Delivery at an inadequate level of maternal care is associated with severe maternal morbidity.

BACKGROUND: Implementing levels of maternal care is one strategy proposed to reduce maternal morbidity and mortality. The levels of maternal care framework outline individual medical and obstetrical comorbidities, along with hospital resources required for individuals with these different comorbidities to deliver safely. The overall goal is to match individuals to hospitals so that all birthing people get appropriate resources and personnel during delivery to reduce maternal morbidity. OBJECTIVE: This study examined the association between delivery in a hospital with an inappropriate level of maternal care and the risk of experiencing severe maternal morbidity. STUDY DESIGN: The 40 birthing hospitals in Massachusetts were surveyed using the Centers for Disease Control and Prevention's Levels of Care Assessment Tool. We linked individual delivery hospitalizations from the Massachusetts Pregnancy to Early Life Longitudinal Data System to hospital-level data from the Levels of Care Assessment Tool surveys. Level of maternal care guidelines were used to outline 16 high-risk conditions warranting delivery at hospitals with resources beyond those considered basic (level I) obstetrical care. We then used the Levels of Care Assessment Tool assigned levels to determine if delivery occurred at a hospital that had the resources to meet an individual's needs (ie, if a patient received risk-appropriate care). We conducted our analyses in 2 stages. First, multivariable logistic regression models predicted if an individual delivered in a hospital that did not have the resources for their risk condition. The main explanatory variable of interest was if the hospital self-assessed their level of maternal care to be higher than the Levels of Care Assessment Tool assigned level. We then used logistic regression to examine the association between delivery at an inappropriate level hospital and the presence of severe maternal morbidity at delivery. RESULTS: Among 64,441 deliveries in Massachusetts from January 1 to December 31, 2019, 33.2% (21,415/64,441) had 1 or more of the 16 high-risk conditions that require delivery at a center designated as a level I or higher. Of the 21,415 individuals with a high-risk condition, 13% (2793/21,415), equating to 4% (2793/64,441) of the entire sample, delivered at an inappropriate level of maternal care. Birthing individuals with high-risk conditions who delivered at a hospital with an inappropriate level had elevated odds (adjusted odds ratio, 3.34; 95% confidence interval, 2.24-4.96) of experiencing severe maternal morbidity after adjusting for patient comorbidities, demographics, average hospital severe maternal morbidity rate, hospital level of maternal care, and geographic region. CONCLUSION: Birthing people who delivered in a hospital with risk-inappropriate resources were substantially more likely to experience severe maternal morbidity. Delivery in a hospital with a discrepancy in their self-assessment and the Levels of Care Assessment Tool assigned level substantially predicted delivery in a hospital with an inappropriate level of maternal care, suggesting inadequate knowledge of hospitals' resources and capabilities. Our data demonstrate the potential for the levels of maternal care paradigm to decrease severe maternal morbidity while highlighting the need for robust implementation and education to ensure everyone receives risk-appropriate care.

Cardiogenic Shock and Utilization of Mechanical Circulatory Support in Pregnancy.

Maternal mortality rates are rising in the United States, a trend which is in contrast to that seen in other high-income nations. Cardiovascular disease and hypertensive disorders of pregnancy are consistently the leading causes of maternal mortality both in the United States and globally, accounting for about one-quarter to one-third of maternal and peripartum deaths. A large proportion of cardiovascular morbidity and mortality stems from acquired disease in the context of cardiovascular risk factors, which include obesity, pre-existing diabetes and hypertension, and inequities in care from maternal care deserts and structural racism. Patients may also become pregnant with preexisting structural heart disease, or acquire disease throughout pregnancy (ex: spontaneous coronary artery dissection, peripartum cardiomyopathy), and be at higher risk of pregnancy-related cardiovascular complications. While risk-stratification tools including the modified World Health Organization (mWHO) classification, Cardiac Disease in Pregnancy (CARPREG II) and Zwangerschap bij Aangeboren HARtAfwijking/Pregnancy in Women with Congenital Heart Disease (ZAHARA) have been designed to help physicians identify patients at increased risk for adverse pregnancy outcomes and who may therefore benefit from referral to a tertiary care center, the limitation of these scores is their predominant focus on patients with known preexisting heart disease. As such, identifying patients at risk for pregnancy complications presents a significant challenge, and it is often patients with high-risk cardiovascular substrates prior to or during pregnancy who are at a highest risk for adverse pregnancy outcomes including cardiogenic shock.

What's trending? Reach and content of the Society for Maternal-Fetal Medicine on social media.

