Postpartum Opioid-Related Mortality in Patients With Public Insurance.

OBJECTIVE: To assess the incidence and risk factors for postpartum opioid overdose death and describe other causes of postpartum death in individuals with opioid use disorder (OUD). METHODS: We conducted a cohort study that used health care utilization data from the Medicaid Analytic eXtract linked to the National Death Index in the United States from 2006 to 2013. All pregnant individuals with live births or stillbirths and continuous enrollment for 3 months before delivery were eligible, including 4,972,061 deliveries. A subcohort of individuals with a documented history of OUD in the 3 months before delivery was identified. We estimated the cumulative incidence of death as occurring between delivery and 1 year postpartum among all individuals and individuals with OUD. Risk factors for opioid overdose death were assessed using odds ratios (ORs) and descriptive statistics, including demographics, health care utilization, obstetric conditions, comorbidities, and medications. RESULTS: The incidence of postpartum opioid overdose death per 100,000 deliveries was 5.4 (95% CI 4.5-6.4) among all individuals and 118 (95% CI 84-163) among individuals with OUD. Individuals with OUD had a sixfold higher incidence of all-cause postpartum death than all individuals. Common causes of death in individuals with OUD were other drug- and alcohol-related deaths (47/100,000), suicide (26/100,000), and other injuries, including accidents and falls (33/100,000). Risk factors strongly associated with postpartum opioid overdose death included mental health and other substance use disorders. Among patients with OUD, postpartum use of medication to treat OUD was associated with 60% lower odds of opioid overdose death (OR 0.4, 95% CI 0.1-0.9). CONCLUSION: Postpartum individuals with OUD have a high incidence of postpartum opioid overdose death and other preventable deaths, including nonopioid substance-related injuries, accidents, and suicide. Use of medications for OUD is strongly associated with lower opioid-related mortality.

Data-driven longitudinal characterization of neonatal health and morbidity.

Although prematurity is the single largest cause of death in children under 5 years of age, the current definition of prematurity, based on gestational age, lacks the precision needed for guiding care decisions. Here, we propose a longitudinal risk assessment for adverse neonatal outcomes in newborns based on a deep learning model that uses electronic health records (EHRs) to predict a wide range of outcomes over a period starting shortly before conception and ending months after birth. By linking the EHRs of the Lucile Packard Children's Hospital and the Stanford Healthcare Adult Hospital, we developed a cohort of 22,104 mother-newborn dyads delivered between 2014 and 2018. Maternal and newborn EHRs were extracted and used to train a multi-input multitask deep learning model, featuring a long short-term memory neural network, to predict 24 different neonatal outcomes. An additional cohort of 10,250 mother-newborn dyads delivered at the same Stanford Hospitals from 2019 to September 2020 was used to validate the model. Areas under the receiver operating characteristic curve at delivery exceeded 0.9 for 10 of the 24 neonatal outcomes considered and were between 0.8 and 0.9 for 7 additional outcomes. Moreover, comprehensive association analysis identified multiple known associations between various maternal and neonatal features and specific neonatal outcomes. This study used linked EHRs from more than 30,000 mother-newborn dyads and would serve as a resource for the investigation and prediction of neonatal outcomes. An interactive website is available for independent investigators to leverage this unique dataset: https://maternal-child-health-associations.shinyapps.io/shiny_app/.

Emulating a Target Trial of Interventions Initiated During Pregnancy with Healthcare Databases: The Example of COVID-19 Vaccination.

BACKGROUND: Observational studies are often the only option to estimate effects of interventions during pregnancy. Causal inference from observational data can be conceptualized as an attempt to emulate a hypothetical pragmatic randomized trial: the target trial. OBJECTIVE: To provide a step-by-step description of how to use healthcare databases to estimate the effects of interventions initiated during pregnancy. As an example, we describe how to specify and emulate a target trial of COVID-19 vaccination during pregnancy, but the framework can be generally applied to point and sustained strategies involving both pharmacologic and non-pharmacologic interventions. METHODS: First, we specify the protocol of a target trial to evaluate the safety and effectiveness of vaccination during pregnancy. Second, we describe how to use observational data to emulate each component of the protocol of the target trial. We propose different target trials for different gestational periods because the outcomes of interest vary by gestational age at exposure. We identify challenges that affect (i) the target trial and thus its observational emulation (censoring and competing events), and (ii) mostly the observational emulation (confounding, immortal time, and measurement biases). CONCLUSION: Some biases may be unavoidable in observational emulations, but others are avoidable. For instance, immortal time bias can be avoided by aligning the start of follow-up with the gestational age at the time of the intervention, as we would do in the target trial. Explicitly emulating target trials at different gestational ages can help reduce bias and improve the interpretability of effect estimates for interventions during pregnancy.

Atomoxetine in Early Pregnancy and the Prevalence of Major Congenital Malformations: A Multinational Study.

