Risk of Adverse Neonatal Outcomes After Combined Prenatal Cannabis and Nicotine Exposure.

Importance: The prevalence of cannabis use in pregnancy is rising and is associated with adverse perinatal outcomes. In parallel, combined prenatal use of cannabis and nicotine is also increasing, but little is known about the combined impact of both substances on pregnancy and offspring outcomes compared with each substance alone. Objective: To assess the perinatal outcomes associated with combined cannabis and nicotine exposure compared with each substance alone during pregnancy. Design, Setting, and Participants: This retrospective population-based cohort study included linked hospital discharge data (obtained from the California Department of Health Care Access and Information) and vital statistics (obtained from the California Department of Public Health) from January 1, 2012, through December 31, 2019. Pregnant individuals with singleton gestations and gestational ages of 23 to 42 weeks were included. Data were analyzed from October 14, 2023, to March 4, 2024. Exposures: Cannabis-related diagnosis and prenatal nicotine product use were captured using codes from International Classification of Diseases, Ninth Revision, Clinical Modification, and International Statistical Classification of Diseases, Tenth Revision, Clinical Modification. Main Outcome and Measures: The main outcomes were infant and neonatal death, infants small for gestational age, and preterm delivery. Results were analyzed by multivariable Poisson regression models. Results: A total of 3 129 259 pregnant individuals were included (mean [SD] maternal age 29.3 [6.0] years), of whom 23 007 (0.7%) had a cannabis-related diagnosis, 56 811 (1.8%) had a nicotine-use diagnosis, and 10 312 (0.3%) had both in pregnancy. Compared with nonusers, those with cannabis or nicotine use diagnoses alone had increased rates of infant (0.7% for both) and neonatal (0.3% for both) death, small for gestational age (14.3% and 13.7%, respectively), and preterm delivery (<37 weeks) (12.2% and 12.0%, respectively). Moreover, risks in those with both cannabis and nicotine use were higher for infant death (1.2%; adjusted risk ratio [ARR], 2.18 [95% CI, 1.82-2.62]), neonatal death (0.6%; ARR, 1.76 [95% CI, 1.36-2.28]), small for gestational age (18.0%; ARR, 1.94 [95% CI, 1.86-2.02]), and preterm delivery (17.5%; ARR, 1.83 [95% CI, 1.75-1.91]). Conclusions and Relevance: These findings suggest that co-occurring maternal use of cannabis and nicotine products in pregnancy is associated with an increased risk of infant and neonatal death and maternal and neonatal morbidity compared with use of either substance alone. Given the increasing prevalence of combined cannabis and nicotine use in pregnancy, these findings can help guide health care practitioners with preconception and prenatal counseling, especially regarding the benefits of cessation.

Prenatal cannabis use disorder and gastroschisis in California, 2007-19.

BACKGROUND: Gastroschisis is a congenital anomaly of the abdominal wall with an unknown aetiology. Recent trends in the prevalence of gastroschisis suggest that changing environmental or behavioural factors may contribute. We examined whether prenatal cannabis use disorder was associated with gastroschisis. METHODS: The Study of Outcomes of Mothers and Infants is a population-based cohort compiled of California birth records that have been linked to Department of Health Care Access and Information hospitalization, emergency department and ambulatory surgery records. We included 2007-19 singleton live births (n = 5 774 656). Cannabis use disorder was measured by diagnosis codes at any visit during pregnancy or at birth. Gastroschisis was measured by diagnosis or surgical repair procedure codes at birth or during the first year of life. RESULTS: The prevalence of cannabis use disorder was about 1%. The prevalence of gastroschisis was 0.14% and 0.06% among those with and without cannabis use disorder, respectively. There were positive associations between cannabis use disorder and gastroschisis when using a multivariable model [adjusted risk ratio (aRR) = 1.3, 95% confidence interval (CI) 1.0, 1.7) and a matched sample approach (aRR = 1.5, 95% CI 1.1, 2.1). The association varied by maternal age and was largest among people aged >34 years (aRR = 2.5, 95% CI 1.0, 5.8). CONCLUSIONS: We confirm findings of a positive association between cannabis exposure and gastroschisis and add that it is strongest when maternal age is greater than 34 years. More investigation into whether the association is causal, and why the association varies by maternal age, is encouraged.

Machine learning approaches to the identification of children affected by prenatal alcohol exposure: A narrative review.

