Environmental Justice Index and adverse pregnancy outcomes.

BACKGROUND: The Environmental Justice Index is a tool released by the Centers for Disease Control and Prevention that quantifies and ranks the environmental burden and social vulnerability of each census tract. Racial and ethnic disparities in adverse pregnancy outcomes are well established. The relative contributions of individual (person-level) and environmental (neighborhood-level) risk factors to disease prevalence remain poorly understood. OBJECTIVE: This study aimed to determine whether the Environmental Justice Index is associated with adverse pregnancy outcomes after adjustment for individual clinical and sociodemographic risk factors. STUDY DESIGN: This was a retrospective cross-sectional study of all patients who delivered a singleton newborn at ≥23 weeks of gestation between January 2019 and February 2022 at 7 hospitals within a large academic health system in New York. Patients were excluded if their home address was not available, if the address could not be geocoded to a census tract, or if the census tract did not have corresponding Environmental Justice Index data. Patients were also excluded if they had preexisting diabetes or hypertension. For patients who had multiple pregnancies during the study period, only the first pregnancy was included for analysis. Clinical and demographic data were obtained from the electronic medical record. Environmental Justice Index score, the primary independent variable, ranges from 0 to 1. Higher Environmental Justice Index scores indicate communities with increased cumulative environmental burden and increased social vulnerability. The primary outcome was adverse pregnancy outcome, defined as the presence of ≥1 of any of the following conditions: hypertensive disorders of pregnancy, gestational diabetes, preterm birth, fetal growth restriction, low birthweight, small for gestational age newborn, placental abruption, and stillbirth. Multivariable logistic regression was performed to investigate the relationship between Environmental Justice Index score and adverse pregnancy outcome, adjusting for potential confounding variables, including body mass index group, race and ethnicity group, advanced maternal age, nulliparity, public health insurance, and English as the preferred language. RESULTS: A total of 65,273 pregnancies were included for analysis. Overall, adverse pregnancy outcomes occurred in 37.6% of pregnancies (n=24,545); hypertensive disorders of pregnancy (13.4%) and gestational diabetes (12.2%) were the most common adverse pregnancy outcome conditions. On unadjusted analysis, the strongest associations between Environmental Justice Index score and individual adverse pregnancy outcome conditions were observed for stillbirth (odds ratio, 1.079; 95% confidence interval, 1.025-1.135) and hypertensive disorders of pregnancy (odds ratio, 1.052; 95% confidence interval, 1.042-1.061). On multivariable logistic regression, every 0.1 increase in Environmental Justice Index score was associated with 1.4% higher odds of adverse pregnancy outcome (adjusted odds ratio, 1.014; 95% confidence interval, 1.007-1.021). The strongest associations with adverse pregnancy outcomes were observed with well-established clinical and social risk factors, including class 3 obesity (adjusted odds ratio, 1.710; 95% confidence interval, 1.580-1.849; reference: body mass index <25 kg/m2) and certain race and ethnicity groups (reference: non-Hispanic White), particularly Asian and Pacific Islander (adjusted odds ratio, 1.817; 95% confidence interval, 1.729-1.910), and non-Hispanic Black (adjusted odds ratio, 1.668; 95% confidence interval, 1.581-1.760) people. CONCLUSION: Environmental Justice Index score is positively associated with adverse pregnancy outcomes, and most strongly associated with stillbirth and hypertensive disorders of pregnancy. Geospatial analysis with Environmental Justice Index may help to improve our understanding of health inequities by identifying neighborhood characteristics that increase the risk of pregnancy complications.

Risk of Severe Maternal Morbidity Associated with Maternal Comorbidity Burden and Social Vulnerability.

