The Geographical Correlation Between Historical Preterm Birth Disparities and COVID-19 Burden.

Similar to obstetric outcomes, rates of SARS-CoV-2 (COVID-19) infection are not homogeneously distributed among populations; risk factors accumulate in discrete locations. This study aimed to investigate the geographical correlation between pre-COVID-19 regional preterm birth (PTB) disparities and subsequent COVID-19 disease burden. We performed a retrospective, ecological cohort study of an upstate New York birth certificate database from 2004 to 2018, merged with publicly available community resource data. COVID-19 rates from 2020 were used to allocate ZIP codes to "low-," "moderate-," and "high-prevalence" groups, defined by median COVID-19 diagnosis rates. COVID-19 cohorts were associated with poverty and educational attainment data from the US Census Bureau. The dataset was analyzed for the primary outcome of PTB using ANOVA. GIS mapping visualized PTB rates and COVID-19 disease rates by ZIP code. Within 38 ZIP codes, 123,909 births were included. The median COVID-19 infection rate was 616.5 (per 100 K). PTB (all) and COVID-19 were positively correlated, with high- prevalence COVID-19 ZIP codes also being the areas with the highest prevalence of PTB (F = 11.06, P = .0002); significance was also reached for PTB < 28 weeks (F = 15.87, P < .0001) and periviable birth (F = 16.28, P < .0001). Odds of PTB < 28 weeks were significantly higher in the "high-prevalence" COVID-19 cohort compared to the "low-prevalence" COVID 19 cohort (OR 3.27 (95% CI 2.42-4.42)). COVID-19 prevalence was directly associated with number of individuals below poverty level and indirectly associated with median household income and educational attainment. GIS mapping demonstrated ZIP code clustering in the urban center with the highest rates of PTB < 28 weeks overlapping with high COVID-19 disease burden. Historical disparities in social determinants of health, exemplified by PTB outcomes, map community distribution of COVID-19 disease burden. These data should inspire socioeconomic policies supporting economic vibrancy to promote optimal health outcomes across all communities.

Coronavirus Disease 2019 (COVID-19)-Related Stress and Menstrual Changes.

OBJECTIVE: To evaluate how stress related to the coronavirus disease 2019 (COVID-19) pandemic has affected women's menstrual cycles. We hypothesized that women with high levels of COVID-19-related stress would have more menstrual changes compared with those with lower levels of stress. METHODS: Using a cross-sectional study design, we recruited a representative sample of U.S. adult women of reproductive age (18-45 years) using nonhormonal birth control to participate in an online REDCap (Research Electronic Data Capture, Vanderbilt University) survey. COVID-19-related stress was assessed with the PSS-10-C (COVID-19 Pandemic-related Perceived Stress Scale) and dichotomized as low stress (scores lower than 25) and high stress (scores 25 or higher). Self-reported menstrual outcomes were identified as changes in cycle length, duration, or flow and increased frequency of spotting between cycles. We used χ 2 and Fisher exact tests to compare differences in outcome between the two stress groups and logistic regression models for effect estimates. RESULTS: A total of 354 women of reproductive age across the United States completed both the menstrual and COVID-19-related stress components of our survey. More than half of these women reported at least one change in their menstrual cycles since the start of the pandemic (n=191), and 10.5% reported high COVID-19-related stress (n=37). Compared with those with low COVID-19-related stress, a greater proportion of women with high COVID-19-related stress reported changes in cycle length (shorter or longer; P =.008), changes in period duration (shorter or longer; P <.001), heavier menstrual flow ( P =.035), and increased frequency of spotting between cycles ( P =.006) compared with prepandemic times. After adjusting for age, smoking history, obesity, education, and mental health history, high COVID-19-related stress was associated with increased odds of changes in menstrual cycle length (adjusted odds ratio [aOR] 2.32; 95% CI 1.12-4.85), duration (aOR 2.38; 95% CI 1.14-4.98), and spotting (aOR 2.32; 95% CI 1.03-5.22). Our data also demonstrated a nonsignificant trend of heavier menstrual flow among women with high COVID-19-related stress (aOR 1.61; 95% CI 0.77-3.34). CONCLUSION: High COVID-19-related stress is associated with significant changes in menstrual cycle length, alterations in period duration, and increased intermenstrual spotting as compared with before the pandemic. Given that menstrual health is frequently an indicator of women's overall well-being, clinicians, researchers, and public health officials must consider the association between COVID-19-related stress and menstrual disturbances.

