INTRODUCTION: Adverse childhood experiences (ACEs) are preventable, potentially traumatic events that occur in childhood. Alcohol use during pregnancy can result in miscarriage, stillbirth, preterm birth, and a range of lifelong behavioral, intellectual, and physical disabilities in the child. Limited research has examined the relationship between ACEs and alcohol use in pregnancy; available studies might not reflect current trends in this relationship. METHODS: Using 2019-2023 Behavioral Risk Factor Surveillance System data from 41 U.S. jurisdictions, the prevalence of self-reported current alcohol use among pregnant persons aged 18-49 years (N = 2371) was estimated by ACEs and selected characteristics. We calculated unadjusted and adjusted prevalence ratios (aPR) for the relationship between ACEs and alcohol use during pregnancy. RESULTS: The prevalence of current alcohol use was 16.2 % (95 % CI = 11.5-20.9) among pregnant persons who reported experiencing four or more ACEs, and 8.6 % (95 % CI = 5.7-11.5) among those who reported no ACEs. When adjusting for sociodemographic characteristics, pregnant persons who reported four or more ACEs were more likely to report current alcohol use compared to those who reported no ACEs (aPR = 1.8, 95 % CI = 1.1-2.9). Individually, pregnant persons who experienced emotional abuse (aPR = 1.9, 95 % CI = 1.3-2.7) and witnessed intimate partner violence (aPR = 1.6, 95 % CI = 1.1-2.4) were more likely to use alcohol during pregnancy compared to pregnant persons who did not report experiencing these ACEs. CONCLUSIONS: Higher ACE exposure was associated with alcohol use during pregnancy. Steps can be taken to mitigate their potential harms. Clinical and community-level interventions can address ACEs, which might reduce alcohol use during pregnancy.

INTRODUCTION: As perinatal drug overdoses continue to rise, reliable approaches are needed to monitor overdose trends during pregnancy and postpartum. This analysis aimed to determine the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ICD-9/10-CM codes for drug overdose events among people in the MATernaL and Infant clinical NetworK (MAT-LINK) with medication for opioid use disorder (MOUD) during pregnancy. METHODS: People included in this analysis had electronic health record (EHR) documentation of MOUD and a known pregnancy outcome from January 1, 2014 through August 31, 2021. Data were analyzed during pregnancy through one year postpartum. CDC's drug overdose case definitions were used to categorize overdose based on ICD-9/10-CM codes. These codes were compared to abstracted EHR data of any drug overdose. Analyses were conducted between May 2023 and May 2024. RESULTS: Among 3,911 pregnancies with EHR-documented MOUD, the sensitivity of ICD-9/10-CM codes for capturing drug overdose during pregnancy was 32.7%, while specificity was 98.5%, PPV was 23.4%, and NPV was 99.0%. The sensitivity of ICD-9/10-CM codes for capturing drug overdose postpartum was 30.9%, while specificity was 98.4%, PPV was 25.9%, and NPV was 98.8%. CONCLUSIONS: The sensitivity and PPV of ICD-9/10-CM codes for capturing drug overdose compared to abstracted EHR data during the perinatal period was low in this cohort of people with MOUD during pregnancy, though the specificity and NPV were high. Incorporating other data from EHRs and outside the healthcare system might provide more comprehensive insights on nonfatal drug overdose in this population.

Reports have documented national and state-level increases in drug overdose–related emergency department visits, emergency medical services incidents, and deaths among racial and ethnic minority groups in the United States during 2020 amid the COVID-19 pandemic (1–3). In June 2021, the Nevada Department of Health and Human Services reported an increase in drug overdose deaths during 2020 among Hispanic or Latino (Hispanic) persons, who make up approximately one third of Nevada’s population (4). To better understand this increase, investigators analyzed 2019–2020 State Unintentional Drug Overdose Reporting System (SUDORS) data.* | | SUDORS is a CDC surveillance system containing detailed information on death scene investigations, toxicology, and other risk factors associated with fatal drug overdoses of unintentional or undetermined intent. Hispanic persons were identified through the SUDORS ethnicity variable, which considers persons with Mexican, Puerto Rican, Cuban, Central or South American, or other Spanish culture or origin as Hispanic, regardless of race. Chi-square pairwise comparisons with Bonferroni adjustment were used to assess differences between 2019 and 2020 in characteristics and circumstances for all overdose deaths and for those among Hispanic persons (5).