The Uptake of Telemedicine in Obstetric Care During the Early Acute Phase of the Coronavirus 2019 Pandemic.

Introduction: The early acute phase of the coronavirus disease 2019 pandemic created rapid adaptation in health care delivery. Methods: Using electronic medical record data from two different institutions located in two different states, we examined how telemedicine was integrated into obstetric care. Results: With no telemedicine use prior, both institutions rapidly incorporated telemedicine into prenatal care (PNC). There were significant patient-level and institutional-level differences in telemedicine use. Telemedicine users initiated PNC earlier and had more total visits, earlier timing of ultrasounds, and earlier diabetes screening during pregnancy compared with nonusers. There were no significant differences in delivery mode or stillbirth associated with telemedicine use at either institution. Conclusions: Rapid adoption of obstetric telemedicine maintained adequate prenatal care provision during the early pandemic, but implementation varied across institutions.

Equitable Representation of Race, Ethnicity, and Ancestry Among Genomic Studies of Preterm Birth: A Systematic Review.

We conducted a systematic review of representation of race, ethnicity, and ancestry among genomic studies of preterm birth. Our data sources included CINHAL, EMBASE, MEDLINE (PubMed), and Scopus. Studies were included if they were human, genomic studies of preterm birth that analyzed greater than 1,000 genes and included race, ethnicity, and/or ancestry information. Two authors independently reviewed all abstracts and full-text manuscripts. Twelve studies were included. Ancestry was reported for 139,189 (93.6%) participants. Race was reported for 4,841 (3.3%) participants and ethnicity was reported for 7,154 (5.0%) participants. Of the 148,644 births represented in this systematic review, over 90% were reported to be of European ancestry, and race and ethnicity were not further described. When examining the smaller subset of individuals described by race alone, 2,444 individuals were identified as Black or African American and 1,853 were identified as White. Race, ethnicity, and ancestry were not reported in a uniform manner, which makes ascertainment of the genetic contribution to population differences in preterm birth inequities impossible. When reported as race, ethnicity and ancestry, Black or African American populations were under-represented among the studies in this review. Research of the genomics of preterm birth not only requires increased representation of populations that are disproportionately affected, but it also requires standardized reporting of race, ethnicity, and ancestry.

Giving Birth With a Midwife in Attendance: Associations of Race and Insurance Status With Continuity of Midwifery Care in Philadelphia.

INTRODUCTION: From 2013 to 2019, Black women comprised 73% of pregnancy-related deaths in Philadelphia. There is currently a dearth of research on the continuity of midwifery care from initiation of prenatal care through birth in relation to characteristics such as race/ethnicity and income. The aim of this study was to investigate whether race/ethnicity and insurance status were associated with the likelihood of a pregnant person who begins prenatal care with a midwife to remain in midwifery care for birth attendance. METHODS: This was a retrospective cohort study of a diverse population of pregnant patients who gave birth in a large tertiary care hospital and had their first prenatal visit with a certified nurse-midwife (CNM) between June 2, 2009, and June 30, 2020 (n = 5121). We used multivariable, log-binomial regression models to calculate risk ratios of transferring to physician care (vs remaining within CNM care), adjusted for age, race/ethnicity, prepregnancy body mass index, insurance type, and comorbidities. RESULTS: After adjusting for pregnancy-related risk factors, non-Hispanic Black patients (adjusted relative risk [aRR], 1.14; 95% CI, 1.04-1.24) and publicly insured patients (aRR, 1.11; 95% CI, 1.01-1.22) were at higher risk of being transferred to physician care compared with non-Hispanic White and privately insured patients. Secondary analysis revealed that non-Hispanic Black patients had higher risk of transferring and having an operative birth (aRR, 1.35; 95% CI, 1.18-1.55), whereas publicly insured patients were at higher risk of being transferred for reasons other than operative births (aRR, 1.35; 95% CI, 1.18-1.54). DISCUSSION: These findings indicate that Black and publicly insured patients were more likely than White and privately insured patients to transfer to physician care even after adjustment for comorbid conditions. Thus, further research is needed to identify the factors that contribute to racial and economic disparity in continuity of midwifery care.

Neighborhood Walkability as a Risk Factor for Preterm Birth Phenotypes in Two Philadelphia Hospitals from 2013-2016.