OBJECTIVE: We evaluated the associations of the obstetric comorbidity index (OB-CMI) and social vulnerability index (SVI) with severe maternal morbidity (SMM). STUDY DESIGN: Multicenter retrospective cohort study of all patients who delivered (gestational age > 20 weeks) within a university health system from January 1, 2019, to December 31, 2021. OB-CMI scores were assigned to patients using clinical documentation and diagnosis codes. SVI scores, released by the Centers for Disease Control and Prevention (CDC), were assigned to patients based on census tracts. The primary outcome was SMM, based on the 21 CDC indicators. Mixed-effects logistic regression was used to model the odds of SMM as a function of OB-CMI and SVI while adjusting for maternal race and ethnicity, insurance type, preferred language, and parity. RESULTS: In total, 73,518 deliveries were analyzed. The prevalence of SMM was 4% (n = 2,923). An association between OB-CMI and SMM was observed (p < 0.001), where OB-CMI score categories of 1, 2, 3, and ≥4 were associated with higher odds of SMM compared with an OB-CMI score category of 0. In the adjusted model, there was evidence of an interaction between OB-CMI and maternal race and ethnicity (p = 0.01). After adjusting for potential confounders, including SVI, non-Hispanic Black patients had the highest odds of SMM among patients with an OB-CMI score category of 1 and ≥4 compared with non-Hispanic White patients with an OB-CMI score of 0 (adjusted odds ratio [aOR] 2.76, 95% confidence interval [CI] 2.08-3.66 and aOR 10.07, 95% CI 8.42-12.03, respectively). The association between SVI and SMM was not significant on adjusted analysis. CONCLUSION: OB-CMI was significantly associated with SMM, with higher score categories associated with higher odds of SMM. A significant interaction between OB-CMI and maternal race and ethnicity was identified, revealing racial disparities in the odds of SMM within each higher OB-CMI score category. SVI was not associated with SMM after adjusting for confounders. KEY POINTS: · OB-CMI was significantly associated with SMM.. · Racial disparities were seen within each OB-CMI score group.. · SVI was not associated with SMM on adjusted analysis..

Association of Maternal Comorbidity Burden With Cesarean Birth Rate Among Nulliparous, Term, Singleton, Vertex Pregnancies.

IMPORTANCE: Cesarean birth rate among nulliparous, term, singleton, vertex (NTSV) pregnancies is a standard quality measure in obstetrical care. There are limited data on how the number and type of preexisting conditions affect mode of delivery among primigravidae, and it is also uncertain how maternal comorbidity burden differs across racial and ethnic groups and whether this helps to explain disparities in the NTSV cesarean birth rate. OBJECTIVE: To determine the association between obstetric comorbidity index (OB-CMI) score and cesarean delivery among NTSV pregnancies and to evaluate whether disparities in mode of delivery exist based on race and ethnicity group after adjusting for covariate factors. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study of deliveries between January 2019 and December 2021 took place across 7 hospitals within a large academic health system in New York and included all NTSV pregnancies identified in the electronic medical record system. Exclusion criteria were fetal demise and contraindication to labor. EXPOSURE: The OB-CMI score. Covariate factors assessed included race and ethnicity group (American Indian or Alaska Native, Asian or Pacific Islander, Hispanic, non-Hispanic Black, non-Hispanic White, other or multiracial, and declined or unknown), public health insurance, and preferred language. MAIN OUTCOME AND MEASURES: Cesarean delivery. RESULTS: A total of 30 253 patients (mean [SD] age, 29.8 [5.4] years; 100% female) were included. Non-Hispanic White patients constituted the largest race and ethnicity group (43.7%), followed by Hispanic patients (16.2%), Asian or Pacific Islander patients (14.6%), and non-Hispanic Black patients (12.2%). The overall NTSV cesarean birth rate was 28.5% (n = 8632); the rate increased from 22.1% among patients with an OB-CMI score of 0 to greater than 55.0% when OB-CMI scores were 7 or higher. On multivariable mixed-effects logistic regression modeling, there was a statistically significant association between OB-CMI score group and cesarean delivery; each successive OB-CMI score group had an increased risk. Patients with an OB-CMI score of 4 or higher had more than 3 times greater odds of a cesarean birth (adjusted odds ratio, 3.14; 95% CI, 2.90-3.40) than those with an OB-CMI score of 0. Compared with non-Hispanic White patients, nearly all other race and ethnicity groups were at increased risk for cesarean delivery, and non-Hispanic Black patients were at highest risk (adjusted odds ratio, 1.43; 95% CI, 1.31-1.55). CONCLUSIONS AND RELEVANCE: In this cross-sectional study of patients with NTSV pregnancies, OB-CMI score was positively associated with cesarean birth. Racial and ethnic disparities in this metric were observed. Although differences in the prevalence of preexisting conditions were seen across groups, this did not fully explain variation in cesarean delivery rates, suggesting that unmeasured clinical or nonclinical factors may have influenced the outcome.

