Severe Maternal Morbidity Research Articles

Neighborhood-level Fatal Police Violence and Severe Maternal Morbidity in California.

Police violence is a pervasive issue that may have adverse implications for severe maternal morbidity (SMM). We assessed how the occurrence of fatal police violence (FPV) in one's neighborhood before/during pregnancy may influence SMM risk. Hospital discharge records from California between 2002-2018 were linked with the Fatal Encounters database (N=2,608,682). We identified 2,184 neighborhoods (census-tracts) with at least one FPV incident during the study period and used neighborhood fixed-effects models adjusting for individual sociodemographic characteristics to estimate odds of SMM associated with experiencing FPV in one's neighborhood anytime within the 24-months before childbirth. We did not find conclusive evidence on the link between FPV occurrence before delivery and SMM. However, estimates show that birthing people residing in neighborhoods where one or more FPV events had occurred within the preceding 24-months of giving birth may have a mildly elevated odds of SMM than those residing in the same neighborhoods with no FPV occurrence during the 24-months preceding childbirth (Odds Ratio (OR)=1.02; 95% Confidence Interval (CI): 0.99-1.05), particularly among those living in neighborhoods with fewer (1-2) FPV incidents throughout the study period (OR=1.03; 95% CI:1.00-1.06). Our findings provide evidence for the need to continue to examine the health consequences of police violence.

"We don't really address the trauma": Patients' Perspectives on Postpartum Care Needs after Severe Maternal Morbidities.

This qualitative study explored experiences of 15 women in New York City who suffered physical, emotional, and socioeconomic consequences of severe maternal morbidity (SMM). This study aimed to increase our understanding of additional burdens these mothers faced during the postpartum period. Qualitative analysis of in-depth interviews (n = 15) with women who had given birth in NYC hospitals and experienced SMM. We focused on how experiences of SMM impacted postpartum recoveries. Grounded theory methodology informed analysis of participants' one-on-one interviews. To understand the comprehensive experience of postpartum recovery after SMM, we drew on theories about social stigma, reproductive equity, and quality of care to shape constant-comparative analysis and data interpretation. Three themes were generated from data analysis: 'Caring for my body' defined by challenges during physical recuperation, 'caring for my emotions' which highlighted navigation of mental health recovery, and 'caring for others' defined by care work of infants and other children. Most participants identified as Black, Latinx and/or people of color, and reported the immense impacts of SMM across aspects of their lives while receiving limited access to resources and insufficient support from family and/or healthcare providers in addressing postpartum challenges. Findings confirm the importance of developing a comprehensive trauma-informed approaches to postpartum care as a means of addressing SMM consequences.

Perinatal Care for Persons with Dissociative Disorders.

Caring for persons with mental health diagnoses can be daunting, especially when the conditions are rare, and there is little evidence to guide nursing practice. There is minimal information about caring for persons with dissociative disorders beyond the behavioral health literature, much less as in obstetric context. Women are more likely to experience dissociative disorders and post-traumatic stress disorders than men. Severe maternal morbidity is significantly more common in women with a history of stress and trauma-related conditions, highlighting the importance of providing guidance for clinicians caring for them. It is imperative that nurses caring for women who may dissociate understand the complexities of the disorders and advocate for early, interdisciplinary care. Dissociative disorders, including dissociative identity disorder, post-traumatic stress disorder with dissociation, dissociative amnesia, depersonalization-derealization disorder, other specified dissociative disorders, and the care of pregnant persons with these conditions are presented.

Endometriosis, Severe Maternal Morbidity, and the Effect of Infertility: Population-Based Cohort Study

This population-based cohort evaluated the association between endometriosis and severe maternal morbidity (SMM), and the mediating effect of infertility and fertility treatment. Included were all singleton deliveries in Ontario between 2006 and 2014. Modified Poisson regression generated adjusted relative risks. Mediation analysis estimated the direct effect of endometriosis and indirect effect through infertility and mode of conception. 787 449 deliveries were included (19 099, 2.4% with endometriosis). SMM occurred in 29.0 per 1000 deliveries among women with endometriosis, in contrast to 18.2 per 1000 deliveries among those without endometriosis—corresponding to an adjusted relative risk of SMM of 1.43 (95% CI 1.31–1.56). Mediation analysis demonstrated that the effect of endometriosis on SMM was independent of infertility or fertility treatment. We conclude that SMM in women with endometriosis appears to be due to the disease itself and not to infertility or related treatments.