BACKGROUND: The Society for Maternal-Fetal Medicine uses social media to increase awareness of the Society and its key programs and to foster community and discussion around perinatal health, especially on Twitter. The influence and role of the Society for Maternal-Fetal Medicine Twitter account in public discourse around issues relevant to pregnancy have not been studied. OBJECTIVE: This study aimed to evaluate the trends in engagement with the Society for Maternal-Fetal Medicine on Twitter by analyzing Society for Maternal-Fetal Medicine follower growth and discussion topics on Twitter compared with Facebook and by quantifying public engagement during the Society for Maternal-Fetal Medicine Annual Pregnancy Meeting. STUDY DESIGN: This retrospective study analyzed follower growth data from August 2019 to July 2022 for the Society for Maternal-Fetal Medicine Twitter (@MySMFM) and Society for Maternal-Fetal Medicine Facebook (@SocietyforMaternalFetalMedicine) accounts. We identified the top 10 tweets and Facebook posts during the study period using Twitter Analytics and Facebook data. The popularity of tweets and Facebook posts was determined by "impressions" and "reach," respectively; these metrics reflect the number of times a post was viewed. To evaluate annual trends in Society for Maternal-Fetal Medicine Twitter engagement, we analyzed data associated with the Society for Maternal-Fetal Medicine Annual Pregnancy Meeting, including the number of tweets using the hashtag (#SMFM(Year)) and overall impressions for the Society for Maternal-Fetal Medicine Twitter account for each meeting from 2016 to 2023. RESULTS: The absolute number of new followers for the Society for Maternal-Fetal Medicine Twitter and Facebook accounts was similar, but the relative increase and rate of follower growth was higher for Twitter than for Facebook. The Twitter account consistently gained followers, whereas the Facebook account experienced intermittent periods of stagnancy or follower loss. More than half of the top-ranked posts on Twitter and Facebook mentioned the COVID-19 vaccine; other popular topics included COVID-19 and abortion. During the Society for Maternal-Fetal Medicine Annual Pregnancy Meeting, the number of tweets using the meeting hashtag consistently peaked on meeting day 4, coincident with the opening plenary session (mean 1270±499). An upward trend in annual pregnancy meeting tweets was observed each year until 2021-the first virtual Society for Maternal-Fetal Medicine meeting. CONCLUSION: The trends in Society for Maternal-Fetal Medicine Twitter engagement suggest increasing use and popularity of the platform for timely dissemination of pregnancy-related news, guidelines, and research. The reduction in annual pregnancy meeting tweets and impressions in 2021 and 2022 suggests the potential negative effect of virtual meetings on Society for Maternal-Fetal Medicine member engagement around annual meeting content.

Simulation to improve trainee knowledge and comfort in managing maternal cardiac arrest.

BACKGROUND: Maternal cardiac arrest is a rare outcome, and thus there are limited opportunities for specialists in obstetrics and gynecology to acquire the skills required to respond to it through routine clinical practice. OBJECTIVE: This study aimed to evaluate gaps in medical education in maternal cardiac arrest and whether a simulation-based training program improves resident knowledge and comfort in the diagnosis and treatment of maternal cardiac arrest. STUDY DESIGN: A 2-hour training for obstetrics and gynecology residents at an academic medical center was conducted, consisting of a didactic presentation, defibrillator skills station, and 2 high-fidelity simulations. Consenting residents completed a 21-item pretest followed by a 12-item posttest exploring knowledge of and exposure to maternal cardiac arrest. The McNemar and Wilcoxon signed-rank tests were used to compare pre- and posttest data. RESULTS: Of 21 residents, 15 (71.4%) had no previous education about maternal cardiac arrest, and 17 (81.0%) had never responded to a maternal code. Participants demonstrated increased knowledge about maternal cardiac arrest after the session, providing more correct answers on the reversible causes of pulseless electrical activity arrest (median 4 vs 7 correct responses; P<.01). After the training, more residents were able to identify the correct gestational age to perform a cesarean delivery during maternal cardiac arrest (19.0% vs 90.5%; P<.01) and the correct location for this procedure (52.4% vs 95.2%; P<.01). All residents reported that maternal cardiac arrest training was important and that they would benefit from additional sessions. Median composite comfort level in managing maternal cardiac arrest significantly increased after participation (pretest, 24.0 [interquartile range, 21.5-28.0]; posttest, 37.0 [interquartile range, 34.3-41.3]; P<.01). CONCLUSION: Residents report limited exposure to maternal cardiac arrest and desire more training. Simulation-based training about maternal cardiac arrest is needed during residency to ensure that graduates are prepared to respond to this high-acuity event.

Low-dose aspirin use in the first trimester of pregnancy and odds of congenital anomalies: A meta-analysis of randomized controlled trials.