Objective: Most research on safety of attention-deficit/hyperactivity disorder (ADHD) medications during pregnancy concerns central nervous system stimulants, while little is known about the safety of atomoxetine, a primary treatment alternative. We assessed the prevalence of major congenital malformations overall, and cardiac malformations and limb malformations specifically, after first-trimester exposure.Methods: In this cohort study, we included all approximately 2.4 million pregnancies ending in live births recorded in the population-based nationwide health registers of Denmark, Iceland, Norway, and Sweden (2003-2017) and approximately 1.8 million publicly insured pregnancies ending in live births recorded in the US Medicaid Analytic eXtract (MAX, 2001-2013) health care claims database. We compared the prevalence of major congenital malformations in the newborn among pregnancies exposed and unexposed to atomoxetine. For each country, we calculated prevalence ratios (PRs), crude and stratified by propensity scores (PSs). We pooled the country-specific PS strata to obtain a PR adjusted for potential confounding factors.Results: We identified 368 pregnancies exposed to atomoxetine during the first trimester in the 4 Nordic countries and 622 in the US. The pooled crude PR for any major congenital malformation was 1.18 (95% CI, 0.88-1.60), and the adjusted PR was 0.99 (95% CI, 0.74-1.34). For cardiac malformations, the adjusted PR was 1.34 (95% CI, 0.86-2.09). For limb malformations, the adjusted PR was 0.90 (95% CI, 0.38-2.16).Conclusions: After atomoxetine exposure in early pregnancy, we observed no increase in major congenital malformations overall and, although with some uncertainty due to sample size, no statistically increased risk estimates for cardiac malformations and limb malformations.

Nonopioid Analgesic Prescriptions Filled after Surgery among Older Adults in Ontario, Canada: A Population-based Cohort Study.

BACKGROUND: The objective was to assess changes over time in prescriptions filled for nonopioid analgesics for older postoperative patients in the immediate postdischarge period. The authors hypothesized that the number of patients who filled a nonopioid analgesic prescription increased during the study period. METHODS: The authors performed a population-based cohort study using linked health administrative data of 278,366 admissions aged 66 yr or older undergoing surgery between fiscal year 2013 and 2019 in Ontario, Canada. The primary outcome was the percentage of patients with new filled prescriptions for nonopioid analgesics within 7 days of discharge, and the secondary outcome was the analgesic class. The authors assessed whether patients filled prescriptions for a nonopioid only, an opioid only, both opioid and nonopioid prescriptions, or a combination opioid/nonopioid. RESULTS: Overall, 22% (n = 60,181) of patients filled no opioid prescription, 2% (n = 5,534) filled a nonopioid only, 21% (n = 59,608) filled an opioid only, and 55% (n = 153,043) filled some combination of opioid and nonopioid. The percentage of patients who filled a nonopioid prescription within 7 days postoperatively increased from 9% (n = 2,119) in 2013 to 28% (n = 13,090) in 2019, with the greatest increase for acetaminophen: 3% (n = 701) to 20% (n = 9,559). The percentage of patients who filled a combination analgesic prescription decreased from 53% (n = 12,939) in 2013 to 28% (n = 13,453) in 2019. However, the percentage who filled both an opioid and nonopioid prescription increased: 4% (n = 938) to 21% (n = 9,880) so that the overall percentage of patients who received both an opioid and a nonopioid remained constant over time 76% (n = 18,642) in 2013 to 75% (n = 35,391) in 2019. CONCLUSIONS: The proportion of postoperative patients who fill prescriptions for nonopioid analgesics has increased. However, rather than a move to use of nonopioids alone for analgesia, this represents a shift away from combination medications toward separate prescriptions for opioids and nonopioids.

Association of In Utero Antipsychotic Medication Exposure With Risk of Congenital Malformations in Nordic Countries and the US.

