Faculty Bibliography

BACKGROUND:Up-to-date data on population-level risk factors for postpartum psychosis is limited, although increasing substance use disorders, psychiatric disorders, autoimmune disorders, and other medical comorbidities in the obstetrical population may be contributing to the increased baseline risk of postpartum psychosis. OBJECTIVE:This study aimed to determine trends in and risk factors for postpartum psychosis during delivery hospitalizations and postpartum readmissions. STUDY DESIGN:Analyzing the 2016-2019 Nationwide Readmission Database, this repeated cross-sectional study identified diagnoses of postpartum psychosis during delivery hospitalizations and postpartum readmissions within 60 days of discharge. The relationship among demographic, clinical, and hospital-level factors present at delivery and postpartum psychosis was analyzed with logistic regression models with adjusted odds ratios with 95% confidence intervals as measures of association. Separate models were created for postpartum psychosis diagnoses at delivery and during postpartum readmission. Temporal trends in diagnoses were analyzed with Joinpoint regression to determine the average annual percent change with 95% confidence intervals. RESULTS:Of 12,334,506 deliveries in the analysis, 13,894 (1.1 per 1000) had a diagnosis of postpartum psychosis during the delivery hospitalization, and 7128 (0.6 per 1000) had a 60-day postpartum readmission with postpartum psychosis. Readmissions with postpartum psychosis increased significantly during the study period (P=.046). Most readmissions with a postpartum psychosis diagnosis occurred in 0 to 10 days (43% of readmissions) or 11 to 20 days (18% of readmissions) after discharge. Clinical factors with the highest adjusted odds for postpartum psychosis readmission included delivery postpartum psychosis (adjusted odds ratio, 5.8; 95% confidence interval, 4.2-8.0), depression disorder (adjusted odds ratio, 3.7; 95% confidence interval, 3.3-4.2), bipolar spectrum disorder (odds ratio, 2.9; 95% confidence interval, 2.3-3.5), and schizophrenia spectrum disorder (adjusted odds ratio, 2.9; 95% confidence interval, 2.1-4.0). In models analyzing postpartum psychosis diagnoses at delivery, risk factors associated with the highest odds included anxiety disorder (adjusted odds ratio, 3.9; 95% confidence interval, 3.5-4.2), schizophrenia spectrum disorder (adjusted odds ratio, 2.5; 95% confidence interval, 1.9-3.4), bipolar disorder (adjusted odds ratio, 1.8; 95% confidence interval, 1.6-2.1), stillbirth (odds ratio, 3.6; 95% confidence interval, 3.1-4.2), and substance use disorder (odds ratio, 1.7; 95% confidence interval, 1.6-1.9). In addition, chronic conditions, such as pregestational diabetes mellitus, obesity, and substance use, were associated with delivery and readmission postpartum psychosis. CONCLUSION:This study determined that postpartum psychosis is increasing during postpartum readmissions and is associated with a wide range of obstetrical and medical comorbidities. Close follow-up care after delivery for other medical and obstetrical diagnoses may represent an opportunity to identify postpartum psychiatric conditions, including postpartum psychosis.

