Recognizing Excellence in Maternal and Child Health (MCH) Epidemiology: The National MCH Epidemiology Awards.

Purpose: Professionals in the field of maternal and child health (MCH) epidemiology are publicly recognized by the Coalition for Excellence in MCH Epidemiology representing 16 national MCH agencies and organizations. Description: During the CityMatCH Leadership and MCH Epidemiology Conference, the national awards are presented to public health professionals for improving the health of women, children, and families. The awards have evolved over the last two decades with focus on awardees that represent more types of MCH public health professionals. Assessment: Since 2000, the Coalition has presented 111 national awards in the areas of advancing knowledge, effective practice, outstanding leadership, excellence in teaching and mentoring, early career professional achievement, and lifetime achievement. Effective practice awards were most often presented at 45 awards, followed by early career professional achievement with 20. The awardees varied by place of employment with 37 employed at academic institutions, 33 in federal government positions, 32 in state or county government, seven in non-profit and two in clinical organizations. Awards were almost equally distributed by gender with 49 presented to women and 48 to men. Assessment of career advancement among previous awardees and acknowledging workforce challenges are gaps identified within the national awards process. Conclusion: Recognition of deserving MCH professionals sets the standard for those entering the field of MCH epidemiology and offers opportunity to recognize those who have built capacity and improved the health of women, children, and families.

Considering pregnancies as repeated vs independent events: an empirical comparison of common approaches across selected perinatal outcomes.

BACKGROUND: In population-based research, pregnancy may be a repeated event. Despite published guidance on how to address repeated pregnancies to the same individual, a variety of approaches are observed in perinatal epidemiological studies. While some of these approaches are supported by the chosen research question, others are consequences of constraints inherent to a given dataset (eg, missing parity information). These decisions determine how appropriately a given research question can be answered and overall generalizability. OBJECTIVE: To compare common cohort selection and analytic approaches used for perinatal epidemiological research by assessing the prevalence of two perinatal outcomes and their association with a clinical and a social independent variable. STUDY DESIGN: Using vital records linked to maternal hospital discharge records for singleton births, we created four cohorts: (1) all-births (2) randomly selected one birth per individual (3) first-observed birth per individual (4) primiparous-births (parity 1). Sampling of births was not conditional on cluster (ie, we did not sample all births by a given mother, but rather sampled individual births). Study outcomes were severe maternal morbidity (SMM) and preeclampsia/eclampsia, and the independent variables were self-reported race/ethnicity (as a social factor) and systemic lupus erythematosus. Comparing the four cohorts, we assessed the distribution of maternal characteristics, the prevalence of outcomes, overall and stratified by parity, and risk ratios (RR) for the associations of outcomes with independent variables. Among all-births, we then compared RR from three analytic strategies: with standard inference that assumes independently sampled births to the same mother in the model, with cluster-robust inference, and adjusting for parity. RESULTS: We observed minor differences in the population characteristics between the all-birth (N=2736,693), random-selection, and first-observed birth cohorts (both N=2284,660), with more substantial differences between these cohorts and the primiparous-births cohort (N=1054,684). Outcome prevalence was consistently lowest among all-births and highest among primiparous-births (eg, SMM 18.9 per 1000 births among primiparous-births vs 16.6 per 1000 births among all-births). When stratified by parity, outcome prevalence was always the lowest in births of parity 2 and highest among births of parity 1 for both outcomes. RR differed for study outcomes across all four cohorts, with the most pronounced differences between the primiparous-birth cohort and other cohorts. Among all-births, robust inference minimally impacted the confidence bounds of estimates, compared to the standard inference, that is, crude estimates (eg, lupus-SMM association: 4.01, 95% confidence intervals [CI] 3.54-4.55 vs 4.01, 95% CI 3.53-4.56 for crude estimate), while adjusting for parity slightly shifted estimates, toward the null for SMM and away from the null for preeclampsia/eclampsia. CONCLUSION: Researchers should consider the alignment between the methods they use, their sampling strategy, and their research question. This could include refining the research question to better match inference possible for available data, considering alternative data sources, and appropriately noting data limitations and resulting bias, as well as the generalizability of findings. If parity is an established effect modifier, stratified results should be presented.