Importance: Psychiatric disorders are common among female individuals of reproductive age. While antipsychotic medication use is increasing, the safety of such medications in pregnancy is an area with large evidence gaps. Objective: To evaluate the risk of first-trimester antipsychotic exposure with respect to congenital malformations, focusing on individual drugs and specific malformation subtypes. Design, Setting, and Participants: This cohort study used data from nationwide health registers from the 5 Nordic countries and the US and spanned 1996 to 2018. The Nordic cohort included all pregnancies resulting in singleton live-born infants, and the US cohort consisted of publicly insured mothers linked to their live-born infants nested in the nationwide Medicaid Analytic eXtract. Data were analyzed from November 2020 to April 2022. Exposures: One or more first-trimester dispensing of any atypical, any typical, and individual antipsychotic drugs. Main Outcomes and Measures: Any major congenital malformation and specific malformation subtypes previously suggested to be associated with antipsychotic exposure in utero: cardiovascular malformations, oral clefts, neural tube defects, hip dysplasia, limb reduction defects, anorectal atresia/stenosis, gastroschisis, hydrocephalus, other specific brain anomalies, and esophageal disorders. Propensity score stratification was used to control for potential confounders. Pooled adjusted estimates were calculated using indirect standardization. Results: A total of 6 455 324 unexposed mothers (mean maternal age range across countries: 24-31 years), 21 751 mothers exposed to atypical antipsychotic drugs (mean age range, 26-31 years), and 6371 mothers exposed to typical antipsychotic drugs (mean age range, 27-32 years) were included in the study cohort. Prevalence of any major malformation was 2.7% (95% CI, 2.7%-2.8%) in unexposed infants, 4.3% (95% CI, 4.1%-4.6%) in infants with atypical antipsychotic drug exposure, and 3.1% (95% CI, 2.7%-3.5%) in infants with typical antipsychotic drug exposure in utero. Among the most prevalent exposure-outcome combinations, adjusted relative risks (aRR) were generally close to the null. One exception was olanzapine exposure and oral cleft (aRR, 2.1 [95% CI, 1.1-4.3]); however, estimates varied across sensitivity analyses. Among moderately prevalent combinations, increased risks were observed for gastroschisis and other specific brain anomalies after atypical antipsychotic exposure (aRR, 1.5 [95% CI, 0.8-2.6] and 1.9 [95% CI, 1.1-3.0]) and for cardiac malformations after chlorprothixene exposure (aRR, 1.6 [95% CI, 1.0-2.7]). While the association direction was consistent across sensitivity analyses, confidence intervals were wide, prohibiting firm conclusions. Conclusions and Relevance: In this study, considering the evidence from primary and sensitivity analyses and inevitable statistical noise for very rare exposure-outcome combinations, in utero antipsychotic exposure generally was not meaningfully associated with an increased risk of malformations. The observed increased risks of oral clefts associated with olanzapine, gastroschisis, and other specific brain anomalies with atypical antipsychotics and cardiac malformations with chlorprothixene requires confirmation as evidence continues to accumulate.

Development and Validation of Algorithms to Estimate Live Birth Gestational Age in Medicaid Analytic eXtract Data.

BACKGROUND: While healthcare utilization data are useful for postmarketing surveillance of drug safety in pregnancy, the start of pregnancy and gestational age at birth are often incompletely recorded or missing. Our objective was to develop and validate a claims-based live birth gestational age algorithm. METHODS: Using the Medicaid Analytic eXtract (MAX) linked to birth certificates in three states, we developed four candidate algorithms based on: preterm codes; preterm or postterm codes; timing of prenatal care; and prediction models - using conventional regression and machine-learning approaches with a broad range of prespecified and empirically selected predictors. We assessed algorithm performance based on mean squared error (MSE) and proportion of pregnancies with estimated gestational age within 1 and 2 weeks of the gold standard, defined as the clinical or obstetric estimate of gestation on the birth certificate. We validated the best-performing algorithms against medical records in a nationwide sample. We quantified misclassification of select drug exposure scenarios due to estimated gestational age as positive predictive value (PPV), sensitivity, and specificity. RESULTS: Among 114,117 eligible pregnancies, the random forest model with all predictors emerged as the best performing algorithm: MSE 1.5; 84.8% within 1 week and 96.3% within 2 weeks, with similar performance in the nationwide validation cohort. For all exposure scenarios, PPVs were >93.8%, sensitivities >94.3%, and specificities >99.4%. CONCLUSIONS: We developed a highly accurate algorithm for estimating gestational age among live births in the nationwide MAX data, further supporting the value of these data for drug safety surveillance in pregnancy. See video abstract at, http://links.lww.com/EDE/B989 .

Buprenorphine versus Methadone for Opioid Use Disorder in Pregnancy.

BACKGROUND: Opioid agonist therapy is strongly recommended for pregnant persons with opioid use disorder. Buprenorphine may be associated with more favorable neonatal and maternal outcomes than methadone, but existing data are limited. METHODS: We conducted a cohort study involving pregnant persons who were enrolled in public insurance programs in the United States during the period from 2000 through 2018 in which we examined outcomes among those who received buprenorphine as compared with those who received methadone. Exposure to the two medications was assessed in early pregnancy (through gestational week 19), late pregnancy (gestational week 20 through the day before delivery), and the 30 days before delivery. Risk ratios for neonatal and maternal outcomes were adjusted for confounders with the use of propensity-score overlap weights. RESULTS: The data source for the study consisted of 2,548,372 pregnancies that ended in live births. In early pregnancy, 10,704 pregnant persons were exposed to buprenorphine and 4387 to methadone. In late pregnancy, 11,272 were exposed to buprenorphine and 5056 to methadone (9976 and 4597, respectively, in the 30 days before delivery). Neonatal abstinence syndrome occurred in 52.0% of the infants who were exposed to buprenorphine in the 30 days before delivery as compared with 69.2% of those exposed to methadone (adjusted relative risk, 0.73; 95% confidence interval [CI], 0.71 to 0.75). Preterm birth occurred in 14.4% of infants exposed to buprenorphine in early pregnancy and in 24.9% of those exposed to methadone (adjusted relative risk, 0.58; 95% CI, 0.53 to 0.62); small size for gestational age in 12.1% and 15.3%, respectively (adjusted relative risk, 0.72; 95% CI, 0.66 to 0.80); and low birth weight in 8.3% and 14.9% (adjusted relative risk, 0.56; 95% CI, 0.50 to 0.63). Delivery by cesarean section occurred in 33.6% of pregnant persons exposed to buprenorphine in early pregnancy and 33.1% of those exposed to methadone (adjusted relative risk, 1.02; 95% CI, 0.97 to 1.08), and severe maternal complications developed in 3.3% and 3.5%, respectively (adjusted relative risk, 0.91; 95% CI, 0.74 to 1.13). Results of exposure in late pregnancy were consistent with results of exposure in early pregnancy. CONCLUSIONS: The use of buprenorphine in pregnancy was associated with a lower risk of adverse neonatal outcomes than methadone use; however, the risk of adverse maternal outcomes was similar among persons who received buprenorphine and those who received methadone. (Funded by the National Institute on Drug Abuse.).