A total of one in ten infants is born preterm in the U.S. with large racial disparities. Recent data suggest that neighborhood exposures may play a role. Walkability-how easily individuals can walk to amenities-may encourage physical activity. We hypothesized that walkability would be associated with a decreased risk of preterm birth (PTB) and that associations would vary by PTB phenotype. PTB can be spontaneous (sPTB) from conditions such as preterm labor and preterm premature rupture of membranes, or medically indicated (mPTB) from conditions such as poor fetal growth and preeclampsia. We analyzed associations of neighborhood walkability (quantified by their Walk Score® ranking) with sPTB and mPTB in a Philadelphia birth cohort (n = 19,203). Given racial residential segregation, we also examined associations in race-stratified models. Walkability (per 10 points of Walk Score ranking) was associated with decreased odds of mPTB (aOR 0.90, 95% CI: 0.83, 0.98), but not sPTB (aOR 1.04, 95% CI: 0.97, 1.12). Walkability was not protective for mPTB for all patients; there was a non-significant protective effect for White (aOR 0.87, 95% CI: 0.75, 1.01), but not Black patients (aOR 1.05, 95% CI: 0.92, 1.21) (interaction p = 0.03). Measuring health effects of neighborhood characteristics across populations is key for urban planning efforts focused on health equity.

Resilience as a potential modifier of racial inequities in preterm birth.

PURPOSE: In the US, preterm birth (PTB) is 55% more common among Black compared to White individuals and psychosocial stressors may contribute. Resilience is associated with improved health outcomes; whether it modifies PTB inequity is unknown. We hypothesized high resilience would reduce inequities in PTB risk. METHODS: This study analyzes data from 535 pregnancies among Black (n = 101, 19%) and White (n = 434, 81%) participants from a prospective cohort. Participants completed the Connor-Davidson Resilience Scale. We calculated risk ratios (RR) stratified by resilience tertiles to test for effect measure modification. RESULTS: Among those in the lowest resilience tertile, there were six (20.7%) PTBs among Black and seven (4.9%) among White participants (RR: 4.26; 95% confidence interval (CI): 1.53, 11.81). Among those in the highest resilience tertile, there were 8 (18.2%) PTBs among Black and 14 (9.5%) among White participants (RR: 1.92; 95% CI: 0.87, 4.24. The adjusted Black:White RR was 2.00 (95% CI 0.47, 8.64) in the lowest and 3.49 (95% CI 1.52, 8.01) in the highest tertile. CONCLUSIONS: Black-White PTB inequity did not differ among resilience strata and remained significant in the highest tertile. Our findings suggest that high resilience is inadequate to overcome Black:White racial inequity in PTB.

Neighborhood Deprivation and Racial Disparities in Early Pregnancy Impaired Glucose Tolerance.

OBJECTIVE: There is mounting evidence that neighborhoods contribute to perinatal health inequity. We aimed (1) to determine whether neighborhood deprivation (a composite marker of area-level poverty, education, and housing) is associated with early pregnancy impaired glucose intolerance (IGT) and pre-pregnancy obesity and (2) to quantify the extent to which neighborhood deprivation may explain racial disparities in IGT and obesity. STUDY DESIGN: This was a retrospective cohort study of non-diabetic patients with singleton births ≥ 20 weeks' gestation from 1 January 2017-31 December 2019 in two Philadelphia hospitals. The primary outcome was IGT (HbA1c 5.7-6.4%) at <20 weeks' gestation. Addresses were geocoded and census tract neighborhood deprivation index (range 0-1, higher indicating more deprivation) was calculated. Mixed-effects logistic regression and causal mediation models adjusted for covariates were used. RESULTS: Of the 10,642 patients who met the inclusion criteria, 49% self-identified as Black, 49% were Medicaid insured, 32% were obese, and 11% had IGT. There were large racial disparities in IGT (16% vs. 3%) and obesity (45% vs. 16%) among Black vs. White patients, respectively (p < 0.0001). Mean (SD) neighborhood deprivation was higher among Black (0.55 (0.10)) compared with White patients (0.36 (0.11)) (p < 0.0001). Neighborhood deprivation was associated with IGT and obesity in models adjusted for age, insurance, parity, and race (aOR 1.15, 95%CI: 1.07, 1.24 and aOR 1.39, 95%CI: 1.28, 1.52, respectively). Mediation analysis revealed that 6.7% (95%CI: 1.6%, 11.7%) of the Black-White disparity in IGT might be explained by neighborhood deprivation and 13.3% (95%CI: 10.7%, 16.7%) by obesity. Mediation analysis also suggested that 17.4% (95%CI: 12.0%, 22.4%) of the Black-White disparity in obesity may be explained by neighborhood deprivation. CONCLUSION: Neighborhood deprivation may contribute to early pregnancy IGT and obesity-surrogate markers of periconceptional metabolic health in which there are large racial disparities. Investing in neighborhoods where Black patients live may improve perinatal health equity.

