Faculty Bibliography

BACKGROUND:Early initiation of prenatal care is widely accepted to improve the health outcomes of pregnancy for both mothers and their infants. Identification of the various barriers to entry into care that patients experience may inform and improve health care provision and, in turn, improve the patient's ability to receive necessary care. AIM/OBJECTIVE:This study implements a mixed-methods approach to establish methods and procedures for identifying barriers to early entry to prenatal care in a medically-vulnerable patient population and areas for future quality improvement initiatives. METHODS:An initial chart review was conducted on obstetrics patients that initiated prenatal care after their first trimester at a large federally qualified health center in Brooklyn, NY, to determine patient-specified reasons for delay. A thematic analysis of these data was implemented in combination with both parametric and non-parametric analyses to characterize the population of interest, and to identify the primary determinants of delayed entry. RESULTS:The age of patients in the population of interest (n = 169) was bimodal, with a range of 15 - 43 years and a mean of 28 years. The mean gestational age of entry into prenatal care was 19 weeks. The chart review revealed that 8% recently moved to Brooklyn from outside of NYC or the USA. Nine percent had difficulty scheduling an initial prenatal visit within their first trimester. Teenage pregnancy accounted for 7%. Provider challenges with documentation (21%) were noted. The most common themes identified (n = 155) were the patient being in transition (21%), the pregnancy being unplanned (17%), and issues with linkage to care (15%), including no shows or patient cancellations. Patients who were late to prenatal care also differed from their peers dramatically, as they were more likely to be Spanish-speaking, to be young, and to experience a relatively long delay between pregnancy confirmation and entry into care. Moreover, the greatest determinant of delayed entry into care was patient age. CONCLUSION/CONCLUSIONS:Our study provides a process for other like clinics to identify patients who are at risk for delayed entry to prenatal care and highlight common barriers to entry. Future initiatives include the introduction of a smart data element to document reasons for delay and use of community health workers for dedicated outreach after no show appointments or patient cancellations.

OBJECTIVE:There are persistent disparities in pediatric asthma morbidity in the U.S. We linked claims data with information on neighborhood-level risk factors to explore drivers of asthma disparities among Medicaid-enrolled children in New York City subsidized housing. METHODS:We constructed a cohort of Medicaid-enrolled children living in public or other subsidized housing, based on residential address, in NYC between 2016 and 2019 (n = 108,969). We examined claims-derived asthma prevalence across age and racial and ethnic groups, integrating census tract-level information and using the Bayesian Improved Surname Geocoding (BISG) algorithm to address high rates of missing data in self-reported race and ethnicity. We used inverse probability weighting (IPW) to explore the extent to which disparities persisted when exposure to asthma risk factors - related to the built environment, neighborhood poverty, and air quality - were balanced across groups. This analysis was conducted in 2022-2023. RESULTS:Claims-derived asthma prevalence was highest among children <7 years at baseline and among non-Hispanic Black and Hispanic children. For example, among children aged 3-6 years at baseline, claims-derived prevalence was 17.3% and 18.1% among non-Hispanic Black and Hispanic children, respectively, compared to 9.3% and 9.0% among non-Hispanic White and non-Hispanic Asian American/Pacific Islander children. Using IPW to balance exposure to asthma risk factors across racial and ethnic groups attenuated, but did not eliminate, disparities in asthma prevalence. CONCLUSIONS:We found high asthma burden among children living in subsidized housing. Modifiable place-based characteristics may be important contributors to pediatric asthma disparities.

