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OBJECTIVE To evaluate severe maternal morbidity (SMM) among patients with epilepsy and patients without epilepsy. METHODS We retrospectively examined SMM using linked birth certificate and maternal hospital discharge records in California between 2007 and 2012. Epilepsy present at delivery admission was the exposure and was subtyped into generalized, focal and other less specified, or unspecified. The outcomes were SMM and nontransfusion SMM from delivery up to 42 days' postpartum, identified using Centers for Disease Control and Prevention indicators. Multivariable logistic regression models were used to adjust for confounders, which were selected a priori. We also estimated the association between epilepsy and SMM independent of comorbidities by using a validated obstetric comorbidity score. Severe maternal morbidity indicators were then compared using the same multivariable logistic regression models. RESULTS Of 2,668,442 births, 8,145 (0.3%) were to patients with epilepsy; 637 (7.8%) had generalized, 6,250 (76.7%) had focal or other less specified, and 1,258 (15.4%) had unspecified subtypes. Compared with patients without epilepsy, patients with epilepsy had greater odds of SMM (4.3% vs 1.4%, adjusted odds ratio [aOR] 2.91, 95% CI 2.61-3.24) and nontransfusion SMM (2.9% vs 0.7%, aOR 4.16, 95% CI 3.65-4.75). Epilepsy remained significantly associated with increased SMM and nontransfusion SMM after additional adjustment for the obstetric comorbidity score, though the effects were attenuated. When grouped by organ system, all SMM indicators were significantly more common among patients with epilepsy-most notably those related to hemorrhage and transfusion. CONCLUSION Severe maternal morbidity was significantly increased in patients with epilepsy, and SMM indicators across all organ systems contributed to this.

To assess whether readmission for hypertension by 6 weeks postpartum differed between patients discharged on nifedipine or labetalol.This cohort study included patients with delivery admissions from 2006 to 2017 who were discharged from the hospital on nifedipine or labetalol and were included in a large, national adjudicated claims database. We identified patients' discharge medication based on filled outpatient prescriptions. We compared rates of hospital readmission for hypertension between patients discharged postpartum on labetalol alone, nifedipine alone, or combined nifedipine and labetalol. Patients with chronic hypertension without superimposed preeclampsia were excluded. Comparisons based on medication were performed using logistic regression models with adjustment for prespecified confounders. Comparisons were also stratified by hypertensive disorder of pregnancy severity.Among 1,582,335 patients overall, 14,112 (0.89%) were discharged postpartum on labetalol, 9,001 (0.57%) on nifedipine, and 1,364 (0.09%) on both medications. Postpartum readmissions for hypertension were more frequent for patients discharged on labetalol compared with nifedipine (641 patients vs 185 patients, 4.5% vs 2.1%, adjusted odds ratio [aOR] 1.63, 95% CI 1.43-1.85). Readmissions for hypertension were more frequent for patients discharged on labetalol compared with nifedipine for both mild (4.5% vs 2.7%, aOR 1.57, 95% CI 1.29-1.93) and severe hypertensive disorders of pregnancy (261 patients vs 72 patients, 5.7% vs 3.2%, aOR 1.63, 95% CI 1.43-1.85). Readmissions for hypertension were more frequent on combined nifedipine and labetalol compared with nifedipine (3.1% vs 2.1%), but the odds were lower after confounder adjustment (aOR 0.80, 95% CI 0.64-0.99).Postpartum discharge on labetalol was associated with increased risk of readmission for hypertension compared with discharge on nifedipine.

Objective To develop an evidence-based guideline on contraception, assisted reproductive technologies (ART), fertility preservation with gonadotoxic therapy, use of menopausal hormone replacement therapy (HRT), pregnancy assessment and management, and medication use in patients with rheumatic and musculoskeletal disease (RMD). Methods We conducted a systematic review of evidence relating to contraception, ART, fertility preservation, HRT, pregnancy and lactation, and medication use in RMD populations, using Grading of Recommendations Assessment, Development and Evaluation methodology to rate the quality of evidence and a group consensus process to determine final recommendations and grade their strength (conditional or strong). Good practice statements were agreed upon when indirect evidence was sufficiently compelling that a formal vote was unnecessary. Results This American College of Rheumatology guideline provides 12 ungraded good practice statements and 131 graded recommendations for reproductive health care in RMD patients. These recommendations are intended to guide care for all patients with RMD, except where indicated as being specific for patients with systemic lupus erythematosus, those positive for antiphospholipid antibody, and/or those positive for anti-Ro/SSA and/or anti-La/SSB antibodies. Recommendations and good practice statements support several guiding principles: use of safe and effective contraception to prevent unplanned pregnancy, pre-pregnancy counseling to encourage conception during periods of disease quiescence and while receiving pregnancy-compatible medications, and ongoing physician-patient discussion with obstetrics/gynecology collaboration for all reproductive health issues, given the overall low level of available evidence that relates specifically to RMD. Conclusion This guideline provides evidence-based recommendations developed and reviewed by panels of experts and RMD patients. Many recommendations are conditional, reflecting a lack of data or low-level data. We intend that this guideline be used to inform a shared decision-making process between patients and their physicians on issues related to reproductive health that incorporates patients' values, preferences, and comorbidities.

Objective Systemic lupus erythematosus (SLE) increases the risk of complications in pregnancy. Hydroxychloroquine (HCQ) decreases flares and neonatal lupus syndrome. Limited evidence suggests that HCQ also reduces preeclampsia and preterm birth in SLE pregnancies. We studied whether HCQ was associated with lower odds of preeclampsia and preterm delivery in SLE pregnancies. Study Design We conducted a retrospective cohort study of 129 deliveries of 110 patients with SLE delivered at a single institution (2000–2017). HCQ exposure and preeclampsia, along with other clinical data, were extracted from chart review. Crude and multivariable-adjusted logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Results A total of 41% were exposed to HCQ, of whom 13.5% were complicated by preeclampsia versus 26.3% unexposed to HCQ (adjusted OR = 0.5; 95% CI: 0.2–1.4). The difference was pronounced for first pregnancies (7 vs. 44%), but power was limited. The difference in preterm deliveries was less pronounced comparing HCQ-exposed pregnancies with HCQ-unexposed pregnancies (34 vs. 40.8%; OR = 0.3; 95% CI: 0.3–1.5). Conclusion Pregnant SLE patients trended toward less preeclampsia and preterm delivery when treated with HCQ. Future larger studies are needed to increase the statistical power, account for additional potential confounders, and more fully account for parity.