Assessing racial residential segregation as a risk factor for severe maternal morbidity.

PURPOSE: To measure associations of area-level racial and economic residential segregation with severe maternal morbidity (SMM). METHODS: We conducted a retrospective cohort study of births at two Philadelphia hospitals between 2018 and 2020 to analyze associations of segregation, quantified using the Index of Concentration at the Extremes (ICE), with SMM. We used stratified multivariable, multilevel, logistic regression models to determine whether associations of ICE with SMM varied by self-identified race or hospital catchment. RESULTS: Of the 25,979 patients (44.1% Black, 35.8% White), 1381 (5.3%) had SMM (Black [6.1%], White [4.4%]). SMM was higher among patients residing outside (6.3%), than inside (5.0%) Philadelphia (P < .001). Overall, ICE was not associated with SMM. However, ICErace (higher proportion of White vs. Black households) was associated with lower odds of SMM among patients residing inside Philadelphia (aOR 0.87, 95% CI: 0.80-0.94) and higher odds outside Philadelphia (aOR 1.12, 95% CI: 0.95-1.31). Moran's I indicated spatial autocorrelation of SMM overall (P < .001); when stratified, autocorrelation was only evident outside Philadelphia. CONCLUSIONS: Overall, ICE was not associated with SMM. However, higher ICErace was associated with lower odds of SMM among Philadelphia residents. Findings highlight the importance of hospital catchment area and referral patterns in spatial analyses of hospital datasets.

Cervical microRNA expression and spontaneous preterm birth.

BACKGROUND: Preterm birth remains a major public health issue affecting 10% of all pregnancies and increases risks of neonatal morbidity and mortality. Approximately 50% to 60% of preterm births are spontaneous, resulting from preterm premature rupture of membranes or preterm labor. The pathogenesis of spontaneous preterm birth is incompletely understood, and prediction of preterm birth remains elusive. Accurate prediction of preterm birth would reduce infant morbidity and mortality through targeted patient referral to hospitals equipped to care for preterm infants. Two previous studies have analyzed cervical microRNAs in association with spontaneous preterm birth and the length of gestation, but the extent to which microRNAs serve as predictive biomarkers remains unknown. OBJECTIVE: This study aimed to examine associations between cervical microRNA expression and spontaneous preterm birth, with the specific goal of identifying a subset of microRNAs that predict spontaneous preterm birth. STUDY DESIGN: We performed a prospective, nested, case-control study of 25 cases with spontaneous preterm birth and 49 term controls. Controls were matched to cases in a 2:1 ratio on the basis of age, parity, and self-identified race. Cervical swabs were collected at a mean gestational age of 17.1 (4.8) weeks of gestation, and microRNAs were analyzed using a quantitative polymerase chain reaction array. Normalized microRNA expression was compared between cases and controls, and a false discovery rate of 0.2 was applied to account for multiple comparisons. Histopathologic analysis of slides of cervical swab samples was performed to quantify leukocyte burden for adjustment in conditional regression models. We explored the use of Relief-based unsupervised identification of top microRNAs and support vector machines to predict spontaneous preterm birth. We performed microRNA enrichment analysis to explore potential biologic targets and pathways in which up-regulated microRNAs might be involved. RESULTS: Of the 754 microRNAs on the polymerase chain reaction array, 346 were detected in ≥75% of participants' cervical swabs. Average cervical microRNA expression was significantly higher in cases of spontaneous preterm birth than in controls (P=.01). There were 95 significantly up-regulated individual microRNAs (>2-fold change) in cases of subsequent spontaneous preterm birth compared with term controls (P<.05; q<0.2). Notably, miR-143, miR-30e-3p, and miR-199b were all significantly up-regulated, which is consistent with the 1 previous study of cervical microRNA and spontaneous preterm birth. A Relief-based, novel variable (feature) selection machine learning approach had low-to-moderate prediction accuracy, with an area under the receiver operating curve of 0.71. Enrichment analysis revealed that identified microRNAs may modulate inflammatory cell signaling. CONCLUSION: In this prospective nested case-control study of cervical microRNA expression and spontaneous preterm birth, we identified a global increase in microRNA expression and up-regulation of 95 distinct microRNAs in association with subsequent spontaneous preterm birth. Larger and more diverse studies are required to determine the ability of microRNAs to accurately predict spontaneous preterm birth, and mechanistic work to facilitate development of novel therapeutic interventions to prevent spontaneous preterm birth is warranted.

