Plasma sFlt-1/PlGF ratio of 11.5 multiples of median predicts preeclampsia with severe features within two weeks of testing.

BACKGROUND: Angiogenic imbalances, characterized by an excess of antiangiogenic factors (soluble fms-like tyrosine kinase 1 [sFlt-1]) and reduced angiogenic factors (VEGF and placental growth factor [PlGF]), contribute to the mechanisms of disease in preeclampsia. The ratio of sFlt-1 to PlGF has been used as a biomarker for preeclampsia, but cut-off values may vary with gestational age and assay platform. OBJECTIVES: To compare multiples of the median (MoM) of maternal plasma sFlt-1/PlGF ratio, sFlt-1, PlGF, and conventional clinical and laboratory values to predict preeclampsia with severe features. STUDY DESIGN: We conducted a cohort study across 18 U.S. centers involving hospitalized hypertensive individuals between 23-35 weeks' gestation. Receiver operating characteristic curve (ROC) analyses of maternal plasma biomarkers, highest systolic or diastolic blood pressures, and laboratory values at enrollment were performed for the prediction of preeclampsia with severe features. Their areas under the curve (AUC) were compared, and quasi-Poisson regression models were fitted to estimate relative risks. The primary outcome was preeclampsia with severe features within two weeks of enrollment. Secondary outcomes were a composite of severe adverse maternal outcomes (elevated liver enzymes, low platelets count, placental abruption, eclampsia, disseminated intravascular coagulation, and pulmonary edema) and a composite of severe adverse perinatal outcomes (birthweight <3rd percentile, very preterm birth [<32 weeks] and fetal/neonatal death). RESULTS: Out of 543 individuals included in the study, preeclampsia with severe features within two weeks was observed in 33.1% (n=180) of them. A ROC-derived cut-off of 11.5 MoM for sFlt-1/PlGF plasma ratio provided sensitivity (90.6%), specificity (76.9%), positive predictive value (66.0%), negative predictive value (94.3%), positive likelihood ratio (3.91), negative likelihood ratio (0.12), and accuracy (81.4%) for preeclampsia with severe features within two weeks. This cut-off was used to compare test positive cases (≥ cut-off) and test negative cases (< cut-off). Preeclampsia with severe features (66.0% vs. 5.7%; <0.001), and composites of severe adverse maternal (8.11% vs. 2.7%; p=0.006) or perinatal outcomes (41.3% vs. 10.14%; p=0.001) within two weeks were more frequent in test positive cases than test negative cases. sFlt-1/PlGF plasma ratio ≥11.5 MoM was independently associated with preeclampsia with severe features (adjusted incidence rate ratio [aIRR]: 9.08, 95% CI: 6.11 to 14.06; p<0.001) and a composite of severe adverse perinatal outcomes (aIRR: 9.42, 95% CI: 6.36 to 14.53; p<0.001), but not with a composite of severe adverse maternal outcomes (aIRR: 2.20, 95% CI: 0.95 to 5.54; p=0.08).The AUC of sFlt-1/PlGF plasma ratio in MoM (0.91; 95% CI: 0.89-0.94) for preeclampsia with severe features within two weeks was significantly higher (p<0.001 for all comparisons) than either plasma biomarker alone or any other parameter, with the exception of absolute sFlt-1/PlGF plasma ratio values. CONCLUSIONS: SFlt-1/PlGF plasma ratio ≥11.5 MoM among hospitalized, hypertensive patients between 23- and 35-week's gestation predicts progression to preeclampsia with severe features and severe adverse perinatal outcomes within two weeks.

Impact of hypertensive disorders of pregnancy and gestational diabetes mellitus on offspring cardiovascular health in early adolescence.