Reducing the prevalence of eclampsia, a major cause of maternal and perinatal morbidity, is a maternal health priority. However, sparse data exist examining trends in the USA prevalence of eclampsia.The aim of this study was to assess temporal trends in the prevalence of eclampsia among live births in the United States from 2009 to 2017.This population-based cross-sectional study included live births in 41 USA states and the District of Columbia between 2009 and 2017. The prevalence of eclampsia among all women, women with chronic hypertension and hypertensive disorders of pregnancy were reported by 1000 live births. Risk ratios adjusted for maternal characteristics were used to assess temporal trends.Of 27 866 714 live births between 2009 and 2017, 83 000 (0.30%) were associated with eclampsia. The adjusted risk of eclampsia decreased 10% during the 7 most recent years of the cohort, with an adjusted risk ratio of 0.90 [95% confidence interval (95% CI): 0.87-0.93] in 2017 relative to 2009. Relative to 2009, the adjusted risk of eclampsia in 2017 was substantially lower among women with chronic hypertension (adjusted risk ratio: 0.51; 95% CI: 0.46-0.57) and women with hypertensive pregnancy disorders (adjusted risk ratio: 0.43; 95% CI: 0.40-0.47). Among nonhypertensive women, there was a slight increase in the adjusted risk of eclampsia in 2017 relative to 2009 (adjusted risk ratio: 1.14; 95% CI: 1.10-1.17).Despite reductions in the eclampsia prevalence among women with chronic hypertension and hypertensive disorders of pregnancy, public health initiatives are needed to reduce the overall eclampsia prevalence, especially in nonhypertensive women.

BACKGROUND Reducing the prevalence of eclampsia, a major cause of maternal and perinatal morbidity, is a maternal health priority. However, sparse data exist examining trends in the USA prevalence of eclampsia. OBJECTIVE The aim of this study was to assess temporal trends in the prevalence of eclampsia among live births in the United States from 2009 to 2017. STUDY DESIGN This population-based cross-sectional study included live births in 41 USA states and the District of Columbia between 2009 and 2017. The prevalence of eclampsia among all women, women with chronic hypertension and hypertensive disorders of pregnancy were reported by 1000 live births. Risk ratios adjusted for maternal characteristics were used to assess temporal trends. RESULTS Of 27 866 714 live births between 2009 and 2017, 83 000 (0.30%) were associated with eclampsia. The adjusted risk of eclampsia decreased 10% during the 7 most recent years of the cohort, with an adjusted risk ratio of 0.90 [95% confidence interval (95% CI): 0.87-0.93] in 2017 relative to 2009. Relative to 2009, the adjusted risk of eclampsia in 2017 was substantially lower among women with chronic hypertension (adjusted risk ratio: 0.51; 95% CI: 0.46-0.57) and women with hypertensive pregnancy disorders (adjusted risk ratio: 0.43; 95% CI: 0.40-0.47). Among nonhypertensive women, there was a slight increase in the adjusted risk of eclampsia in 2017 relative to 2009 (adjusted risk ratio: 1.14; 95% CI: 1.10-1.17). CONCLUSION Despite reductions in the eclampsia prevalence among women with chronic hypertension and hypertensive disorders of pregnancy, public health initiatives are needed to reduce the overall eclampsia prevalence, especially in nonhypertensive women.

OBJECTIVE:To describe the clinical characteristics of stroke and opportunities to improve care in a cohort of preeclampsia-related maternal mortalities in California.METHODS:The California Pregnancy-Associated Mortality Review retrospectively examined a cohort of preeclampsia pregnancy-related death

Objective The burden of preeclampsia severity on the health of mothers and infants during the first year after delivery is unclear, given the lack of population-based longitudinal studies in the United States. Study design We assessed maternal and infant adverse outcomes during the first year after delivery using population-based hospital discharge information merged with vital statistics and birth certificates of 2,021,013 linked maternal–infant births in California. We calculated sampling weights using the National Center for Health Statistics data to adjust for observed differences in maternal characteristics between California and the rest of the United States. Separately, we estimated the association between preeclampsia and gestational age and examined collider bias in models of preeclampsia and maternal and infant adverse outcomes. Results Compared with women without preeclampsia, women with mild and severe preeclampsia delivered 0.66 weeks (95% confidence interval [CI]: 0.64, 0.68) and 2.74 weeks (95% CI: 2.72, 2.77) earlier, respectively. Mild preeclampsia was associated with an increased risk of having any maternal adverse outcome (relative risk [RR] = 1.95; 95% CI: 1.93, 1.97), as was severe preeclampsia (RR = 2.80; 95% CI: 2.78, 2.82). The risk of an infant adverse outcome was increased for severe preeclampsia (RR = 2.15; 95% CI: 2.14, 2.17) but only marginally for mild preeclampsia (RR = 0.99; 95% CI: 0.98, 1). Collider bias produced an inverse association for mild preeclampsia and attenuated the association for severe preeclampsia in models for any infant adverse outcome. Conclusion Using multiple datasets, we estimated that severe preeclampsia is associated with a higher risk of maternal and infant adverse outcomes compared with mild preeclampsia, including an earlier preterm delivery.

Statins induce heme oxygenase-1 (HO-1) expression in vitro and in vivo. Low HO-1 expression is associated with pregnancy complications, e.g. preeclampsia and recurrent miscarriages. Here, we investigated the effects of pravastatin on HO-1 expression, placental development, and fetal survival in mice with a partial HO-1 deficiency.At E14.5, untreated pregnant wild-type (WT, n=13-18), untreated HO-1Compared with WT, HO activity in Het livers (65±18%, P0.001) and placentas (74±7%, P0.001) were significantly decreased. Number of viable fetuses per dam was significantly lower in Untreated Het dams (6.0±2.2) compared with WT (9.1±1.4, P0.01), accompanied by a higher relative risk (RR) for concepti resorption (17.1, 95% CI 4.0-73.2). In Hets treated with pravastatin, maternal liver and placental HO activity increased, approaching levels of WT controls (to 83±7% and 87±14%, respectively). The number of viable fetuses per dam increased to 7.7±2.5 with a decreased RR for concepti resorption (2.7, 95% CI 1.2-5.9). In some surviving Untreated Het placentas, there were focal losses of cellular architecture and changes suggestive of reduced blood flow in the labyrinth. These findings were absent in Het+Pravastatin placentas.Pravastatin induces maternal liver and placental HO activity, may affect placental function and improve fetal survival in the context of a partial deficiency of HO-1.

Liquid biopsies that measure circulating cell-free RNA (cfRNA) offer an unprecedented opportunity to noninvasively study the development of pregnancy-related complications and to bridge gaps in clinical care. Here, we used 404 blood samples from 199 pregnant mothers to identify and validate cfRNA transcriptomic changes that are associated with preeclampsia (PE), a multi-organ syndrome which is the second largest cause of maternal death globally. We find that changes in cfRNA gene expression between normotensive (NT) and preeclamptic mothers are striking and stable early in gestation, well before the onset of symptoms. These changes are enriched for genes specific to neuromuscular, endothelial, and immune cell types and tissues that reflect important aspects of PE physiology and suggest new hypotheses for disease progression. This enabled identification and independent validation of a panel of 18 genes whose measurement between 5–16 weeks of gestation can form the basis of a liquid biopsy test that would identify mothers at risk of PE well before the clinical symptoms manifest themselves. Finally, we demonstrate that cfRNA changes reflect the multifactorial nature of PE and provide a means to non-invasively monitor maternal organ health. Tests based on these observations could help predict and manage who is at risk for PE, an important and until now unachieved objective for obstetric care.