Estimating Gestational Age and Prediction of Preterm Birth Using Metabolomics Biomarkers.

Preterm birth (PTB) is a leading cause of morbidity and mortality in children aged under 5 years globally, especially in low-resource settings. It remains a challenge in many low-income and middle-income countries to accurately measure the true burden of PTB due to limited availability of accurate measures of gestational age (GA), first trimester ultrasound dating being the gold standard. Metabolomics biomarkers are a promising area of research that could provide tools for both early identification of high-risk pregnancies and for the estimation of GA and preterm status of newborns postnatally.

Hospital Factors Associated with the Survival of Infants Born at Periviable Gestation: The USA National Database.

Background: Reports on the survival of infants born at periviable gestation (GA of ≤24 weeks and birth weight of <500 gm) vary significantly. We aimed to determine hospital factors associated with their survival and to assess the trend for the timing of postnatal mortality in these periviable infants. Methods: We utilized the de-identified National Inpatient Sample (NIS) dataset of the Healthcare Cost and Utilization Project (HCUP) from the Agency for Healthcare Research and Quality (AHRQ). National data were analyzed for the years 2010-2018. Hospitals were categorized according to delivery volume, USA regions, and teaching status. Results: We identified 33,998,014 infants born during the study period; 76,231 infants were ≤24 weeks. Survival at birth and first 2 days of life was greatest in urban teaching hospitals in infants <24 weeks and those who completed 24 weeks, respectively. The Northeast region has the lowest survival rate. There was a significant delay in the postnatal day of mortality in periviable infants. Conclusions: Hospital factors are associated with increased survival rates. Improved survival in large teaching hospitals supports the need for the regionalization of care in infants born at the limits of viability. There was a significant delay in the postnatal mortality day.

Pregnancy characteristics and outcomes among birthing individuals with a diagnosis of fetal alcohol syndrome.

BACKGROUND: Fetal alcohol syndrome (FAS) can have adverse effects on health outcomes throughout the life course. Adults with FAS have an increased risk of chronic and infectious diseases. Although these conditions can affect reproductive health, few have described perinatal outcomes among individuals with an FAS diagnosis. METHODS: We analyzed data from the Study of Mothers and Infants, an administrative birth cohort derived from California birth certificates linked with a hospital discharge database. The cohort consisted of 7.3 million singleton, live births between 2005 and 2021. FAS was identified by International Classification of Diseases (ICD) codes in maternal hospital discharge records. Pregnancy and birth outcomes were captured via ICD codes in maternal or infant records. We performed descriptive analyses for pregnancy and birth outcomes by maternal FAS diagnosis. RESULTS: There were 35 babies born to 30 individuals with an FAS diagnosis between 2005 and 2021 (0.5/100,000 live births). The prevalence of births to individuals with an FAS diagnosis increased over the period. Individuals with an FAS diagnosis were more likely to identify as non-Hispanic White, or "other/multiple" race, and less likely to be Hispanic than those without FAS. They were also more likely to be publicly insured and less than 18 years old. Birthing individuals with FAS were also more likely to use nicotine during pregnancy and to have diagnoses of mental health disorders, epilepsy, substance use disorders, preexisting or gestational hypertension, and sexually transmitted infections or other infections complicating pregnancy. Infants of individuals with FAS were more likely to be born prematurely or small for gestational age and be admitted to the neonatal intensive care unit. CONCLUSIONS: These findings highlight the need for improved recognition of FAS among birthing people. The results suggest that individuals with FAS would benefit from early and sustained medical care prior to pregnancy to optimize perinatal outcomes.

Addressing the smoking-hypertension paradox in pregnancy: insight from a multiethnic US birth cohort.

