Faculty Bibliography

HIV pre-exposure prophylaxis (PrEP) is a highly effective prevention strategy, yet awareness, knowledge, and willingness to use it among people who inject drugs (PWID) remains inadequate despite widespread eligibility. Stigma, particularly HIV-stigmatizing beliefs and attitudes, may be a key barrier to engagement at early stages of the PrEP care continuum. We examine how HIV-stigmatizing beliefs and attitudes affect PrEP awareness, knowledge, and willingness among PWID. We surveyed 262 HIV-negative PWID in Los Angeles and Denver (2021-2023) and used structural equation modeling to examine associations between HIV-stigmatizing beliefs and attitudes (11-item validated scale with α = 0.899 and 1-factor structure) and three early PrEP outcomes: awareness, knowledge, and willingness, while controlling for race/ethnicity, gender, housing status, and conducted sub-analyses on willingness to use long-acting injectable PrEP. HIV-stigmatizing beliefs and attitudes were significantly associated with lower PrEP awareness (β - 0.212, p < 0.001) and less accurate knowledge (β - 0.179, p = 0.006). Accurate knowledge was associated with greater willingness to use PrEP (β 0.175, p = 0.027). Black, Indigenous, and Other Persons of Color (BIPOC) participants reported higher HIV-stigmatizing beliefs and attitudes than non-Hispanic White participants (β 0.196, p = 0.003). Over half (56%) of participants were willing to take daily oral PrEP once informed, and many were interested in long-acting injectable PrEP. HIV-stigmatizing beliefs and attitudes are associated with lower PrEP care continuum engagement among PWID, particularly through limiting awareness and understanding of PrEP. BIPOC participants reported higher levels of stigmatizing attitudes, suggesting that broader structural and intersectional stigma may shape PrEP engagement, consistent with prior research. Interventions to increase PrEP uptake should address both individual- and structural-level stigma and consider leveraging peer networks and community supports to foster resilience and improve equitable access to HIV prevention tools.

An important goal of precision medicine is to personalize medical treatment by identifying individuals who are most likely to benefit from a specific treatment. The likely responder (LR) framework, which identifies a subpopulation where treatment response is expected to exceed a certain clinical threshold, plays a role in this effort. However, the LR framework, and more generally, data-driven subgroup analyses, often fail to account for uncertainty in the estimation of model-based data-driven subgrouping. We propose a simple two-stage approach that integrates subgroup identification with subsequent subgroup-specific inference on treatment effects. We incorporate model estimation uncertainty from the first stage into subgroup-specific treatment effect estimation in the second stage, by utilizing Bayesian posterior distributions from the first stage. We evaluate our method through simulations, demonstrating that the proposed Bayesian two-stage model produces better calibrated confidence intervals than naïve approaches. We apply our method to an international COVID-19 treatment trial, which shows substantial variation in treatment effects across data-driven subgroups.

PURPOSE/OBJECTIVE:Fertility preservation (FP) is essential for adolescents and young adults (AYAs) with cancer aged 15-39, yet gaps persist in guideline-concordant care. Despite American Society of Clinical Oncology (ASCO)'s 2018 recommendations, clinician and systemic barriers hinder timely FP counseling. Allied health care professionals (AHPs) play a critical role in supporting patient education and support. This study examined AHPs' conceptualizations of optimal FP care, assessed alignment with ASCO guidelines, and identified facilitators and barriers to implementation. METHODS:This study analyzed data from Cohort 4 (2020) of the Enriching Communication Skills for Health Professionals in Oncofertility (ECHO) program, an 8-week web-based training for AHPs on AYA reproductive health communication. A directed content analysis was used to qualitatively examine factors influencing FP care delivery. Multilevel themes were analyzed to identify potential mechanisms to facilitate optimal FP care, resources needed for implementation, and barriers to FP patient education. RESULTS:Among 130 AHPs (92% female, 72% White), most were social workers (29%) or oncology nurses (25%), working in academic cancer centers (49%). Alignment with ASCO guidelines was observed in fertility risk discussions (72%) and specialist referrals (56%). Key facilitators included patient education (46%), clinician training (48%), and interdisciplinary collaboration (47%). Primary barriers identified were systemic challenges (20%), including financial constraints, limited institutional resources, and time pressures. CONCLUSION/CONCLUSIONS:AHPs demonstrated strong commitment to advancing FP care for AYAs with some alignment to ASCO guidelines. Persistent gaps in psychosocial support and system-level resources highlight the need for expanded clinician education, stronger interdisciplinary networks, and institutional prioritization to ensure equitable, developmentally appropriate FP care.