Obstetric outcomes of women with congenital uterine anomalies in the United States

BackgroundDue to the rarity, congenital uterine anomaly type-specific evaluation of pregnant women has been relatively understudied. ObjectiveTo describe national-level obstetric outcomes in women with congenital uterine anomalies. Study DesignThis cross-sectional study queried the Healthcare Cost and Utilization Project's Nationwide Inpatient Sample. Pregnant women with diagnosis of congenital uterine anomalies who had hospital delivery between 2016 and 2019 were examined. The World Health Organization's International Classification of Disease, 10th revision coding was used to delineate type of congenital uterine anomaly, diagnoses, and procedures performed during the index admission. Primary outcomes included pregnancy outcome, which was classified as full-term live birth, preterm live birth, abortion/stillbirth, or ectopic pregnancy. Secondary outcomes included obstetric comorbidities and severe maternal morbidity, which were compared between different subtypes of congenital uterine anomalies with multivariable logistic regression model. ResultsA total of 50,180 pregnant women with congenital uterine anomalies were identified. Bicornuate was the most common subtype (73.5%), followed by arcuate (13.5%) and unicornuate (10.0%). 70.6% of women with congenital uterine anomalies had a full-term live birth, 26.8% had a preterm live birth, 2.1% had an abortion or stillbirth, and 0.4% had an ectopic pregnancy. 61.8% of preterm births occurred between 33 and 36 weeks, 16.9% between 30 and 32 weeks, and 21.3% at <30 weeks. There were 1,440 (2.9%) periviable births. The preterm (34.5%) and periviable (6.9%) birth rates were highest in the uterine didelphys group. Overall, two-thirds (65.7%) of patients with congenital uterine anomalies were delivered via cesarean section. When compared to arcuate uterus, risk of severe maternal morbidity in septate uterus (4.8% vs 2.6%, adjusted-odds ratio [aOR] 2.60, 95% confidence interval [CI] 1.49-4.52) was increased, including hemorrhage (14.5% vs 7.7%, aOR 2.16, 95% CI 1.51-3.07). This was followed by uterine didelphys (4.2% vs 2.6%, aOR 1.75, 95% CI 1.24-2.47), unicornuate uterus (3.8% vs 2.6%, aOR 1.61, 95% CI 1.29-2.01), and bicornuate uterus (3.0% vs 2.6%, aOR 1.23, 95% CI 1.04-1.47). ConclusionWhile the majority of patients with congenital uterine anomalies result in full-term viable deliveries, each subtype of congenital uterine anomalies confers different obstetric risks. Uterine didelphys was associated with the highest risk of preterm birth, while septate uterus was associated with the highest risk of severe maternal morbidity. While this hospital delivery dataset likely overrepresents bicornuate uteri, this populational data may help inform patients with congenital anomalies considering pregnancy.El resumen está disponible en Español al final del artículo.

Validation of a modified obstetric comorbidity index for prediction of postpartum adverse events including fetal morbidity - a retrospective cohort study from Qatar