Fetal alcohol spectrum disorders (FASDs) affect at least 0.8% of the population globally. The diagnosis of FASD is uniquely complex, with a heterogeneous physical and neurobehavioral presentation that requires multidisciplinary expertise for diagnosis. Many researchers have begun to incorporate machine learning approaches into FASD research to identify children who are affected by prenatal alcohol exposure, including those with FASD. This narrative review highlights these efforts. Following an introduction to machine learning, we summarize examples from the literature of neurobehavioral screening tools and physiologic markers of exposure. We discuss individual efforts, including models that classify FASD based on parent-reported neurocognitive or behavioral questionnaires, 3D facial imaging, brain imaging, DNA methylation patterns, microRNA profiles, cardiac orienting response, and dysmorphic facial features. We highlight model performance and discuss the limitations of these approaches. We conclude by considering the scalability of these approaches and how these machine learning models, largely developed from clinical samples or highly exposed birth cohorts, may perform in the general population.

Racial and Ethnic Inequities in Therapeutic Hypothermia and Neonatal Hypoxic-Ischemic Encephalopathy: A Retrospective Cohort Study.

OBJECTIVE: To investigate racial inequities in the use of therapeutic hypothermia (TH) and outcomes in infants with hypoxic-ischemic encephalopathy (HIE). STUDY DESIGN: We queried an administrative birth cohort of mother-baby pairs in California from 2010 through 2019 using International Classification of Diseases codes to evaluate the association between race and ethnicity and the application of TH in infants with HIE. We identified 4779 infants with HIE. Log-linear regression was used to calculate risk ratios (RR) for TH, adjusting for hospital transfer, rural location, gestational age between 35 and 37 weeks, and HIE severity. Risk of adverse infant outcome was calculated by race and ethnicity and stratified by TH. RESULTS: From our identified cohort, 1338 (28.0%) neonates underwent TH. White infants were used as the reference sample, and 410 (28.4%) received TH. Black infants were significantly less likely to receive TH with 74 (20.0%) with an adjusted risk ratio (aRR) of 0.7 (95% CI 0.5-0.9). Black infants with any HIE who did not receive TH were more likely to have a hospital readmission (aRR 1.36, 95% CI 1.10-1.68) and a tracheostomy (aRR 3.07, 95% CI 1.19-7.97). Black infants with moderate/severe HIE who did not receive TH were more likely to have cerebral palsy (aRR 2.72, 95% CI 1.07-6.91). CONCLUSIONS: In this study cohort, Black infants with HIE were significantly less likely to receive TH. Black infants also had significantly increased risk of some adverse outcomes of HIE. Possible reasons for this inequity include systemic barriers to care and systemic bias.

Funding for Refugee Health Research From the National Institutes of Health Between 2000 and 2020.

Importance: The US has historically resettled more refugees than any other country, with over 3.5 million refugees since 1980. The National Institutes of Health (NIH) is the largest public funder of biomedical research and development, but its role in mitigating many health disparities refugees experience through its funded research remains unknown. Objective: To examine the NIH's research funding patterns on refugee health research over the last 2 decades. Design, Setting, and Participants: Secondary analysis of NIH-funded grants between 2000 and 2020 using a cross-sectional study design. The NIH Research Portfolio Online Reporting Tools database was used to find relevant grants. Data were analyzed from November 2021 to September 2022. Main Outcomes and Measures: NIH grants awarded by year, state, grant type, research area, funding institute, grant duration, and amount funded. Results: Of 1.7 million NIH grants funded over the 20-year study period, only 78 addressed refugee health. Funded grants were mostly training grants (23 grants [29%]), followed by hypothesis-driven research (R01 grants; 22 grants [28%]), pilot or preliminary investigation proposals (13 grants [17%]), and other types of grants (20 grants [26%]). The most studied research domain was mental health (36 grants [46%]), followed by refugee family dynamics and women's and children's health (14 grants [18%]). A total of 26 grants (33%) were funded by the National Institute of Mental Health and 15 (19%) were funded by the National Institute of Child Health and Human Development. Most grants were US-based (60 grants [76%]) and the state of Massachusetts received the greatest amount of funding ($14 825 852 [18%]). In 2020, the NIH allocated about $2.3 million to refugee health research, or less than 0.01% of its $42 billion budget that year. The number of grants funded in each time period did not always reflect changes in the number of refugees resettled in the US over the years. Conclusions and Relevance: This cross-sectional study found that there remain significant gaps in the understanding of and interventions in the health research needs of refugees locally and along the migratory route. To close these gaps, the NIH should increase its investments in comprehensive studies assessing the physical, mental, and social well-being of this expanding population. This can be achieved by ensuring that all NIH institutes allocate budgets specifically for refugee health research and extend support for the training of refugee researchers.