Liquid biopsies that measure circulating cell-free RNA (cfRNA) offer an opportunity to study the development of pregnancy-related complications in a non-invasive manner and to bridge gaps in clinical care

Early identification of pregnant women at risk for preeclampsia (PE) is important, as it will enable targeted interventions ahead of clinical manifestations. The quantitative analyses of plasma proteins feature prominently among molecular approaches used for risk prediction. However, derivation of protein signatures of sufficient predictive power has been challenging. The recent availability of platforms simultaneously assessing over 1000 plasma proteins offers broad examinations of the plasma proteome, which may enable the extraction of proteomic signatures with improved prognostic performance in prenatal care. The primary aim of this study was to examine the generalizability of proteomic signatures predictive of PE in two cohorts of pregnant women whose plasma proteome was interrogated with the same highly multiplexed platform. Establishing generalizability, or lack thereof, is critical to devise strategies facilitating the development of clinically useful predictive tests. A second aim was to examine the generalizability of protein signatures predictive of gestational age (GA) in uncomplicated pregnancies in the same cohorts to contrast physiological and pathological pregnancy outcomes. Serial blood samples were collected during the first, second, and third trimesters in 18 women who developed PE and 18 women with uncomplicated pregnancies (Stanford cohort). The second cohort (Detroit), used for comparative analysis, consisted of 76 women with PE and 90 women with uncomplicated pregnancies. Multivariate analyses were applied to infer predictive and cohort-specific proteomic models, which were then tested in the alternate cohort. Gene ontology (GO) analysis was performed to identify biological processes that were over-represented among top-ranked proteins associated with PE. The model derived in the Stanford cohort was highly significant (p = 3.9E–15) and predictive (AUC = 0.96), but failed validation in the Detroit cohort (p = 9.7E–01, AUC = 0.50). Similarly, the model derived in the Detroit cohort was highly significant (p = 1.0E–21, AUC = 0.73), but failed validation in the Stanford cohort (p = 7.3E–02, AUC = 0.60). By contrast, proteomic models predicting GA were readily validated across the Stanford (p = 1.1E–454, R = 0.92) and Detroit cohorts (p = 1.1.E–92, R = 0.92) indicating that the proteomic assay performed well enough to infer a generalizable model across studied cohorts, which makes it less likely that technical aspects of the assay, including batch effects, accounted for observed differences. Results point to a broader issue relevant for proteomic and other omic discovery studies in patient cohorts suffering from a clinical syndrome, such as PE, driven by heterogeneous pathophysiologies. While novel technologies including highly multiplex proteomic arrays and adapted computational algorithms allow for novel discoveries for a particular study cohort, they may not readily generalize across cohorts. A likely reason is that the prevalence of pathophysiologic processes leading up to the “same” clinical syndrome can be distributed differently in different and smaller-sized cohorts. Signatures derived in individual cohorts may simply capture different facets of the spectrum of pathophysiologic processes driving a syndrome. Our findings have important implications for the design of omic studies of a syndrome like PE. They highlight the need for performing such studies in diverse and well-phenotyped patient populations that are large enough to characterize subsets of patients with shared pathophysiologies to then derive subset-specific signatures of sufficient predictive power.

This diagnostic/prognostic study describes the use of cell-free transcriptomics, urine metabolomics, and plasma proteomics for identifying the biological measurements associated with preterm birth., Key Points Question What maternal biological modalities are associated with preterm birth (PTB)? Findings In this diagnostic/prognostic study of 81 pregnant women from 5 birth cohorts in low- and middle-income countries, several correlates of preterm birth in urine and blood were found to be associated with PTB. Although cohort-specific signatures were present, a machine learning algorithm was able to generate a model that was capable of predicting PTB across the cohorts. Meaning Results of this study suggest that most PTBs can be predicted using blood and urine samples collected early in the pregnancy, providing opportunities for interventions., Importance Worldwide, preterm birth (PTB) is the single largest cause of deaths in the perinatal and neonatal period and is associated with increased morbidity in young children. The cause of PTB is multifactorial, and the development of generalizable biological models may enable early detection and guide therapeutic studies. Objective To investigate the ability of transcriptomics and proteomics profiling of plasma and metabolomics analysis of urine to identify early biological measurements associated with PTB. Design, Setting, and Participants This diagnostic/prognostic study analyzed plasma and urine samples collected from May 2014 to June 2017 from pregnant women in 5 biorepository cohorts in low- and middle-income countries (LMICs; ie, Matlab, Bangladesh; Lusaka, Zambia; Sylhet, Bangladesh; Karachi, Pakistan; and Pemba, Tanzania). These cohorts were established to study maternal and fetal outcomes and were supported by the Alliance for Maternal and Newborn Health Improvement and the Global Alliance to Prevent Prematurity and Stillbirth biorepositories. Data were analyzed from December 2018 to July 2019. Exposures Blood and urine specimens that were collected early during pregnancy (median sampling time of 13.6 weeks of gestation, according to ultrasonography) were processed, stored, and shipped to the laboratories under uniform protocols. Plasma samples were assayed for targeted measurement of proteins and untargeted cell-free ribonucleic acid profiling; urine samples were assayed for metabolites. Main Outcomes and Measures The PTB phenotype was defined as the delivery of a live infant before completing 37 weeks of gestation. Results Of the 81 pregnant women included in this study, 39 had PTBs (48.1%) and 42 had term pregnancies (51.9%) (mean [SD] age of 24.8 [5.3] years). Univariate analysis demonstrated functional biological differences across the 5 cohorts. A cohort-adjusted machine learning algorithm was applied to each biological data set, and then a higher-level machine learning modeling combined the results into a final integrative model. The integrated model was more accurate, with an area under the receiver operating characteristic curve (AUROC) of 0.83 (95% CI, 0.72-0.91) compared with the models derived for each independent biological modality (transcriptomics AUROC, 0.73 [95% CI, 0.61-0.83]; metabolomics AUROC, 0.59 [95% CI, 0.47-0.72]; and proteomics AUROC, 0.75 [95% CI, 0.64-0.85]). Primary features associated with PTB included an inflammatory module as well as a metabolomic module measured in urine associated with the glutamine and glutamate metabolism and valine, leucine, and isoleucine biosynthesis pathways. Conclusions and Relevance This study found that, in LMICs and high PTB settings, major biological adaptations during term pregnancy follow a generalizable model and the predictive accuracy for PTB was augmented by combining various omics data sets, suggesting that PTB is a condition that manifests within multiple biological systems. These data sets, with machine learning partnerships, may be a key step in developing valuable predictive tests and intervention candidates for preventing PTB.