BACKGROUND: Daily low-dose aspirin (LDA) is recommended in high-risk pregnancies. However, its safety profile in the first trimester has not been well documented. OBJECTIVES: To determine if LDA exposure during the first trimester of pregnancy is associated with higher odds of congenital structural anomalies. SEARCH STRATEGY: PubMed, Embase, Web of Science, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov were systematically searched. SELECTION CRITERIA: Randomized controlled trials (RCTs) that assigned participants to LDA (≤150 mg) or placebo/no intervention at less than 14 weeks of pregnancy were eligible. DATA COLLECTION AND ANALYSIS: Random-effects models were performed using the inverse-variance method to calculate pooled effect sizes. Quality of evidence was appraised according to Grading of Recommendations, Assessment, Development and Evaluations (GRADE) criteria. MAIN RESULTS: Eight RCTs that included 7564 participants assigned to receive daily LDA and 7670 participants that served as controls were analyzed. Low-certainty evidence showed no significant difference in the odds of congenital anomalies (odds ratio 0.87, 95% confidence interval 0.62-1.23, I2  = 0%). CONCLUSIONS: In this meta-analysis, there is no evidence to suggest safety concerns regarding LDA teratogenicity. However, given the overall low quality of evidence, further research (e.g. individual participant data meta-analysis) is needed to confirm LDA safety profile.

Innovating Evaluation and Treatment of Intrapartum Fevers: Where Do We Go from Here?

As intrapartum fevers are not always infectious in origin, determining whether antibiotics are indicated is challenging. We previously sought to create a point-of-care calculator using clinical data available at the time of an intrapartum fever to identify the subset of women who require antibiotic treatment to avoid maternal and neonatal morbidity. Despite the use of a comprehensive dataset from our institutions, we were unable to propose a valid and highly predictive model. In this commentary, we discuss why our model failed, as well as future research directions to identify and treat true intraamniotic infection. Developing a risk-stratification model is paramount to minimizing maternal and neonatal exposure to unnecessary antibiotics while allowing for early identification of women and babies at risk for infectious morbidity. KEY POINTS: · Determining whether antibiotics are indicated in intrapartum fever is challenging.. · Developing a risk-stratification model for febrile laboring women is critical to decreasing harm.. · A point-of-care calculator based on clinical and biomarker data is the necessary approach..

Point of care maternal ultrasound in obstetrics.

Ultrasound is the hallmark imaging modality traditionally used by obstetricians for fetal diagnosis and surveillance. The COVID-19 pandemic highlighted the role of point of care ultrasound for expeditious assessment of the maternal cardiopulmonary status. The familiarity of obstetricians with ultrasound, coupled with the availability of ultrasound equipment without the need to transport the patient, make point of care ultrasound particularly valuable in the labor and delivery unit. The rising contribution of cardiopulmonary disorders to maternal morbidity and mortality carves out many potential applications for point of care ultrasound during labor and delivery. Obstetricians have access to the technology and the skills to obtain the basic views required to assess for the presence of pulmonary edema, ventricular dysfunction, or intra-abdominal free fluid. Point of care ultrasound can be used routinely for the evaluation of pulmonary complaints or in the assessment of hypotension and may play an essential role in the diagnosis and management of life-threatening emergencies such as shock, an amniotic fluid embolism, or cardiac arrest. We reviewed the currently established point of care ultrasound protocols for the evaluation of cardiopulmonary complaints through the lens of the obstetrician. We call on educators and academic leaders to incorporate maternal point of care ultrasound teachings into existing curricula. Point of care ultrasound is of enormous value for providers with limited access to diagnostic imaging or subspecialty providers. With the growing complexity of the obstetrical population, acquiring the clinical skills to meet these evolving needs is a requisite step in the ongoing efforts to reduce maternal morbidity and mortality.

A Case of Restrictions on Comprehensive Reproductive Health Care.

In this issue of NEJM Evidence, Dr. Goulding and colleagues present the case of a patient with second-trimester rupture of membranes managed expectantly despite the patient's request for termination of her nonviable pregnancy.1 This case occurred in Texas, one of the states that immediately passed even more restrictive laws when the Supreme Court's decision in Dobbs v. Jackson Women's Health Organization ended a person's constitutional right to abortion.2.

Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity.