OBJECTIVE:Pediatric Long COVID (LC) is an infection-associated chronic condition following SARS-CoV-2 infection. While research has begun to elucidate clinical phenotypes, functional impacts are not well described. METHODS:Cross-sectional data from the NIH-funded Researching COVID to Enhance Recovery (RECOVER) pediatric observational cohort was analyzed to assess associations in school-age children (6 to 11 years) and adolescents (12 to 17 years) between LC and caregiver-reported school-related functional outcomes. LC was defined using RECOVER age group-specific symptom-based LC research indices. The primary outcome was worsening of child grades. Secondary outcomes included difficulty paying attention, limited fun with friends, and having an Individualized Education Program (IEP). Using age-stratified analyses, children with and without LC were matched based on age, sex, and dates of infection and enrollment, to estimate risk ratios (RRs) between LC and each outcome. RESULTS:The cohort included 1,976 children (406 school-age, 1,570 adolescent). 18% of school-age children and 29% of adolescents with LC had reported worsened grades, compared to 7% and 11% without LC, respectively [school-age: adjusted RR 2.18 (95% CI: 1.15-4.11); adolescent: adjusted RR 2.39 (95% CI: 1.86-3.06)]. In both age groups, children with LC were more likely to have difficulty paying attention, limited fun with friends, and IEPs. CONCLUSIONS:LC in school-age children and adolescents was negatively associated with functional school-related outcomes, including academic performance, attention, and peer interactions. As LC affects a substantial proportion of U.S. children, these findings highlight the urgent need to develop, provide, and evaluate school-related services for children and adolescents with LC.

BACKGROUND/UNASSIGNED:Adolescent blood pressure guidelines rely on expert consensus because evidence on cardiovascular outcomes is limited. This study aimed to examine the link between adolescent blood pressure indices and early cardiovascular events. METHODS/UNASSIGNED:We conducted a cohort study among 902 741 adolescents aged 16 to 19 years who were evaluated for mandatory service from 1979 to 2019, excluding those with preexisting cardiometabolic conditions. Individuals were followed until 50 or death or insurance loss or December 31, 2021, whichever occurred first. Exposures included baseline blood pressure and American Academy of Pediatrics categories: normal (<120/<80), elevated (120/<80-129/<80), stage 1 (130/80-139/89), stage 2 (≥140/90), and hypertension (clinical diagnosis). The primary outcome was incident cardiovascular events (ischemic heart disease or cerebrovascular disease). Hazard ratios were estimated using Cox models adjusted for demographic, socioeconomic, and clinical confounders. RESULTS/UNASSIGNED:During over 18 million person-years of follow-up, 6305 cardiovascular disease events were recorded, yielding an incidence rate of 0.35 per 1000 person-years. Increased diastolic, systolic, and mean arterial blood pressure were significantly associated with increased risk. Compared with the Normal group, adjusted hazard ratios for cardiovascular disease were 1.14 (95% CI, 1.08-1.22) for stage 1, 1.31 (1.20-1.44) for stage 2, and 2.42 (1.87-3.12) for hypertension. Risk in the stage 1 category was particularly sensitive to diastolic blood pressure. CONCLUSIONS/UNASSIGNED:Higher blood pressure indices during adolescence were strongly associated with an elevated risk of early cardiovascular disease, highlighting the potential need to refine current guidelines to better reflect cardiovascular risk.