Importance Hypertensive disorders of pregnancy are important causes of maternal and perinatal morbidity in the US. However, the extent of statewide variation in the prevalence of chronic hypertension, pregnancy-induced hypertension or preeclampsia, and eclampsia in the US remains unknown. Objective To examine the extent of statewide variation in the prevalence of chronic hypertension, hypertensive disorders of pregnancy (including pregnancy-induced hypertension or preeclampsia), and eclampsia in the US. Design, Setting, and Participants A cross-sectional study using 2017 US birth certificate data was conducted from September 1, 2019, to February 1, 2020. A population-based sample of 3 659 553 women with a live birth delivery was included. Main Outcomes and Measures State-specific prevalence of chronic hypertension, hypertensive disorders of pregnancy, and eclampsia was assessed using multilevel multivariable logistic regression, with the median odds ratio (MOR) to evaluate statewide variation. Results Of the 3 659 553 women, 185 932 women (5.1%) were younger than 20 years, 727 573 women (19.9%) were aged between 20 and 24 years, 1 069 647 women (29.2%) were aged between 25 and 29 years, 1 037 307 women (28.3%) were aged between 30 and 34 years, 523 607 women (14.3%) were aged between 35 and 39 years, and 115 487 women (3.2%) were 40 years or older. Most women had Medicaid (42.8%) or private insurance (49.4%). Hawaii had the lowest adjusted prevalence of chronic hypertension (1.0%; 95% CI, 0.9%-1.2%), and Alaska had the highest (3.4%; 95% CI, 3.0%-3.9%). Massachusetts had the lowest adjusted prevalence of hypertensive disorders of pregnancy (4.3%; 95% CI, 4.1%-4.6%), and Louisiana had the highest (9.3%; 95% CI, 8.9%-9.8%). Delaware had the lowest adjusted prevalence of eclampsia (0.03%; 95% CI, 0.01%-0.09%), and Hawaii had the highest (2.8%; 95% CI, 2.2%-3.4%). The degree of statewide variation was high for eclampsia (MOR, 2.36; 95% CI, 1.88-2.82), indicating that the median odds of eclampsia were 2.4-fold higher if the same woman delivered in a US state with a higher vs lower prevalence of eclampsia. Modest variation between states was observed for chronic hypertension (MOR, 1.27; 95% CI, 1.20-1.33) and hypertensive disorders of pregnancy (MOR, 1.17; 95% CI, 1.13-1.21). Conclusions and Relevance The findings of this study suggest that after accounting for patient-level and state-level variables, substantial state-level variation exists in the prevalence of eclampsia. These data can inform future public-health inquiries to identify reasons for the eclampsia variability.

Based upon our recent insights into the determinants of preterm birth, which is the leading cause of death in children under five years of age worldwide, we describe potential analytic frameworks that provides both a common understanding and, ultimately the basis for effective, ameliorative action. Our research on preterm birth serves as an example that the framing of any human health condition is a result of complex interactions between the genome and the exposome. New discoveries of the basic biology of pregnancy, such as the complex immunological and signaling processes that dictate the health and length of gestation, have revealed a complexity in the interactions (current and ancestral) between genetic and environmental forces. Understanding of these relationships may help reduce disparities in preterm birth and guide productive research endeavors and ultimately, effective clinical and public health interventions.

Maternal morbidity continues to be an issue of national and global concern. Paternal preconception health may play a significant role in pregnancy outcomes and has received less attention than maternal health.This study aimed to examine the association between preconception paternal health and the risk for adverse maternal outcomes among healthy mothers.This was a retrospective analysis of live births from 2009 through 2016 to healthy women aged 20 to 45 years recorded in the IBM Marketscan research database. Infants were linked to paired mothers and fathers using family ID. Preconception paternal health was assessed using the number of metabolic syndrome component diagnoses and the most common individual chronic disease diagnoses (hypertension, diabetes mellitus, obesity, hyperlipidemia, chronic obstructive pulmonary disease, cancer, and depression). Women with metabolic syndrome components were excluded to avoid potential confounding of maternal and paternal factors. Adverse maternal outcomes that were assessed included (1) abnormal placentation including placenta accreta spectrum, placenta previa, and placental abruption; (2) preeclampsia with and without severe features including eclampsia; and (3) severe maternal morbidity, identified as any indicator from the Centers for Disease Control and Prevention Index of life-threatening complications at the time of delivery to 6 weeks postpartum. The trend between preconception paternal health and each maternal outcome was determined using the Cochran-Armitage Trend test. The independent association of paternal health with maternal outcomes was also determined using generalized estimating equations models, accounting for some mothers who contributed multiple births during the study period, and by adjusting for maternal age, paternal age, region of birth, year of birth, maternal smoking, and average number of outpatient visits per year.Among 669,256 births to healthy mothers, there was a significant trend between all adverse maternal outcomes and worsening preconception paternal health defined either as the number of metabolic syndrome diagnoses or number of chronic disease diagnoses (P.001; Cochran-Armitage Trend test). In the generalized estimating equations model, the odds for preeclampsia without severe features increased in a dose-dependent fashion and were 21% higher (95% confidence interval, 1.17-1.26) among women whose partners had ≥2 metabolic syndrome diagnoses than among women whose partners had no metabolic syndrome diagnosis. The odds for preeclampsia with severe features and eclampsia increased in a dose-dependent fashion and were 19% higher (95% confidence interval, 1.09-1.30) among women whose partners had ≥2 metabolic syndrome diagnoses than among women whose partners had no metabolic syndrome diagnosis. The odds for severe maternal morbidity were 9% higher (95% confidence interval, 1.002-1.19) among women whose partners had ≥2 metabolic syndrome diagnoses than among women whose partners had no metabolic syndrome diagnosis. The odds for abnormal placentation were similar between the groups (adjusted odds ratio, 0.96; 95% confidence interval, 0.89-1.03).Among healthy mothers, we report that preconception paternal health is significantly associated with increased odds of preeclampsia with and without severe features and weakly associated with increased odds of severe maternal morbidity. These findings suggest that paternally derived factors may play significant roles in the development of adverse maternal outcomes in healthy women with a low a priori risk of obstetrical complications.

Complications arising from hypertensive disorders of pregnancy are among the leading causes of preventable severe maternal morbidity and mortality. Timely and appropriate treatment has the potential to significantly reduce hypertension-related complications. To assist health care providers in achieving this goal, this patient safety bundle provides guidance to coordinate and standardize the care provided to women with severe hypertension during pregnancy and the postpartum period. This is one of several patient safety bundles developed by multidisciplinary work groups of the National Partnership for Maternal Safety under the guidance of the Council on Patient Safety in Women's Health Care. These safety bundles outline critical clinical practices that should be implemented in every maternity care setting. Similar to other bundles that have been developed and promoted by the Partnership, the hypertension safety bundle is organized into four domains: Readiness, Recognition and Prevention, Response, and Reporting and Systems Learning. Although the bundle components may be adapted to meet the resources available in individual facilities, standardization within an institution is strongly encouraged. This commentary provides information to assist with bundle implementation.