A Cross-Cultural Analysis of the COVID-19 Pandemic's Impact on Antenatal Healthcare-Seeking Behaviors in Ghana and the United States.

The coronavirus (COVID-19) pandemic impacted healthcare systems worldwide. In this study, we conducted qualitative interviews with pregnant women in Ghana and the United States (US) to understand their antenatal care (ANC) experience. Adapting to the virtual nature of the pandemic, social media platforms Facebook and WhatsApp were used to recruit, consent, enroll, and interview women. Interviewers used a semi-structured guide with content validated by the US and Ghanaian collaborators. Audio recordings of the interviews were transcribed, coded using Dedoose (v8.0.35, Dedoose) and grounded theory, and analyzed for recurring themes. Between May and July 2020, 32 women (15 Ghanaians, 17 Americans), aged 25-40 years were interviewed. Major themes emerged: (i) apprehension about ANC services; (ii) disruptions to planned healthcare provider use; and (iii) changes in social support. Although the women strove to retain their ANC as planned, the pandemic universally caused several unanticipated changes. Given associations between higher maternal mortality and poor outcomes with inadequate ANC, specific policies and resources for telehealth education and intra- and postpartum support should be implemented to reduce disruptions to ANC imposed by COVID-19.

Associations Between Historically Redlined Districts and Racial Disparities in Current Obstetric Outcomes.

Importance: Despite much higher health care expenditure than comparable countries, striking racial and ethnic disparities exist in obstetric outcomes in the United States. A multifaceted exploration of the factors influencing these disparities, including the legacy of structural racism, is important to improve health outcomes for all. Objective: To characterize the association of the historic racially discriminatory home loan practice of redlining with disparities in modern obstetric outcomes. Design, Setting, and Participants: In this retrospective cohort study of a 9-county birth certificate database in the Finger Lakes region of New York state from 2005 to 2018, modern obstetric outcomes were matched with regions classified by the federal government for mortgage loan servicing based on racially discriminatory criteria from the 1940 Home Owners' Loan Corporation map (HOLC; also known as the redline map). Patients with a live birth recorded in the data system with a recorded home zip code within the historic HOLC categories were included. Data were analyzed from July to December 2019. Exposure: Regions previously categorized by historic, racially discriminatory criteria. Main Outcomes and Measures: Each HOLC area was analyzed for the primary outcome of preterm birth and secondary outcomes of obstetric and medical complications, with logistic regression to address regional and patient-level covariates. Results: From 2005 until 2018, there were 64 804 live births within the 15 zip codes overlaying historic HOLC regions. Prevalence of preterm birth increased with decreasing HOLC categories, from the lowest overall preterm birth rate of 217 of 2873 births (7.55%) in the zip code historically defined as "Best" or "Still Desirable" and the highest overall preterm birth rate of 427 of 3449 births (12.38%) in the zip code historically defined as "Hazardous." These associations with preterm birth remained significant in logistic regression controlling for poverty levels and educational attainment (adjusted odds ratio, 1.46; 95% CI, 1.08-1.97) and parental race (adjusted odds ratio, 1.38; 95% CI, 1.25-1.53). Conclusions and Relevance: In this cohort study, the linkage of historic and modern community data sets with an obstetric data set offered the opportunity to characterize modern obstetric disparities associated with a system of historic inequity. The persistence of these findings after correcting for contemporary community socioeconomic characteristics suggest potential influences of a system of profound structural inequity that ripple forward in time, with impacts that extend beyond measurable socioeconomic inequity.