BackgroundThe Obstetric Comorbidity Index (OBCMI) is an internationally validated scoring system for maternal risk factors intended to reliably predict the occurrence of severe maternal morbidity (SMM). This retrospective cohort study applied the OBCMI to pregnant women in Qatar to validate its performance in predicting SMM and cumulative fetal morbidity.MethodsData from 1000 women who delivered in July 2021 in a large tertiary centre was extracted from medical records. The OBCMI index included maternal demographics, pre-existing comorbidities, and various current pregnancy risk factors such as hypertension, including preeclampsia, intrauterine fetal death, prolonged rupture of membranes and unbooked pregnancies. SMM was based on the ACOG consensus definition, and the cumulative fetal morbidity (CFM) included fetal distress in labour, low APGAR and umbilical artery (UA) pH, admission to neonatal intensive care (NICU), and hypoxic-ischemic encephalopathy (HIE). A c-statistic or area under curve (AUC) was calculated to determine the ability of OBCMI to predict SMM and CFM.ResultsThe median OBCMI score for the cohort was 1 (interquartile range- 0 to 2); 50% of women scored 0, while 85% (n = 842) had a score ranging from 0 to 2. Ten women (1%) scored ≥ 7; the highest score was 10. The incidence of SMM was 13%. According to the modified scoring system, the mean OBCMI score in those who developed SMM was 2.18 (± 2.20) compared to a mean of 1.04 (± 1.40) in those who did not (median 1, IQR:1–3 versus median 0, IQR: 0–2; p < 0.001). The incidence of CFM was 11.3%. The incidence of low APGAR score, HIE and NICU admission was nearly 1 in 1000. Around 5% of the babies had fetal distress in labour and low UA pH. For every 1 unit increase in OBCMI score, the odds of SMM increased by 44% (OR 1.44 95% CI 1.30–1.59; p < 0.001; AUC 0.66), and CFM increased by 28% (OR 1.28 95% CI 1.15–1.42; p < 0.001; AUC 0.61). A cut-off score of 4 had a high specificity (> 90%); 1 in 4 and 1 in 6 women with OBCMI score ≥ 4 developed SMM and CFM, respectively.ConclusionThe OBCMI performed moderately well in predicting SMM in pregnant women of Qatar and can be effectively used as a risk assessment tool to red-flag high-risk cases so that appropriate and timely multidisciplinary care can be initiated to reduce SMM and maternal mortality. The index is also helpful in predicting fetal morbidity; however, further prospective studies are required to validate OBCMI for CFM.

Interpretable machine learning predicts postpartum hemorrhage with severe maternal morbidity in a lower-risk laboring obstetric population

BackgroundEarly identification of patients at increased risk for postpartum hemorrhage (PPH) associated with severe maternal morbidity (SMM) is critical for preparation and preventative intervention. However, prediction is challenging in patients without obvious risk factors for postpartum hemorrhage with severe maternal morbidity. Current tools for hemorrhage risk assessment use lists of risk factors rather than predictive models. ObjectiveTo develop, validate (internally and externally), and compare a machine learning model for predicting PPH associated with SMM against a standard hemorrhage risk assessment tool in a lower risk laboring obstetric population. Study DesignThis retrospective cross-sectional study included clinical data from singleton, term births (>=37 weeks’ gestation) at 19 US hospitals (2016–2021) using data from 58,023 births at 11 hospitals to train a generalized additive model (GAM) and 27,743 births at 8 held-out hospitals to externally validate the model. The outcome of interest was PPH with severe maternal morbidity (blood transfusion, hysterectomy, vascular embolization, intrauterine balloon tamponade, uterine artery ligation suture, uterine compression suture, or admission to intensive care). Cesarean birth without a trial of vaginal birth and patients with a history of cesarean were excluded. We compared the model performance to that of the California Maternal Quality Care Collaborative (CMQCC) Obstetric Hemorrhage Risk Factor Assessment Screen. ResultsThe GAM predicted PPH with an area under the receiver-operating characteristic curve (AUROC) of 0.67 (95% CI 0.64–0.68) on external validation, significantly outperforming the CMQCC risk screen AUROC of 0.52 (95% CI 0.50–0.53). Additionally, the GAM had better sensitivity of 36.9% (95% CI 33.01–41.02) than the CMQCC screen sensitivity of 20.30% (95% CI 17.40–22.52) at the CMQCC screen positive rate of 16.8%. The GAM identified in-vitro fertilization as a risk factor (adjusted OR 1.5; 95% CI 1.2–1.8) and nulliparous births as the highest PPH risk factor (adjusted OR 1.5; 95% CI 1.4–1.6). ConclusionOur model identified almost twice as many cases of PPH as the CMQCC rules-based approach for the same screen positive rate and identified in-vitro fertilization and first-time births as risk factors for PPH. Adopting predictive models over traditional screens can enhance PPH prediction.