OBJECTIVE: To determine the rate, maternal characteristics, timing, and indicators of severe maternal morbidity (SMM) that occurs at postpartum readmission. STUDY DESIGN: Women with a birth in California during 2008–2012 were included in the analysis. Readmissions up to 42 days after delivery were investigated. SMM was defined as presence of any of the 21 indicators defined by ICD-9 codes. RESULTS: Among 2,413,943 women with a birth, SMM at readmission occurred in 4229 women. Of all SMM, 12.1% occurred at readmission. Over half (53.5%) of the readmissions with SMM occurred within the first week after delivery hospitalization. The most common indicators of SMM were blood transfusion, sepsis, and pulmonary edema/acute heart failure. CONCLUSION: Twelve percent of SMM was identified at readmission with the majority occurring within 1 week after discharge from delivery hospitalization. Because early readmission may reflect lack of discharge readiness, there may be opportunities to improve care.

OBJECTIVES To develop a machine-learning (ML) model for prediction of shoulder dystocia (ShD) and to externally validate the model's predictive accuracy and potential clinical efficacy in optimizing the use of Cesarean delivery in the context of suspected macrosomia. METHODS We used electronic health records (EHR) from the Sheba Medical Center in Israel to develop the model (derivation cohort) and EHR from the University of California San Francisco Medical Center to validate the model's accuracy and clinical efficacy (validation cohort). Subsequent to application of inclusion and exclusion criteria, the derivation cohort included 686 singleton vaginal deliveries, of which 131 were complicated by ShD, and the validation cohort included 2584 deliveries, of which 31 were complicated by ShD. For each of these deliveries, we collected maternal and neonatal delivery outcomes coupled with maternal demographics, obstetric clinical data and sonographic fetal biometry. Biometric measurements and their derived estimated fetal weight were adjusted (aEFW) according to gestational age at delivery. A ML pipeline was utilized to develop the model. RESULTS In the derivation cohort, the ML model provided significantly better prediction than did the current clinical paradigm based on fetal weight and maternal diabetes: using nested cross-validation, the area under the receiver-operating-characteristics curve (AUC) of the model was 0.793 ± 0.041, outperforming aEFW combined with diabetes (AUC = 0.745 ± 0.044, P = 1e-16 ). The following risk modifiers had a positive beta that was > 0.02, i.e. they increased the risk of ShD: aEFW (beta = 0.164), pregestational diabetes (beta = 0.047), prior ShD (beta = 0.04), female fetal sex (beta = 0.04) and adjusted abdominal circumference (beta = 0.03). The following risk modifiers had a negative beta that was

The aim of this study was to describe risks of systemic lupus erythematosus (SLE) in pregnancy and the importance of preconception counselling, medication optimization and close surveillance.Advances in care for pregnant patients with SLE have led to improved obstetric outcomes, but maternal and foetal risks continue to be elevated. Conception during periods of disease quiescence and continuation of most medications decrease adverse pregnancy outcomes. Hydroxychloroquine (HCQ) appears protective against flares in pregnancy, neonatal congenital heart block and preterm birth.SLE in pregnancy confers increased maternal and foetal risks, including disease flares, preeclampsia, preterm birth, foetal growth restriction, neonatal lupus erythematosus (NLE) and congenital heart block. Disease control on an effective medication regimen mitigates many of these risks, but pregnancy in women with SLE remains a high-risk condition requiring multidisciplinary care and an individualized approach to each patient.

Objective To identify single nucleotide polymorphisms (SNPs) associated with clinical chorioamnionitis among preterm infants. Study Design We reanalyzed a genome-wide association study (GWAS) from preterm newborns at less than 30 weeks' gestation. Cases and control definitions were determined using administrative records. There were 213 clinical chorioamnionitis cases and 707 clinically uninfected controls. We compared demographic and clinical outcomes of cases and controls. We performed a GWAS and compared the distribution of SNPs from the background genes and from the immunome genes. We used a Wilcoxon's rank-sum test to compare the SNPs normalized odds ratio and used odds ratios and p-values to determine candidate genes. Results Infants affected by clinical chorioamnionitis were more likely to have periventricular leukomalacia, high-grade retinopathy, and high-grade intraventricular hemorrhage (IVH). Although a GWAS did not identify SNPs associated with clinical chorioamnionitis at the genome-wide significance level, a direct test on the exonic variants in the human immunome revealed their significant increase of risk in clinical chorioamnionitis. Conclusion Among very preterm infants, clinical chorioamnionitis was associated with periventricular leukomalacia, high-grade retinopathy, and IVH. Our analysis of variants in the human immunome indicates an association with clinical chorioamnionitis in very preterm pregnancies.

To understand the disparities in spontaneous preterm birth (sPTB) and/or its outcomes, biologic and social determinants as well as healthcare practice (such as those in neonatal intensive care units) should be considered. Disparities in sPTB have been largely intractable and remain obscure in most cases, despite a myriad of identified risk factors for and causes of sPTB. We still do not know how they lead to the different outcomes at different gestational ages and if they are independent of NICU practices. Here we describe an integrated approach to study the interplay between the genome and exposome, which may drive biochemistry and physiology and lead to health disparities.

Patients who present with brain tumors during pregnancy require unique imaging and neurosurgical, obstetrical, and anesthetic considerations. Here, we review the literature and discuss the management of patients who present with brain tumors during pregnancy. Between 2009 and 2019, 9 patients were diagnosed at our institution with brain tumors during pregnancy. Clinical information was extracted from the electronic medical records. The median age at presentation was 29 years (range, 25-38 years). The most common symptoms at presentation included headache (n=5), visual changes (n=4), hemiparesis (n=3), and seizures (n=3). The median gestational age at presentation was 20.5 weeks (range, 11-37 weeks). Of note, 8 patients (89%) delivered healthy newborns, and 1 patient terminated her pregnancy. In addition, 5 patients (56%) required neurosurgical procedures during pregnancy (gestational ages, 14-37 weeks) because of disease progression (n=2) or neurologic instability (n=3). There was 1 episode of postneurosurgery morbidity (pulmonary embolism [PE]) and no surgical maternal mortality. The median length of follow-up was 15 months (range, 6-45 months). In cases demonstrating unstable or progressive neurosurgical status past the point of fetal viability, neurosurgical intervention should be considered. The physiological and pharmacodynamic changes of pregnancy substantially affect anesthetic management. Pregnancy termination should be discussed and offered to the patient when aggressive disease necessitates immediate treatment and the fetal gestational age remains previable, although neurologically stable patients may be able to continue the pregnancy to term. Ultimately, pregnant patients with brain tumors require an individualized approach to their care under the guidance of a multidisciplinary team.