Specificity of the lactate dehydrogenase isoenzyme index as a preoperative screen for uterine sarcoma before myomectomy.

OBJECTIVE: To evaluate the applicability of the Uterine mass Magna Graecia (UMG) risk index (elevation defined by a lactate dehydrogenase isoenzyme index >29) in women undergoing surgery for benign fibroids and to determine whether other factors were associated with an elevated index. An elevated UMG index has been reported to be associated with an increased risk of uterine sarcoma in Italian women. DESIGN: Retrospective cohort study. SETTING: University fibroid center. PATIENTS: All women presenting from July 1, 2013, through June 30, 2019, with fibroids who had lactate dehydrogenase isoenzymes collected and surgery performed. INTERVENTIONS: Calculation of UMG index. MAIN OUTCOME MEASURE: Applicability of UMG index. RESULTS: Of 272 patients initially identified, 179 met inclusion criteria, 163 with UMG index ≤29 and 16 with UMG index >29. There were no cases of uterine sarcoma. Race, age, and presence of endometriosis, adenomyosis, or degenerating fibroids were not predictors of elevated UMG index. Body mass index (BMI) was positively associated with elevated UMG index. Specificity of UMG index to exclude uterine sarcoma was 91.1% (163/179) and higher in non-obese (BMI<30; 95.1%) than obese women (85.5%). CONCLUSION: A previously reported UMG index cutoff of 29 had a specificity of 91.1% (higher with normal BMI and lower when obese) in our patient population. Although lower than previously reported, the index could be a useful initial method of preoperative screening of women with symptomatic fibroids. Higher BMI appears to be associated with elevated UMG indices, increasing the false-positive rate in obese women.

Wintertime Wood Smoke, Traffic Particle Pollution, and Preeclampsia.

Previous studies have reported associations between ambient fine particle concentrations and preeclampsia; however, the impact of particulate pollution on early- and late-onset preeclampsia is understudied. Furthermore, few studies have examined the association between source-specific particles such as markers of traffic pollution or wood combustion on adverse pregnancy outcomes. Electronic medical records and birth certificate data were linked with land-use regression models in Monroe County, New York for 2009 to 2013 to predict monthly pollutant concentrations for each pregnancy until the date of clinical diagnosis during winter (November-April) for 16 116 births. Up to 30% of ambient wintertime fine particle concentrations in Monroe County, New York is from wood combustion. Multivariable logistic regression was used to separately estimate the odds of preeclampsia (all, early-, and late-onset) associated with each interquartile range increase in fine particles, traffic pollution, and woodsmoke concentrations during each gestational month, adjusting for maternal characteristics, birth hospital, temperature, and relative humidity. Each 3.64 µg/m3 increase in fine particle concentration was associated with an increased odds of early-onset preeclampsia during the first (odds ratio, 1.35 [95% CI, 1.08-1.68]), second (odds ratio, 1.51 [95% CI, 1.23-1.86]), and third (odds ratio, 1.25 [95% CI, 1.06-1.46]) gestational months. Increases in traffic pollution and woodsmoke during the first gestational month were also associated with increased odds of early-onset preeclampsia. Increased odds of late-onset preeclampsia were not observed. Our findings suggest that exposure to wintertime particulate pollution may have the greatest effect on maternal cardiovascular health during early pregnancy.

Women who received varicella vaccine versus natural infection have different long-term T cell immunity but similar antibody levels.