Importance: Risk-stratification tools are routinely used in obstetrics to assist care teams in assessing and communicating risk associated with delivery. Electronic health record data and machine learning methods may offer a novel opportunity to improve and automate risk assessment. Objective: To compare the predictive performance of natural language processing (NLP) of clinician documentation with that of a previously validated tool to identify individuals at high risk for maternal morbidity. Design, Setting, and Participants: This retrospective diagnostic study was conducted at Brigham and Women's Hospital and Massachusetts General Hospital, Boston, Massachusetts, and included individuals admitted for delivery at the former institution from July 1, 2016, to February 29, 2020. A subset of these encounters (admissions from February to December 2018) was part of a previous prospective validation study of the Obstetric Comorbidity Index (OB-CMI), a comorbidity-weighted score to stratify risk of severe maternal morbidity (SMM). Exposures: Natural language processing of clinician documentation and OB-CMI scores. Main Outcomes and Measures: Natural language processing of clinician-authored admission notes was used to predict SMM in individuals delivering at the same institution but not included in the prospective OB-CMI study. The NLP model was then compared with the OB-CMI in the subset with a known OB-CMI score. Model discrimination between the 2 approaches was compared using the DeLong test. Sensitivity and positive predictive value for the identification of individuals at highest risk were prioritized as the characteristics of interest. Results: This study included 19 794 individuals; 4034 (20.4%) were included in the original prospective validation study of the OB-CMI (testing set), and the remaining 15 760 (79.6%) composed the training set. Mean (SD) age was 32.3 (5.2) years in the testing cohort and 32.2 (5.2) years in the training cohort. A total of 115 individuals in the testing cohort (2.9%) and 468 in the training cohort (3.0%) experienced SMM. The NLP model was built from a pruned vocabulary of 2783 unique words that occurred within the 15 760 admission notes from individuals in the training set. The area under the receiver operating characteristic curve of the NLP-based model for the prediction of SMM was 0.76 (95% CI, 0.72-0.81) and was comparable with that of the OB-CMI model (0.74; 95% CI, 0.70-0.79) in the testing set (P = .53). Sensitivity (NLP, 28.7%; OB-CMI, 24.4%) and positive predictive value (NLP, 19.4%; OB-CMI, 17.6%) were comparable between the NLP and OB-CMI high-risk designations for the prediction of SMM. Conclusions and Relevance: In this study, the NLP method and a validated risk-stratification tool had a similar ability to identify patients at high risk of SMM. Future prospective research is needed to validate the NLP approach in clinical practice and determine whether it could augment or replace tools requiring manual user input.

Pregnancy During Surgical Training: Are Residency Programs Truly Supporting Their Trainees?

OBJECTIVE: Despite recent national improvements in family leave policies, there has been little focus on program-level support for surgical trainees. Trainees who may require clinical duty adjustments during pregnancy, who experience pregnancy loss, or who struggle with balancing work obligations with the demands of a new infant may face stigma when seeking schedule accommodations. The aim of this study was to describe program and colleague support of surgical trainees for pregnancy-related and postpartum health needs. DESIGN: Survey questionnaire. Participants responded to multiple-choice questions about their history of pregnancy loss, their experience with reduction of clinical duties during pregnancy, and their breastfeeding experience. Those who took time off after miscarriages or reduced their clinical duties during pregnancy were asked whether they perceived their colleagues and/or program leadership to be supportive using a 4-point Likert scale (1-strongly agree, 4-strongly disagree) which was dichotomized to agree/disagree. SETTING: Electronically distributed through social media and surgical societies from November 2020 to January 2021. PARTICIPANTS: Female surgical residents and fellows. RESULTS: 258 female surgical residents and fellows were included. Median age was 32 (IQR 30-35) years and 76.74% were white. Of the 52 respondents (20.2%) who reported a miscarriage, 38 (73.1%) took no time off after pregnancy loss, including 5 of 10 women (50%) whose loss occurred after 10 weeks' gestation. Of the 14 residents who took time off after a miscarriage, 4 (28.6%) disagreed their colleagues and/or leadership were supportive of time away from work. Among trainees who reported at least 1 live birth, only 18/114 (15.8%) reduced their work schedule during pregnancy. Of these, 11 (61.1%) described stigma and resentment from colleagues and 14 (77.8%) reported feeling guilty about burdening their colleagues. 100% of respondents reported a desire to breastfeed their infants, but nearly half (46.0%) were unable to reach their breastfeeding goals. 46 (80.7%) cited a lack of time to express breastmilk and 23 (40.4%) cited inadequate lactation facilities as barriers to achieving their breastfeeding goals. CONCLUSIONS: A minority of female trainees takes time off or reduces their clinical duties for pregnancy or postpartum health needs. National parental leave policies are insufficient without complementary program-level strategies that support schedule adjustments for pregnant trainees without engendering a sense of resentment or guilt for doing so. Surgical program leaders should initiate open dialogue, proactively offer clinical duty reductions, and ensure time and space for lactation needs to safeguard maternal-fetal health and improve the working environment for pregnant residents.

Postpartum Depression in Surgeons and Workplace Support for Obstetric and Neonatal Complication: Results of a National Study of US Surgeons.

BACKGROUND: Postpartum depression has well-established long-term adverse effects on maternal and infant health. Surgeons with rigorous operative schedules are at higher risk of obstetric complications, but they rarely reduce their workload during pregnancy. We evaluated whether lack of workplace support for work reductions during difficult pregnancies or after neonatal complications is associated with surgeon postpartum depression. STUDY DESIGN: An electronic survey was sent to practicing and resident surgeons of both sexes in the US. Female surgeons who had at least one live birth were included. Lack of workplace support was defined as: (1) disagreeing that colleagues/leadership were supportive of obstetric-mandated bedrest or time off to care for an infant in the neonatal intensive care unit; (2) feeling unable to reduce clinical duties during pregnancy despite health concerns or to care for an infant in the neonatal intensive care unit. Multivariate logistic regression was used to determine the association of lack of workplace support with postpartum depression. RESULTS: Six hundred ninety-two surgeons were included. The 441 (63.7%) respondents who perceived a lack of workplace support had a higher risk of postpartum depression than those who did not perceive a lack of workplace support (odds ratio 2.21, 95% CI 1.09 to 4.46), controlling for age, race, career stage, and pregnancy/neonatal complications. Of the surgeons with obstetric-related work restrictions, 22.6% experienced loss of income and 38.5% reported >$50,000 loss. CONCLUSION: Lack of workplace support for surgeons with obstetric or neonatal health concerns is associated with a higher risk of postpartum depression. Institutional policies must address the needs of surgeons facing difficult pregnancies to improve mental health outcomes and promote career longevity.