Childhood Aggressive Behavior and Adolescent Substance Use Initiation.

BACKGROUND: Drug and alcohol use before the age of 14 is associated with adverse outcomes over the life course. While previous studies have identified numerous sociodemographic characteristics associated with youth substance use initiation, few have examined the relationship between behavioral characteristics, such as childhood aggression, and substance use initiation in adolescence. METHODS: This longitudinal study consisted of 2985 children from the Future of Families and Child Wellbeing Study. Aggression was measured using primary caregiver report when the children were about the age of 9 and cigarette, alcohol, and marijuana use was measured using the child report when the children were age 9 and age 15. Separate multivariable Poisson regression models were fitted for each substance use initiation outcome. RESULTS: Childhood aggression was positively associated with the initiation of cigarette and marijuana use in adolescence (aRR = 2.3 [95% CI = 1.5,3.4] and aRR = 1.3 [95% CI = 1.1,1.6], respectively). Childhood aggression was not associated with adolescent alcohol use initiation (aRR = 1.2 [95% CI = 0.9,1.5]). CONCLUSIONS: The presence of aggressive behavior in childhood was associated with the initiation of cigarette and marijuana use in adolescence. These results may be used to identify children at higher risk of cigarette and marijuana use, who may benefit from additional monitoring for substance use initiation.

Predicting fetal alcohol spectrum disorders in preschool-aged children from early life factors.

BACKGROUND: Early life factors, including parental sociodemographic characteristics, pregnancy exposures, and physical and neurodevelopmental features measured in infancy are associated with fetal alcohol spectrum disorders (FASD). The objective of this study was to evaluate the performance of a classifier model for diagnosing FASD in preschool-aged children from pregnancy and infancy-related characteristics. METHODS: We analyzed a prospective pregnancy cohort in Western Ukraine enrolled between 2008 and 2014. Maternal and paternal sociodemographic factors, maternal prenatal alcohol use and smoking behaviors, reproductive characteristics, birth outcomes, infant alcohol-related dysmorphic and physical features, and infant neurodevelopmental outcomes were used to predict FASD. Data were split into separate training (80%: n = 245) and test (20%: n = 58; 11 FASD, 47 no FASD) datasets. Training data were balanced using data augmentation through a synthetic minority oversampling technique. Four classifier models (random forest, extreme gradient boosting [XGBoost], logistic regression [full model] and backward stepwise logistic regression) were evaluated for accuracy, sensitivity, and specificity in the hold-out sample. RESULTS: Of 306 children evaluated for FASD, 61 had a diagnosis. Random forest models had the highest sensitivity (0.54), with accuracy of 0.86 (95% CI: 0.74, 0.94) in hold-out data. Boosted gradient models performed similarly, however, sensitivity was less than 50%. The full logistic regression model performed poorly (sensitivity = 0.18 and accuracy = 0.65), while stepwise logistic regression performed similarly to the boosted gradient model but with lower specificity. In a hold-out sample, the best performing algorithm correctly classified six of 11 children with FASD, and 44 of 47 children without FASD. CONCLUSIONS: As early identification and treatment optimize outcomes of children with FASD, classifier models from early life characteristics show promise in predicting FASD. Models may be improved through the inclusion of physiologic markers of prenatal alcohol exposure and should be tested in different samples.

The association between depression and alcohol use among pregnant adults in the USA.

BACKGROUND: The prevalence of alcohol use among pregnant women aged 18-44 years old increased in recent years. The influence of mental health issues on an individual's likelihood to use alcohol during pregnancy has not been thoroughly investigated. This study will examine the association between experiencing a major depressive episode (MDE) in the past year and past-month alcohol use among pregnant women using the 2011-2020 National Survey on Drug Use and Health (NSDUH). METHODS: Pregnant women between the ages of 18 and 44 years old were included in the study for analysis. Multivariable logistic regression analysis was used to examine the association between past-year MDE and past-month alcohol use adjusting for age, race/ethnicity, marital status, and employment status. Additional logistic regression analysis was performed to investigate whether this relationship differed by trimester of pregnancy. RESULTS: A total of 6745 participants were included in the analytic sample. The prevalence of past-year MDE and past-month alcohol use was 7.67% and 9.15% respectively. Logistic regression analysis showed past-year MDE was significantly associated with past-month alcohol use in pregnant women adjusting for age, race/ethnicity, marital status, and employment status (aOR = 1.96; 95% CI, 1.34-2.87). This relationship became stronger in second and third trimesters of pregnancy. CONCLUSIONS: This study showed a positive association between MDE and past-month alcohol use among pregnant women, with strongest effect estimates in the third trimester. These findings may inform approaches for improved screening guidelines and health education for individuals who may be at higher risk of prenatal alcohol use.