Socioeconomic disparities in fertility treatments and associated likelihood of livebirth following in vitro fertilization.

OBJECTIVE: To determine whether neighborhood-level socioeconomic characteristics are associated with the likelihood of livebirth (LB) following in vitro fertilization (IVF). Specifically, we evaluated neighborhood-level household income, unemployment rate, and educational attainment. DESIGN: A retrospective cross-sectional study was conducted for patients undergoing autologous IVF cycles. SETTING: Large academic health system. INTERVENTIONS: For each patient, ZIP code of residence was used as a proxy for neighborhood. Neighborhood characteristics were compared between patients with and without LB. Generalized estimating model was used to adjust the association between SES factors and likelihood of a live birth with respect to relevant clinical factors. RESULTS: A total of 4942 autologous IVF cycles from 2768 patients were included: 1717 (62.0%) had at least one associated LB. Patients who achieved LB from IVF were younger, had higher anti-Mullerian hormone (AMH) levels, lower body mass index (BMI), and differed by ethnic background, primary language, and neighborhood socioeconomic characteristics. In a multivariable model, language, age, AMH, and BMI were associated with a live birth from IVF. None of the neighborhood-level socioeconomic variables were associated with the total number of IVF cycles or cycles required to achieve first LB. CONCLUSION: Patients living in neighborhoods with lower annual household income have lower odds of livebirth after IVF compared to those living in more affluent areas, despite undergoing the same number of IVF stimulation cycles.

Social Vulnerability Index and Surgical Management of Abnormal Uterine Bleeding in Reproductive-age Women.

STUDY OBJECTIVE: To determine whether surgical management of abnormal uterine bleeding (AUB) is associated with social vulnerability index (SVI). DESIGN: A retrospective cohort. SETTING: A total of 7 hospitals and 4 ambulatory surgery centers within a large New York health system. PATIENTS: All patients between 15 and 45 years of age who underwent either a hysterectomy or myomectomy for AUB between January 2019 and October 2021. INTERVENTIONS: None. Home addresses were linked to census tracts and SVI scores. SVI is composed of 4 themes that potentially influence a community's vulnerability to health stressors: socioeconomic status, household composition and disability, minority status and language, and housing type and transportation. Multiple logistic regression analyses were performed to evaluate the association between SVI and surgical procedure/approach, adjusting for age, race and ethnicity, marital status, insurance, language, body mass index, and previous abdominal surgery. MEASUREMENTS AND MAIN RESULTS: A total of 1628 patients were included. On performing regression analysis between SVI quarters and type of surgery, the odds of undergoing laparotomy for the hysterectomy group were not affected by SVI composite score both before and after adjusting for alternative factors (odds ratio [OR] and adjusted OR). Among those who had a myomectomy, individuals in SVI Q3 had 1.86 times (95% confidence interval, 1.27-2.72) higher odds of having a laparotomy than those in SVI Q1. Individuals in SVI Q4 had 1.74 times (95% confidence interval, 1.15-2.62) higher odds of having a laparotomy than those in SVI Q1. Although some unadjusted ORs were statistically significant in the myomectomy group, when adjusted for social, demographic, and economic factors, the results were not statistically significant. CONCLUSION: Patients living in more vulnerable communities are less likely to have minimally invasive hysterectomy or myomectomy for the management of AUB. Neighborhood characteristics are independently associated with surgical procedure and approach.