BACKGROUND:Despite documented associations between social determinants of health and outcomes post-congenital heart surgery, clinical risk models typically exclude these factors. OBJECTIVES/OBJECTIVE:The study sought to characterize associations between social determinants and operative and longitudinal mortality as well as assess impacts on risk model performance. METHODS:Demographic and clinical data were obtained for all congenital heart surgeries (2006-2021) from locally held Congenital Heart Surgery Collaborative for Longitudinal Outcomes and Utilization of Resources Society of Thoracic Surgeons Congenital Heart Surgery Database data. Neighborhood-level American Community Survey and composite sociodemographic measures were linked by zip code. Model prediction, discrimination, and impact on quality assessment were assessed before and after inclusion of social determinants in models based on the 2020 Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model. RESULTS:Of 14,173 total index operations across New York State, 12,321 cases, representing 10,271 patients at 8 centers, had zip codes for linkage. A total of 327 (2.7%) patients died in the hospital or before 30 days, and 314 children died by December 31, 2021 (total n = 641; 6.2%). Multiple measures of social determinants of health explained as much or more variability in operative and longitudinal mortality than clinical comorbidities or prior cardiac surgery. Inclusion of social determinants minimally improved models' predictive performance (operative: 0.834-0.844; longitudinal 0.808-0.811), but significantly improved model discrimination; 10.0% more survivors and 4.8% more mortalities were appropriately risk classified with inclusion. Wide variation in reclassification was observed by site, resulting in changes in the center performance classification category for 2 of 8 centers. CONCLUSIONS:Although indiscriminate inclusion of social determinants in clinical risk modeling can conceal inequities, thoughtful consideration can help centers understand their performance across populations and guide efforts to improve health equity.

Natural selection on complex traits is difficult to study in part due to the ascertainment inherent to genome-wide association studies (GWAS). The power to detect a trait-associated variant in GWAS is a function of frequency and effect size - but for traits under selection, the effect size of a variant determines the strength of selection against it, constraining its frequency. To account for GWAS ascertainment, we propose studying the joint distribution of allele frequencies across populations, conditional on the frequencies in the GWAS cohort. Before considering these conditional frequency spectra, we first characterized the impact of selection and non-equilibrium demography on allele frequency dynamics forwards and backwards in time. We then used these results to understand conditional frequency spectra under realistic human demography. Finally, we investigated empirical conditional frequency spectra for GWAS variants associated with 106 complex traits, finding compelling evidence for either stabilizing or purifying selection. Our results provide insight into polygenic score portability and other properties of variants ascertained with GWAS, highlighting the utility of conditional frequency spectra.

Parent-child dysfunctional interactions (PCDI) are known to contribute to children's weight status. However, the underlying mechanisms in how dysfunctional interactions between parent and child influence child weight are not clear. This study investigates the impact of PCDI on toddlers' weight, focusing on the potential serial mediation by maternal emotional feeding and child appetite traits. We conducted a secondary analysis of longitudinal data from a larger intervention trial to prevent childhood obesity in low-income Hispanic families. A total of 241 mother-child dyads were included in these analyses. Measurements were taken at various stages: PCDI at child age 19 months, maternal emotional feeding at 28 months, and both child appetite traits and weight-for-age z-score (WFAz) at 36 months. Serial mediation analyses revealed a significant indirect effect of early PCDI on later child WFAz through maternal emotional feeding and two child food approach traits (food responsiveness, emotional overeating) out of the eight child appetite traits assessed. PCDI at 19 months was associated with increased use of emotional feeding in mothers at 28 months, which was associated with heightened food responsiveness and emotional overeating in children at 36 months, which in turn was linked to greater child WFAz at 36 months. The findings of this study expand the understanding of the mechanisms underlying PCDI and child weight, emphasizing the interplay between maternal feeding practices and child appetite in the context of adverse parent-child interactions during early childhood.

OBJECTIVE:Maternal vitamin D level is an important determinant of pregnancy and child health outcomes. Exposure to air pollution is suspected to increase the risk of vitamin D deficiency, but the evidence is scarce. We investigated the association between air pollution during pregnancy and maternal vitamin D levels. METHODS:A total of 15,935 pregnant women from 5 birth cohorts in Europe and U.S were included. Averaged concentrations of nitrogen oxides, fine and coarse particles, and composition of fine particles from conception until vitamin D measurement were estimated at participants' residential addresses using land-use regression or other spatiotemporal models. Cohorts measured vitamin D as 25(OH)D or 25(OH)D3 levels in serum or plasma at early or mid-pregnancy. We defined suboptimal vitamin D levels as levels below 20 ng/mL. We performed logistic regression models for each cohort to estimate the association between air pollution exposure and suboptimal vitamin D levels and pooled cohort-specific estimates in a random-effect meta-analysis. Models were adjusted for sociodemographic and lifestyle characteristics and month of conception. RESULTS:We found an association between PM2.5 and higher odds of suboptimal vitamin D levels (i.e., below 20 ng/mL) (odds ratio per 5 μg/m3 increase in PM2.5, 1.43 95%CI: 1.02, 1.99). There was no association between other air pollutant exposure and vitamin D levels. CONCLUSIONS:PM2.5 exposure might contribute to suboptimal levels of vitamin D in pregnancy. Reducing air pollution exposure should be a priority because vitamin D deficiency may adversely influence offspring development.

