The Association of Concomitant Maternal Marijuana Use on Health Outcomes for Opioid Exposed Newborns in Massachusetts, 2003-2009

Performance of Phenotype Algorithms for the Identification of Opioid-Exposed Infants

OBJECTIVE

Observational studies examining outcomes among opioid-exposed infants are limited by phenotype algorithms that may under identify opioid-exposed infants without neonatal opioid withdrawal syndrome (NOWS). We developed and validated the performance of different phenotype algorithms to identify opioid-exposed infants using electronic health record data.

METHODS

We developed phenotype algorithms for the identification of opioid-exposed infants among a population of birthing person-infant dyads from an academic health care system (2010-2022). We derived phenotype algorithms from combinations of 6 unique indicators of in utero opioid exposure, including those from the infant record (NOWS or opioid-exposure diagnosis, positive toxicology) and birthing person record (opioid use disorder diagnosis, opioid drug exposure record, opioid listed on medication reconciliation, positive toxicology). We determined the positive predictive value (PPV) and 95% confidence interval for each phenotype algorithm using medical record review as the gold standard.

RESULTS

Among 41 047 dyads meeting exclusion criteria, we identified 1558 infants (3.80%) with evidence of at least 1 indicator for opioid exposure and 32 (0.08%) meeting all 6 indicators of the phenotype algorithm. Among the sample of dyads randomly selected for review (n = 600), the PPV for the phenotype requiring only a single indicator was 95.4% (confidence interval: 93.3-96.8) with varying PPVs for the other phenotype algorithms derived from a combination of infant and birthing person indicators (PPV range: 95.4-100.0).

CONCLUSIONS

Opioid-exposed infants can be accurately identified using electronic health record data. Our publicly available phenotype algorithms can be used to conduct research examining outcomes among opioid-exposed infants with and without NOWS.

Prenatal Exposure to Cannabis: Effects on Childhood Obesity and Cardiometabolic Health

PURPOSE OF REVIEW

To consolidate information on the obesogenic and cardiometabolic effects of prenatal exposure to cannabis.

RECENT FINDINGS

A PubMed search strategy updated from January 1, 2014, through 14 June 2023, produced a total of 47 epidemiologic studies and 12 animal studies. Prenatal exposure to cannabis is consistently associated with small for gestational age and low birth weight. After birth, these offspring gain weight rapidly and have increased adiposity and higher glucose (fat mass percentage) in childhood. More preclinical and prospective studies are needed to deepen our understanding of whether these associations vary by sex, dose, timing, and composition of cannabis (e.g., ratio of delta-Δ9-tetrahydrocannabinol [Δ9-THC] to cannabidiol [CBD]). Addressing these gaps may help to solidify causality and identify intervention strategies. Based on the available data, clinicians and public health officials should continue to caution against cannabis use during pregnancy to limit its potential obesogenic and adverse cardiometabolic effects on the offspring.

Impact of in utero opioid exposure on newborn outcomes: beyond neonatal opioid withdrawal syndrome

BACKGROUND AND OBJECTIVES

Research on in utero opioid exposure impacts has focused on Neonatal Opioid Withdrawal Syndrome (NOWS). However, possible impacts on fetal growth and newborn wellbeing have emerged, with inconsistencies likely driven by methodological issues. Our goal was to compare birth outcomes between newborns with prenatal opioid exposure and a matched control group.

METHODS

Participants were identified via manual review of electronic medical records of all deliveries over five years within a regional health system (6 delivery hospitals across 2 states). From over 18,000 births, 300 with prenatal opioid exposure and 300 control newborns matched on exposure, medical, and background factors were included. Additional factors were statistically controlled. Outcomes included pregnancy/delivery complications, newborn size, and newborn health complications.

RESULTS

Compared to biochemically verified controls, exposed newborns had higher rates of fetal growth restriction, weighed less, had decreased length and head circumference, and had higher rates of respiratory distress, sepsis, and jaundice. No significant differences in gestational length, Apgar scores, or neonatal hypoglycemia were found. Adjusted regression analyses revealed that compared to controls, those exposed had an average 150 g decrease in birth weight, a two-fold increased risk for IUGR (OR = 2.09), a nearly three-fold (OR = 2.80) increased risk for jaundice, a more than seven-fold (OR = 7.40) increased risk for respiratory distress, and a thirty-fold (OR = 30.47) increased risk for sepsis.