Objective To assess frequency of very low birth weight (VLBW) births at non-level III hospitals. Study design Retrospective cohort study using linked California birth certificate and discharge data of 2008 to 2010 for deliveries of singleton or first-born infant of multiple gestations with birth weight 400 to 1500 g. Delivery rates by neonatal level of care were obtained. Risk of delivery at non-level III centers was estimated in univariable and multivariable models. Results Of the 1 508 143 births, 13 919 (9.2%) were VLBW; birth rate at non-level III centers was 14.9% (8.4% in level I and 6.5% in level II). Median rate of VLBW births was 0.3% (range 0 to 4.7%) annually at level I and 0.5% (range 0 to 1.6%) at level II hospitals. Antepartum stay for >24 h occurred in 14.0% and 26.9% of VLBW births in level I and level II hospitals, respectively. Conclusion Further improvement is possible in reducing VLBW infant delivery at suboptimal sites, given the window of opportunity for many patients.

Introduction Gorham–Stout Disease (GSD) is a rare disorder of bony destruction due to lymphangiomatosis, and is often triggered by hormones. One complication of GSD is the development of chylothorax, which carries a high mortality rate. Very little experience has been published to guide management in GSD during pregnancy to optimize both fetal and maternal health. Case Study A 20-year-old woman with known GSD presented with shortness of breath at 18 weeks of pregnancy, due to bilateral chylothoraces which required daily drainage. To minimize chylous fluid formation, she was placed on bowel rest with total parenteral nutrition (limiting lipid intake) and received octreotide to decrease splanchnic blood flow and chylous fluid drainage. Treatment options were limited due to her pregnancy. Twice daily home chest tube drainage of a single lung cavity, total parenteral nutrition, octreotide, and albumin infusions allowed successful delivery of a healthy 37 weeks' gestation infant by cesarean delivery. Discussion This case illustrates the management of a rare clinical disease of bone resorption and lymphangiomatosis complicated by bilateral, refractory chylothoraces, triggered by pregnancy, in whom treatment options are limited, and the need for a multidisciplinary health care team to ensure successful maternal and fetal outcomes.

Objective Women with systemic lupus erythematosus (SLE) are at a greater risk of preterm delivery, many of which may be medically indicated (iatrogenic). We investigated preterm delivery phenotypes in SLE and general population comparators and assessed the role of preeclampsia. Study Design We used population-based Swedish Register data (2001–2013) and defined maternal SLE as ≥2 SLE-coded discharge diagnoses from the Patient Register with ≥1 coded by an appropriate specialist. Women from the general population were identified using the Total Population Register. Preterm delivery was defined as Results Preterm delivery was more common in SLE for the first (22 vs. 6%) and subsequent (15 vs. 4%) pregnancies among 781 SLE-exposed pregnancies and 11,271 non-SLE pregnancies. Of SLE-exposed first births, 27% delivered before 32 weeks, and 90% were iatrogenic (compared with 47% of non-SLE first births). Conclusion Preterm delivery complicates a greater proportion of SLE pregnancies than general population pregnancies, and a considerable proportion of risk is mediated through preeclampsia.

Objective Shorter maternal height has been associated with preeclampsia risk in several populations. It has been less evident whether an independent contribution to the risk exists from maternal height consistently across different races/ethnicities. We investigated associations between maternal height and risk of preeclampsia for different races/ethnicities. Study Design California singleton live births from 2007 to 2011 were analyzed. Logistic regression was used to estimate adjusted odds ratios for the association between height and preeclampsia after stratification by race/ethnicity. To determine the contribution of height that is as independent of body composition as possible, we performed one analysis adjusted for body mass index (BMI) and the other for weight. Additional analyses were performed stratified by parity, and the presence of preexisting/gestational diabetes and autoimmune conditions. Results Among 2,138,012 deliveries, 3.1% preeclampsia/eclampsia cases were observed. The analysis, adjusted for prepregnancy weight, revealed an inverse relation between maternal height and risk of mild and severe preeclampsia/eclampsia. When the analysis was adjusted for BMI, an inverse relation between maternal height was observed for severe preeclampsia/eclampsia. These associations were observed for each race/ethnicity. Conclusion Using a large and diverse cohort, we demonstrated that shorter height, irrespective of prepregnancy weight or BMI, is associated with an increased risk of severe preeclampsia/eclampsia across different races/ethnicities.

Congenital heart disease comprises most maternal cardiac diseases in pregnancy and is an important cause of maternal, fetal, and neonatal morbidity and mortality worldwide. Pregnancy is often considered a high-risk state for individuals with structural heart disease as a consequence of a limited ability to adapt to the major hemodynamic changes associated with pregnancy. Preconception counseling and evaluation are of utmost importance, as pregnancy is contraindicated in certain cardiac conditions. Pregnancy can be safely accomplished in most individuals with careful risk assessment before conception and multidisciplinary care throughout pregnancy and the postpartum period.

To examine associations with morbidly adherent placenta (MAP) among women with placenta previa.Women with MAP (cases) and previa alone (controls) were identified from a cohort of 236,714 singleton pregnancies with both first and second trimester prenatal screening, and live birth and hospital discharge records; pregnancies with aneuploidies and neural tube or abdominal wall defects were excluded. Logistic binomial regression was used to compare cases with controls.In all, 37 cases with MAP and 699 controls with previa alone were included. Risk for MAP was increased among multiparous women with pregnancy-associated plasma protein-A (PAPP-A) ⩾95th percentile (⩾2.63 multiple of the median (MoM); adjusted OR (aOR) 8.7, 95% confidence interval (CI) 2.8 to 27.4), maternal-serum alpha fetoprotein (MS-AFP) ⩾95th percentile (⩾1.79 MoM; aOR 2.8, 95% CI 1.0 to 8.0), and 1 and ⩾2 prior cesarean deliveries (CDs; aORs 4.4, 95% CI 1.5 to 13.6 and 18.4, 95% CI 5.9 to 57.5, respectively).Elevated PAPP-A, elevated MS-AFP and prior CDs are associated with MAP among women with previa.