Benzene and NO2 Exposure during Pregnancy and Preterm Birth in Two Philadelphia Hospitals, 2013-2017.

Infants born preterm are at risk of neonatal morbidity and mortality. Preterm birth (PTB) can be categorized as either spontaneous (sPTB) or medically indicated (mPTB), resulting from distinct pathophysiologic processes such as preterm labor or preeclampsia, respectively. A growing body of literature has demonstrated the impacts of nitrogen dioxide (NO2) and benzene exposure on PTB, though few studies have investigated how these associations may differ by PTB subtype. We investigated the associations of NO2 and benzene exposure with sPTB and mPTB among 18,616 singleton live births at two Philadelphia hospitals between 2013 and 2017. Residential NO2 exposure was estimated using a land use regression model and averaged over the patient's full pregnancy. Benzene exposure was estimated at the census tract level using National Air Toxics Assessment (NATA) exposure data from 2014. We used logistic mixed-effects models to calculate odds ratios for overall PTB, sPTB, and mPTB separately, adjusting for patient- and tract-level confounders. Given the known racial segregation and PTB disparities in Philadelphia, we also examined race-stratified models. Counter to the hypothesis, neither NO2 nor benzene exposure differed by race, and neither were significantly associated with PTB or PTB subtypes. As such, these pollutants do not appear to explain the racial disparities in PTB in this setting.

Changes in prenatal testing during the COVID-19 pandemic.

Objective: The coronavirus disease 2019 (COVID-19) pandemic disrupted healthcare delivery, including prenatal care. The study objective was to assess if timing of routine prenatal testing changed during the COVID-19 pandemic. Methods: Retrospective observational cohort study using claims data from a regional insurer (Highmark) and electronic health record data from two academic health systems (Penn Medicine and Yale New Haven) to compare prenatal testing timing in the pre-pandemic (03/10/2018-12/31/2018 and 03/10/2019-12/31/2019) and early COVID-19 pandemic (03/10/2020-12/31/2020) periods. Primary outcomes were second trimester fetal anatomy ultrasounds and gestational diabetes (GDM) testing. A secondary analysis examined first trimester ultrasounds. Results: The three datasets included 31,474 pregnant patients. Mean gestational age for second trimester anatomy ultrasounds increased from the pre-pandemic to COVID-19 period (Highmark 19.4 vs. 19.6 weeks; Penn: 20.1 vs. 20.4 weeks; Yale: 18.8 vs. 19.2 weeks, all p < 0.001). There was a detectable decrease in the proportion of patients who completed the anatomy survey <20 weeks' gestation across datasets, which did not persist at <23 weeks' gestation. There were no consistent changes in timing of GDM screening. There were significant reductions in the proportion of patients with first trimester ultrasounds in the academic institutions (Penn: 57.7% vs. 40.6% and Yale: 78.7% vs. 65.5%, both p < 0.001) but not Highmark. Findings were similar with multivariable adjustment. Conclusion: While some prenatal testing happened later in pregnancy during the pandemic, pregnant patients continued to receive appropriately timed testing. Despite disruptions in care delivery, prenatal screening remained a priority for patients and providers during the COVID-19 pandemic.

Resilience During Pregnancy by Race, Ethnicity and Nativity: Evidence of a Hispanic Immigrant Advantage.