BACKGROUND: Varicella-zoster virus (VZV) infection during pregnancy is associated with serious fetal anomalies. The live-attenuated VZV vaccine was approved in 1995, so many vaccinated women are now of childbearing age. The question of long-term immunity to varicella is critical because breakthrough chickenpox can occur after vaccination. OBJECTIVE: To compare humoral and T cell immunity between women of childbearing age who were immunized by vaccination or chickenpox disease. STUDY DESIGN: Non-pregnant females between 18 and 36 years old with a history of VZV immunization (n = 20) or prior chickenpox disease (n = 20) were recruited. IgG antibody titers and T cell responses were measured by flow cytometry-based methods in serum and peripheral blood, respectively. RESULTS: There were no significant differences in median antibody titers between vaccinated and chickenpox groups (p = 0.34). The chickenpox group had significantly higher levels of VZV antigen-specific CD4 T cells (p = 0.004). CONCLUSION: Natural infection induced higher VZV-specific T cell immune responses than vaccination.

Measuring Childbirth Outcomes Using Administrative and Birth Certificate Data.

BACKGROUND: The number of pregnancy-related deaths and severe maternal complications continues to rise in the United States, and the quality of obstetrical care across U.S. hospitals is uneven. Providing hospitals with performance feedback may help reduce the rates of severe complications in mothers and their newborns. The aim of this study was to develop a risk-adjusted composite measure of severe maternal morbidity and severe newborn morbidity based on administrative and birth certificate data. METHODS: This study was conducted using linked administrative data and birth certificate data from California. Hierarchical logistic regression prediction models for severe maternal morbidity and severe newborn morbidity were developed using 2011 data and validated using 2012 data. The composite metric was calculated using the geometric mean of the risk-standardized rates of severe maternal morbidity and severe newborn morbidity. RESULTS: The study was based on 883,121 obstetric deliveries in 2011 and 2012. The rates of severe maternal morbidity and severe newborn morbidity were 1.53% and 3.67%, respectively. Both the severe maternal morbidity model and the severe newborn models exhibited acceptable levels of discrimination and calibration. Hospital risk-adjusted rates of severe maternal morbidity were poorly correlated with hospital rates of severe newborn morbidity (intraclass correlation coefficient, 0.016). Hospital rankings based on the composite measure exhibited moderate levels of agreement with hospital rankings based either on the maternal measure or the newborn measure (κ statistic 0.49 and 0.60, respectively.) However, 10% of hospitals classified as average using the composite measure had below-average maternal outcomes, and 20% of hospitals classified as average using the composite measure had below-average newborn outcomes. CONCLUSIONS: Maternal and newborn outcomes should be jointly reported because hospital rates of maternal morbidity and newborn morbidity are poorly correlated. This can be done using a childbirth composite measure alongside separate measures of maternal and newborn outcomes.

Ambient wintertime particulate air pollution and hypertensive disorders of pregnancy in Monroe County, New York.

BACKGROUND: Previous studies have reported associations between ambient fine particle (PM2.5) concentrations and hypertensive disorders of pregnancy (HDP). However, none have examined whether ultrafine particles (UFP; < 100 nm), accumulation mode particles (AMP; 100-500 nm), markers of traffic pollution (black carbon; BC), or wood burning (Delta-C; (30% of ambient wintertime PM2.5 in Monroe County, NY is from wood burning)) are associated with an increased odds of HDP. We estimated the odds of HDP associated with increased concentrations of PM2.5, UFP, AMP, BC, and Delta-C in each gestational month during winter months. METHODS: Electronic medical records and birth certificate data were linked with land-use regression models in Monroe County, New York in 2009-2013 to predict monthly pollutant concentrations during winter (November-April) based on maternal residential address for 16,637 births. Using multivariable logistic regression, we estimated the odds of HDP associated with each interquartile range (IQR) increase in PM2.5, UFP, AMP, BC, and Delta-C concentrations during each gestational month, adjusting for maternal characteristics, birth hospital, temperature, and relative humidity. RESULTS: Each 0.52 µg/m3 increase in Delta-C concentration during the 7th gestational month was associated with an increased odds of HDP (odds ratio (OR) = 1.21; 95% confidence interval (CI) = 1.01, 1.45), with a similar sized estimate in month 8 (OR = 1.18; 95%CI = 0.98, 1.43). Non-statistically significant increased odds of HDP associated with IQR increases in BC concentrations during months 3 (OR = 1.12; 95%CI = 0.98, 1.28) and 7 (OR = 1.12; 95%CI = 0.96, 1.29) were observed. Increased odds of HDP were not observed for PM2.5, UFP, or AMP. CONCLUSIONS: Our findings suggest that maternal exposure to wood smoke in Monroe County during winter is associated with an increased odds of HDP during late gestation. Additional studies are needed to evaluate the effect of wood smoke on HDP and to explore effects on other pregnancy outcomes.