BACKGROUND: Adverse pregnancy outcomes, including hypertensive disorders of pregnancy and gestational diabetes mellitus, influence maternal cardiovascular health long after pregnancy, but their relationship to offspring cardiovascular health following in-utero exposure remains uncertain. OBJECTIVE: To examine associations of hypertensive disorders of pregnancy or gestational diabetes mellitus with offspring cardiovascular health in early adolescence. STUDY DESIGN: This analysis used data from the prospective Hyperglycemia and Adverse Pregnancy Outcome Study from 2000 to 2006 and the Hyperglycemia and Adverse Pregnancy Outcome Follow-Up Study from 2013 to 2016. This analysis included 3317 mother-child dyads from 10 field centers, comprising 70.8% of Hyperglycemia and Adverse Pregnancy Outcome Follow-Up Study participants. Those with pregestational diabetes and chronic hypertension were excluded. The exposures included having any hypertensive disorders of pregnancy or gestational diabetes mellitus vs not having hypertensive disorders of pregnancy or gestational diabetes mellitus, respectively (reference). The outcome was offspring cardiovascular health when aged 10-14 years, on the basis of 4 metrics: body mass index, blood pressure, total cholesterol level, and glucose level. Each metric was categorized as ideal, intermediate, or poor using a framework provided by the American Heart Association. The primary outcome was defined as having at least 1 cardiovascular health metric that was nonideal vs all ideal (reference), and the second outcome was the number of nonideal cardiovascular health metrics (ie, at least 1 intermediate metric, 1 poor metric, or at least 2 poor metrics vs all ideal [reference]). Modified poisson regression with robust error variance was used and adjusted for covariates at pregnancy enrollment, including field center, parity, age, gestational age, alcohol or tobacco use, child's assigned sex at birth, and child's age at follow-up. RESULTS: Among 3317 maternal-child dyads, the median (interquartile) ages were 30.4 (25.6-33.9) years for pregnant individuals and 11.6 (10.9-12.3) years for children. During pregnancy, 10.4% of individuals developed hypertensive disorders of pregnancy, and 14.6% developed gestational diabetes mellitus. At follow-up, 55.5% of offspring had at least 1 nonideal cardiovascular health metric. In adjusted models, having hypertensive disorders of pregnancy (adjusted risk ratio, 1.14 [95% confidence interval, 1.04-1.25]) or having gestational diabetes mellitus (adjusted risk ratio, 1.10 [95% confidence interval, 1.02-1.19]) was associated with a greater risk that offspring developed less-than-ideal cardiovascular health when aged 10-14 years. The above associations strengthened in magnitude as the severity of adverse cardiovascular health metrics increased (ie, with the outcome measured as ≥1 intermediate, 1 poor, and ≥2 poor adverse metrics), albeit the only statistically significant association was with the "1-poor-metric" exposure. CONCLUSION: In this multinational prospective cohort, pregnant individuals who experienced either hypertensive disorders of pregnancy or gestational diabetes mellitus were at significantly increased risk of having offspring with worse cardiovascular health in early adolescence. Reducing adverse pregnancy outcomes and increasing surveillance with targeted interventions after an adverse pregnancy outcome should be studied as potential avenues to enhance long-term cardiovascular health in the offspring exposed in utero.

Gestational Weight Gain and Neonatal Biometry during the COVID-19 Pandemic: A Multicenter Observational Cohort.

OBJECTIVE: This study aimed to test the hypothesis that being pregnant and delivering during the coronavirus disease 2019 (COVID-19) pandemic was associated with changes in gestational weight gain (GWG) or frequency of small- (SGA) or large-for-gestational-age (LGA) neonates. STUDY DESIGN: Secondary analysis of a multicenter observational cohort comparing pregnant people who delivered during the COVID-19 pandemic (June-December 2020) to people who delivered prior to the pandemic (March-December 2019). Those with multiple gestations, fetuses with major congenital anomalies, implausible GWG values, unavailable body mass index (BMI), or who were severe acute respiratory syndrome coronavirus-2-positive were excluded. The primary outcome was frequency of optimal recommended GWG based on prepregnancy BMI. Neonatal outcomes included birth weight, ponderal index, and frequency of SGA, LGA, and small head circumference for live births. Multivariable regression analysis was used to assess associations between exposure to the pandemic and outcomes. RESULTS: A total of 10,717 pregnant people were included in our analysis. A total of 4,225 pregnant people were exposed to the pandemic and 6,492 pregnant people delivered prior to the COVID-19 pandemic. Pregnant people exposed to the pandemic were older and more likely to have gestational diabetes. The frequency of appropriate GWG was 28.0% during the pandemic and 27.6% before the pandemic (adjusted odds ratio [aOR]: 1.02, 95% confidence interval [CI]: 0.93-1.11). Excessive GWG was more likely (54.9 vs. 53.1%; aOR: 1.08, 95% CI: 1.001-1.17), and inadequate GWG was less likely during the pandemic (17.0 vs. 19.3%; aOR: 0.86, 95% CI: 0.77-0.95). The frequency of SGA was 5.4% during the pandemic and 6.1% before the pandemic (aOR: 0.90, 95% CI: 0.76-1.06), and the frequency of LGA was 16.0% during the pandemic versus 15.0% before the pandemic (aOR: 1.06, 95% CI: 0.95-1.18). Other neonatal outcomes including birth weight percentile (62.1 [35.8-83.2] vs. 60.2 [34.4-82.2]; adjusted mean difference (aMD) = 1.50, 95% CI: -0.28 to 3.29), ponderal index (2.6 g/cm3 [2.4-2.8] in both groups; aMD = 0.01, 95% CI: 0.00-0.02), and small head circumference for livebirths (<10th percentile [8.2 vs. 8.1%; aOR: 1.03, 95% CI: 0.89-1.19], <3rd percentile [3.5 vs. 3.1%; aOR: 1.16, 95% CI: 0.93-1.44]) were similar between groups as well. CONCLUSION: Being pregnant and delivering during the COVID-19 pandemic was associated with a higher likelihood of excessive GWG and a lower likelihood of inadequate GWG. KEY POINTS: · Delivering during the COVID-19 pandemic was associated with higher likelihood of excessive GWG.. · Delivering during the COVID-19 pandemic was associated with lower likelihood of inadequate GWG.. · COVID-19 pandemic was not associated with changes in frequency of SGA or LGA..