Validation of claims-based algorithms to identify non-live birth outcomes.

PURPOSE: Perinatal epidemiology studies using healthcare utilization databases are often restricted to live births, largely due to the lack of established algorithms to identify non-live births. The study objective was to develop and validate claims-based algorithms for the ascertainment of non-live births. METHODS: Using the Mass General Brigham Research Patient Data Registry 2000-2014, we assembled a cohort of women enrolled in Medicaid with a non-live birth. Based on ≥1 inpatient or ≥2 outpatient diagnosis/procedure codes, we identified and randomly sampled 100 potential stillbirth, spontaneous abortion, and termination cases each. For the secondary definitions, we excluded cases with codes for other pregnancy outcomes within ±5 days of the outcome of interest and relaxed the definitions for spontaneous abortion and termination by allowing cases with one outpatient diagnosis only. Cases were adjudicated based on medical chart review. We estimated the positive predictive value (PPV) for each outcome. RESULTS: The PPV was 71.0% (95% CI, 61.1-79.6) for stillbirth; 79.0% (69.7-86.5) for spontaneous abortion, and 93.0% (86.1-97.1) for termination. When excluding cases with adjacent codes for other pregnancy outcomes and further relaxing the definition, the PPV increased to 80.6% (69.5-88.9) for stillbirth, 86.6% (80.5-91.3) for spontaneous abortion and 94.9% (91.1-97.4) for termination. The PPV for the composite outcome using the relaxed definition was 94.4% (92.3-96.1). CONCLUSIONS: Our findings suggest non-live birth outcomes can be identified in a valid manner in epidemiological studies based on healthcare utilization databases.

Association of Antidepressant Use During Pregnancy With Risk of Neurodevelopmental Disorders in Children.

Importance: Antidepressant use during pregnancy has been associated with neurodevelopmental disorders in children in some studies. However, results may be explained by uncontrolled confounding by parental mental health status, genetics, and environmental factors. Objective: To evaluate the association between antidepressant use in pregnancy and neurodevelopmental outcomes in children. Design, Setting, and Participants: This cohort study of health care utilization data was separated into cohorts of publicly and privately insured pregnant individuals and their children nested in the Medicaid Analytic eXtract (MAX; 2000-2014) and the IBM MarketScan Research Database (MarketScan; 2003-2015). A total of 1.93 million pregnancies in MAX and 1.25 million pregnancies in MarketScan were recorded. Children were followed from birth until outcome diagnosis, disenrollment, death, or end of study (maximum 14 years). Analyses were conducted between August 2020 and July 2021. Exposures: Dispensing of antidepressant medication from gestational week 19 until delivery, the period of synaptogenesis. Main Outcomes and Measures: Neurodevelopmental disorders in children defined using validated algorithms. Early pregnancy exposure was considered in sensitivity analyses, and approaches to confounding adjustment included propensity score fine stratification, discontinuers comparison, and sibling analyses. Results: Among the individuals included in the analysis, there were 145 702 antidepressant-exposed and 3 032 745 unexposed pregnancies; the mean (SD) age among the antidepressant exposed and unexposed was 26.2 (5.7) and 24.3 (5.8) years in MAX and 32.7 (4.6) and 31.9 (4.6) years in MarketScan, respectively; and in MAX, which collected information on race and ethnicity, 72.4% of the antidepressant-exposed and 37.1% of the unexposed individuals were White. Crude results suggested up to a doubling in risk of neurodevelopmental outcomes associated with antidepressant exposure; however, no association was observed in the most fully adjusted analyses. When comparing antidepressant-exposed and unexposed siblings, hazard ratios were 0.97 (95% CI, 0.88-1.06) for any neurodevelopmental disorder, 0.86 (95% CI, 0.60-1.23) for autism spectrum disorder, 0.94 (95% CI, 0.81-1.08) for attention-deficit/hyperactivity disorder, 0.77 (95% CI, 0.42-1.39) for specific learning disorders, 1.01 (95% CI, 0.88-1.16) for developmental speech/language disorder, 0.79 (95% CI, 0.54-1.17) for developmental coordination disorder, 1.00 (95% CI, 0.45-2.22) for intellectual disability, and 0.95 (95% CI, 0.80-1.12) for behavioral disorders. Results were generally consistent for antidepressant classes and drugs and across exposure windows. Conclusions and Relevance: The results of this cohort study suggest that antidepressant use in pregnancy itself does not increase the risk of neurodevelopmental disorders in children. However, given strong crude associations, antidepressant exposure in pregnancy may be an important marker for the need of early screening and intervention.