BACKGROUND:Management of postpartum stroke has been the focus of several quality improvement efforts in the past decade. However, there is little recent national trends data for postpartum stroke readmissions. OBJECTIVE:This study aimed to determine trends, risk factors, and complications associated with postpartum stroke readmission. STUDY DESIGN:The 2013 to 2019 Nationwide Readmissions Database was used to perform a retrospective cohort study that evaluated the risk for readmission for stroke within 60 days of delivery hospitalization discharge. Temporal trends in readmissions were analyzed using the National Cancer Institute's Joinpoint Regression Program to estimate the average annual percent change with 95% confidence intervals. Stratified trends were analyzed for hemorrhage stroke, ischemic stroke, and stroke readmissions at 1 to 10, 11 to 30, and 31 to 60 days after delivery discharge. Risk factors for stroke were analyzed using unadjusted and adjusted logistic regression models with odds ratios and 95% confidence intervals as measures of association. The risk for stroke complications, including mechanical ventilation, seizures, death, and a prolonged stay ≥14 days, was analyzed. RESULTS:Of an estimated 21,754,603 delivery hospitalizations, 5006 were complicated by a 60-day postpartum readmission with a diagnosis of stroke. The average annual percent change for all stroke readmissions over the study period was not significant (average annual percent change, 0.1%; 95% confidence interval, -2.2% to 2.4%). When the trends in readmission for ischemic and hemorrhagic stroke were analyzed, the results were similar, as were the stratified analyses by readmission timing. Risk factors associated with increased odds included superimposed preeclampsia (odds ratio, 4.8; 95% confidence interval, 3.9-5.9), preeclampsia with severe features (odds ratio, 3.7; 95% confidence interval, 3.0-4.4), maternal cardiac disease (odds ratio, 3.0; 95% confidence interval, 2.5-3.7), chronic kidney disease (odds ratio, 5.0; 95% confidence interval, 3.4-7.5), and lupus (odds ratio, 7.0; 95% confidence interval, 4.9-10.2). Risk was retained in adjusted analyses. Common stroke-related complications included a prolonged hospital stay ≥14 days (12.1 per 1000 stroke-related readmissions), seizures (9.9 per 1000 stroke-related readmissions), and mechanical ventilation (6.6 per 1000 stroke-related readmissions). CONCLUSION:This analysis of nationally representative data demonstrated no change in the rate of 60-day postpartum hospitalizations for stroke from 2013 to 2019. Further clinical research is indicated to optimize risk reduction for stroke after delivery hospitalization discharge.

OBJECTIVE:To compare nationwide trends in the rate of inpatient and outpatient hysterectomy between 2019 and 2020 during the coronavirus disease 2019 (COVID-19) pandemic. METHODS:Using weighted data from the National Inpatient Sample and the National Ambulatory Surgery Sample, we examined the number of hysterectomies performed by month from 2019 through 2020. Monthly trends were compared between years overall, stratified by the route of surgery (abdominal, laparoscopic, and vaginal) and by indication for surgery (benign, preinvasive, cancer). Trends analyses were conducted using Joinpoint regression and reported as average monthly percentage change (AMPC). Differences in demographic characteristics between the years were compared using χ 2 tests. RESULTS:From January 2019 through December 2020, after weighting, 1,029,792 hysterectomies were performed, including 548,802 (53.2%) in 2019 and 480,990 (46.7%) in 2020. Starting in January 2020, monthly cases declined significantly, from 40,240 to a nadir of 10,566 hysterectomies in April 2020 (AMPC -29.2%, 95% CI -39.8% to -16.8%) ( P <.001). The subsequent months saw a significant increase in cases, from the nadir in April 2020 to 40,023 cases in July 2020 (AMPC 39.4%, 95% CI 18.6-63.9%) ( P =.001), which then stabilized to the end of the year (AMPC -1.3%, 95% CI -4.8% to 2.4%) ( P =.46). In March 2020 there was a 24.0% decrease, in April 2020 a 74.2% decrease, and in May 2020 a 35.1% decrease compared with the respective months in 2019. The rates of vaginal hysterectomy declined more than the rates of other routes of surgery, and procedures performed for benign and preinvasive disease decreased more than those for cancer. CONCLUSION:The rate of hysterectomy in the United States decreased in 2020 compared with 2019, with the greatest decrease from March to May of 2020, corresponding with the initial wave of COVID-19.

OBJECTIVE:To determine whether longitudinal health data accounts for end-organ injury or death in the setting of chronic hypertension. DESIGN:Cohort of 64 799 deliveries to 61 854 women. SETTING:US claims data for the preiod 2008-2019. POPULATION:Women with a delivery hospitalisation and chronic hypertension. METHODS:Risk for a composite of acute end-organ injury or death during the delivery hospitalisation and 30 days postpartum was analysed. Adjusted logistic regression models were derived with discrimination for each model estimated by the C-statistic. Poisson regression was used to estimate adjusted risk ratios. Starting with models using data from pregnancy, further adjustment was performed accounting for healthcare use in the year prior to pregnancy, including hospitalisations, emergency department encounters, prescription medications and pre-pregnancy diagnoses. MAIN OUTCOME MEASURES:Acute end-organ injury or death. RESULTS:The composite outcome occurred among 5.7% of 64 799 deliveries. For patients with commercial insurance, filling non-hypertensive medications from ≥11 different classes, compared with none (adjusted risk ratio, aRR 4.07, 95% CI 2.86-5.79), three or more hospitalisations before pregnancy, compared with none (aRR 4.75, 95% CI 3.46-6.52), and chronic kidney disease diagnosed in the year before pregnancy (aRR 2.35, 95% CI 1.88, 2.94) were associated with increased risk. For pregnancies covered by commercial insurance, the C-statistic increased from 0.615 (95% CI 0.599-0.630) in the model with pregnancy data only to 0.796 (95% CI 0.783-0.808) for the model additionally including healthcare use in the year before pregnancy. Findings with Medicaid were similar. CONCLUSIONS:Prepregnancy care use predicted adverse maternal outcomes. These data may be important in risk stratification.