Background: Smoking during pregnancy has been associated with reduced risk of a spectrum of hypertensive (HTN) disorders, known as the "smoking-hypertension paradox." Objective: We sought to test potential epidemiologic explanations for the smoking-hypertension paradox. Methods: We analyzed 8510 pregnant people in the Boston Birth Cohort, including 4027 non-Hispanic Black and 2428 Hispanic pregnancies. Study participants self-reported tobacco, alcohol, cannabis, opioids, or cocaine use during pregnancy. We used logistic regression to assess effect modification by race/ethnicity, and confounding of concurrent substances on hypertensive disorders or prior pregnancy. We also investigated early gestational age as a collider or competing risk for pre-eclampsia, using cause-specific Cox models and Fine-Gray models, respectively. Results: We replicated the paradox showing smoking to be protective against hypertensive disorders among Black participants who used other substances as well (aOR: 0.61, 95% CI: 0.41, 0.93), but observed null effects for Hispanic participants (aOR: 1.14, 95% CI: 0.55, 2.36). In our cause-specific Cox regression, the effects of tobacco use were reduced to null effects with pre-eclampsia (aOR: 0.81, 95% CI: 0.63, 1.04) after stratifying for preterm birth. For the Fine-Gray competing risk analysis, the paradoxical associations remained. The smoking paradox was either not observed or reversed after accounting for race/ethnicity, other substance use, and collider-stratification due to preterm birth. Conclusions: These findings offer new insights into this paradox and underscore the importance of considering multiple sources of bias in assessing the smoking-hypertension association in pregnancy.

Disparities in Neonatal Mortalities in the United States.

OBJECTIVE: We aimed to look for the mortality of Black and White Neonates and compare the Black and White neonates' mortalities after stratifying the population by many significant epidemiologic and hospital factors. DESIGN/METHOD: We utilized the National Inpatient Sample (NIS) dataset over seven years from 2012 through 2018 for all neonates ≤ 28 days of age in all hospitals in the USA. Neonatal characteristics used in the analysis included ethnicity, sex, household income, and type of healthcare insurance. Hospital characteristics were urban teaching, urban non-teaching, and rural. Hospital location was classified according to the nine U.S. Census Division regions. RESULTS: Neonatal mortality continues to be higher in Black populations: 21,975 (0.63%) than in White populations: 35,495 (0.28%). Government-supported health insurance was significantly more among Black populations when compared to White (68.8% vs. 35.3% p < 0.001). Household income differed significantly; almost half (49.8%) of the Black population has income ≤ 25th percentile vs. 22.1% in White. There was a significant variation in mortality in different U.S. LOCATIONS: In the Black population, the highest mortality was in the West North Central division (0.72%), and the lower mortality was in the New England division (0.51%), whereas in the White population, the highest mortality was in the East South-Central division (0.36%), and the lowest mortality was in the New England division (0.21%). Trend analysis showed a significant decrease in mortality in Black and White populations over the years, but when stratifying the population by sex, type of insurance, household income, and type of hospital, the mortality was consistently higher in Black groups throughout the study years. CONCLUSIONS: Disparities in neonatal mortality continue to be higher in Black populations; there was a significant variation in mortality in different U.S. LOCATIONS: In the Black population, the highest mortality was in the West North Central division, and the lower mortality was in the New England division, whereas in the White population, the highest mortality was in the East South Central division, and the lowest mortality was in the New England division. There has been a significant decrease in mortality in Black and White populations over the years, but when stratifying the population by many significant epidemiologic and hospital factors, the mortality was consistently higher in Black groups throughout the study years.

Maternal weight and paediatric health use: mediating role of adverse birth outcomes: a retrospective cohort study.