Lack of Workplace Support for Obstetric Health Concerns is Associated With Major Pregnancy Complications: A National Study of US Female Surgeons.

OBJECTIVE: We sought to assess whether lack of workplace support for clinical work reductions during pregnancy was associated with major pregnancy complications. BACKGROUND: Surgeons are at high risk of major pregnancy complications. Although rigorous operative schedules pose increased risk, few reduce their clinical duties during pregnancy. METHODS: An electronic survey was distributed to US surgeons who had at least 1 live birth. Lack of workplace support was defined as: (1) desiring but feeling unable to reduce clinical duties during pregnancy due to failure of the workplace/training program to accommodate and/or concerns about financial penalties, burden on colleagues, requirement to make up missed call, being perceived as weak; (2) disagreeing colleagues and/or leadership were supportive of obstetrician-prescribed bedrest. Multivariate logistic regression determined the association between lack of workplace support and major pregnancy complications. RESULTS: Of 671 surgeons, 437 (65.13%) reported lack of workplace support during pregnancy and 302 (45.01%) experienced major pregnancy complications. Surgeons without workplace support were at higher risk of major pregnancy complications than those who had workplace support (odds ratio: 2.44; 95% confidence interval: 1.58-3.75). Bedrest was prescribed to 110/671 (16.39%) surgeons, 38 (34.55%) of whom disagreed that colleagues and/or leadership were supportive. Of the remaining surgeons, 417/560 (74.5%) desired work reductions but were deterred by lack of workplace support. CONCLUSIONS: Lack of workplace support for reduction in clinical duties is associated with adverse obstetric outcomes for surgeons. This is a modifiable workplace obstacle that deters surgeons from acting to optimize their infant's and their own health. To ensure the health of expectant surgeons, departmental policies should support reduction of clinical workload in an equitable manner without creating financial penalties, requiring payback for missed call duties, or overburdening colleagues.

Effects of prenatal exposure to maternal COVID-19 and perinatal care on neonatal outcome: results from the INTERCOVID Multinational Cohort Study.

BACKGROUND: The effect of COVID-19 in pregnancy on maternal outcomes and its association with preeclampsia and gestational diabetes mellitus have been reported; however, a detailed understanding of the effects of maternal positivity, delivery mode, and perinatal practices on fetal and neonatal outcomes is urgently needed. OBJECTIVE: To evaluate the impact of COVID-19 on fetal and neonatal outcomes and the role of mode of delivery, breastfeeding, and early neonatal care practices on the risk of mother-to-child transmission. STUDY DESIGN: In this cohort study that took place from March 2020 to March 2021, involving 43 institutions in 18 countries, 2 unmatched, consecutive, unexposed women were concomitantly enrolled immediately after each infected woman was identified, at any stage of pregnancy or delivery, and at the same level of care to minimize bias. Women and neonates were followed up until hospital discharge. COVID-19 in pregnancy was determined by laboratory confirmation and/or radiological pulmonary findings or ≥2 predefined COVID-19 symptoms. The outcome measures were indices of neonatal and perinatal morbidity and mortality, neonatal positivity and its correlation with mode of delivery, breastfeeding, and hospital neonatal care practices. RESULTS: A total of 586 neonates born to women with COVID-19 diagnosis and 1535 neonates born to women without COVID-19 diagnosis were enrolled. Women with COVID-19 diagnosis had a higher rate of cesarean delivery (52.8% vs 38.5% for those without COVID-19 diagnosis, P<.01) and pregnancy-related complications, such as hypertensive disorders of pregnancy and fetal distress (all with P<.001), than women without COVID-19 diagnosis. Maternal diagnosis of COVID-19 carried an increased rate of preterm birth (P≤.001) and lower neonatal weight (P≤.001), length, and head circumference at birth. In mothers with COVID-19 diagnosis, the length of in utero exposure was significantly correlated to the risk of the neonate testing positive (odds ratio, 4.5; 95% confidence interval, 2.2-9.4 for length of in utero exposure >14 days). Among neonates born to mothers with COVID-19 diagnosis, birth via cesarean delivery was a risk factor for testing positive for COVID-19 (odds ratio, 2.4; 95% confidence interval, 1.2-4.7), even when severity of maternal conditions was considered and after multivariable logistic analysis. In the subgroup of neonates born to women with COVID-19 diagnosis, the outcomes worsened when the neonate also tested positive, with higher rates of neonatal intensive care unit admission, fever, gastrointestinal and respiratory symptoms, and death, even after adjusting for prematurity. Breastfeeding by mothers with COVID-19 diagnosis and hospital neonatal care practices, including immediate skin-to-skin contact and rooming-in, were not associated with an increased risk of newborn positivity. CONCLUSION: In this multinational cohort study, COVID-19 in pregnancy was associated with increased maternal and neonatal complications. Cesarean delivery was significantly associated with newborn COVID-19 diagnosis. Vaginal delivery should be considered the safest mode of delivery if obstetrical and health conditions allow it. Mother-to-child skin-to-skin contact, rooming-in, and direct breastfeeding were not risk factors for newborn COVID-19 diagnosis, thus well-established best practices can be continued among women with COVID-19 diagnosis.