The similar socioeconomic position of black and Hispanic women coupled with better birth outcomes among Hispanic women is termed the "Hispanic Paradox." However, birth outcome disparities among Hispanic women exist by maternal nativity. Persistent unequal exposure over time to stressors contributes to these disparities. We hypothesized that variation in maternal resilience to stressors also exists by race, ethnicity, and nativity. We utilized data from the Spontaneous Prematurity and Epigenetics of the Cervix study in Boston, MA (n = 771) where resilience was measured mid-pregnancy using the Connor Davidson Resilience Scale 25. We assessed resilience differences by race/ethnicity, by nativity then by race, ethnicity, and nativity together. We also assessed the risk of low resilience among foreign-born women by region of origin. We used Poisson regression to calculate risk ratios for low resilience, adjusting for maternal age, education, and insurance. Resilience did not differ significantly across race/ethnicity or by foreign-born status in the overall cohort. US-born Hispanic women were more likely to be in the low resilience tertile compared with their foreign-born Hispanic counterparts (adjusted RR 3.52, 95% CI 1.18-10.49). Foreign-born Hispanic women also had the lowest risk of being in the low resilience tertile compared with US-born non-Hispanic white women (aRR 0.33, 95% CI 0.11-0.98). Resilience did not differ significantly among immigrant women by continent of birth. Overall, foreign-born Hispanic women appear to possess a resilience advantage. Given that this group often exhibits the lowest rates of adverse birth outcomes, our findings suggest a deeper exploration of resilience among immigrant Hispanic women.

Spatially and Temporally Resolved Ambient PM2.5 in Relation to Preterm Birth.

Growing evidence suggests that maternal exposure to ambient fine particulate matter (PM2.5) during pregnancy is associated with preterm birth; however, few studies have examined critical windows of exposure, which can help elucidate underlying biologic mechanisms and inform public health messaging for limiting exposure. Participants included 891 mother-newborn pairs enrolled in a U.S.-based pregnancy cohort study. Daily residential PM2.5 concentrations at a 1 × 1 km2 resolution were estimated using a satellite-based hybrid model. Gestational age at birth was abstracted from electronic medical records and preterm birth (PTB) was defined as <37 completed weeks of gestation. We used Critical Window Variable Selection to examine weekly PM2.5 exposure in relation to the odds of PTB and examined sex-specific associations using stratified models. The mean ± standard deviation PM2.5 level averaged across pregnancy was 8.13 ± 1.10 µg/m3. PM2.5 exposure was not associated with an increased odds of PTB during any gestational week. In sex-stratified models, we observed a marginal increase in the odds of PTB with exposure occurring during gestational week 16 among female infants only. This study does not provide strong evidence supporting an association between weekly exposure to PM2.5 and preterm birth.

Racial and ethnic representation in epigenomic studies of preterm birth: a systematic review.

Aim: We conducted a systematic review evaluating race/ethnicity representation in DNA methylomic studies of preterm birth. Data sources: PubMed, EMBASE, CINHAL, Scopus and relevant citations from 1 January 2000 to 30 June 2019. Study appraisal & synthesis methods: Two authors independently identified abstracts comparing DNA methylomic differences between term and preterm births that included race/ethnicity data. Results: 16 studies were included. Black and non-Hispanic Black deliveries were well represented (28%). However, large studies originating from more than 95% White populations were excluded due to unreported race/ethnicity data. Most studies were cross-sectional, allowing for reverse causation. Most studies were also racially/ethnically homogeneous, preventing direct comparison of DNA methylomic differences across race/ethnicities. Conclusion: In DNA methylomic studies, Black women and infants were well represented. However, the literature has limitations and precludes drawing definitive conclusions.

Maternal anxiety and depression in pregnancy and DNA methylation of the NR3C1 glucocorticoid receptor gene.

Aim: To quantify associations of anxiety and depression during pregnancy with differential cord blood DNA methylation of the glucorticoid receptor (NR3C1). Materials & methods: Pregnancy anxiety, trait anxiety and depressive symptoms were collected using the Pregnancy Related Anxiety Scale, State-Trait Anxiety Index and Edinburgh Postnatal Depression Scale, respectively. NR3C1 methylation was determined at four methylation sites. Results: DNA methylation of CpG1 in the NR3C1 CpG island shore was higher in infants born to women with high pregnancy anxiety (ß 2.54, 95% CI: 0.49-4.58) and trait anxiety (ß 1.68, 95% CI: 0.14-3.22). No significant association was found between depressive symptoms and NR3C1 methylation. Conclusion: We found that maternal anxiety was associated with increased NR3C1 CpG island shore methylation.