Prenatal Prediction of Difficult Intubation in Periviable Neonates Using Standard Fetal Biometric Parameters.

OBJECTIVE: To assess whether standard fetal biometric parameters can be used to predict difficult intubations in periviable neonates undergoing resuscitation. STUDY DESIGN: This is a retrospective case-control study of periviable neonates delivered at 23 to 256/7 weeks at an academic hospital during a 5-year period in whom intubation was attempted. Standard fetal biometric measurements were included if they were taken within 7 days of delivery. Primary outcome was intubation in one attempt and was compared with more than one attempt. Data were also collected for fetal gestational age at delivery, neonatal birth weight, estimated fetal weight, head circumference, biparietal diameter, and abdominal circumference. Parametric and nonparametric statistical tests used p < 0.05 as significant. RESULTS: In total, 93 neonates met the inclusion criteria. The mean estimated fetal weight was 675 g (standard deviation [SD] ± 140), and the mean neonatal birth weight was 706 g (SD ± 151). The median interval between fetal ultrasound and delivery was 3 days (range: 0-7 days). A total of 45 neonates (48.3%) required more than one intubation attempt. The median number of intubation attempts was 1 (range: 1-10). There was no association between intubation difficulty and fetal abdominal circumference, biparietal diameter, head circumference, gestational age, estimated fetal weight, and neonatal birth weight (all p > 0.05). CONCLUSION: Standard biometry in periviable neonates does not predict intubation difficulty.

Use of an Evidence-Based Guideline for Management of Side Effects from Long-Acting Reversible Contraceptives: A Quality Improvement Report.

INTRODUCTION: Many health care providers believe that women who initiate long-acting reversible contraceptives (LARC) discontinue the method because of side effects too soon for the method to be economical. The purpose of this quality improvement project was to implement and evaluate an evidence-based telephone triage nursing guideline for management of side effects of LARC with an ultimate goal of reducing the number of early discontinuations. PROCESS: A telephone triage guideline was adapted from the Contraceptive Choice Project's Clinician Call Back System, supplemented with evidence-based resources, and approved by clinicians at 2 community women's health and midwifery offices. Baseline retrospective data were collected on all women over the age of 18 who had LARC inserted at the 2 sites in the year prior to guideline implementation and in the 3 months after implementation. Rates of LARC removal at or before 3 months postinsertion, before and after guideline implementation, were evaluated. OUTCOMES: Approximately 1 in 5 women called for help managing LARC side effects. Of the callers, 3 of 32 (9.4%) women receiving standard care discontinued their LARC prior to 3 months, whereas 0 of 24 women who were triaged using the guideline discontinued their LARC prior to 3 months (P = .12). Cramping, bleeding, and malposition or expulsion were the most common concerns and reasons for discontinuation. DISCUSSION: Fewer women than anticipated called to report side effects, and even fewer chose to discontinue their LARC early. There were fewer discontinuations with guideline use, but this was not a statistically significant difference. Most women did not discontinue their LARC early for any reason, including side effects.

A Statewide Quality Improvement Initiative to Reduce Non-Medically Indicated Scheduled Deliveries.