BACKGROUND: Maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) above or below recommendations have been associated with increased paediatric health service utilization as well as increased risk of adverse birth outcomes, including small for gestational age (SGA) and preterm birth (PTB). SGA and PTB are associated with numerous adverse health outcomes in the child, including delayed growth, motor and cognitive impairment. Previous research has identified birth weight and gestational age on the causal pathway in the association between maternal pre-pregnancy BMI and child hospital admissions, there are no studies to date to quantify this relationship across other areas of health service utilization, nor the impact of gestational weight gain. This study aimed to assess if SGA or PTB partially explain the association between maternal weight and paediatric health service utilization. METHODS: The study population consisted of all women who delivered a singleton, live infant in Ontario between 2012 and 2014, and was assembled from data contained in the provincial birth registry. Health service utilization over the first 24 months following birth was examined by linking data from the registry with other provincial health administrative databases housed at ICES. The mediating roles of PTB and SGA were assessed using the Baron-Kenny method and causal mediation analysis. RESULTS: A total of 204,162 infants were included in the analysis of maternal pre-pregnancy BMI and 171,127 infants were included in the GWG analysis. The small magnitude of association between maternal BMI and paediatric health service utilization impacted our ability to estimate the indirect effect of maternal BMI through adverse birth outcomes (adjusted indirect effect = 0.00). 56.7% of the association between below recommended GWG and increased hospitalizations was attributed to PTB, while 6.8% of the association was attributed to SGA. CONCLUSION: Paediatric hospitalizations may be partially attributable to PTB and SGA in children born to mothers with below-recommended GWG. However, maternal weight also appears to be related to increased paediatric health service utilization independent of PTB and SGA.

Exogenous oxytocin administration during labor and autism spectrum disorder.

BACKGROUND: Oxytocin is a neuropeptide hormone that plays a key role in social behavior, stress regulation, and mental health. Synthetic oxytocin administration is a common obstetrical practice, and importantly, previous research has suggested that intrapartum exposure may increase the risk of neurodevelopmental disorders, such as autism spectrum disorder. OBJECTIVE: This study aimed to examine the association between synthetic oxytocin exposure during labor and autism spectrum disorder diagnosis in the child. STUDY DESIGN: This population-based retrospective cohort study compared 2 cohorts of children: (1) all children born in British Columbia, Canada between April 1, 2000 and December 31, 2014 (n=414,336 births), and (2) all children delivered at Soroka University Medical Center in Be'er-Sheva, Israel between January 1, 2011 and December 31, 2019 (n=82,892 births). Nine different exposure groups were examined. Cox proportional hazards models were used to estimate crude and adjusted hazard ratios of autism spectrum disorder in both cohorts on the basis of induction and/or augmentation exposure status. To further control for confounding by indication, we conducted sensitivity analyses among a cohort of healthy, uncomplicated deliveries and among a group that was induced only for postdates. In addition, we stratified our analyses by infant sex to assess for potential sex differences. RESULTS: In the British Columbia cohort, 170,013 of 414,336 deliveries (41.0%) were not induced or augmented, 107,543 (26.0%) were exposed to oxytocin, and 136,780 (33.0%) were induced or augmented but not exposed to oxytocin. In the Israel cohort, 51,790 of 82,892 deliveries (62.5%) were not induced or augmented, 28,852 (34.8%) were exposed to oxytocin, and 2250 (2.7%) were induced or augmented but not exposed to oxytocin. On adjusting for covariates in the main analysis, significant associations were observed in the Israel cohort, including adjusted hazard ratios of 1.51 (95% confidence interval, 1.20-1.90) for oxytocin-augmented births and 2.18 (95% confidence interval, 1.32-3.57) for those induced by means other than oxytocin and not augmented. However, oxytocin induction was not significantly associated with autism spectrum disorder in the Israel cohort. In the Canadian cohort, there were no statistically significant adjusted hazard ratios. Further, no significant sex differences were observed in the fully adjusted models. CONCLUSION: This study supports that induction of labor through oxytocin administration does not increase the risk of autism spectrum disorder in the child. Our international comparison of 2 countries with differences in clinical practice regarding oxytocin administration for induction and/or augmentation suggests that previous studies reporting a significant association were likely confounded by the underlying indication for the induction.

Pregnancy outcomes after preterm premature rupture of membranes: The Japan Environment and Children's Study.