Perioperative Gabapentin Use and In-Hospital Adverse Clinical Events Among Older Adults After Major Surgery.

Importance: Gabapentin has been increasingly used as part of a multimodal analgesia regimen to reduce opioid use in perioperative pain management. However, the safety of perioperative gabapentin use among older patients remains uncertain. Objective: To examine in-hospital adverse clinical events associated with perioperative gabapentin use among older patients undergoing major surgery. Design, Setting, and Participants: This retrospective cohort study using data from the Premier Healthcare Database included patients aged 65 years or older who underwent major surgery at US hospitals within 7 days of hospital admission from January 1, 2009, to March 31, 2018, and did not use gabapentin before surgery. Data were analyzed from June 14, 2021, to May 23, 2022. Exposures: Gabapentin use within 2 days after surgery. Main Outcomes and Measures: The primary outcome was delirium, identified using diagnosis codes, and secondary outcomes were new antipsychotic use, pneumonia, and in-hospital death between postoperative day 3 and hospital discharge. To reduce confounding, 1:1 propensity score matching was performed. Risk ratios (RRs) and risk differences (RDs) with 95% CIs were estimated. Results: Among 967 547 patients before propensity score matching (mean [SD] age, 76.2 [7.4] years; 59.6% female), the rate of perioperative gabapentin use was 12.3% (119 087 patients). After propensity score matching, 237 872 (118 936 pairs) gabapentin users and nonusers (mean [SD] age, 74.5 [6.7] years; 62.7% female) were identified. Compared with nonusers, gabapentin users had increased risk of delirium (4040 [3.4%] vs 3148 [2.6%]; RR, 1.28 [95% CI, 1.23-1.34]; RD, 0.75 [95% CI, 0.75 [0.61-0.89] per 100 persons), new antipsychotic use (944 [0.8%] vs 805 [0.7%]; RR, 1.17 [95% CI, 1.07-1.29]; RD, 0.12 [95% CI, 0.05-0.19] per 100 persons), and pneumonia (1521 [1.3%] vs 1368 [1.2%]; RR, 1.11 [95% CI, 1.03-1.20]; RD, 0.13 [95% CI, 0.04-0.22] per 100 persons), but there was no difference in in-hospital death (362 [0.3%] vs 354 [0.2%]; RR, 1.02 [95% CI, 0.88-1.18]; RD, 0.00 [95% CI, -0.04 to 0.05] per 100 persons). Risk of delirium among gabapentin users was greater in subgroups with high comorbidity burden than in those with low comorbidity burden (combined comorbidity index <4 vs ≥4: RR, 1.20 [95% CI, 1.13-1.27] vs 1.40 [95% CI, 1.30-1.51]; RD, 0.41 [95% CI, 0.28-0.53] vs 2.66 [95% CI, 2.08-3.24] per 100 persons) and chronic kidney disease (absence vs presence: RR, 1.26 [95% CI, 1.19-1.33] vs 1.38 [95% CI, 1.27-1.49]; RD, 0.56 [95% CI, 0.42-0.69] vs 1.97 [95% CI, 1.49-2.46] per 100 persons). Conclusion and Relevance: In this cohort study, perioperative gabapentin use was associated with increased risk of delirium, new antipsychotic use, and pneumonia among older patients after major surgery. These results suggest careful risk-benefit assessment before prescribing gabapentin for perioperative pain management.

A Systematic Scoping Review of Peridelivery Pain Management for Pregnant People With Opioid Use Disorder: From the Society for Obstetric Anesthesia and Perinatology and Society for Maternal Fetal Medicine.

The prevalence of pregnant people with opioid use disorder (OUD), including those receiving medications for opioid use disorder (MOUD), is increasing. Challenges associated with pain management in people with OUD include tolerance, opioid-induced hyperalgesia, and risk for return to use. Yet, there are few evidence-based recommendations for pain management in the setting of pregnancy and the postpartum period, and many peripartum pain management studies exclude people with OUD. This scoping review summarized the available literature on peridelivery pain management in people with OUD, methodologies used, and identified specific areas of knowledge gaps. PubMed and Embase were comprehensively searched for publications in all languages on peripartum pain management among people with OUD, both treated with MOUD and untreated. Potential articles were screened by title, abstract, and full text. Data abstracted were descriptively analyzed to map available evidence and identify areas of limited or no evidence. A total of 994 publications were imported for screening on title, abstracts, and full text, yielding 84 publications identified for full review: 32 (38.1%) review articles, 14 (16.7%) retrospective studies, and 8 (9.5%) case reports. There were 5 randomized controlled trials. Most studies (64%) were published in perinatology (32; 38.1%) journals or anesthesiology (22; 26.2%) journals. Specific areas lacking trial or systematic review evidence include: (1) methods to optimize psychological and psychosocial comorbidities relevant to acute pain management around delivery; (2) alternative nonopioid and nonpharmacologic analgesia methods; (3) whether or not to use opioids for severe breakthrough pain and how best to prescribe and monitor its use after discharge; (4) monitoring for respiratory depression and sedation with coadministration of other analgesics; (5) optimal neuraxial analgesia dosing and adjuncts; and (6) benefits of abdominal wall blocks after cesarean delivery. No publications discussed naloxone coprescribing in the labor and delivery setting. We observed an increasing number of publications on peripartum pain management in pregnant people with OUD. However, existing published works are low on the pyramid of evidence (reviews, opinions, and retrospective studies), with a paucity of original research articles (<6%). Opinions are conflicting on the utility and disutility of various analgesic interventions. Studies generating high-quality evidence on this topic are needed to inform care for pregnant people with OUD. Specific research areas are identified, including utility and disutility of short-term opioid use for postpartum pain management, role of continuous wound infiltration and truncal nerve blocks, nonpharmacologic analgesia options, and the best methods to support psychosocial aspects of pain management.