BACKGROUND:Mild traumatic brain injury is theorized to cause widespread functional changes to the brain. Resting-state fMRI may be able to measure functional connectivity changes after traumatic brain injury, but resting-state fMRI studies are heterogeneous, using numerous techniques to study ROIs across various resting-state networks. PURPOSE/OBJECTIVE:We systematically reviewed the literature to ascertain whether adult patients who have experienced mild traumatic brain injury show consistent functional connectivity changes on resting-state -fMRI, compared with healthy patients. DATA SOURCES/METHODS:We used 5 databases (PubMed, EMBASE, Cochrane Central, Scopus, Web of Science). STUDY SELECTION/METHODS:Five databases (PubMed, EMBASE, Cochrane Central, Scopus, and Web of Science) were searched for research published since 2010. Search strategies used keywords of "functional MR imaging" and "mild traumatic brain injury" as well as related terms. All results were screened at the abstract and title levels by 4 reviewers according to predefined inclusion and exclusion criteria. For full-text inclusion, each study was evaluated independently by 2 reviewers, with discordant screening settled by consensus. DATA ANALYSIS/METHODS:Data regarding article characteristics, cohort demographics, fMRI scan parameters, data analysis processing software, atlas used, data characteristics, and statistical analysis information were extracted. DATA SYNTHESIS/RESULTS:Across 66 studies, 80 areas were analyzed 239 times for at least 1 time point, most commonly using independent component analysis. The most analyzed areas and networks were the whole brain, the default mode network, and the salience network. Reported functional connectivity changes varied, though there may be a slight trend toward decreased whole-brain functional connectivity within 1 month of traumatic brain injury and there may be differences based on the time since injury. LIMITATIONS/CONCLUSIONS:Studies of military, sports-related traumatic brain injury, and pediatric patients were excluded. Due to the high number of relevant studies and data heterogeneity, we could not be as granular in the analysis as we would have liked. CONCLUSIONS:Reported functional connectivity changes varied, even within the same region and network, at least partially reflecting differences in technical parameters, preprocessing software, and analysis methods as well as probable differences in individual injury. There is a need for novel rs-fMRI techniques that better capture subject-specific functional connectivity changes.

PURPOSE/OBJECTIVE:Globally, the number of children/adolescents exposed to HIV but uninfected (HIV-exposed uninfected, HEU) is growing. The HEU outcomes: population-evaluation and screening strategies study was designed to provide population-level evidence of the impact of HIV and recent antiretroviral therapy regimen exposure on neurodevelopmental, hearing and mental health outcomes from infancy to adolescence. PARTICIPANTS/METHODS:The study includes a prospective mother-infant cohort and cross-sectional child/youth-caregiver cohorts conducted in Kenya.Between 2021 and 2022, the study enrolled 2000 mother-infant pairs (1000 HEU and 1000 HIV-unexposed uninfected (HUU)) for longitudinal follow-up. Infants were eligible if they were aged 4-10 weeks and healthy. Mothers were eligible if their HIV status was known and were ≥18 years. Study visits are 6 monthly until the child reaches age 3 years.Cross-sectional cohorts spanning ages 3-18 years started enrolment in 2022. Target enrolment is 4400 children/youth (4000 HEU and 400 HUU). Children and youth are eligible if they are HIV negative, maternal HIV status and timing of diagnosis is known, and caregivers are ≥18 years.Data on infant/child/youth growth, neurodevelopment, mental health, morbidity and hearing are collected at enrolment using standardised tools. Dry blood spots samples are collected for telomere length assessment at baseline and yearly for the longitudinal cohort. Growth z-scores, neurodevelopmental scores, telomere length and prevalence of developmental and hearing problems will be compared between HEU/HUU populations. FINDINGS TO DATE/RESULTS:Full cohort enrolment for the longitudinal cohort is complete and participants are in follow-up. At 1 year of age, comparing HEU to HUU neurodevelopment using the Malawi developmental assessment tool, we found that HEU infants had higher language scores and comparable scores in fine motor, gross motor and social scores. The cross-sectional cohort has enrolled over 2000 participants and recruitment is ongoing. FUTURE PLANS/UNASSIGNED:Longitudinal cohort follow-up and enrolment to the cross-sectional study will be completed in June 2024.