Objectives To evaluate a large two-phase, statewide quality improvement (QI) collaborative to decrease non-medically indicated (N-MI) deliveries scheduled between 36 and 38 weeks gestation (early). Methods The New York State Department of Health (NYSDOH) convened a Perinatal Quality Collaborative to devise a two-phase QI initiative using a rapid cycle incremental learning model. Phase 1 included Regional Perinatal Centers (RPCs), and Phase 2 added their affiliated perinatal hospitals. Maternal demographics, delivery characteristics, medical indications, and stillbirths were collected on scheduled inductions and cesarean section (CS) deliveries between 36 and 38 weeks. Results There were 35,091 scheduled 36-38 week deliveries reported during the collaborative's 4 years. The percentage of early N-MI scheduled deliveries decreased 41-fold in RPCs (Phase 1 and Phase 2), and 17-fold in affiliates (Phase 2). There was a significant statewide increase in deliveries at ≥39 weeks (P < 0.001), with an estimated 23,732 early deliveries averted. Stillbirths did not increase over time (P = 0.42), although reporting was incomplete. Conclusions A two-phase, statewide QI collaborative in a large state with regionalized perinatal care effectively lowered the number of N-MI deliveries scheduled between 36 and 38 weeks gestation. Associated improvements in neonatal and early childhood developmental outcomes should translate to significant cost savings. This model can effectively be used for similar as well as other obstetrical QI.

Completed Sonographic Anatomic Surveys: The Exception Rather Than the Rule.

OBJECTIVES: To determine how often fetal organ systems are imaged completely and whether this rate varies by hospital. METHODS: All initial sonographic anatomic examinations between 16 and 24 weeks from 3 hospitals (perinatal designation levels I-III) from January 2012 through December 2013 were identified in their obstetric and gynecologic anatomic survey report databases, focusing on 36 anatomic fields. Structures were grouped into regions: brain, face, spine, heart, abdomen, and extremities. Rates of complete visualization of each structure, structure grouping, and the total were calculated and compared by χ2 testing. RESULTS: From 7211 examinations (2578 from level I, 986 from level II, and 3647 from level III), the completion rate was 16.8% (I, 20.6%; II, 20.0%; and III, 13.2%; P < .00001). Brain and extremity imaging was complete 85% of the time or more but spine only 62.4% (sacrum consistently lowest). Completeness rates varied significantly (P< .00001) for the face (28.1%-64.4%, due to low rates of clearing lips at level III, and level I not clearing profiles), heart (37.3%-56.1%, level I < II < III), and abdomen (65.2%-85.7%, due to lower rates of clearing kidneys at level I). Completion of both the heart and spine was 32.0% (I, 23.0%; II, 25.4%; and III, 40.2%; P < .00001). CONCLUSIONS: With a comprehensive reporting system, completion rates for full anatomic sonograms are low. Facial, cardiac, and spinal structures are least complete, and follow-up examinations often remain incomplete. Completion benchmarks would be helpful because "incomplete" studies lead to repeated examinations that increase health care costs.

Association Between Obesity During Pregnancy and the Adequacy of Prenatal Care.

OBJECTIVE: In the United States, more than a third of women are obese [body mass index (BMI) ≥ 30]. Although obese populations utilize health care at increased rates and have higher health care costs than non-obese patients, the adequacy of prenatal care in this population is not well established and assumed to be suboptimal. We therefore evaluated adequacy of prenatal care among obese women. METHODS: We utilized an electronic database including 7094 deliveries with pre-pregnancy BMI ≥ 18.5 from January 2009 through December 2011. Subjects were categorized as normal weight 18.5-24.9 kg/m2, overweight 25-29.9 kg/m2, and obese ≥30 kg/m2 (class I-II-III). Adequacy of prenatal care (PNC) was evaluated using the Kotelchuck Index (KI), corrected for gestational age at delivery. Adequate care was defined as KI "adequate" or "adequate plus," and non-adequate as "intermediate" or "inadequate." Chi square and logistic regression were used for comparisons. RESULTS: When compared to non-obese women, obese women were more likely to have adequate PNC (74.1 vs. 68.7%; OR 1.30, 95% CI 1.15-1.47). After adjusting for age, race, education, diabetes, hypertension, and practice type, obesity remained a significant predictor of adequate prenatal care (OR 1.29, 95% CI 1.14-1.46). While age and hypertension were not significant independent predictors of adequate PNC, college education, Caucasian, diabetes, and resident or MFM care had positive associations. CONCLUSION: Maternal obesity is associated with increased adequacy of prenatal care. Although some comorbidities associated with obesity increase utilization of prenatal services, this did not explain the improvement in PNC adequacy associated with obesity. SIGNIFICANCE: Overweight and obese women are at a higher risk of pregnancy complications with obesity contributing to increased morbidity and mortality of the mother. Several studies have evaluated barriers to routine health care services, with obese parturients perceiving their weight to be a barrier to obtaining appropriate care. There is limited data available assessing the adequacy of prenatal care in this population. Our study demonstrated that obesity was actually associated with an increased adequacy of prenatal care. The presence of comorbidities did not explain this improvement in prenatal care.