BACKGROUND:Labor neuraxial analgesia may reduce the odds of postpartum hemorrhage, the leading indication for maternal blood transfusion during childbirth. This study tested the hypothesis that labor neuraxial analgesia is associated with reduced odds of maternal blood transfusion overall. METHODS:U.S. birth certificate data in the Natality File of the National Vital Statistics System for all 50 states from 2015 to 2018 for vaginal and intrapartum cesarean deliveries were analyzed. The exposure was labor neuraxial analgesia. The primary outcome was maternal blood transfusion, recorded on the birth certificate, which has low sensitivity for this outcome. Adjusted odds ratios and 95% CIs of blood transfusion associated with neuraxial analgesia were estimated using propensity score matching. The adjusted odds ratios were estimated overall and according to delivery mode, and treatment effect was compared between vaginal and intrapartum cesarean deliveries using an interaction term. Sensitivity analyses were performed using inverse propensity score weighting and quantitative bias analysis for outcome misclassification. RESULTS:Of the 12,503,042 deliveries analyzed, 9,479,291 (75.82%) were with neuraxial analgesia, and 42,485 (0.34%) involved maternal blood transfusion. After propensity score matching, the incidence of blood transfusion was 0.30% in women without neuraxial analgesia (7,907 of 2,589,493) and 0.20% in women with neuraxial analgesia (5,225 of 2,589,493), yielding an adjusted odds ratio of 0.87 (95% CI, 0.82 to 0.91) overall. For intrapartum cesarean deliveries, the adjusted odds ratio was 0.55 (95% CI, 0.48 to 0.64), and for vaginal deliveries it was 0.93 (95% CI,. 0.88 to 0.98; P value for the interaction term < 0.001). The results were consistent in the sensitivity analyses, although the quantitative bias analysis demonstrated wide variation in potential effect size point estimates. CONCLUSIONS:Labor neuraxial analgesia may be associated with reduced odds of maternal blood transfusion in intrapartum cesarean deliveries and, to a lesser extent, vaginal deliveries. The specific effect size varies widely by delivery mode and is unclear given the poor sensitivity of the data set for the maternal transfusion primary outcome.

BACKGROUND:Providing continuous health insurance coverage during the perinatal period may increase access to and utilization of labor neuraxial analgesia. This study tested the hypothesis that implementation of the 2010 Dependent Coverage Provision of the Patient Protection and Affordable Care Act, requiring private health insurers to allow young adults to remain on their parent's plan until age 26 yr, was associated with increased labor neuraxial analgesia use. METHODS:This study used a natural experiment design and birth certificate data for spontaneous vaginal deliveries in 28 U.S. states between 2009 and 2013. The intervention was the Dependent Coverage Provision, categorized into pre- and postintervention periods (January 2009 to August 2010 and September 2010 to December 2013, respectively). The exposure was women's age, categorized as exposed (21 to 25 yr) and unexposed (27 to 31 yr). The outcome was the labor neuraxial analgesia utilization rate. RESULTS:Of the 4,515,667 birth certificates analyzed, 3,033,129 (67.2%) indicated labor neuraxial analgesia use. For women aged 21 to 25 yr, labor neuraxial analgesia utilization rates were 64.9% during the preintervention period and 68.9% during the postintervention period (difference, 4.0%; 95% CI, 3.9 to 4.2). For women aged 27 to 31 yr, labor neuraxial analgesia utilization rates were 64.9% during the preintervention period and 67.7% during the postintervention period (difference, 2.8%; 95% CI, 2.7 to 2.9). After adjustment, implementation of the Dependent Coverage Provision was associated with a 1.0% (95% CI, 0.8 to 1.2) absolute increase in labor neuraxial analgesia utilization rate among women aged 21 to 25 yr compared with women aged 27 to 31 yr. The increase was statistically significant for White and Hispanic women but not for Black and Other race and ethnicity women. CONCLUSIONS:Implementation of the Dependent Coverage Provision was associated with a statistically significant increase in labor neuraxial analgesia use, but the small effect size is unlikely of clinical significance.