AIM: To evaluate the pregnancy outcomes of preterm premature rupture of membranes (preterm PROM; PPROM) by gestational age. METHODS: This cohort study analyzed data from the Japan Environment and Children's Study. Pregnancy outcomes were documented using descriptive statistics. Logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of complications. RESULTS: Data were collected for 104 062 fetuses, and 99 776 were eligible for inclusion. The incidences of early (18-23 weeks) and late (24-36 weeks) PPROM were 0.1% (n = 102) and 1.2% (n = 1205), respectively. Of the 1307 cases, 66 (5.0%) resulted in miscarriage or stillbirth. Overall, 85.6% (1119/1307) resulted in preterm births, and 9.3% (122/1307) in term births. There was a higher incidence of oligohydramnios (OR 6.82, 95% CI 4.07, 11.4; OR 2.42, 95% CI 1.72, 3.40), intrauterine infection (OR 11.9, 95% CI 7.06, 19.9; OR 4.39, 95% CI 3.01, 6.41), cesarean delivery (OR 3.31, 95% CI 2.32, 4.71; OR 1.34, 95% CI 0.97, 1.85), placental abruption (OR 5.57, 95% CI 2.30, 13.5; OR 5.40, 95% CI 3.58, 8.14), and 5-min Apgar score <7 (OR 35.3, 95% CI 21.5, 57.9; OR 2.66, 95% CI 1.75, 4.05) for early and late, compared to no, PPROM, respectively. Miscarriage or stillbirth was higher in early (OR 5.84, 95% CI 3.72, 9.15) and lower in late (OR 0.21, 95% CI 0.06, 0.68) compared to those without PPROM. CONCLUSIONS: This study described the epidemiology of pregnancy outcomes of early (occurring at the limit of viability) and late PPROM.

Maternal smoking during pregnancy and type 1 diabetes in the offspring: a nationwide register-based study with family-based designs.

BACKGROUND: Maternal smoking during pregnancy was reported to be associated with a reduced risk of type 1 diabetes in the offspring. We investigated whether this association is consistent with a causal interpretation by accounting for familial (shared genetic and environmental) factors using family-based, quasi-experimental designs. METHODS: We included 2,995,321 children born in Sweden between 1983 and 2014 and followed them for a diagnosis of type 1 diabetes until 2020 through the National Patient, Diabetes and Prescribed Drug Registers. Apart from conducting a traditional cohort study, we performed a nested case-control study (quasi-experiment) comparing children with type 1 diabetes to their age-matched siblings (or cousins). Information on maternal smoking during pregnancy was retrieved from the Swedish Medical Birth Register. Multivariable adjusted Cox proportional hazards regression and conditional logistic regression were used. RESULTS: A total of 18,617 children developed type 1 diabetes, with a median age at diagnosis of 9.4 years. The sibling and cousin comparison design included 14,284 and 7988 of these children, respectively. Maternal smoking during pregnancy was associated with a 22% lower risk of offspring type 1 diabetes in the full cohort (hazard ratio 0.78, 95% confidence interval [CI] 0.75-0.82). The corresponding odds ratio was 0.78 (95% CI 0.69-0.88) in the sibling and 0.72 (95% CI 0.66-0.79) in the cousin comparison analysis. CONCLUSIONS: This nationwide, family-based study provides support for a protective effect of maternal smoking on offspring type 1 diabetes. Mechanistic studies are needed to elucidate the underlying pathways behind this link.

Population-based associations between maternal pre-pregnancy body mass index and spontaneous and medically indicated preterm birth using restricted cubic splines in California.

BACKGROUND: The literature pertaining to risk of spontaneous preterm birth (sPTB) as related to body mass index (BMI), specifically high BMI, is conflicting. OBJECTIVE: To assess the relationships between maternal prepregnancy BMI and sPTB separately for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, and Asians. METHODS: Population-based cohort study of mothers who delivered a singleton livebirth in California from 2007 to 2012. Associations between BMI and sPTB were estimated from Cox proportional hazard models. BMI was modelled with restricted cubic splines to account for nonlinear relationships. RESULTS: A total of 2,645,950 births were included in the analysis, 135,357 (5.12%) in which the mother had a sPTB. Compared to mothers within the same race/ethnicity and a BMI of 26 kg/m2, all mothers with a BMI 28 kg/m2 or higher had significantly elevated adjusted hazard ratios for sPTB. Asian mothers with a BMI between 16 and 25 kg/m2 had significantly decreased hazard ratios for sPTB while a of BMI 20 kg/m2 or less among non-Hispanic White, non-Hispanic Black, and Hispanic mothers showed increased hazard ratios. CONCLUSION: This study observed that mothers with high prepregnancy BMIs were more likely to experience sPTB across all race/ethnicities.