Background Early detection of maladaptive processes underlying pregnancy-related pathologies is desirable because it will enable targeted interventions ahead of clinical manifestations. The quantitative analysis of plasma proteins features prominently among molecular approaches used to detect deviations from normal pregnancy. However, derivation of proteomic signatures sufficiently predictive of pregnancy-related outcomes has been challenging. An important obstacle hindering such efforts were limitations in assay technology, which prevented the broad examination of the plasma proteome. Objective The recent availability of a highly multiplexed platform affording the simultaneous measurement of 1310 plasma proteins opens the door for a more explorative approach. The major aim of this study was to examine whether analysis of plasma collected during gestation of term pregnancy would allow identifying a set of proteins that tightly track gestational age. Establishing precisely timed plasma proteomic changes during term pregnancy is a critical step in identifying deviations from regular patterns caused by fetal and maternal maladaptations. A second aim was to gain insight into functional attributes of identified proteins and link such attributes to relevant immunological changes. Study Design Pregnant women participated in this longitudinal study. In 2 subsequent sets of 21 (training cohort) and 10 (validation cohort) women, specific blood specimens were collected during the first (7–14 weeks), second (15–20 weeks), and third (24–32 weeks) trimesters and 6 weeks postpartum for analysis with a highly multiplexed aptamer-based platform. An elastic net algorithm was applied to infer a proteomic model predicting gestational age. A bootstrapping procedure and piecewise regression analysis was used to extract the minimum number of proteins required for predicting gestational age without compromising predictive power. Gene ontology analysis was applied to infer enrichment of molecular functions among proteins included in the proteomic model. Changes in abundance of proteins with such functions were linked to immune features predictive of gestational age at the time of sampling in pregnancies delivering at term. Results An independently validated model consisting of 74 proteins strongly predicted gestational age (P = 3.8 × 10–14, R = 0.97). The model could be reduced to 8 proteins without losing its predictive power (P = 1.7 × 10–3, R = 0.91). The 3 top ranked proteins were glypican 3, chorionic somatomammotropin hormone, and granulins. Proteins activating the Janus kinase and signal transducer and activator of transcription pathway were enriched in the proteomic model, chorionic somatomammotropin hormone being the top-ranked protein. Abundance of chorionic somatomammotropin hormone strongly correlated with signal transducer and activator of transcription-5 signaling activity in CD4 T cells, the endogenous cell-signaling event most predictive of gestational age. Conclusion Results indicate that precisely timed changes in the plasma proteome during term pregnancy mirror a proteomic clock. Importantly, the combined use of several plasma proteins was required for accurate prediction. The exciting promise of such a clock is that deviations from its regular chronological profile may assist in the early diagnoses of pregnancy-related pathologies, and point to underlying pathophysiology. Functional analysis of the proteomic model generated the novel hypothesis that chrionic somatomammotropin hormone may critically regulate T-cell function during pregnancy.

Preterm birth (PTB) is the leading cause of neonatal morbidity and mortality. Previous studies have suggested that the maternal vaginal microbiota contributes to the pathophysiology of PTB, but conflicting results in recent years have raised doubts. We conducted a study of PTB compared with term birth in two cohorts of pregnant women: one predominantly Caucasian (n = 39) at low risk for PTB, the second predominantly African American and at high-risk (n = 96). We profiled the taxonomic composition of 2,179 vaginal swabs collected prospectively and weekly during gestation using 16S rRNA gene sequencing. Previously proposed associations between PTB and lower Lactobacillus and higher Gardnerella abundances replicated in the low-risk cohort, but not in the high-risk cohort. High-resolution bioinformatics enabled taxonomic assignment to the species and subspecies levels, revealing that Lactobacillus crispatus was associated with low risk of PTB in both cohorts, while Lactobacillus iners was not, and that a subspecies clade of Gardnerella vaginalis explained the genus association with PTB. Patterns of cooccurrence between L. crispatus and Gardnerella were highly exclusive, while Gardnerella and L. iners often coexisted at high frequencies. We argue that the vaginal microbiota is better represented by the quantitative frequencies of these key taxa than by classifying communities into five community state types. Our findings extend and corroborate the association between the vaginal microbiota and PTB, demonstrate the benefits of high-resolution statistical bioinformatics in clinical microbiome studies, and suggest that previous conflicting results may reflect the different risk profile of women of black race.

The maintenance of pregnancy relies on finely tuned immune adaptations. We demonstrate that these adaptations are precisely timed, reflecting an immune clock of pregnancy in women delivering at term. Using mass cytometry, the abundance and functional responses of all major immune cell subsets were quantified in serial blood samples collected throughout pregnancy. Cell signaling-based Elastic Net, a regularized regression method adapted from the elastic net algorithm, was developed to infer and prospectively validate a predictive model of interrelated immune events that accurately captures the chronology of pregnancy. Model components highlighted existing knowledge and revealed previously unreported biology, including a critical role for the interleukin-2-dependent STAT5ab signaling pathway in modulating T cell function during pregnancy. These findings unravel the precise timing of immunological events occurring during a term pregnancy and provide the analytical framework to identify immunological deviations implicated in pregnancy-related pathologies.

There is strong evidence that overproduction of soluble fms-like tyrosine kinase-1 (sFLT1) in the placenta is a major cause of vascular dysfunction in preeclampsia through sFLT1-dependent antagonism of VEGF. However, the cause of placental sFLT1 upregulation is not known. Here we demonstrated that in women with preeclampsia, sFLT1 is upregulated in placental trophoblasts, while VEGF is upregulated in adjacent maternal decidual cells. In response to VEGF, expression of sFlt1 mRNA, but not full-length Flt1 mRNA, increased in cultured murine trophoblast stem cells. We developed a method for transgene expression specifically in mouse endometrium and found that endometrial-specific VEGF overexpression induced placental sFLT1 production and elevated sFLT1 levels in maternal serum. This led to pregnancy losses, placental vascular defects, and preeclampsia-like symptoms, including hypertension, proteinuria, and glomerular endotheliosis in the mother. Knockdown of placental sFlt1 with a trophoblast-specific transgene caused placental vascular changes that were consistent with excess VEGF activity. Moreover, sFlt1 knockdown in VEGF-overexpressing animals enhanced symptoms produced by VEGF overexpression alone. These findings indicate that sFLT1 plays an essential role in maintaining vascular integrity in the placenta by sequestering excess maternal VEGF and suggest that a local increase in VEGF can trigger placental overexpression of sFLT1, potentially contributing to the development of preeclampsia and other pregnancy complications.

Molecular understanding of placental functions and pregnancy disorders is limited by the absence of methods for placenta-specific gene manipulation. Although persistent placenta-specific gene expression has been achieved by lentivirus-based gene delivery methods, developmentally and physiologically important placental genes have highly stage-specific functions, requiring controllable, transient expression systems for functional analysis. Here, we describe an inducible, placenta-specific gene expression system that enables high-level, transient transgene expression and monitoring of gene expression by live bioluminescence imaging in mouse placenta at different stages of pregnancy. We used the third generation tetracycline-responsive tranactivator protein Tet-On 3G, with 10- to 100-fold increased sensitivity to doxycycline (Dox) compared with previous versions, enabling unusually sensitive on-off control of gene expression in vivo. Transgenic mice expressing Tet-On 3G were created using a new integrase-based, site-specific approach, yielding high-level transgene expression driven by a ubiquitous promoter. Blastocysts from these mice were transduced with the Tet-On 3G-response element promoter-driving firefly luciferase using lentivirus-mediated placenta-specific gene delivery and transferred into wild-type pseudopregnant recipients for placenta-specific, Dox-inducible gene expression. Systemic Dox administration at various time points during pregnancy led to transient, placenta-specific firefly luciferase expression as early as d 5 of pregnancy in a Dox dose-dependent manner. This system enables, for the first time, reliable pregnancy stage-specific induction of gene expression in the placenta and live monitoring of gene expression during pregnancy. It will be widely applicable to studies of both placental development and pregnancy, and the site-specific Tet-On G3 mouse will be valuable for studies in a broad range of tissues.