Characteristics of Prescription Opioid Analgesics in Pregnancy and Risk of Neonatal Opioid Withdrawal Syndrome in Newborns.

Importance: Prescription opioids are often used during pregnancy even though they are associated with neonatal opioid withdrawal syndrome (NOWS). Most studies of adverse outcomes of opioid use for pain have assessed only the class-wide outcome despite the pharmacodynamic and pharmacokinetic heterogeneity across opioid medications. Objective: To compare the risk of NOWS across common types of opioids when prescribed as monotherapy during the last 3 months of pregnancy. Design, Setting, and Participants: This cohort study analyzed administrative claims data of Medicaid-insured mothers and newborns in 46 states and Washington DC from January 1, 2000, through December 31, 2014. Participants were mothers with 2 or more dispensed opioid prescriptions within 90 days before delivery and their eligible live-born neonates. Data were analyzed from February 2020 to March 2021. Exposure: Different types of opioid medications were compared by agonist strength (strong vs weak) and half-life (medium vs short and long vs short) of the opioid active ingredient. Main Outcomes and Measures: The primary outcome was NOWS, which was identified using an International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic code in the 30 days after delivery. Relative risks (RRs) were adjusted for an exposure propensity score, including demographic characteristics, comorbidities, other medication use, and opioid treatment characteristics (including morphine milligram equivalents), using fine stratification. Results: The cohort comprised 48 202 opioid-exposed pregnancies with live newborns. A total of 1069 neonates (2.2%) had NOWS and 559 (1.2%) had severe NOWS. Opioid exposure during pregnancy included 16 202 pregnancies exposed to codeine, 4540 to oxycodone, 1244 to tramadol, 260 to methadone (dispensed for pain), 90 to hydromorphone, and 63 to morphine compared with 25 710 exposed to hydrocodone. Demographic characteristics varied across opioids, with tramadol, oxycodone, methadone, hydromorphone, and morphine being more commonly dispensed at older maternal age (≥35 years). Compared with hydrocodone, codeine had a lower adjusted RR of NOWS (0.57; 95% CI, 0.46-0.70), with a similar adjusted RR for tramadol (RR, 1.06; 95% CI, 0.73-1.56), and 2- to 3-fold higher adjusted RRs for oxycodone (1.87; 95% CI, 1.66-2.11), morphine (2.84; 95% CI, 1.30-6.22), methadone (3.02; 95% CI, 2.45-3.73), and hydromorphone (2.03; 95% CI, 1.09-3.78). Strong agonists were associated with a higher risk of NOWS than weak agonists (RR, 1.97; 95% CI, 1.78-2.17), and long half-life opioids were associated with an increased risk compared with short half-life products (RR, 1.33; 95% CI, 1.12-1.56). Findings were consistent across sensitivity and subgroup analyses. Conclusions and Relevance: Results of this study show higher risk of NOWS and severe NOWS among neonates with in utero exposure to strong agonists and long half-life prescription opioids. Information on the opioid-specific risk of NOWS may help prescribers select opioids for pain management in late stages of pregnancy.

Tranexamic acid administered during cesarean delivery in high-risk patients: maternal pharmacokinetics, pharmacodynamics, and coagulation status.