A potential outcomes approach to defining and estimating gestational age-specific exposure effects during pregnancy.

Many studies seek to evaluate the effects of potentially harmful pregnancy exposures during specific gestational periods. We consider an observational pregnancy cohort where pregnant individuals can initiate medication usage or become exposed to a drug at various times during their pregnancy. An important statistical challenge involves how to define and estimate exposure effects when pregnancy loss or delivery can occur over time. Without proper consideration, the results of standard analysis may be vulnerable to selection bias, immortal time-bias, and time-dependent confounding. In this study, we apply the "target trials" framework of Hernán and Robins in order to define effects based on the counterfactual approach often used in causal inference. This effect is defined relative to a hypothetical randomized trial of timed pregnancy exposures where delivery may precede and thus potentially interrupt exposure initiation. We describe specific implementations of inverse probability weighting, G-computation, and Targeted Maximum Likelihood Estimation to estimate the effects of interest. We demonstrate the performance of all estimators using simulated data and show that a standard implementation of inverse probability weighting is biased. We then apply our proposed methods to a pharmacoepidemiology study to evaluate the potentially time-dependent effect of exposure to inhaled corticosteroids on birthweight in pregnant people with mild asthma.

Prenatal subjective social status and birth weight.

PURPOSE: Subjective social status (SSS), perceived social standing relative to others, has been associated with health status, independent of objective socioeconomic status (SES). Few studies have examined the relationship of prenatal maternal SSS with birth outcomes. We evaluated the association of SSS in pregnancy with low birth weight (LBW) and high birth weight (HBW). METHODS: A total of 378 pregnant women rated their SSS from 1 (low) to 10 (high) compared to others in the United States (SSS-US) and compared to their community (SSS-Comm). Multivariable logistic regression was used to examine the relationship between SSS and odds of LBW or HBW. RESULTS: Higher SSS-US was associated with lower odds of HBW in unadjusted models (OR 0.76, 95% CI 0.60-0.96; p < 0.05); this relationship persisted after controlling for objective SES, health, and demographic factors (OR 0.73, 95% CI 0.53-0.99; p < 0.05). Neither SSS measure was associated with LBW. CONCLUSIONS: Pregnant women who view themselves as having lower status than others in the US have greater odds of HBW, over and above the influence of factors known to be associated with birth weight. SSS, a brief and non-stigmatizing measure, might help identify women at elevated social risk for adverse birth outcomes.

Evidence of disparities in the provision of the maternal postpartum 6-week check in primary care in England, 2015-2018: an observational study using the Clinical Practice Research Datalink (CPRD).

BACKGROUND: A maternal postpartum 6-week check (SWC) with a general practitioner (GP) is now considered an essential service in England, a recent policy change intended to improve women's health. We aimed to provide an up-to-date snapshot of the prevalence of SWC prior to the policy change as a baseline, and to explore factors associated with having a late or no check. METHODS: We conducted a cohort study using primary care records in England (Clinical Practice Research Datalink (CPRD)). 34 337 women who gave birth between 1 July 2015 and 30 June 2018 and had ≥12 weeks of follow-up post partum were identified in the CPRD Pregnancy Register. The proportion who had evidence of an SWC with a GP was calculated, and regression analysis was used to assess the association between women's characteristics and risks of a late or no check. RESULTS: Sixty-two per cent (95% CI 58% to 67%) of women had an SWC recorded at their GP practice within 12 weeks post partum, another 27% had other consultations. Forty per cent had an SWC at the recommended 6-8 weeks, 2% earlier and 20% later. A late or no check was more common among younger women, mothers of preterm babies or those registered in more deprived areas. CONCLUSIONS: Nearly 40% of women did not have a postpartum SWC recorded. Provision or uptake was not equitable; younger women and those in more deprived areas were less likely to have a record of such check, suggesting postpartum care in general practice may be missing some women who need it most.