BACKGROUND/UNASSIGNED:Pregnancy requires finely tuned immune changes that support implantation, placental development, maternal-fetal tolerance, and preparation for labor, yet the normative trajectories of circulating inflammatory proteins across gestation remain poorly defined. This cross-sectional study investigates how circulating inflammatory proteins vary with gestational age in pregnancy and examines the impacts of fundamental biological characteristics, such as gravidity and fetal sex. METHODS/UNASSIGNED:Data were drawn from 1154 pregnant individuals from six study sites of the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) Cohort. We used Olink high-throughput proteomic profiling to map cross-sectional associations between protein expression levels and gestational age at blood draw using linear, spline-based, and generalized additive modeling approaches. RESULTS/UNASSIGNED:Generalized additive models provided the best fit, revealing that immune changes across pregnancy were predominantly nonlinear. Sixty-one proteins showed significant associations with gestational age, with many exhibiting shared inflection points that aligned with major physiological transitions. A small subset of proteins also showed evidence of modification by fetal and maternal characteristics. CD244 displayed different gestational patterns by fetal sex, while CST5 and SIRT2 showed varied gestational associations by maternal gravidity. CONCLUSION/UNASSIGNED:The findings highlight pregnancy as a sequence of coordinated immune transitions rather than a simple linear shift and provide one of the most detailed characterizations to date of circulating inflammatory protein dynamics across human gestation. Establishing these normative trajectories offers a crucial reference for detecting early deviations that may signal risk for pregnancy complications and for identifying biomarkers in maternal and fetal health research.

Oxidative stress, an imbalance between reactive oxygen species and antioxidants, has been linked to impaired placental function and suboptimal fetal growth, yet trimester-specific associations remain poorly understood. We examined 561 mother-infant pairs from The Infant Development and Environmental Study (TIDES), measuring maternal urinary biomarkers of DNA oxidation (8- hydroxydeoxyguanosine (8-OHdG)), lipid peroxidation (malondialdehyde (MDA), and F2-isoprostanes), and protein oxidation (dityrosine (diY)) at first and second trimesters. Using generalized linear models, we examined prospective associations between oxidative stress and ultrasound-derived growth velocities. Early pregnancy oxidative stress biomarkers were persistently associated with reduced second and third trimester growth velocities. First trimester lipid peroxidation markers (8-PGF2α, 15-PGF2α, and 8,15-PGF2α) were associated with slower estimated fetal weight growth velocity in both second trimester (-0.81, -0.93, and -1.72 g/week per log-unit increase, respectively) and third trimester (-4.25, -5.60, and -6.74 g/week). Similarly, first trimester 8-OHdG and diY were associated with both second trimester (-1.31 and -1.17 g/week, respectively) and third trimester estimated fetal weight velocity (-8.01 and -6.75 g/week, respectively). Second trimester 8-OHdG and MDA were associated with slower third trimester estimated fetal weight velocity (-8.57 and -9.25 g/week, respectively). These results provide novel insights into trimester-specific associations between oxidative stress and fetal growth.

IMPORTANCE/UNASSIGNED:Artificial intelligence (AI)-enabled scribes have been proposed to reduce electronic health record (EHR) burden and improve clinician satisfaction. There is limited evidence about their associated results across multiple sites and relative benefits for different clinician groups. OBJECTIVE/UNASSIGNED:To assess the association of AI scribe adoption with changes in EHR time expenditure and visit volume and how associations vary by clinician characteristics. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:Multisite, longitudinal cohort study of AI scribe adoption conducted at 5 US academic health care institutions that introduced AI scribes to their clinicians between June 2023 and August 2025. Participants were ambulatory clinicians. EXPOSURES/UNASSIGNED:AI scribe adoption, defined as receiving access to an AI scribe. This was determined by opt-in decisions by eligible physicians at 4 of the 5 sites. MAIN OUTCOME AND MEASURES/UNASSIGNED:Total time spent on the EHR, time spent on documentation, and time spent on the EHR outside scheduled hours or on unscheduled days, all normalized to 8 scheduled patient hours; weekly visit volume. RESULTS/UNASSIGNED:The sample comprised 8581 clinicians, including 1809 AI scribe adopters. Participants were 57.1% female and were split between primary care (24.4%), medical (62.4%), and surgical (13.2%) specialties. Most (74.1%) were attending physicians, with 18.1% advanced practice clinicians and 7.8% resident physicians. In a difference-in-differences analysis, AI scribe adoption was associated with 13.4 (95% CI, 9.1-17.7) fewer minutes of EHR time, 16.0 (95% CI, 13.7-18.3) fewer minutes of documentation time, and 0.49 (95% CI, 0.17-0.81) additional weekly visits delivered. Electronic health record time outside work hours did not change significantly. Changes associated with AI scribe adoption were greatest for primary care specialists, advanced practice clinicians, female clinicians, and clinicians who used AI scribes in 50% or more of visits. CONCLUSIONS AND RELEVANCE/UNASSIGNED:AI scribe adoption was associated with modest decreases in total EHR time and documentation time and with a modest increase in weekly visit volume.