Third-Trimester Fetal Biometry and Neonatal Outcomes in Term and Preterm Deliveries.

OBJECTIVES: To determine whether specific biometric thresholds for head circumference, abdominal circumference, femur length, and estimated fetal weight can identify neonates at risk for adverse outcomes. METHODS: We conducted a retrospective analysis of women with sonographic biometry after 26 weeks' gestational age (GA) followed by delivery of term and preterm neonates from 2007 through 2011. The head circumference, abdominal circumference, femur length, and estimated fetal weight were obtained. Sonographic data were merged with birth certificate and neonatal data. Biometry and estimated fetal weight were divided into percentile thresholds: 10th and above (reference), below 10th, below 5th, and below 3rd. Neonatal outcomes included neonatal intensive care unit admission, 5-minute Apgar score less than 7, and a composite of any morbidity/mortality (hypoxic-ischemic encephalopathy, periventricular leukomalacia, necrotizing enterocolitis, sepsis, renal failure, or death). Logistic regression yielded odds ratios and 95% confidence intervals for biometry and outcome, then adjusted for GA at delivery. RESULTS: A total of 2237 patients delivered at term, and 455 delivered before term. Neonatal intensive care unit admission was not associated with any biometric threshold in the term and preterm groups. Five-minute Apgar score less than 7 was associated with head circumference below 10th, abdominal circumference below 3rd, and estimated fetal weight below 5th percentiles in the term group and head circumference below 10th, abdominal circumference below 10th, and femur length below 10th percentiles in the preterm group (P < .05). Composite morbidity/mortality was associated with abdominal circumference below 5th, femur length below 10th, and femur length below 3rd percentiles in the term group and head circumference below 5th, abdominal circumference below 10th, and femur length below 5th percentiles in the preterm group (P< .05). Adjustment for GA did not affect outcomes for term deliveries but did affect nearly all outcomes for preterm deliveries. CONCLUSIONS: Irrespective of GA, no one biometric threshold can accurately predict adverse neonatal outcomes.

Rates of major obstetrical complications vary almost fivefold among US hospitals.

Of the approximately four million women who give birth each year in the United States, nearly 13 percent experience one or more major complications. But the extent to which the rates of major obstetrical complications vary across hospitals in the United States is unknown. We used multivariable logistic regression models to examine the variation in obstetrical complication outcomes across US hospitals among a large, nationally representative sample of more than 750,000 obstetrical deliveries in 2010. We found that 22.55 percent of patients delivering vaginally at low-performing hospitals experienced major complications, compared to 10.42 percent of similar patients delivering vaginally at high-performing hospitals. Hospitals were classified as having low, average, or high performance based on a calculation of the relative risk that a patient would experience a major complication. Patients undergoing a cesarean delivery at low-performing hospitals had nearly five times the rate of major complications that patients undergoing a cesarean delivery at high-performing hospitals had (20.93 percent compared to 4.37 percent). Our finding that the rate of major obstetrical complications varies markedly across US hospitals should prompt clinicians and policy makers to develop comprehensive quality metrics for obstetrical care and focus on improving obstetrical outcomes.