CONCLUSIONS

Results suggest significant pregnancy and newborn outcomes beyond NOWS following pregnancy opioid use, informing clinical screening and treatment decisions to enhance health and wellbeing in pregnancy, during the neonatal period, and beyond.

Birth Outcomes of Neonates Exposed to Marijuana in Utero: A Systematic Review and Meta-analysis

IMPORTANCE

While some studies have found an association between marijuana use and adverse neonatal outcomes, results have not been consistent across all trials.

OBJECTIVE

To assess available data on neonatal outcomes in marijuana-exposed pregnancies.

DATA SOURCES

PubMed, Medline, ClinicalTrials.gov, Cochrane, Scopus, and Web of Science were searched from each database's inception until August 16, 2021.

STUDY SELECTION

All interventional and observational studies that included pregnant women who were exposed to marijuana compared with pregnant women who were not exposed to marijuana and that reported neonatal outcomes were included.

DATA EXTRACTION AND SYNTHESIS

Reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guideline. Data were extracted by 2 authors for all outcomes, which were pooled using a random-effects model as mean difference or risk ratio (RR) and 95% CI. Data were analyzed from August through September 2021.

MAIN OUTCOMES AND MEASURES

All outcomes were formulated prior to data collection. Outcomes included incidence of birth weight less than 2500 g, small for gestational age (defined as less than the fifth percentile fetal weight for gestational age), rate of preterm delivery (defined as before 37 weeks' gestation), gestational age at time of delivery, birth weight, incidence of neonatal intensive care unit (NICU) admission, Apgar score at 1 minute, Apgar score at 5 minutes, incidence of an Apgar score less than 7 at 5 minutes, fetal head circumference, and fetal length.

RESULTS

Among 16 studies including 59 138 patients, there were significant increases in 7 adverse neonatal outcomes among women who were exposed to marijuana during pregnancy vs those who were not exposed during pregnancy. These included increased risk of birth weight less than 2500 g (RR, 2.06 [95% CI, 1.25 to 3.42]; P = .005), small for gestational age (RR, 1.61 [95% CI, 1.44 to 1.79]; P < .001), preterm delivery (RR, 1.28 [95% CI, 1.16 to 1.42]; P < .001), and NICU admission (RR, 1.38 [95% CI, 1.18 to 1.62]; P < .001), along with decreased mean birth weight (mean difference, -112.30 [95% CI, -167.19 to -57.41] g; P < .001), Apgar score at 1 minute (mean difference, -0.26 [95% CI, -0.43 to -0.09]; P = .002), and infant head circumference (mean difference, -0.34 [95% CI, -0.63 to -0.06] cm; P = .02).

CONCLUSIONS AND RELEVANCE

This study found that women exposed to marijuana in pregnancy were at a significantly increased risk of some adverse neonatal outcomes. These findings suggest that increasing awareness about these risks may be associated with improved outcomes.

Gut dysbiosis during early life: causes, health outcomes, and amelioration via dietary intervention

The colonization and maturation of gut microbiota (GM) is a delicate and precise process, which continues to influence not only infancy and childhood but also adulthood health by affecting immunity. However, many perinatal factors, including gestational age, delivery mode, antibiotic administration, feeding mode, and environmental and maternal factors, can disturb this well-designed process, increasing the morbidity of various gut dysbiosis-related diseases, such as type-1-diabetes, allergies, necrotizing enterocolitis, and obesity. In this review, we discussed the early-life colonization and maturation of the GM, factors influencing this process, and diseases related to the disruption of this process. Moreover, we focused on discussing dietary interventions, including probiotics, oligosaccharides, nutritional supplementation, and exclusive enteral nutrition, in ameliorating early-life dysbiosis and diseases related to it. Furthermore, possible mechanisms, and shortcomings, as well as potential solutions to the drawbacks of dietary interventions, were also discussed.