The Long Road to Parenthood: Assisted Reproduction, Surrogacy, and Adoption Among US Surgeons.

OBJECTIVE: We sought to characterize demographics, costs, and workplace support for surgeons using assisted reproductive technology (ART), adoption, and surrogacy to build their families. SUMMARY BACKGROUND DATA: As the surgical workforce diversifies, the needs of surgeons building a family are changing. ART, adoption, and surrogacy may be used with greater frequency among female surgeons who delay childbearing and surgeons in same-sex relationships. Little is known about costs and workplace support for these endeavors. METHODS: An electronic survey was distributed to surgeons through surgical societies and social media. Rates of ART use were compared between partners of male surgeons and female surgeons and multivariate analysis used to assess risk factors. Surgeons using ART, adoption, or surrogacy were asked to describe costs and time off work to pursue these options. RESULTS: Eight hundred and fifty-nine surgeons participated. Compared to male surgeons, female surgeons were more likely to report delaying children due to surgical training (64.9% vs. 43.5%, P < 0.001), have fewer children (1.9 vs. 2.4, p < 0.001), and use ART (25.2% vs. 17.4%, P = 0.035). Compared to non-surgeon partners of male surgeons, female surgeons were older at first pregnancy (33 vs 31 years, P < 0.001) with age > 35 years associated with greater odds of ART use (odds ratio 3.90; 95% confidence interval 2.74-5.55, P < 0.001). One-third of surgeons using ART spent >$40,000; most took minimal time off work for treatments. Forty-five percent of same-sex couples used adoption or surrogacy. 60% of surgeons using adoption or surrogacy spent >$40,000 and most took minimal paid parental leave. CONCLUSIONS: ART, adoption, or surrogacy is costly and lacks strong workplace support in surgery, disproportionately impacting women and same-sex couples. Equitable and inclusive environments supporting all routes to parenthood ensure recruitment and retention of a diverse workforce. Surgical leaders must enact policies and practices to normalize childbearing as part of an early surgical career, including financial support and equitable parental leave for a growing group of surgeons pursuing ART, surrogacy, or adoption to become parents.

Diabetes mellitus, maternal adiposity, and insulin-dependent gestational diabetes are associated with COVID-19 in pregnancy: the INTERCOVID study.

BACKGROUND: Among nonpregnant individuals, diabetes mellitus and high body mass index increase the risk of COVID-19 and its severity. OBJECTIVE: This study aimed to determine whether diabetes mellitus and high body mass index are risk factors for COVID-19 in pregnancy and whether gestational diabetes mellitus is associated with COVID-19 diagnosis. STUDY DESIGN: INTERCOVID was a multinational study conducted between March 2020 and February 2021 in 43 institutions from 18 countries, enrolling 2184 pregnant women aged ≥18 years; a total of 2071 women were included in the analyses. For each woman diagnosed with COVID-19, 2 nondiagnosed women delivering or initiating antenatal care at the same institution were also enrolled. The main exposures were preexisting diabetes mellitus, high body mass index (overweight or obesity was defined as a body mass index ≥25 kg/m2), and gestational diabetes mellitus in pregnancy. The main outcome was a confirmed diagnosis of COVID-19 based on a real-time polymerase chain reaction test, antigen test, antibody test, radiological pulmonary findings, or ≥2 predefined COVID-19 symptoms at any time during pregnancy or delivery. Relationships of exposures and COVID-19 diagnosis were assessed using generalized linear models with a Poisson distribution and log link function, with robust standard errors to account for model misspecification. Furthermore, we conducted sensitivity analyses: (1) restricted to those with a real-time polymerase chain reaction test or an antigen test in the last week of pregnancy, (2) restricted to those with a real-time polymerase chain reaction test or an antigen test during the entire pregnancy, (3) generating values for missing data using multiple imputation, and (4) analyses controlling for month of enrollment. In addition, among women who were diagnosed with COVID-19, we examined whether having gestational diabetes mellitus, diabetes mellitus, or high body mass index increased the risk of having symptomatic vs asymptomatic COVID-19. RESULTS: COVID-19 was associated with preexisting diabetes mellitus (risk ratio, 1.94; 95% confidence interval, 1.55-2.42), overweight or obesity (risk ratio, 1.20; 95% confidence interval, 1.06-1.37), and gestational diabetes mellitus (risk ratio, 1.21; 95% confidence interval, 0.99-1.46). The gestational diabetes mellitus association was specifically among women requiring insulin, whether they were of normal weight (risk ratio, 1.79; 95% confidence interval, 1.06-3.01) or overweight or obese (risk ratio, 1.77; 95% confidence interval, 1.28-2.45). A somewhat stronger association with COVID-19 diagnosis was observed among women with preexisting diabetes mellitus, whether they were of normal weight (risk ratio, 1.93; 95% confidence interval, 1.18-3.17) or overweight or obese (risk ratio, 2.32; 95% confidence interval, 1.82-2.97). When the sample was restricted to those with a real-time polymerase chain reaction test or an antigen test in the week before delivery or during the entire pregnancy, including missing variables using imputation or controlling for month of enrollment, the observed associations were comparable. CONCLUSION: Diabetes mellitus and overweight or obesity were risk factors for COVID-19 diagnosis in pregnancy, and insulin-dependent gestational diabetes mellitus was associated with the disease. Therefore, it is essential that women with these comorbidities are vaccinated.

