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Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. This work used multiomic profiling and multivariate modeling to investigate the biological signatures of these characteristics. Maternal covariates were collected during pregnancy from 13,841 pregnant women across five sites. Plasma samples from 231 participants were analyzed to generate proteomic, metabolomic, and lipidomic datasets. Machine learning models showed robust performance for the prediction of PTB (AUROC = 0.70), time-to-delivery ( r = 0.65), maternal age ( r = 0.59), gravidity ( r = 0.56), and BMI ( r = 0.81). Time-to-delivery biological correlates included fetal-associated proteins (e.g., ALPP, AFP, and PGF) and immune proteins (e.g., PD-L1, CCL28, and LIFR). Maternal age negatively correlated with collagen COL9A1, gravidity with endothelial NOS and inflammatory chemokine CXCL13, and BMI with leptin and structural protein FABP4. These results provide an integrated view of epidemiological factors associated with PTB and identify biological signatures of clinical covariates affecting this disease.

Objective The frequency of intrahepatic cholestasis of pregnancy (ICP) peaks during the third trimester of pregnancy when plasma progesterone levels are the highest. Furthermore, twin pregnancies are characterized by higher progesterone levels than singletons and have a higher frequency of cholestasis. Therefore, we hypothesized that exogenous progestogens administered for reducing the risk of spontaneous preterm birth may increase the risk of cholestasis. Utilizing the large IBM MarketScan Commercial Claims and Encounters Database, we investigated the frequency of cholestasis in patients treated with vaginal progesterone or intramuscular 17α-hydroxyprogesterone caproate for the prevention of preterm birth. Study Design We identified 1,776,092 live-born singleton pregnancies between 2010 and 2014. We confirmed second and third trimester administration of progestogens by cross-referencing the dates of progesterone prescriptions with the dates of scheduled pregnancy events such as nuchal translucency scan, fetal anatomy scan, glucose challenge test, and Tdap vaccination. We excluded pregnancies with missing data regarding timing of scheduled pregnancy events or progesterone treatment prescribed only during the first trimester. Cholestasis of pregnancy was identified based on prescriptions for ursodeoxycholic acid. We used multivariable logistic regression to estimate adjusted (for maternal age) odds ratios for cholestasis in patients treated with vaginal progesterone, and in patients treated with 17α-hydroxyprogesterone caproate compared with those not treated with any type of progestogen (the reference group). Results The final cohort consisted of 870,599 pregnancies. Among patients treated with vaginal progesterone during the second and third trimester, the frequency of cholestasis was significantly higher than the reference group (0.75 vs. 0.23%, adjusted odds ratio [aOR]: 3.16, 95% confidence interval [CI]: 2.23–4.49). In contrast, there was no significant association between 17α-hydroxyprogesterone caproate and cholestasis (0.27%, aOR: 1.12, 95% CI: 0.58–2.16) Conclusion Using a robust dataset, we observed that vaginal progesterone but not intramuscular 17α-hydroxyprogesterone caproate was associated with an increased risk for ICP. Key Points

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 care1–4. Here we used 404 blood samples from 199 pregnant mothers to identify and validate cfRNA transcriptomic changes that are associated with preeclampsia, a multi-organ syndrome that is the second largest cause of maternal death globally5. We find that changes in cfRNA gene expression between normotensive and preeclamptic mothers are marked 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 key aspects of preeclampsia physiology6–9, suggest new hypotheses for disease progression and correlate with maternal organ health. This enabled the identification and independent validation of a panel of 18 genes that when measured between 5 and 16 weeks of gestation can form the basis of a liquid biopsy test that would identify mothers at risk of preeclampsia long before clinical symptoms manifest themselves. Tests based on these observations could help predict and manage who is at risk for preeclampsia—an important objective for obstetric care10,11.

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.