Disparities in the impact of heat wave definitions on emergency department visits during the first year of life among preterm and full-term infants in California.

INTRODUCTION: Heat waves will be aggravated due to climate change, making this a critical public health threat. However, heat wave definitions to activate alert systems can be ambiguous, highlighting the need to assess a range of definitions to identify those that contribute to the most adverse health outcomes. Additionally, children are highly susceptible to the impacts of heat waves, especially infants, despite the lack of focus on this subpopulation. We aimed to assess the relationship between 30 heat wave definitions and the first all-cause emergency department (ED) visits for California infants. We also examined modification of this relationship by preterm birth status and demographic characteristics to identify possible health disparities. METHODS: Live-born, singleton deliveries from the Study of Outcomes in Mothers and Infants born in 2014-2018 were included. Thirty heat wave definitions were assessed based on temperature metrics (minimum/maximum temperatures), thresholds (90th; 92.5th; 95th; 97.5th; 99th percentiles), and duration (1-; 2-; 3-days). A time-stratified case-crossover design assessed heat wave impacts on ED visits using infants with a warm season ED visit (May-October) within the first year of life (n = 228,250). Effect modification by preterm birth status, age, sex, race/ethnicity, education, and delivery payment type was also investigated. RESULTS: Infants demonstrated increased risk of an ED visit with exposure to all heat definitions. The 3-day minimum temperature 99th percentile definition had the highest adjusted odds ratio (AOR: 1.14; 95% CI: 1.05-1.23) for the total population. Term infants were more affected by some heat waves than preterm infants. Effect modification was additionally identified, such as by maternal education. DISCUSSION: This study provides insight on the heat wave definitions that lead to adverse health outcomes and the identification of the most susceptible infants to these impacts, which has implications on heat-related interventions.

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.

Breastfeeding and neurodevelopment in infants with prenatal alcohol exposure.

BACKGROUND: Few studies have evaluated the differential benefits of breastfeeding on infant neurodevelopment at varying levels of prenatal alcohol exposure (PAE). This study examined whether the association between breastfeeding and neurodevelopment is modified by prenatal drinking pattern. METHODS: The study included 385 infants from Ukraine born to women prospectively enrolled in a cohort study during pregnancy. Neurodevelopment was assessed at six and 12 months using the Bayley Scales of Infant Development II (BSID-II) Mental Developmental Index (MDI) and Psychomotor Developmental Index (PDI). Linear regression modeling with interaction terms and stratification by PAE group was used to determine the relationship between breastfeeding, PAE, and neurodevelopment. RESULTS: A significant interaction between PAE and breastfeeding was observed for the MDI and PDI at six and 12 months. Infants with high PAE who were breastfed at least four months had BSID-II scores 14 or more points higher compared to those never breastfed. Counterintuitively, those with moderate PAE had poorer performance on the BSID-II at 12 months when breastfed longer. CONCLUSION: There was a significant joint effect of PAE and breastfeeding on infant neurodevelopment at six and 12 months. Breastfeeding may provide distinct benefits to infants exposed to high levels of PAE. IMPACT: We found a positive effect of breastfeeding on infant neurodevelopment among infants with prenatal alcohol exposure (PAE), particularly those exposed to higher levels during gestation. This study is one of the first to evaluate whether breastfeeding mitigates harm caused by PAE. Breastfeeding may provide distinct benefits to infants with higher levels of PAE.

Assessment of substance exposures in nail clipping samples: A systematic review.