Gestational weight gain in a migration context: are migrant women more at risk of inadequate or excessive weight gain during pregnancy?

BACKGROUND: Inadequate or excessive gestational weight gain (GWG) is associated with adverse maternal and neonatal outcomes. Little is known on adequacy of GWG in migrant women. This study investigates whether migrant women in France are at higher risk of inadequate or excessive GWG, and what characteristics are associated with GWG in migrant and non-migrant groups. METHODS: We used data from the PreCARE multicentric prospective cohort (N=10 419). The study includes 5403 women with singleton deliveries, with non-migrant (n=2656) and migrant (n=2747) status. We used multinomial logistic regression, adjusting for maternal age and parity, to investigate the association of migrant status, socioeconomic status-related variables and GWG. In stratified analyses, we identified factors associated with GWG in both groups. RESULTS: Compared with non-migrant women, migrant women had increased risk of inadequate GWG (adjusted odds ratio (aOR) 1.18; 95% CI 1.03 to 1.34). Non-migrant women with foreign origins had increased risk of excessive GWG (aOR 1.58; 95% CI 1.30 to 1.92). Women born in Sub-Saharan Africa had increased risk of both inadequate and excessive GWG. Regardless of migration status, women with lower education and women who did not start pregnancy with a normal weight were less likely to gain adequately. Inadequate prenatal care was associated with inadequate GWG only among non-migrant women. CONCLUSION: Migrant women are at higher risk of inadequate GWG.

Maternal, infant, and environmental risk factors for sudden unexpected infant deaths: results from a large, administrative cohort.

OBJECTIVES: Many studies of sudden unexpected infant death (SUID) have focused on individual domains of risk factors (maternal, infant, and environmental), resulting in limited capture of this multifactorial outcome. The objective of this study was to examine the geographic distribution of SUID in San Diego County, and assess maternal, infant, and environmental risk factors from a large, administrative research platform. STUDY DESIGN: Births in California between 2005 and 2017 were linked to hospital discharge summaries and death files. From this retrospective birth cohort, cases of SUID were identified from infant death files in San Diego County. We estimated adjusted hazard ratios (aHRs) for infant, maternal, and environmental factors and SUID in multivariable Cox regression analysis. Models were adjusted for maternal sociodemographic characteristics and prenatal nicotine exposure. RESULTS: There were 211 (44/100,000 live births; absolute risk 0.04%) infants with a SUID among 484,905 live births. There was heterogeneity in geographic distribution of cases. Multiparity (0.05%; aHR 1.4, 95% confidence interval (CI) 1.1, 1.9), maternal depression (0.11%; aHR 1.8, 95% CI 1.0, 3.4), substance-related diagnoses (0.27%; aHR 2.3, 95% CI 1.3, 3.8), cannabis-related diagnosis (0.35%; aHR 2.7, 95% CI 1.5, 5.0), prenatal nicotine use (0.23%; aHR 2.5, 95% CI 1.5, 4.2), preexisting hypertension (0.11%; aHR 2.3, 95% CI 1.2, 4.3), preterm delivery (0.09%; aHR 2.1, 95% CI 1.5, 3.0), infant with a major malformation (0.09%; aHR 2.0, 95% CI 1.1, 3.6), respiratory distress syndrome (0.12%; aHR 2.6, 95% CI 1.5, 4.6), and select environmental factors were all associated with SUID. CONCLUSIONS: Multiple risk factors were confirmed and expanded upon, and the geographic distribution for SUID in San Diego County was identified. Through this approach, prevention efforts can be targeted to geographies that would benefit the most.

Perinatal epidemiology: Issues, challenges, and potential solutions.