Planning for the forgotten fourth trimester of pregnancy: A parallel group randomized control trial to test a postpartum planning intervention vs. standard prenatal care

BackgroundBlack and brown birthing people experience persistent disparities in adverse maternal health outcomes, partially due to inadequate perinatal care. The goal of this study is to design and evaluate a patient-centered intervention for obstetric patients with one or more cardiometabolic risk factors for severe maternal morbidity [gestational diabetes, diabetes mellitus, hypertensive disorders of pregnancy (chronic hypertension, preeclampsia, eclampsia, or gestational hypertension), or preconception obesity (BMI > 30)] to promote postpartum visit attendance. MethodsTo address identified unmet needs for postpartum support and barriers to postpartum care, we developed 20 thematic postpartum planning modules, each with corresponding patient educational materials, community resources, care coordination protocols, and clinician support tools (decision aids, electronic medical record prompts and fields). During prenatal care encounters, a research coordinator delivers the educational content (in English or Spanish), facilitates the participant's planning and shared decision-making, provides the participant with resources, and documents decisions in the electronic medical record. We will randomize 320 eligible patients with a 1:1 ratio to the intervention or standard prenatal care and evaluate the impact on postpartum visit attendance at 4–12 weeks and secondary outcomes (postpartum mental health, perceived future maternal and cardiometabolic risk, contraceptive use, primary care use, readmission, and patient satisfaction with care). DiscussionThrough engagement with patients and community stakeholders, we developed a guideline-based, locally tailored intervention to address drivers of engagement with postpartum care for high-risk obstetric patients. If demonstrated to be effective, the educational materials and electronic medical record based-tool can be adapted to other settings. Trial registrationThis trial was registered on ClinicalTrials.gov (NCT05430815) on June 23, 2022.

Postpartum recovery after severe maternal morbidity in Kilifi, Kenya: a grounded theory of recovery trajectories beyond 42 days

IntroductionThe burden of severe maternal morbidity is highest in sub-Saharan Africa, and its relative contribution to maternal (ill) health may increase as maternal mortality continues to fall. Women’s perspective of...

Placenta Accreta Spectrum: A Comprehensive Review of Guidelines.

Placenta accreta spectrum (PAS) represents a range of disorders characterized by abnormal placental invasion and is associated with severe maternal morbidity and mortality. The aim of this study was to review and compare the most recently published major guidelines on the diagnosis and management of this potentially life-threatening obstetric complication. A descriptive review of guidelines from the American College of Obstetricians and Gynecologists, the Royal Australian and New Zealand College of Obstetricians and Gynecologists, the International Society for Abnormally Invasive Placenta, the Royal College of Obstetricians and Gynecologists, the International Federation of Gynecology and Obstetrics, and the Society of Obstetricians and Gynecologists of Canada on PAS disorders was carried out. There is a consensus among the reviewed guidelines regarding the definition and the diagnosis of PAS using specific sonographic signs. In addition, they all agree that the use of magnetic resonance imaging should be limited to the evaluation of the extension to pelvic organs in case of placenta percreta. Moreover, American College of Obstetricians and Gynecologists, Royal College of Obstetricians and Gynecologists, International Federation of Gynecology and Obstetrics, and the Society of Obstetricians and Gynecologists of Canada agree that screening for PAS disorders should be based on clinical risk factors along with sonographic findings. Regarding management, they all highlight the importance of a multidisciplinary team approach and recommend delivery by elective cesarean section at a tertiary center with experienced staff and appropriate resources. Routine preoperative ureteric stenting and occlusion of pelvic arteries are universally not recommended. Moreover, hysterectomy following the delivery of the fetus, expectant management with placenta left in situ, and conservative management in case of focal disease and desired fertility are all considered as acceptable treatment options. The reviewed guidelines also suggest some measures for intraoperative and postoperative hemorrhage control and recommend prophylactic administration of antibiotics. Methotrexate after expectant management is unanimously discouraged. On the other hand, there is no common pathway with regard to the optimal timing of delivery, the recommended mode of anesthesia, the preferred skin incision, and the effectiveness of the delayed hysterectomy approach. PAS disorders are mainly iatrogenic conditions with a constantly rising incidence and potentially devastating consequences for both the mother and the neonate. Thus, the development of uniform international practice protocols for effective screening, diagnosis, and management seems of paramount importance and will hopefully drive favorable pregnancy outcomes.