BACKGROUND: Studies of prenatal substance exposure often rely on self-report, urine drug screens, and/or analyses of blood or meconium biomarkers. Accuracy of these measures is limited when assessing exposure over many weeks or months of gestation. Nails are increasingly being considered as a matrix from which to assess substance exposure. This systematic review synthesizes data on the validity of detecting alcohol, nicotine, cannabis, and opioid from nail clippings, with an emphasis on prenatal exposure assessment. METHODS: The systematic review was conducted using PRISMA 2020 guidelines. Seven databases were searched with keywords relevant to the four substances of interest. Results were summarized grouping manuscripts by the exposure of interest with focus on accuracy and feasibility. RESULTS: Of 2384 papers initially identified, 35 manuscripts were included in our qualitative synthesis. Only a few studies specifically looked at pregnant individuals or mother-child dyads. Across the four substances, many studies demonstrated a dose-response relationship between exposure and concentration of analytes in nails. Nail assays appear to detect lower level of exposure compared to hair; however, sample insufficiency, especially for multi-substance assays, remains a limitation. CONCLUSIONS: Based on the reviewed studies, nail clippings are an acceptable and potentially preferable matrix for the evaluation of these four prenatal substances when sampling frequency and/or study design necessitates assessment of past exposures over an extended period. Nails have the advantage of infrequent sampling and minimal invasiveness to assess a broad exposure period. Future studies should examine validity of analytes in toenail versus fingernail clippings.

Secondary physical features in children with FASD.

OBJECTIVE: The diagnoses included within the umbrella term fetal alcohol spectrum disorders (FASD), are based on the documentation of prenatal alcohol exposure (PAE), growth deficits and a pattern of dysmorphic physical features and neurobehavioral impairments. Although 3 key facial features (short palpebral fissures, a smooth philtrum and a thin vermilion of the upper lip) are the only dysmorphic features taken into account for the diagnosis of Fetal Alcohol Syndrome (FAS) or partial FAS (pFAS), several other features are commonly seen in individuals with these diagnoses. The goals of our study were to determine if some of these secondary physical features also occur more frequently in children with alcohol-related neurodevelopmental disorder (ARND) relative to controls, and if a cluster of these features combined in a dysmorphology score could be used to identify those negatively impacted by PAE but who do not have the cardinal physical features that led to a diagnosis of FAS or pFAS. METHODS: Among 2681 children recruited for the Collaboration on Fetal Alcohol Spectrum Disorders Prevalence (CoFASP) study, 1726 had an FASD or sufficient evidence of PAE having occurred or not in their pregnancy. Children were then categorized into groups using the modified Hoyme diagnostic criteria (FAS (n = 24), pFAS (n = 99) and ARND (n = 87), and No FASD (n = 1516), including those with No FASD and a history of PAE (No FASD/PAE, n = 498) and those with No FASD and no history of PAE (No FASD/No PAE, n = 1018). The frequencies of 26 secondary dysmorphic features were compared among these groups, both individually and combined in non-weighted and weighted dysmorphic scores. Correlations of the total dysmorphic scores with an index of overall cognitive ability were also compared by group status. RESULTS: Several of these features were significantly more frequent in children with FAS than in those with No FASD diagnosis with or without PAE but not in comparison to those with ARND. The number of features was also significantly higher in the FAS group as compared to all other groups for both weighted and unweighted dysmorphology scores but were not higher in the group with ARND when compared to the groups with No FASD either in the presence or absence of PAE. Although not diagnostic, higher total dysmorphology scores were predictive of lower general cognitive abilities in the group with ARND, suggesting severity of alcohol-related dysmorphology is predictive of severity of alcohol-related neurobehavioral impairment. CONCLUSION: Secondary physical features were not more frequent in children with ARND compared to children without an FASD diagnosis but were a marker for lower cognitive function. The use of secondary physical features to support a diagnosis of ARND was not supported in this sample.

Maternal Mental Health Diagnoses and Infant Emergency Department Use, Hospitalizations, and Death.

