Alcohol Intake in Early Pregnancy and Spontaneous Preterm Birth: A Cohort Study

Dose-response effect of prenatal alcohol exposure on perinatal outcomes

BACKGROUND

A better understanding of the effects of lower levels of prenatal alcohol exposure (PAE), as a common exposure, is needed. The goal of this study was to examine the effects of mild-moderate PAE and episodic binge drinking on perinatal outcomes.

METHODS

The data were obtained from three prospective cohorts with a combined sample of 281 participants: 125 with PAE and 156 without PAE. Alcohol-related measures included the Alcohol Use Disorders Identification Test, timeline follow-back questionnaires (covering the periconceptional period, mid-gestation, and late gestation), and biomarkers. Absolute alcohol per day (AAD) and per drinking day (AADD), number of binge episodes, and maximum number of drinks in a 24-h period were estimated. Perinatal outcomes included gestational age and anthropometric measures. Data were analyzed using correlation and multivariable regression analysis.

RESULTS

Among women with PAE, average alcohol consumption across the periconceptional period and pregnancy was 0.37 oz ± 0.74 AA/day (~5 drinks/week). After adjusting for tobacco co-exposure and sociodemographic characteristics, significant associations between all alcohol measures and gestational age at delivery were observed, including cumulative measures of AAD (β = -0.58; 95% CI: -0.98; -0.17) and AADD (β = -0.58; 95% CI: -0.90; -0.26) during pregnancy and the periconceptional period. A significant association between the maximum number of drinks in a 24-h period and birth length percentile (β = -0.70; 95% CI: -1.36; -0.04) was observed in the final model. PAE was associated with lower birth weight percentile in univariate analyses only.

CONCLUSIONS

Results of this study demonstrate a negative association between mild-moderate PAE and episodic binge drinking with gestational age at delivery and birth length percentile after controlling for other factors. Robust negative effects of PAE, including in the periconceptional period before pregnancy recognition, on duration of gestation highlight the need for primary prevention efforts aimed at PAE in persons of reproductive age.

The long-term impact of elevated C-reactive protein levels during pregnancy on brain morphology in late childhood

IMPORTANCE

Animal studies show that Maternal Immune Activation (MIA) may have detrimental effects on fetal brain development. Clinical studies provide evidence for structural brain abnormalities in human neonates following MIA, but no study has investigated the long-term effects of MIA (as measured with biomarkers) on human brain morphology ten years after the exposure.

OBJECTIVE

Our aim was to evaluate the long-term impact of MIA on brain morphology in 10-year-old children, including the possible mediating role of gestational age at birth.

DESIGN

We leveraged data from Generation R, a large-scale prospective pregnancy cohort study. Pregnant women were included between 2002 and 2006, and their children were invited to participate in the MRI study between 2013 and 2015. To be included, mother-child dyads had to have data on maternal C-reactive protein levels during gestation and a good quality MRI-scan of the child's brain at age 10 years. Of the 3,992 children scanned, a total of 2,053 10-year-old children were included in this study.

EXPOSURE

Maternal C-reactive protein was measured in the first 18 weeks of gestation. For the analyses we used both a continuous approach as well as a categorical approach based on clinical cut-offs to determine if there was a dose-response relationship.

MAIN OUTCOMES AND MEASURES

High-resolution MRI brain morphology measures were used as the primary outcome. Gestational age at birth, established using ultrasound, was included as a mediator using a causal mediation analysis. Corrections were made for relevant confounders and multiple comparisons. Biological sex was investigated as moderator.

RESULTS

We found a direct association between continuous MIA and lower cerebellar volume. In girls, we demonstrated a negative indirect association between continuous MIA and total brain volume, through the mediator gestational age at birth. We observed no associations with categorical MIA after multiple testing correction.

CONCLUSION AND RELEVANCE

Our results suggest sex-specific long-term effects in brain morphology after MIA. Categorical analyses suggest that this association might be driven by acute infections or other sources of severe inflammation, which is of clinical relevance given that the COVID-19 pandemic is currently affecting millions of pregnant women worldwide.

Recurrent preterm birth risk assessment for two delivery subtypes: A multivariable analysis

OBJECTIVE

The study sought to develop and apply a framework that uses a clinical phenotyping tool to assess risk for recurrent preterm birth.

MATERIALS AND METHODS

We extended an existing clinical phenotyping tool and applied a 4-step framework for our retrospective cohort study. The study was based on data collected in the Genomic and Proteomic Network for Preterm Birth Research Longitudinal Cohort Study (GPN-PBR LS). A total of 52 sociodemographic, clinical and obstetric history-related risk factors were selected for the analysis. Spontaneous and indicated delivery subtypes were analyzed both individually and in combination. Chi-square analysis and Kaplan-Meier estimate were used for univariate analysis. A Cox proportional hazards model was used for multivariable analysis.

RESULTS

: A total of 428 women with a history of spontaneous preterm birth qualified for our analysis. The predictors of preterm delivery used in multivariable model were maternal age, maternal race, household income, marital status, previous caesarean section, number of previous deliveries, number of previous abortions, previous birth weight, cervical insufficiency, decidual hemorrhage, and placental dysfunction. The models stratified by delivery subtype performed better than the naïve model (concordance 0.76 for the spontaneous model, 0.87 for the indicated model, and 0.72 for the naïve model).

DISCUSSION

The proposed 4-step framework is effective to analyze risk factors for recurrent preterm birth in a retrospective cohort and possesses practical features for future analyses with other data sources (eg, electronic health record data).

CONCLUSIONS

We developed an analytical framework that utilizes a clinical phenotyping tool and performed a survival analysis to analyze risk for recurrent preterm birth.