BACKGROUND: Tranexamic acid is frequently administered for postpartum hemorrhage. The World Health Organization recommends 1 g intravenous dosing, repeated once after 30 minutes for ongoing bleeding. Understanding the pharmacokinetics and pharmacodynamics of tranexamic acid in patients at high risk of postpartum hemorrhage may enable dosage tailoring for optimal antifibrinolysis with minimal adverse events, such as thrombosis or renal cortical necrosis. OBJECTIVE: This study aimed to report tranexamic acid pharmacokinetics and pharmacodynamics after 1 g intravenous dosing during cesarean delivery in patients at risk of hemorrhage. The primary endpoint was tranexamic acid plasma concentration of >10 µg/mL, known to inhibit 80% of fibrinolysis. In addition, the correlation between patient demographics and rotational thromboelastometry coagulation changes were analyzed. STUDY DESIGN: In this prospective study, 20 women aged 18 to 50 years, ≥23 weeks of gestation undergoing cesarean delivery with at least 1 major (placenta previa, suspected placenta accreta spectrum, or active bleeding) or 2 minor (≥2 previous cesarean deliveries, previous postpartum hemorrhage, chorioamnionitis, polyhydramnios, macrosomia, obesity, or suspected placental abruption) risk factors for postpartum hemorrhage were recruited. The exclusion criteria were allergy to tranexamic acid, inherited thrombophilia, previous or current thrombosis, seizure history, renal or liver dysfunction, anticoagulation, or category III fetal heart tracing. Tranexamic acid 1 g was administered after umbilical cord clamping. Blood samples were drawn at 3, 7, 15, and 30 minutes and then at 30-minute intervals up to 5 hours. Plasma concentrations were evaluated as mean (standard error). Serial rotational thromboelastometry was performed and correlated with tranexamic acid plasma concentrations. RESULTS: The median age of participants was 37.5 years (interquartile range, 35.0-39.5), and the median body mass index was 28.6 kg/m2 (interquartile range, 24.9-35.0). The median blood loss (estimated or quantitative) was 1500 mL (interquartile range, 898.5-2076.0). Of note, 9 of 20 (45%) received a transfusion of packed red blood cells. The mean peak tranexamic acid plasma concentration at 3 minutes was 59.8±4.7 µg/mL. All patients had a plasma concentration >10 µg/mL for 1 hour after infusion. Plasma concentration was >10 µg/mL in more than half of the patients at 3 hours and fell <10 µg/mL in all patients at 5 hours. There was a moderate negative correlation between body mass index and the plasma concentration area under the curve (r=-0.49; 95% confidence interval, -0.77 to -0.07; P=.026). Rotational thromboelastometry EXTEM maximum clot firmness had a weak positive correlation with longitudinal plasma concentration (r=0.32; 95% confidence interval, 0.21-0.46; P<.001). EXTEM maximum clot lysis was 0% after infusion in 18 patients (90%), and no patient in the study demonstrated a maximum lysis of >15% at any interval from 3 minutes to 5 hours. There was no significant correlation between EXTEM clot lysis at 30 minutes and longitudinal tranexamic acid plasma concentrations (r=0.10; 95% confidence interval, -0.20 to 0.19; P=.252). CONCLUSION: After standard 1 g intravenous dosing of tranexamic acid during cesarean delivery in patients at high risk of hemorrhage, a plasma concentration of ≥10 µg/mL was sustained for at least 60 minutes. Plasma tranexamic acid levels correlated inversely with body mass index. The concurrent use of rotational thromboelastometry may demonstrate tranexamic acid's impact on clot firmness but not a hyperfibrinolysis-derived trigger for therapy.

Trends in postoperative opioid prescribing in Ontario between 2013 and 2019: a population-based cohort study.

PURPOSE: Many hospital and provincial-level recommendations now advise a tailored approach to postoperative opioid prescribing; recent trends in postoperative prescribing at the population level have not been well described. METHODS: This population-based cohort study included opioid-naïve patients ≥ 18 yr of age who underwent one of 16 surgical procedures with varying anticipated postoperative pain between July 2013 and March 2020. We evaluated the rate of filled opioid prescriptions within seven days postoperatively, the total morphine milligram equivalent (MME) dose, duration, and type of the first opioid prescription. We then compared the MMEs in initial opioid prescriptions with available procedure-specific recommendations. RESULTS: The sample included 900,989 opioid-naïve patients (mean [standard deviation (SD)] age of 50 [17] 31 yr; 66% women). The percentage of patients filling an opioid prescription within 7 days postoperatively increased from 65% in 2013 to 69% in 2016, and returned to the baseline (65%) in 2019. The mean (SD) MMEs dispensed increased until 2015/2016 and then declined (226 [176] MMEs in 2013, 240 [202] MMEs in 2016, and 175 [175] MMEs in 2019). The most frequently prescribed opioid in 2013 was oxycodone compared with hydromorphone in 2019. Among patients who filled an opioid prescription in 2013, 67% were prescribed an opioid dose higher than those in one set of available prescribing recommendations, while in 2019, 41% were prescribed doses above those stated in recommendations. CONCLUSION: While the proportion of patients filling an opioid prescription postoperatively remained s during the study period, MMEs decreased after 2016. Opioid prescribing remained significantly higher than available prescribing recommendations, particularly among low pain procedures. These findings highlight the need to identify strategies that improve adherence to surgery-specific prescribing guidelines in North America.