BACKGROUND: The period surrounding childbirth is a uniquely vulnerable time for women and their mental health. We sought to describe the association between maternal mental health diagnoses in the year prior and after birth and infant Emergency Department (ED) utilization, hospitalization, and death. METHODS: We studied mothers who gave singleton live birth in California (2011-2017) and their infants using linked infant birth and death certificates and maternal and infant discharge records. Maternal mental health diagnoses in the year before and after birth were identified using International Classification of Diseases (ICD) codes. We abstracted infant ED visits, hospitalizations, discharge diagnoses, deaths, and causes of death. Log-linear regression was used to compare relative risks of infant outcomes between mothers with and without mental health diagnoses, adjusting for maternal variables. RESULTS: Of the 3,067,069 mother-infant pairs, 85,047 (2.8%) mothers had at least one mental health diagnosis in the year before and after birth. Infants of mothers with mental health diagnoses were more likely to visit the ED (aRR 1.2, CI:1.1-1.2), have three or more ED visits (aRR 1.4, CI:1.3-1.4), be hospitalized (aRR 1.1, CI:1.04-1.1), and die (aRR 1.7, CI:1.6-1.8) in the first year of life. These infants were also more likely to be diagnosed with accidental injuries, nonaccidental trauma, and non-specific descriptive diagnosis (fussiness/fatigue/brief resolved unexplained event). CONCLUSION: This large administrative cohort study showed associations between maternal mental health diagnoses and infant acute ED visits, hospitalization, and death. This study underscores the urgent need to understand what is driving these findings and how to mitigate this risk.

Adverse live-born pregnancy outcomes among pregnant people with anorexia nervosa.

BACKGROUND: Previous findings related to the association of adverse pregnancy outcomes with anorexia nervosa are mixed. OBJECTIVE: This study aimed to investigate the association of adverse live-born pregnancy outcomes with anorexia nervosa using adjustment modeling accounting for confounding factors, and a mediation analysis addressing the contribution of underweight prepregnancy body mass index and gestational weight gain to those outcomes. STUDY DESIGN: The sample included California live-born singletons with births between 2007 and 2021. The administrative data set contained birth certificates linked to hospital discharge records. Anorexia nervosa diagnosis during pregnancy was obtained from International Classification of Diseases codes on hospital discharge records. Adverse pregnancy outcomes examined included gestational diabetes, gestational hypertension, preeclampsia, anemia, antepartum hemorrhage, premature rupture of membranes, premature labor, cesarean delivery, oligohydramnios, placenta previa, chorioamnionitis, placental abruption, severe maternal morbidity, small for gestational age, large for gestational age, low birthweight, and preterm birth (by timing and indication). Risk of each adverse outcome was calculated using Poisson regression models. Unadjusted risk of each adverse outcome was calculated, and then the risks were adjusted for demographic factors. The final adjusted model included demographic factors, anxiety, depression, substance use, and smoking. A mediation analysis was performed to estimate the excess risk of adverse outcomes mediated by underweight prepregnancy body mass index and gestational weight gain below the American College of Obstetricians and Gynecologists recommendation. RESULTS: The sample included 241 pregnant people with a diagnosis of anorexia nervosa and 6,418,236 pregnant people without an eating disorder diagnosis. An anorexia nervosa diagnosis during pregnancy was associated with many adverse pregnancy outcomes in unadjusted models (relative risks ranged from 1.65 [preeclampsia] to 3.56 [antepartum hemorrhage]) in comparison with people without an eating disorder diagnosis. In the final adjusted models, birthing people with an anorexia nervosa diagnosis were more likely to have anemia, preterm labor, oligohydramnios, severe maternal morbidity, a small for gestational age or low-birthweight infant, and preterm birth between 32 and 36 weeks with spontaneous preterm labor (adjusted relative risks ranged from 1.43 to 2.55). Underweight prepregnancy body mass index mediated 7.78% of the excess in preterm births and 18.00% of the excess in small for gestational age infants. Gestational weight gain below the recommendation mediated 38.89% of the excess in preterm births and 40.44% of the excess in low-birthweight infants. CONCLUSION: Anorexia nervosa diagnosis during pregnancy was associated with a number of clinically important adverse pregnancy outcomes in comparison with people without an eating disorder diagnosis. Adjusting for anxiety, depression, substance use, and smoking during pregnancy decreased this risk. A substantial percentage of the excess risk of adverse outcomes was mediated by an underweight prepregnancy body mass index, and an even larger proportion of excess risk was mediated by gestational weight gain below the recommendation. This information is important for clinicians to consider when caring for patients with anorexia nervosa. Considering and treating anorexia nervosa and comorbid conditions and counseling patients about mediating factors such as preconception weight and gestational weight gain may improve live-born pregnancy outcomes among people with anorexia nervosa.

Prenatal Exposure to Cannabis and Risk of Major Structural Birth Defects: A Systematic Review and Meta-analysis.