Perinatal epidemiology research is concerned with identifying the effects of events during pregnancy on pregnancy outcomes that include maternal, fetal, and neonatal health outcomes. Randomized trials in perinatal research face many challenges, including randomization difficulties, ethical considerations, and inadequate statistical power due to the small number of subjects eligible for participation. For these reasons, most epidemiological studies conducted in this research field are observational and include different types of bias. This review describes the key methodological difficulties in the design and analysis of randomized and observational studies in perinatal epidemiology, and provides potential corrective approaches.

Predictors of incomplete maternal satisfaction with neuraxial labor analgesia: A nationwide study.

PURPOSE: Neuraxial analgesia is effective and widely used during labour, but little is known about maternal satisfaction with its use. Our objectives were to assess the frequency of incomplete maternal satisfaction with neuraxial labour analgesia and its predictors. METHODS: We extracted data from the 2016 National Perinatal Survey, a cross-sectional population-based study including all births during one week in all French maternity units. This analysis included all women who attempted vaginal delivery with neuraxial analgesia. Maternal satisfaction with analgesia was assessed by a 4-point Likert scale during a postpartum interview. Incomplete satisfaction grouped together women who were fairly, not sufficiently and not at all satisfied. We performed generalised estimating equations analyses adjusted for sociodemographic, obstetric, anaesthetic, and organisational characteristics to compare women with incomplete satisfaction to those completely satisfied. RESULTS: Among the 8538 women included, 35.2% were incompletely satisfied with their neuraxial analgesia. The odds of incomplete satisfaction were higher among women who reported a prenatal preference not to use neuraxial analgesia but subsequently did (adjusted odds ratio 1.21; 95% confidence interval 1.05-1.39) and among those who did not use patient-controlled neuraxial analgesia (1.20; 1.07-1.34); the odds were lower among women who used combined spinal epidural analgesia (0.53; 0.28-0.99) than among those with epidural analgesia. CONCLUSION: Incomplete maternal satisfaction with neuraxial analgesia is a frequent concern in France. Increasing the use of patient-controlled neuraxial analgesia and combined spinal-epidural analgesia, as well as consistency between prenatal preference and actual use of neuraxial analgesia may improve maternal satisfaction.

Risk factors for very preterm delivery out of a level III maternity unit: The EPIPAGE-2 cohort study.

BACKGROUND: Regionalisation programmes aim to ensure that very preterm infants are born in level III units (inborn) through antenatal referral or transfer. Despite widespread knowledge about better survival without disability for inborn babies, 10%-30% of women deliver outside these units (outborn). OBJECTIVE: To investigate risk factors associated with outborn deliveries and to estimate the proportion that were probably or possibly avoidable. METHODS: We used a national French population-based cohort including 2205 women who delivered between 24 and 30+6  weeks in 2011. We examined risk factors for outborn delivery related to medical complications, antenatal care, sociodemographic characteristics and living far from a level III unit using multivariable binomial regression. Avoidable outborn deliveries were defined by pregnancy risk (obstetric history, antenatal hospitalisation) and time available for transfer. RESULTS: 25.0% of women were initially booked in level III, 9.1% were referred, 49.8% were transferred, and 16.1% had outborn delivery. Risk factors for outborn delivery were gestational age <26 weeks (adjusted relative risk (aRR) 1.37, 95% confidence interval (CI) 1.13, 1.66), inadequate antenatal care (aRR 1.39, 95% CI 1.10, 1.81), placental abruption (aRR 1.66, 95% CI 1.27, 2.17), and increased distance to the closest level III unit ((aRR 2.79, 95% CI 2.00, 3.92) in the 4th versus 1st distance quartile). Among outborn deliveries, 16.7% were probably avoidable, and 25.6% possibly avoidable, which could increase the proportion of inborn deliveries between 85.9% and 92.9%. Avoidable outborn deliveries were mainly associated with gestational age, intrauterine growth restriction, preterm premature rupture of membranes, and haemorrhage, but not distance. CONCLUSIONS: Our study identified some modifiable risk factors for outborn delivery; however, when regionalised care relies heavily on antenatal transfer, as it does in France, only some outborn deliveries may be prevented. Earlier referral of high-risk women will be needed to achieve full access to tertiary care.