HPR139 Examining the Intersectionality of Race, Ethnicity, and Social Vulnerabilities in Predicting Severe Maternal Morbidities Among Blue Cross and Blue Shield of Louisiana Mothers

HPR139 Examining the Intersectionality of Race, Ethnicity, and Social Vulnerabilities in Predicting Severe Maternal Morbidities Among Blue Cross and Blue Shield of Louisiana Mothers

Management and Outcomes of Pulmonary Artery Hypertension and Eisenmenger Syndrome During Pregnancy: A Prospective Observational Cohort Study

(BJOG. 2023;130(10):1258–1268) Pregnancies complicated by pulmonary arterial hypertension (PAH) and Eisenmenger syndrome often result in severe maternal and fetal morbidity and mortality. Clinicians often counsel women with these conditions to avoid pregnancy or terminate a pregnancy. Multidisciplinary specialty centers, however, have seen good outcomes in these high-risk women and their babies.

Association of the US Affordable Care Act-Dependent Coverage Provision With Labor Neuraxial Analgesia Use

(Anesthesiology. 2023;139:274–286) Neuraxial analgesia during labor is both safe and effective and has been associated with a lower risk of severe maternal morbidity. However, utilization is lower in minority groups, who experience a higher risk of severe maternal morbidity. Therefore, it is imperative to increase utilization and access, especially among minority ethnic and racial groups. This study examined the factor of health insurance access, specifically the effect of the Dependent Coverage Provision for the Patient Protection and Affordable Care Act on the use of neuraxial analgesia during labor, both in women from minority groups and overall.

Epidural analgesia during labour and severe maternal morbidity: population based study

ObjectivesTo determine the effect of labour epidural on severe maternal morbidity (SMM) and to explore whether this effect might be greater in women with a medical indication for epidural analgesia...

Prenatal methamphetamine use increases risk of adverse maternal and neonatal outcomes

Although methamphetamine use has been increasing in recent years and occurring within new populations and in broader geographical areas, there is limited research on its use and effect in pregnancy. This study aimed to examine the association between prenatal methamphetamine use and maternal and neonatal outcomes in a large, contemporary birth cohort. This was a retrospective cohort study using California-linked vital statistics and hospital discharge data from 2008 to 2019. Methamphetamine use was identified using the International Classification of Disease, Ninth Revision and Tenth Revision, codes. Chi-square tests and multivariable Poisson regression models were used to evaluate the associations between methamphetamine use and maternal and neonatal outcomes. A total of 4,775,463 pregnancies met the inclusion criteria, of which 18,473 (0.39%) had methamphetamine use. Compared with individuals without methamphetamine use, individuals with methamphetamine use had an increased risk of nonsevere hypertensive disorders (adjusted risk ratio, 1.81; 95% confidence interval, 1.71-1.90), preeclampsia with severe features (adjusted risk ratio, 3.38; 95% confidence interval, 3.14-3.63), placental abruption (adjusted risk ratio, 3.77; 95% confidence interval, 3.51-4.05), cardiovascular morbidity (adjusted risk ratio, 4.30; 95% confidence interval, 3.79-4.88), and severe maternal morbidity (adjusted risk ratio, 3.53; 95% confidence interval, 3.29-3.77). In addition, adverse neonatal outcomes were increased, including preterm birth at <37weeks of gestation (adjusted risk ratio, 2.85; 95% confidence interval, 2.77-2.94), neonatal intensive care unit admission (adjusted risk ratio, 2.46; 95% confidence interval, 2.39-2.53), and infant death (adjusted risk ratio, 2.73; 95% confidence interval, 2.35-3.16). Methamphetamine use in pregnancy is associated with an increased risk of adverse maternal and neonatal outcomes that persists after adjustment for confounding variables and sociodemographic factors. Our results can inform prenatal and postpartum care for this high-risk, socioeconomically vulnerable population.

Prediction model for severe maternal morbidity in pregnant women with hypertensive disorders of pregnancy.