The death of a woman during pregnancy is devastating. Although the incidence of maternal cardiac arrest is increasing, it continues to be a comparatively rare event. Obstetric healthcare providers may go through their entire career without participating in a maternal cardiac resuscitation. Concern has been raised that when an arrest does occur in the obstetric unit, providers who are trained in life support skills at 2-year intervals are ill equipped to provide the best possible care. The quality of resuscitation skills provided during cardiopulmonary arrest of inpatients often may be poor, and knowledge of critical steps to be followed during resuscitation may not be retained after life support training. The Obstetric Life Support (ObLS) training program is a method of obstetric nursing and medical staff training that is relevant, comprehensive, and cost-effective. It takes into consideration both the care needs of the obstetric patient and the adult learning needs of providers. The ObLS program brings obstetric nurses, obstetricians, and anesthesiologists together in multidisciplinary team training that is crucial to developing efficient emergency response.

Objective Relaxin, a potent pregnancy-related hormone, has been proposed to be a major mediator of renal physiology in normal pregnancy. We wished to test relaxin levels in pregnancy and preeclampsia. Methods We performed precise physiologic measurements of kidney function in 38 normal peripartum women and 58 women with preeclampsia. We measured serum relaxin levels prior to delivery and over the first 4 postpartum weeks utilizing a modern, validated ELISA. Results were compared to those of 18 normal women of childbearing age. Results Relaxin levels were substantially elevated in women prior to delivery (364 ± 268 vs. 15 ± 16 pg/ml) and fell rapidly over the first postpartum week reaching normal non pregnant levels by Week 2 (32 ± 64 vs. 15 ± 16 pg/ml). No differences were seen between relaxin levels in normal pregnancy as compared to preeclampsia (364 ± 268 vs. 376 ± 241 pg/ml) despite substantial and persistent abnormalities in GFR (149 ± 33 vs. 89 ± 25 ml/min), albuminuria (14 vs. 687 mg/g) and mean arterial pressure (80 ± 8 vs. 111 ± 18). Furthermore no correlation could be established between physiologic measures (GFR, MAP, RBF, RVR) and relaxin levels (p > 0.3), either in the overall population or any of the subgroups. Conclusion Relaxin is indeed significantly elevated in the serum of women during late pregnancy and the early puerperium. However, serum relaxin does not appear to influence BP, renal vascular resistance, renal blood flow or GFR in late pregnancy or in women with preeclampsia.

Background There are few data regarding safety of pregnancy after uterine artery embolization. However, numerous women desire future fertility after this procedure. Uterine rupture without a history of cesarean delivery or uterine scarring is an exceedingly rare complication in pregnancy. Case We report a case of uterine rupture in a primigravid woman after uterine artery embolization. Her pregnancy was also complicated by placenta previa with placenta increta, resulting in a favorable neonatal outcome in an otherwise life-threatening situation for mother and fetus. Conclusion Uterine artery embolization is a risk factor for abnormal placentation and uterine rupture in subsequent pregnancies.

The objective of this study was to determine whether simulation was more effective than traditional didactic instruction to train crisis management skills to labor and delivery teams.Participants were nurses and obstetric residents (5 years experience). Both groups were taught management for shoulder dystocia and eclampsia. The simulation group received 3 hours of training in a simulation laboratory, the didactic group received 3 hours of lectures/video and hands-on demonstration. Subjects completed a multiple-choice questionnaire before training and before testing. After 1 month, all teams underwent performance testing as a labor and delivery drill. All drills were video recorded. Team performances were scored by a blinded reviewer using the video recordings and an expert-developed checklist. The data were analyzed using independent samples Student t test and analysis of variance (one way). P value ofor =0.05 was considered to be statistically significant.There was no statistical difference found between the groups on the pretraining and pretesting multiple-choice questionnaire scores. Performance testing performed as a labor and delivery drill showed statistically significant higher scores for the simulation-trained group for both shoulder dystocia (Sim = 11.75, Did = 6.88, P = 0.002) and eclampsia management (Sim = 13.25, Did = 11.38, P = 0.032).In an academic training program, didactic and simulation-trained groups showed equal results on written test scores. Simulation-trained teams had superior performance scores when tested in a labor and delivery drill. Simulation should be used to enhance obstetrical emergency training in resident education.

Orthotopic liver transplantation (OLT) for acute liver failure (ALF) during pregnancy is an uncommon occurrence with variable outcomes. In pregnancy-related liver failure, prompt diagnosis and immediate delivery are essential for a reversal of the underlying process and for maternal and fetal survival. In rare cases, the reason for ALF during pregnancy is either unknown or irreversible, and thus OLT may be necessary. This case demonstrates the development of cryptogenic ALF during the 26th week of pregnancy in a woman with sickle cell disease. She underwent successful cesarean delivery of a healthy male fetus at 27 weeks with concurrent OLT. This report provides a literature review of OLT in pregnancy and examines the common causes of ALF in the pregnant patient. On the basis of the management and outcome of our case and the literature review, we present an algorithm for the suggested management of ALF in pregnancy.

Obstetric crises are unexpected and random. Traditionally, medical training for these acute events has included lectures combined with arbitrary clinical experiences. This educational paradigm has inherent limitations. During actual crises insufficient time exists for discussion and analysis of patient care. Our objective was to create a simulation program to fill this experiential gap.Ten LD teams participated in high fidelity simulation training. A team consisted of two or three nurses, one anesthesia resident and one or two obstetric residents. Each team participated in two scenarios; epidural-induced hypotension followed by an amniotic fluid embolism. Each simulation was followed by a facilitated debriefing. All simulations were videotaped. Clinical performances of the obstetric residents were graded by two reviewers using the videotapes and a faculty-developed checklist. Recurrent errors were analyzed and graded using Health Failure Modes Effects Analysis. All team members completed a course evaluation.Performance deficiencies of the obstetric residents were identified by an expert team of reviewers. From this list of errors, the "most valuable lessons" requiring further focused teaching were identified and included 1) Poor communication with the pediatric team, 2) Not assuming a leadership role during the code, 3) Poor distribution of workload, and 4) Lack of proper use of low/outlet forceps. Participants reported the simulation course allowed them to learn new skills needed by teams during a crisis.Simulated obstetric crises training offers the opportunity for educators to identify specific performance deficits of their residents and the subsequent development of teaching modules to address these weaknesses.