sociodemographic and clinical characteristics. RESULTS:At baseline, 67% of participants were virally suppressed and 35% reported food insecurity. In the base multivariable model, each 3-point increase in food insecurity was associated with 0.94-fold lower ART concentration in hair (95% confidence interval, 0.89 to 0.99). This effect remained unchanged after adjusting for self-reported adherence. CONCLUSIONS:Food insecurity was associated with lower ART concentrations in hair, suggesting that food insecurity may be associated with suboptimal ART adherence and/or drug absorption. Interventions seeking to improve ART adherence among WLHIV should consider and address the role of food insecurity.

To analyze the effect of an interactive, patient-centered decision tool on TOLAC and VBAC rates among English- or Spanish-speaking TOLAC-eligible women. In this multicenter RCT, women at 12+0 to 24+6 weeks with one prior cesarean and no contraindication to TOLAC were randomized to use a tablet-based decision tool or to receive usual care and counseling. The decision tool included a personalized assessment of likelihood of VBAC based on the NICHD VBAC calculator, information regarding the processes and potential outcomes of TOLAC and ERCD, and values clarification questions to help women identify the aspects of approach to delivery that were most important to them. Clinical outcomes were ascertained via chart review. Decision quality outcomes were obtained via phone interview at 34-37 weeks of gestation. From January 2016 through January 2019, 1485 women were randomized at institutions in Boston, Chicago, and the San Francisco Bay Area. Baseline characteristics were similar between arms. 98% of participants had follow up information available for the primary outcome. TOLAC rates were similar in both arms (43.3% and 46.2% in the intervention and usual care arms, respectively; P=0.28), as were VBAC rates and other clinical outcomes (Table). Decision quality as measured by knowledge, decisional conflict, decision self-efficacy, decision satisfaction, and patient perception of shared decision making also was similar in both arms. A priori interaction analyses showed no statistically significant effect modification of the association between group assignment and TOLAC or VBAC by geographic region, language, or race/ethnicity (P≥0.26 for all interactions). Exposure to a decision tool regarding approach to delivery after cesarean did not substantially impact TOLAC or VBAC rates, or decision quality, in this group of women. Whether this tool would have more efficacy in a population of women with lower overall TOLAC/VBAC rates remains to be determined.

Importance Reducing cesarean delivery rates in the US is an important public health goal; despite evidence of the safety of vaginal birth after cesarean delivery, most women have scheduled repeat cesarean deliveries. A decision support tool could help increase trial-of-labor rates. Objective To analyze the effect of a patient-centered decision support tool on rates of trial of labor and vaginal birth after cesarean delivery and decision quality. Design, Setting, and Participants Multicenter, randomized, parallel-group clinical trial conducted in Boston, Chicago, and the San Francisco Bay area. A total of 1485 English- or Spanish-speaking women with 1 prior cesarean delivery and no contraindication to trial of labor were enrolled between January 2016 and January 2019; follow-up was completed in June 2019. Interventions Participants were randomized to use a tablet-based decision support tool prior to 25 weeks' gestation (n=742) or to receive usual care (without the tool) (n=743). Main Outcomes and Measures The primary outcome was trial of labor; vaginal birth was the main secondary outcome. Other secondary outcomes focused on maternal and neonatal outcomes and decision quality. Results Among 1485 patients (mean age, 34.0 [SD, 4.5] years), 1470 (99.0%) completed the trial (n = 735 in both randomization groups) and were included in the analysis. Trial-of-labor rates did not differ significantly between intervention and control groups (43.3% vs 46.2%, respectively; adjusted absolute risk difference, -2.78% [95% CI, -7.80% to 2.25%]; adjusted relative risk, 0.94 [95% CI, 0.84-1.05]). There were no statistically significant differences in vaginal birth rates (31.8% in both groups; adjusted absolute risk difference, -0.04% [95% CI, -4.80% to 4.71%]; adjusted relative risk, 1.00 [95% CI, 0.86-1.16]) or in any of the other 6 clinical maternal and neonatal secondary outcomes. There also were no significant differences between the intervention and control groups in the 5 decision quality measures (eg, mean decisional conflict scores were 17.2 and 17.5, respectively; adjusted mean difference, -0.38 [95% CI, -1.81 to 1.05]; scores >25 are considered clinically important). Conclusions and Relevance Among women with 1 previous cesarean delivery, use of a decision support tool compared with usual care did not significantly change the rate of trial of labor. Further research may be needed to assess the efficacy of this tool in other clinical settings or when implemented at other times in pregnancy.