To investigate risk factors for severe maternal morbidity (SMM) in pregnant women with hypertensive disorders of pregnancy (HDP) and to develop a risk prediction model. A prospective observational cohort study was conducted among pregnant women who were hospitalized for hypertensive disorders of pregnancy (HDP) between January 2016 and December 2020 in Fujian College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Province, China (a training set), and a risk predictive model was constructed. Pregnant women with HDP who were hospitalized between January 2021 and December 2021 were selected as a validation set. Concordance index (C-index) and calibration curves were used to test predictive model discrimination and calibration. We included 970 pregnant women (790 in the training set and 180 in the validation set). Least absolute shrinkage and selection operator regression was used to screen for nine related variables such as intra-uterine growth retardation (IUGR), diastolic blood pressure (DBP) and systolic blood pressure (SBP) at suspected diagnosis, total bilirubin, albumin (ALB), uric acid, total cholesterol, serum magnesium, and suspected gestational age. SBP at suspected diagnosis (OR =1.22, 95%CI:1.08-1.42) and total cholesterol (OR = 1.78, 95%CI:1.17-2.80) were independent risk factors of severe maternal morbidity in pregnant women with HDP. A nomogram was constructed, and internal validation of the nomogram model was done using the bootstrap self-sampling method. C-index in the training and the validation set was 0.798 and 0.909, respectively. Our prediction model can be used to determine gestational hypertension severity in pregnant women.

Severe maternal morbidity from pregnancy through 1 year postpartum

Few recent studies have examined the rate of severe maternal morbidity occurring during the antenatal and/or postpartum period to 42 days after delivery. However, little is known about the rate of severe maternal morbidity occurring beyond 42 days after delivery. This study aimed to examine the distribution of severe maternal morbidity and its indicators during antenatal, delivery, and postpartum hospitalizations to 365 days after delivery and to estimate the increase in severe maternal morbidity rate and its indicators after accounting for antenatal and postpartum severe maternal morbidity to 365 days after delivery. This was a retrospective cohort study using birth and fetal death certificate data linked to hospital discharge records from Michigan, Oregon, and South Carolina from 2008 to 2020. This study examined the distribution of severe maternal morbidity, nontransfusion severe maternal morbidity, and severe maternal morbidity indicators during antenatal, delivery, and postpartum hospitalizations to 365 days after delivery. Subsequently, this study examined "severe maternal morbidity cases added," which represent cases among unique individuals that are included by considering the antenatal and postpartum periods but that would be missed if only the delivery hospitalization cases were included. A total of 64,661 (2.5%) individuals experienced severe maternal morbidity, whereas 37,112 (1.4%) individuals experienced nontransfusion severe maternal morbidity during antenatal, delivery, and/or postpartum hospitalization. A total of 31% of severe maternal morbidity cases were added after accounting for severe maternal morbidity occurring during the antenatal or postpartum hospitalization to 365 days after delivery, whereas 49% of nontransfusion severe maternal morbidity cases were added after accounting for nontransfusion severe maternal morbidity occurring during the antenatal or postpartum periods. Severe maternal morbidity occurring between 43 and 365 days after delivery contributed to 12% of all severe maternal morbidity cases, whereas nontransfusion severe maternal morbidity occurring between 43 and 365 days after delivery contributed to 19% of all nontransfusion severe maternal morbidity cases. Our study showed that a total of 31% of severe maternal morbidity and 49% of nontransfusion severe maternal morbidity cases were added after accounting for severe maternal morbidity occurring during the antenatal or postpartum hospitalization to 365 days after delivery. Our findings highlight the importance of expanding the severe maternal morbidity definition beyond the delivery hospitalization to better capture the full period of increased risk, identify contributing factors, and design strategies to mitigate this risk. Only then can we improve outcomes for mothers and subsequently the quality of life of their infants.

Code Crimson: A Postpartum Hemorrhage Bundled Intervention Quality Improvement Project.

Postpartum hemorrhage (PPH) is a leading cause of maternity mortality in the United States. The Code Crimson project aimed to enhance PPH management by implementing a standardized intervention bundle to mitigate morbidity and mortality associated with PPH. At a large Philadelphia tertiary hospital, health disparities existed for severe maternal morbidity and mortality, and PPH was a significant factor. A quality improvement design, using Plan-Do-Study-Act cycles and interrupted time series analysis, was undertaken. The Code Crimson project implemented a standardized bundle to manage PPH, including blood product administration and massive transfusion protocol activation. After implementing the Code Crimson bundle, there was a significant decrease in blood product use ( P <.001), with minor reductions in packed red blood cell administration over 4 units and mean blood loss. The Code Crimson bundle effectively reduced blood product utilization for PPH treatment.