OBJECTIVE: To review and perform a meta-analysis of observational studies that examined associations between prenatal cannabis exposure and major structural birth defects. DATA SOURCES: Information sources included Google Scholar, BIOSIS, PubMed/MEDLINE, EMBASE CINAHL, and ClinicalTrials.gov. METHODS OF STUDY SELECTION: Study titles and abstracts were reviewed with Abstrackr software. We included observational studies that examined the risk of major structural birth defects in people who used cannabis during pregnancy compared with those who had not used cannabis. We excluded case reports, ecologic studies, conference abstracts, manuscript preprints, studies designed to examine effects of cannabis used concurrently with other drugs, and studies that included synthetic cannabinoids. This process yielded 23 studies that analyzed data from birth years 1968-2021. TABULATION, INTEGRATION, AND RESULTS: We clustered and meta-analyzed measures of association for birth defects by anatomic group. Eleven articles reported an association between cannabis use and the risk of a nonspecific outcome (eg, congenital anomaly). We estimated a pooled odds ratio of 1.33 (95% CI 1.14-1.56) and a pooled adjusted odds ratio (aOR) of 1.22 (95% CI 1.00-1.50). Anatomic groups examined were cardiac (nine studies), oral cleft (three studies), digestive (four studies), genitourinary (three studies), musculoskeletal (seven studies), and nervous system (five studies). Across most outcomes, we reported positive pooled unadjusted associations that were usually attenuated after the inclusion of only adjusted estimates. Two specific anomalies, with limited data, had pooled effect estimates that did not attenuate to the null after adjustment: Ebstein anomaly (two studies, aOR 2.19, 95% CI 1.25-3.82) and gastroschisis (five studies, aOR 2.50, 95% CI 1.09-5.740). CONCLUSION: Studies examining associations between prenatal exposure to cannabis and major structural birth defects were heterogeneous. Most published effect estimates were unadjusted and scored low on our risk-of-bias assessment. Overall, we found inconsistent evidence to suggest that prenatal cannabis exposure is associated with birth defects. However, findings related to specific anomalies should be considered in further research. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD42022319041.

Birth Defects Associated with Prenatal Alcohol Exposure-A Review.

Since the recognition of fetal alcohol syndrome, alcohol has been accepted as a human teratogen. However, little is known about the relation between prenatal alcohol exposure and the spectrum of associated major birth defects. The objective of this review was to summarize data on the association of major congenital abnormalities and prenatal alcohol exposure. We included all major birth defects according to ICD-10 classification. We found that the strongest evidence to date lies in the research examining herniation (gastroschisis and omphalocele), oral clefts (cleft lip with or without palate and cleft palate) and cardiac defects. There is less consistent evidence supporting the association between prenatal alcohol exposure and anomalies of gastrointestinal system, diaphragmatic hernia, genitourinary system and neural tube defects. We found no material support for PAE and choanal atresia, biliary atresia or clubfoot.

The most common medications dispensed to lactating persons: An electronic health record-based approach.

PURPOSE: Using a novel, electronic health record (EHR)-based approach, to estimate the prevalence of prescription medication use at 2, 4, and 6 months postpartum among lactating individuals. METHODS: We utilized automated EHR data from a US health system that records infant feeding information at well-child visits. We linked mothers who received prenatal care to their infants born May 2018-June 2019, and we required infants to have ≥1 well-child visit between 31 and 90 days of life (i.e., 2-month well-child visit with a ±1 month window). Mothers were classified as lactating at the 2-month well-child visit if their infant received breast milk at the 2-month well-child visit. For subsequent well-child visits at 4 and 6 months, mothers were considered lactating if their infant was still receiving breast milk. RESULTS: We identified 6013 mothers meeting inclusion criteria, and 4158 (69.2%) were classified as lactating at the 2-month well-child visit. Among those classified as lactating, the most common medication classes dispensed around the 2-month well-child visit were oral progestin contraceptives (19.1%), selective serotonin reuptake inhibitors (8.8%), first generation cephalosporins (4.3%), thyroid hormones (3.5%), nonsteroidal anti-inflammatory agents (3.4%), penicillinase-resistant penicillins (3.1%), topical corticosteroids (2.9%), and oral imidazole-related antifungals (2.0%). The most common medication classes were similar around the 4 and 6-month well-child visits although prevalence estimates were often lower. CONCLUSIONS: Progestin-only contraceptives, antidepressants, and antibiotics were the most dispensed medications among lactating mothers. With routine collection of breastfeeding information, mother-infant linked EHR data may overcome limitations in previous studies of medication utilization during lactation. These data should be considered for studies of medication safety during lactation given the need for human safety data.