IMPORTANCE:Reducing rates of unnecessary cesarean deliveries is both a national and a global health objective. However, there are limited national US data on trends in indications for low-risk cesarean delivery. OBJECTIVE:To determine temporal trends in and indications for cesarean delivery among patients at low risk for the procedure over a 20-year period. DESIGN, SETTING, AND PARTICIPANTS:This cross-sectional study analyzed 2000 to 2019 delivery hospitalizations using the National Inpatient Sample. Births at low risk for cesarean delivery were identified using a definition from the Society for Maternal-Fetal Medicine and additional criteria. Temporal trends in cesarean birth were analyzed using joinpoint regression to estimate the average annual percentage change (AAPC) with 95% CIs. Data analysis was performed from August 2022 to January 2023. EXPOSURE:This analysis evaluated cesarean birth trends in a population at low risk for this procedure over a 20-year period. MAIN OUTCOMES AND MEASURES:In addition to overall cesarean birth risk, cesarean deliveries for nonreassuring fetal status and labor arrest were individually analyzed. RESULTS:Of an estimated 76.7 million delivery hospitalizations, 21.5 million were excluded according to the Society for Maternal-Fetal Medicine definition, and 14.7 million were excluded according to additional criteria. Of the estimated 40 517 867 deliveries included, 12.1% (4 885 716 deliveries) were by cesarean delivery. Cesarean deliveries among patients at low risk for the procedure increased from 9.7% to 13.9% between 2000 and 2009, plateaued, and then decreased from 13.0% to 11.1% between 2012 and 2019. The AAPC for cesarean delivery was 6.4% (95% CI, 5.2% to 7.6%) from 2000 to 2005, 1.2% from 2005 to 2009 (95% CI, -1.2% to 3.7%), and -2.2% from 2009 to 2019 (95% CI, -2.7% to -1.8%). Cesarean delivery for nonreassuring fetal status increased from 3.4% of all deliveries in 2000 to 5.1% in 2019 (AAPC, 2.1%; 95% CI, 1.7% to 2.5%). Cesarean delivery for labor arrest increased from 3.6% in 2000 to a peak of 4.8% in 2009 before decreasing to 2.7% in 2019. Cesarean deliveries for labor arrest increased during the first half of the study (2000-2009) for the active phase (from 1.5% to 2.1%), latent phase (from 1.1% to 1.5%), and second stage (from 0.9% to 1.3%) and then decreased from 2010 to 2019, from 2.1% to 1.7% for the active phase, from 1.5% to 1.2% for the latent phase, and from 1.2% to 0.9% for the second stage. CONCLUSIONS AND RELEVANCE:Cesarean deliveries among patients at low risk for cesarean birth appeared to decrease over the latter years of the study period, with cesarean deliveries for labor arrest becoming less common.

OBJECTIVE:The objectives of this study were to determine (1) whether obstetrical patients were more likely to be admitted from the emergency department (ED) for influenza compared with nonpregnant women, and (2) require critical care interventions once admitted. STUDY DESIGN:Using data from the 2006 to 2011 Nationwide Emergency Department Sample, ED encounters for influenza for women aged 15 to 54 years without underlying chronic medical conditions were identified. Women were categorized as pregnant or nonpregnant using billing codes. Multivariable log linear models were fit to evaluate the relative risk of admission from the ED and the risk of intensive care unit (ICU)-level interventions including mechanical ventilation and central monitoring with pregnancy status as the exposure of interest. Measures of association were described with adjusted risk ratios (aRRs) with 95% confidence intervals (CIs). RESULTS: < 0.01). CONCLUSION:Pregnancy confers three times the risk of admission from the ED for influenza and pregnant women are significantly more likely to require ICU-level medical interventions compared with women of similar age. These findings confirm the significant disease burden from influenza in the obstetric population and the public health importance of reducing infection risk. KEY POINTS:· Pregnancy confers three times the risk of admission from the ED for influenza.. · Pregnant women admitted with influenza are significantly more likely to require ICU-level care.. · Influenza represents a significant disease burden in the obstetric population.