RéSUMé: OBJECTIF: De nombreuses recommandations à l'échelle hospitalière et provinciale préconisent aujourd'hui une approche personnalisée de la prescription d'opioïdes postopératoires; les tendances récentes de la prescription postopératoire au niveau de la population n'ont pas été bien décrites. MéTHODE: Cette étude de cohorte basée sur la population englobait des patients naïfs aux opioïdes et âgés de ≥ 18 ans ayant bénéficié de l'une de 16 interventions chirurgicales entraînant une douleur postopératoire anticipée variable entre juillet 2013 et mars 2020. Nous avons évalué le taux d'ordonnances d'opioïdes remplies dans les sept jours suivant l'opération, la dose totale d'équivalent en milligrammes de morphine (EMM), ainsi que la durée et le type de la première ordonnance d'opioïdes. Nous avons ensuite comparé les EMM des ordonnances initiales d'opioïdes avec les recommandations spécifiques à l'intervention disponibles. RéSULTATS: L'échantillon comprenait 900 989 patients naïfs aux opioïdes (âge moyen [écart type (ET)] de 50 [17] ans; 66 % de femmes). La proportion de patients remplissant une ordonnance d'opioïdes dans les 7 jours suivant l'opération est passée de 65 % en 2013 à 69 % en 2016, et est revenue à la valeur de référence (65 %) en 2019. Les EMM moyens (ET) administrés ont augmenté jusqu'en 2015-2016, puis ont diminué (226 [176] EMM en 2013, 240 [202] EMM en 2016 et 175 [175] EMM en 2019). L'opioïde le plus fréquemment prescrit en 2013 était l'oxycodone par rapport à l'hydromorphone en 2019. Parmi les patients qui ont rempli une ordonnance d'opioïdes en 2013, 67 % se sont vu prescrire une dose d'opioïdes supérieure à celle d'un ensemble de recommandations de prescription disponibles, tandis qu'en 2019, 41 % se sont vu prescrire des doses supérieures à celles indiquées dans les recommandations. CONCLUSION: Alors que la proportion de patients remplissant une ordonnance d'opioïdes en période postopératoire est restée stable au cours de la période d'étude, les EMM ont diminué après 2016. La prescription d'opioïdes est demeurée beaucoup plus élevée que les recommandations de prescription disponibles, en particulier dans le cas d'interventions à faible douleur. Ces résultats soulignent la nécessité d'identifier des stratégies pour améliorer l'adhérence aux recommandations de prescription spécifiques au type de chirurgie en Amérique du Nord.

Association of Antipsychotic Drug Exposure in Pregnancy With Risk of Neurodevelopmental Disorders: A National Birth Cohort Study.

Importance: Although antipsychotic drugs cross the placenta and animal data suggest potential neurotoxic effects, information regarding human neurodevelopmental teratogenicity is limited. Objective: To evaluate whether children prenatally exposed to antipsychotic medication are at an increased risk of neurodevelopmental disorders (NDD). Design, Settings, and Participants: This birth cohort study used data from the Medicaid Analytic eXtract (MAX, 2000-2014) and the IBM Health MarketScan Research Database (MarketScan, 2003-2015) for a nationwide sample of publicly (MAX) and privately (MarketScan) insured mother-child dyads with up to 14 years of follow-up. The MAX cohort consisted of 2 034 883 children who were not prenatally exposed and 9551 who were prenatally exposed to antipsychotic medications; the MarketScan consisted of 1 306 408 and 1221 children, respectively. Hazard ratios were estimated through Cox proportional hazards regression, using propensity score overlap weights for confounding control. Estimates from both cohorts were combined through meta-analysis. Exposures: At least 1 dispensing of a medication during the second half of pregnancy (period of synaptogenesis), assessed for any antipsychotic drug, at the class level (atypical and typical), and for the most commonly used drugs (aripiprazole, olanzapine, quetiapine, risperidone, and haloperidol). Main Outcomes and Measures: Autism spectrum disorder, attention-deficit/hyperactivity disorder, learning disability, speech or language disorder, developmental coordination disorder, intellectual disability, and behavioral disorder, identified using validated algorithms, and the composite outcome of any NDD. Data were analyzed from April 2020 to January 2022. Results: The MAX cohort consisted of 2 034 883 unexposed pregnancies and 9551 pregnancies with 1 or more antipsychotic drug dispensings among women with a mean (SD) age of 26.8 (6.1) years, 204 (2.1%) of whom identified as Asian/Pacific Islander, 2720 (28.5%) as Black, 500 (5.2%) as Hispanic/Latino, and 5356 (56.1%) as White. The MarketScan cohort consisted of 1 306 408 unexposed and 1221 exposed pregnancies among women with a mean (SD) age of 33.1 (5.0) years; race and ethnicity data were not available. Although the unadjusted results were consistent with an approximate 2-fold increased risk for most exposure-outcome contrasts, risks were no longer meaningfully increased after adjustment (eg, pooled unadjusted vs adjusted hazard ratios [95% CI] for any NDD after any antipsychotic exposure: 1.91 [1.79-2.03] vs 1.08 [1.01-1.17]), with the possible exception of aripiprazole (1.36 [1.14-1.63]). Results were consistent across sensitivity analyses. Conclusions and Relevance: The findings of this birth cohort study suggest that the increased risk of NDD seen in children born to women who took antipsychotic drugs late in pregnancy seems to be explained by maternal characteristics and is not causally related with prenatal antipsychotic exposure. This finding highlights the importance of closely monitoring the neurodevelopment of the offspring of women with mental illness to ensure early intervention and support. The potential signal for aripiprazole requires replication in other data before causality can be assumed.