BACKGROUND:Metabolites represent a read-out of cellular processes underlying states of health and disease. METHODS:We evaluated cross-sectional and longitudinal associations between 1255 serum and 1398 urine known and unknown (denoted with "X" in name) metabolites (Metabolon HD4, 721 detected in both biofluids) and kidney function in 1612 participants of the Atherosclerosis Risk in Communities (ARIC) Study. All analyses were adjusted for clinical and demographic covariates, including for baseline eGFR and UACR in longitudinal analyses. RESULTS:At visit 5 of the ARIC study, the mean age of participants was 76 years (SD 6), 56% were women, mean eGFR was 62 ml/min/1.73m2 (SD 20), and median urine albumin-to-creatinine level (UACR) was 13 mg/g (IQR 25). In cross-sectional analysis, 675 serum and 542 urine metabolites were associated with eGFR (Bonferroni-corrected p < 4.0E-5 for serum analyses and p < 3.6E-5 for urine analyses), including 248 metabolites shared across biofluids. Fewer metabolites (75 serum and 91 urine metabolites, including 7 shared across biofluids) were cross-sectionally associated with albuminuria. Guanidinosuccinate, N2,N2-dimethylguanosine, hydroxy-N6,N6,N6-trimethyllysine, X-13844, and X-25422 were significantly associated with both eGFR and albuminuria. Over a mean follow-up of 6.6 years, serum mannose (HR 2.3 [1.6,3.2], p = 2.7E-5) and urine X-12117 (HR 1.7 [1.3,2.2], p = 1.9E-5) were risk factors for UACR doubling, whereas urine sebacate (HR 0.86 [0.80,0.92], p = 1.9E-5) was inversely associated. Compared to clinical characteristics alone, including the top 5 endogenous metabolites in serum and urine associated with longitudinal outcomes improved the outcome prediction (AUCs for eGFR decline: clinical model = 0.79, clinical + metabolites model = 0.87, p = 8.1E-6; for UACR doubling: clinical model = 0.66, clinical + metabolites model = 0.73, p = 2.9E-5). CONCLUSIONS:Metabolomic profiling in different biofluids provided distinct and potentially complementary insights into the biology and prognosis of kidney diseases.

BACKGROUND:Vietnam is experiencing a growing burden of cancer, including among people living with HIV. Stigma acts as a sociocultural barrier to the prevention and treatment of both conditions. This study investigates how cultural notions of "respected personhood" (or "what matters most") influence manifestations of HIV-related stigma and cancer stigma in Hanoi, Vietnam. METHODS:Thirty in-depth interviews were conducted with people living with HIV in Hanoi, Vietnam. Transcripts were thematically coded via a directed content analysis using the What Matters Most conceptual framework. Coding was done individually and discussed in pairs, and any discrepancies were reconciled in full-team meetings. RESULTS:Analyses elucidated that having chữ tín-a value reflecting social involvement, conscientiousness, and trustworthiness-and being successful (eg, in career, academics, or one's personal life) are characteristics of respected people in this local cultural context. Living with HIV and having cancer were seen as stigmatized and interfering with these values and capabilities. Intersectional stigma toward having both conditions was seen to interplay with these values in some ways that had distinctions compared with stigma toward either condition alone. Participants also articulated how cultural values like chữ tín are broadly protective against stigmatization and how getting treatment and maintaining employment can help individuals resist stigmatization's most acute impacts. CONCLUSIONS:HIV-related and cancer stigma each interfere with important cultural values and capabilities in Vietnam. Understanding these cultural manifestations of these stigmas separately and intersectionally can allow for greater ability to measure and respond to these stigmas through culturally tailored intervention.