Our objective is to examine severe maternal morbidity (SMM) and patterns of antihypertensive medication use before and during pregnancy among individuals with chronic hypertension. We examined 11,759 pregnancies resulting in a live birth or stillbirth to individuals with chronic hypertension and one or more antihypertensive prescription 6 months before pregnancy (Optum, 2007-17). We examined whether study outcomes were associated with the use of medication as compared to no use during pregnancy. In addition, patterns of medication use based on the Food and Drug Administration guidance and literature were evaluated. Medication use was divided into prepregnancy and during pregnancy use and classified as pregnancy recommended (PR) or not pregnancy recommended (nPR) or no medication use. SMM was defined per the Centers for Disease Control and Prevention definition of 21 indicators. Risk ratios (RR) reflecting the association of SMM with the use of antihypertensive medications were computed using modified Poisson regression with robust standard errors and adjusted for maternal age, education, and birth year. Overall, 83% of individuals filled an antihypertensive prescription during pregnancy and 6.3% experienced SMM. The majority of individuals with a prescription prior to pregnancy had a prescription for the same medication in pregnancy. Individuals with any versus no medication use in pregnancy had increased adjusted RR (aRR) of SMM (1.18, 95% confidence interval [CI]: 0.96-1.44). Compared to the use of PR medications before and during pregnancy, aRRs were 1.42 (95% CI: 1.18-1.69, 12.4% of sample) for nPR use before and during pregnancy, 1.52 (1.23-1.86; 12.4%) for nPR (before) and PR (during) use, and 2.67 (1.73-4.15) for PR and nPR use. Patterns with no medication use during pregnancy were not statistically significant. Pattern of antihypertensive medication use before and during pregnancy may be associated with an elevated risk of SMM. Further research is required to elucidate whether this association is related to the severity of hypertension, medication effectiveness, or suboptimal quality of care.· Individuals with any medication use compared to no medication use in pregnancy had an increased risk of SMM.. · Specific medication use patterns were associated with an elevated risk of SMM.. · Pattern of antihypertensive medication use before and during pregnancy may be associated with an increased risk of SMM..

OBJECTIVE The study aimed to describe preterm birth (PTB) rates, subtypes, and risk factors in twins compared with singletons to better understand reasons for the decline in PTB rate between 2007 and 2011. STUDY DESIGN This was a retrospective population-based analysis using the California linked birth certificates and maternal-infant hospital discharge records from 2007 to 2011. The main outcomes were overall, spontaneous (following spontaneous labor or preterm premature rupture of membranes), and medically indicated PTB at various gestational age categories

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.

Understanding the role of stress in pregnancy and its consequences is important, particularly given documented associations between maternal stress and preterm birth and other pathological outcomes. Physical and psychological stressors can elicit the same biological responses, known as biological strain. Chronic stressors, like poverty and racism (race-based discriminatory treatment), may create a legacy or trajectory of biological strain that no amount of coping can relieve in the absence of larger-scale socio-behavioral or societal changes. An integrative approach that takes into consideration simultaneously social and biological determinants of stress may provide the best insights into the risk of preterm birth. The most successful computational approaches and the most predictive machine-learning models are likely to be those that combine information about the stressors and the biological strain (for example, as measured by different omics) experienced during pregnancy.

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.

Author(s): Wise, Paul H; Shaw, Gary M; Druzin, Maurice L; Darmstadt, Gary L; Quaintance, Cecele; Makinen, Elina; Relman, David A; Quake, Stephen R; Butte, Atul J; Angst, Martin S; Muglia, Louis J; Macones, George; Driscoll, Deborah; Ober, Carole; Simpson, Joe Leigh; Katz, Michael; Howse, Jennifer; Stevenson, David K

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.

* Abbreviations: ACOG, : American College of Obstetricians and Gynecologists AWHONN, : Association of Women's Health, Obstetric and Neonatal Nurses EFM, : electronic fetal monitoring FHR, : fetal heart rate IUPC, : intrauterine pressure catheter NICHD, : National Institute of Child Health and Human Development OR, : operating room TOLAC, : trial-of-labor-after-cesarean VABC, : vaginal birth after cesarean Electronic fetal monitoring (EFM) is a popular technology used to establish fetal well-being. Despite its widespread use, the terminology used to describe patterns seen on the monitor has not been consistent until recently. In 1997, the National Institute of Child Health and Human Development (NICHD) Research Planning Workshop published guidelines for interpretation of fetal tracings. This publication was the culmination of 2 years of work by a panel of experts in the field of fetal monitoring, and was endorsed in 2005 by both the American College of Obstetricians and Gynecologists (ACOG) and the Association of Women’s Health, Obstetric and Neonatal Nurses (AWHONN). In 2008, ACOG, NICHD, and the Society for Maternal-Fetal Medicine reviewed and updated the definitions for fetal heart rate patterns, interpretation, and research recommendations. Following is a summary of the terminology definitions and assumptions found in the 2008 NICHD workshop report. Normal values for arterial umbilical cord gas values and indications of acidosis are defined in Table 1. View this table: Table 1. Arterial Umbilical Cord Gas Values ### Assumptions from the NICHD Workshop ### Baseline Fetal Heart Rate

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.