Timing of Delivery in Women with Cardiac Disease.

OBJECTIVE: Guidelines do not exist to determine timing of delivery for women with cardiovascular disease (CVD) in pregnancy. The neonatal benefit of a term delivery as compared with an early term delivery is well described. We sought to examine maternal outcomes in women with CVD who delivered in the early term period (370/7 through 386/7 weeks) compared with those who delivered later. STUDY DESIGN: This is a prospective cohort study examining cardiac and obstetric outcomes in women with CVD delivering between September 2011 and December 2016. The associations between gestational age at delivery and maternal, fetal, and obstetric characteristics were evaluated. RESULTS: Two-hundred twenty-five women with CVD were included, 83 (37%) delivered in the early term period and 142 (63%) delivered at term. While the early term group had significantly higher rates of any hypertension during pregnancy (18.1 vs. 7%, p = 0.01) and intrauterine growth restriction (22.9 vs. 2.8%, p < 0.001), there was no difference in high-risk cardiac or obstetric characteristics. No difference in composite cardiac morbidity was found (4.8 vs. 3.5%, p = 0.24). Women in the early term group were more likely to undergo cesarean delivery than women in the term group (43.4 vs. 24.7%, p = 0.004). CONCLUSION: There is no maternal benefit of an early term delivery in otherwise healthy women with CVD. Given the known fetal consequences of early term delivery, this study offers support to existing literature suggesting term delivery in these women. KEY POINTS: · Question of delivery timing in women with cardiac disease.. · No difference in cardiac morbidity, term versus early term.. · Term delivery in women with asymptomatic cardiac disease..

Incidence of Infertility and Pregnancy Complications in US Female Surgeons.

Importance: While surgeons often delay pregnancy and childbearing because of training and establishing early careers, little is known about risks of infertility and pregnancy complications among female surgeons. Objective: To describe the incidence of infertility and pregnancy complications among female surgeons in the US and to identify workplace factors associated with increased risk compared with a sociodemographically similar nonsurgeon population. Design, Setting, and Participants: This self-administered survey questionnaire was electronically distributed and collected from November 2020 to January 2021 through multiple surgical societies in the US and social media among male and female attending and resident surgeons with children. Nonchildbearing surgeons were asked to answer questions regarding the pregnancies of their nonsurgeon partners as applicable. Exposures: Surgical profession; work, operative, and overnight call schedules. Main Outcomes and Measures: Descriptive data on pregnancy loss were collected for female surgeons. Use of assisted reproductive technology was compared between male and female surgeons. Pregnancy and neonatal complications were compared between female surgeons and female nonsurgeon partners of surgeons. Results: A total of 850 surgeons (692 women and 158 men) were included in this survey study. Female surgeons with female partners were excluded because of lack of clarity about who carried the pregnancy. Because the included nonchildbearing population was therefore made up of male individuals with female partners, this group is referred to throughout the study as male surgeons. The median (IQR) age was 40 (36-45) years. Of 692 female surgeons surveyed, 290 (42.0%) had a pregnancy loss, more than twice the rate of the general population. Compared with male surgeons, female surgeons had fewer children (mean [SD], 1.8 [0.8] vs 2.3 [1.1]; P < .001), were more likely to delay having children because of surgical training (450 of 692 [65.0%] vs 69 of 158 [43.7%]; P < .001), and were more likely to use assisted reproductive technology (172 of 692 [24.9%] vs 27 of 158 [17.1%]; P = .04). Compared with female nonsurgeon partners, female surgeons were more likely to have major pregnancy complications (311 of 692 [48.3%] vs 43 of 158 [27.2%]; P < .001), which was significant after controlling for age, work hours, in vitro fertilization use, and multiple gestation (odds ratio [OR], 1.72; 95% CI, 1.11-2.66). Female surgeons operating 12 or more hours per week during the last trimester of pregnancy were at higher risk of major pregnancy complications compared with those operating less than 12 hours per week (OR, 1.57; 95% CI, 1.08-2.26). Compared with female nonsurgeon partners, female surgeons were more likely to have musculoskeletal disorders (255 of 692 [36.9%] vs 29 of 158 [18.4%]; P < .001), nonelective cesarean delivery (170 of 692 [25.5%] vs 24 of 158 [15.3%]; P = .01), and postpartum depression (77 of 692 [11.1%] vs 9 of 158 [5.7%]; P = .04). Conclusions and Relevance: This national survey study highlighted increased medical risks of infertility and pregnancy complications among female surgeons. With an increasing percentage of women representing the surgical workforce, changing surgical culture to support pregnancy is paramount to reducing the risk of major pregnancy complications, use of fertility interventions, or involuntary childlessness because of delayed attempts at childbearing.