OBJECTIVE:To assess clinical characteristics, trends, and outcomes associated with the diagnosis of hepatitis C virus (HCV) infection during pregnancy. METHODS:This cross-sectional study analyzed delivery hospitalizations using the National Inpatient Sample. Temporal trends in both diagnosis of HCV infection and clinical characteristics associated with HCV infection were analyzed using joinpoint regression to estimate the average annual percent change (AAPC) with 95% CIs. Survey-adjusted logistic regression models were fit to assess the association among HCV infection and preterm delivery, cesarean delivery, and severe maternal morbidity (SMM), adjusting for clinical, medical, and hospital factors with adjusted odds ratios (aORs) as the measure of association. RESULTS:An estimated 76.7 million delivery hospitalizations were included, in which 182,904 (0.24%) delivering individuals had a diagnosis of HCV infection. The prevalence of HCV infection diagnosed in pregnancy increased nearly 10-fold over the study period, from 0.05% in 2000 to 0.49% in 2019, representing an AAPC of 12.5% (95% CI 10.4-14.8%). The prevalence of clinical characteristics associated with HCV infection also increased over the study period, including opioid use disorder (from 10 cases/10,000 birth hospitalizations to 71 cases/10,000 birth hospitalizations), nonopioid substance use disorder (from 71 cases/10,000 birth hospitalizations to 217 cases/10,000 birth hospitalizations), mental health conditions (from 219 cases/10,000 birth hospitalizations to 1,117 cases/10,000), and tobacco use (from 61 cases/10,000 birth hospitalizations to 842 cases/10,000). The rate of deliveries among patients with two or more clinical characteristics associated with HCV infection increased from 26 cases per 10,000 birth hospitalizations to 377 cases per 10,000 delivery hospitalizations (AAPC 13.4%, 95% CI 12.1-14.8%). In adjusted analyses, HCV infection was associated with increased risk for SMM (aOR 1.78, 95% CI 1.61-1.96), preterm birth (aOR 1.88, 95% CI 1.8-1.95), and cesarean delivery (aOR 1.27, 95% CI 1.23-1.31). CONCLUSION:Diagnosis of HCV infection is increasingly common in the obstetric population, which may reflect an increase in screening or a true increase in prevalence. The increase in HCV infection diagnoses occurred in the setting of many baseline clinical characteristics that are associated with HCV infection becoming more common.

OBJECTIVE:Vital sign scoring systems that alert providers of clinical deterioration prior to critical illness have been proposed as a means of reducing maternal risk. This study examined the predictive ability of established maternal early warning systems (MEWS)-as well as their component vital sign thresholds-for different types of maternal morbidity, to discern an optimal early warning system. STUDY DESIGN:This retrospective cohort study analyzed all patients admitted to the obstetric services of a four-hospital urban academic system in 2018. Three sets of published MEWS criteria were evaluated. Maternal morbidity was defined as a composite of hemorrhage, infection, acute cardiac disease, and acute respiratory disease ascertained from the electronic medical record data warehouse and administrative data. The test characteristics of each MEWS, as well as for heart rate, blood pressure, and oxygen saturation were compared. RESULTS:Of 14,597 obstetric admissions, 2,451 patients experienced the composite morbidity outcome (16.8%) including 980 cases of hemorrhage (6.7%), 1,337 of infection (9.2%), 362 of acute cardiac disease (2.5%), and 275 of acute respiratory disease (1.9%) (some patients had multiple types of morbidity). The sensitivities (15.3-64.8%), specificities (56.8-96.1%), and positive predictive values (22.3-44.5%) of the three MEWS criteria ranged widely for overall morbidity, as well as for each morbidity subcategory. Of patients with any morbidity, 28% met criteria for the most liberal vital sign combination, while only 2% met criteria for the most restrictive parameters, compared with 14 and 1% of patients without morbidity, respectively. Sensitivity for all combinations was low (maximum 28.2%), while specificity for all combinations was high, ranging from 86.1 to 99.3%. CONCLUSION:Though all MEWS criteria demonstrated poor sensitivity for maternal morbidity, permutations of the most abnormal vital signs have high specificity, suggesting that MEWS may be better implemented as a trigger tool for morbidity reduction strategies in the highest risk patients, rather than a general screen. KEY POINTS:· MEWS have poor sensitivity for maternal morbidity.. · MEWS can be optimized for high specificity using modified criteria.. · MEWS could be better used as a trigger tool..