The Risk of Readmission after Early Postpartum Discharge during the COVID-19 Pandemic.

OBJECTIVE: To determine whether early postpartum discharge during the coronavirus disease 2019 (COVID-19) pandemic was associated with a change in the odds of maternal postpartum readmissions. STUDY DESIGN: This is a retrospective analysis of uncomplicated postpartum low-risk women in seven obstetrical units within a large New York health system. We compared the rate of postpartum readmissions within 6 weeks of delivery between two groups: low-risk women who had early postpartum discharge as part of our protocol during the COVID-19 pandemic (April 1-June 15, 2020) and similar low-risk patients with routine postpartum discharge from the same study centers 1 year prior. Statistical analysis included the use of Wilcoxon's rank-sum and chi-squared tests, Nelson-Aalen cumulative hazard curves, and multivariate logistic regression. RESULTS: Of the 8,206 patients included, 4,038 (49.2%) were patients who had early postpartum discharge during the COVID-19 pandemic and 4,168 (50.8%) were patients with routine postpartum discharge prior to the COVID-19 pandemic. The rates of postpartum readmissions after vaginal delivery (1.0 vs. 0.9%; adjusted odds ratio [OR]: 0.75, 95% confidence interval [CI]: 0.39-1.45) and cesarean delivery (1.5 vs. 1.9%; adjusted OR: 0.65, 95% CI: 0.29-1.45) were similar between the two groups. Demographic risk factors for postpartum readmission included Medicaid insurance and obesity. CONCLUSION: Early postpartum discharge during the COVID-19 pandemic was associated with no change in the odds of maternal postpartum readmissions after low-risk vaginal or cesarean deliveries. Early postpartum discharge for low-risk patients to shorten hospital length of stay should be considered in the face of public health crises. KEY POINTS: · Early postpartum discharge was not associated with an increase in odds of hospital readmissions after vaginal delivery.. · Early postpartum discharge was not associated with an increase in odds of hospital readmissions after cesarean delivery.. · Early postpartum discharge for low-risk patients should be considered during a public health crisis..

Ultrasonic Assessment of Cervical Heterogeneity for Prediction of Spontaneous Preterm Birth: A Feasibility Study.

BACKGROUND: In a normal pregnancy, cervical collagen fibers remain organized in predictable patterns throughout most of the gestation. Cervical remodeling reflects a rearrangement of collagen fibers in which they become increasingly disordered and contribute to the pathogenesis of spontaneous preterm birth. Quantitative ultrasound analysis of cervical tissue echotexture may have the capacity to identify microstructural changes before the onset of cervical shortening. OBJECTIVE: The primary objective of this study was to examine the utility of a novel quantitative sonographic marker, the cervical heterogeneity index (HI), which reflects the relative organization of cervical collagen fibers. Also, we aimed to determine an optimal HI cut-point to predict spontaneous preterm birth. STUDY DESIGN: This retrospective cohort study employed a novel image-processing technique on transvaginal ultrasound images of the cervix in gestations between 14 and 28 completed weeks. The transvaginal sonography images were analyzed in MATLAB (MathWorks, Natick, MA) using a custom image-processing technique that assessed the relative heterogeneity of the cervical tissue. RESULTS: A total of 151 subjects were included in the study. The mean HI in subjects who delivered preterm and at term was 8.28 ± 3.73 and 12.35 ± 5.80, respectively (p < 0.0001). Thus, decreased tissue heterogeneity was associated with preterm birth, and increased tissue heterogeneity was associated with delivery at term. In our study population, preterm birth was associated with a short cervix (<2.5 cm), history of preterm birth and lower HI, and our findings indicate that HI may improve prediction of preterm birth. CONCLUSION: Quantitative ultrasound measurement of the cervical HI is a promising, noninvasive tool for early prediction of spontaneous preterm birth.