Preeclampsia and COVID-19: results from the INTERCOVID prospective longitudinal study.

BACKGROUND: It is unclear whether the suggested link between COVID-19 during pregnancy and preeclampsia is an independent association or if these are caused by common risk factors. OBJECTIVE: This study aimed to quantify any independent association between COVID-19 during pregnancy and preeclampsia and to determine the effect of these variables on maternal and neonatal morbidity and mortality. STUDY DESIGN: This was a large, longitudinal, prospective, unmatched diagnosed and not-diagnosed observational study assessing the effect of COVID-19 during pregnancy on mothers and neonates. Two consecutive not-diagnosed women were concomitantly enrolled immediately after each diagnosed woman was identified, at any stage during pregnancy or delivery, and at the same level of care to minimize bias. Women and neonates were followed until hospital discharge using the standardized INTERGROWTH-21st protocols and electronic data management system. A total of 43 institutions in 18 countries contributed to the study sample. The independent association between the 2 entities was quantified with the risk factors known to be associated with preeclampsia analyzed in each group. The outcomes were compared among women with COVID-19 alone, preeclampsia alone, both conditions, and those without either of the 2 conditions. RESULTS: We enrolled 2184 pregnant women; of these, 725 (33.2%) were enrolled in the COVID-19 diagnosed and 1459 (66.8%) in the COVID-19 not-diagnosed groups. Of these women, 123 had preeclampsia of which 59 of 725 (8.1%) were in the COVID-19 diagnosed group and 64 of 1459 (4.4%) were in the not-diagnosed group (risk ratio, 1.86; 95% confidence interval, 1.32-2.61). After adjustment for sociodemographic factors and conditions associated with both COVID-19 and preeclampsia, the risk ratio for preeclampsia remained significant among all women (risk ratio, 1.77; 95% confidence interval, 1.25-2.52) and nulliparous women specifically (risk ratio, 1.89; 95% confidence interval, 1.17-3.05). There was a trend but no statistical significance among parous women (risk ratio, 1.64; 95% confidence interval, 0.99-2.73). The risk ratio for preterm birth for all women diagnosed with COVID-19 and preeclampsia was 4.05 (95% confidence interval, 2.99-5.49) and 6.26 (95% confidence interval, 4.35-9.00) for nulliparous women. Compared with women with neither condition diagnosed, the composite adverse perinatal outcome showed a stepwise increase in the risk ratio for COVID-19 without preeclampsia, preeclampsia without COVID-19, and COVID-19 with preeclampsia (risk ratio, 2.16; 95% confidence interval, 1.63-2.86; risk ratio, 2.53; 95% confidence interval, 1.44-4.45; and risk ratio, 2.84; 95% confidence interval, 1.67-4.82, respectively). Similar findings were found for the composite adverse maternal outcome with risk ratios of 1.76 (95% confidence interval, 1.32-2.35), 2.07 (95% confidence interval, 1.20-3.57), and 2.77 (95% confidence interval, 1.66-4.63). The association between COVID-19 and gestational hypertension and the direction of the effects on preterm birth and adverse perinatal and maternal outcomes, were similar to preeclampsia, but confined to nulliparous women with lower risk ratios. CONCLUSION: COVID-19 during pregnancy is strongly associated with preeclampsia, especially among nulliparous women. This association is independent of any risk factors and preexisting conditions. COVID-19 severity does not seem to be a factor in this association. Both conditions are associated independently of and in an additive fashion with preterm birth, severe perinatal morbidity and mortality, and adverse maternal outcomes. Women with preeclampsia should be considered a particularly vulnerable group with regard to the risks posed by COVID-19.