Pregnancy with endometriosis: Assessment of national-level trends, characteristics, and maternal morbidity at delivery

ObjectiveTo examine pregnancy characteristics and maternal morbidity at delivery among pregnant patients with a diagnosis of endometriosis. Study designThis cross-sectional study queried the Healthcare Cost and Utilization Project’s National Inpatient Sample. Study population was 17,796,365 hospital deliveries from 2016 to 2020, excluded adenomyosis and uterine myoma. The exposure was endometriosis diagnosis. Main outcome measures were clinical and pregnancy characteristics and severe maternal morbidity at delivery related to endometriosis, assessed with multivariable regression model. ResultsEndometriosis was diagnosed in 17,590 patients. The prevalence of endometriosis increased by 24 % from one in 1,191 patients in 2016 to one in 853 patients in 2020 (adjusted-odds ratio [aOR] 1.24, 95% confidence interval [CI] 1.19–1.30). Clinical and pregnancy characteristics that had greater than two-fold association to endometriosis included polycystic ovary syndrome, placenta previa, cesarean delivery, maternal age of ≥30 years, prior pregnancy loss, and anxiety disorder. Pregnant patients with endometriosis were more likely to have the diagnosis of measured severe maternal morbidity during the index hospitalization for delivery (47.8 vs 17.3 per 1,000 deliveries, aOR 1.91, 95%CI 1.78–2.06); these associations were more prominent following vaginal (aOR 2.82, 95%CI 2.41–3.30) compared to cesarean (aOR 1.85, 95%CI 1.71–2.00) deliveries. Among the individual morbidity indicators, endometriosis was most strongly associated with thromboembolism (aOR 5.05, 95%CI 3.70–6.91), followed by sepsis (aOR 2.39, 95%CI 1.85–3.09) and hysterectomy (aOR 2.18, 95%CI 1.85–2.56). When stratified for endometriosis anatomical site, odds of thromboembolism was increased in endometriosis at distant site (aOR 9.10, 95%CI 3.76–22.02) and adnexa (aOR 7.37, 95%CI 4.43–12.28); odds of sepsis was most increased in endometriosis at multi-classifier locations (aOR 7.33, 95%CI 2.93–18.31) followed by pelvic peritoneum (aOR 5.54, 95%CI 2.95–10.40); and odds of hysterectomy exceeded three-fold in endometriosis at adnexa (aOR 3.00, 95%CI 2.30–3.90), distant site (aOR 5.36, 95%CI 3.48–8.24), and multi-classifier location (aOR 4.46, 95%CI 2.11–9.41). ConclusionThe results of this nationwide analysis suggest that pregnancy with endometriosis is uncommon but gradually increasing over time in the United States. The data also suggest that endometriosis during pregnancy is associated with increased risk of severe maternal morbidity at delivery, especially for thromboembolism, sepsis, and hysterectomy. These morbidity risks differed by the anatomical location of endometriosis.

Protocol for Evaluating Remote Patient Blood Pressure Monitoring Adapted to Black Women and Birthing Persons.

Cardiovascular disease is the leading cause of maternal death among Black women in the United States. A large, urban hospital adopted remote patient blood pressure monitoring (RBPM) to increase blood pressure monitoring and improve the management of hypertensive disorders of pregnancy (HDP) by reducing the time to diagnosis of HDP. The digital platform integrates with the electronic health record (EHR), automatically inputting RBPM readings to the patients' chart; communicating elevated blood pressure values to the healthcare team; and offers a partial offset of the cost through insurance plans. It also allows for customization of the blood pressure values that prompt follow-up to the patient's risk category. This paper describes a protocol for evaluating its impact. Objective 1 is to measure the effect of the digitally supported RBPM on the time to diagnosis of HDP. Objective 2 is to test the effect of cultural tailoring to Black participants. The ability to tailor digital content provides the opportunity to test the added value of promoting social identification with the intervention, which may help achieve equity in severe maternal morbidity events related to HDP. Evaluation of this intervention will contribute to the growing literature on digital health interventions to improve maternity care in the United States.