Prediction of COVID-19 Severity at Delivery after Asymptomatic or Mild COVID-19 during Pregnancy.

OBJECTIVE: This study aimed to develop a prediction model that estimates the probability that a pregnant person who has had asymptomatic or mild coronavirus disease 2019 (COVID-19) prior to delivery admission will progress in severity to moderate, severe, or critical COVID-19. STUDY DESIGN: This was a secondary analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients who delivered from March through December 2020 at hospitals across the United States. Those eligible for this analysis presented for delivery with a current or previous asymptomatic or mild SARS-CoV-2 infection. The primary outcome was moderate, severe, or critical COVID-19 during the delivery admission through 42 days postpartum. The prediction model was developed and internally validated using stratified cross-validation with stepwise backward elimination, incorporating only variables that were known on the day of hospital admission. RESULTS: Of the 2,818 patients included, 26 (0.9%; 95% confidence interval [CI], 0.6-1.3%) developed moderate-severe-critical COVID-19 during the study period. Variables in the prediction model were gestational age at delivery admission (adjusted odds ratio [aOR], 1.15; 95% CI, 1.08-1.22 per 1-week decrease), a hypertensive disorder in a prior pregnancy (aOR 3.05; 95% CI, 1.25-7.46), and systolic blood pressure at admission (aOR, 1.04; 95% CI, 1.02-1.05 per mm Hg increase). This model yielded an area under the receiver operating characteristic curve of 0.82 (95% CI, 0.72-0.91). CONCLUSION: Among individuals presenting for delivery who had asymptomatic-mild COVID-19, gestational age at delivery admission, a hypertensive disorder in a prior pregnancy, and systolic blood pressure at admission were predictive of delivering with moderate, severe, or critical COVID-19. This prediction model may be a useful tool to optimize resources for SARS-CoV-2-infected pregnant individuals admitted for delivery. KEY POINTS: · Three factors were associated with delivery with more severe COVID-19.. · The developed model yielded an area under the receiver operating characteristic curve of 0.82 and model fit was good.. · The model may be useful tool for SARS-CoV-2 infected pregnancies admitted for delivery..

Postpartum pharmacologic thromboprophylaxis and complications in a US cohort.

BACKGROUND: Venous thromboembolism accounts for approximately 9% of pregnancy-related deaths in the United States. National guidelines recommend postpartum risk stratification and pharmacologic prophylaxis in at-risk individuals. Knowledge on modern rates of postpartum pharmacologic thromboprophylaxis and its associated risks is limited. OBJECTIVE: This study aimed to describe the rate of, and factors associated with, initiation of postpartum pharmacologic prophylaxis for venous thromboembolism, and to assess associated adverse outcomes. STUDY DESIGN: This was a secondary analysis of a multicenter cohort of individuals delivering on randomly selected days at 17 US hospitals (2019-2020). Medical records were reviewed by trained and certified personnel. Those with an antepartum diagnosis of venous thromboembolism, receiving antepartum anticoagulation, or known SARS-CoV-2 infection were excluded. The primary outcome was use of postpartum pharmacologic thromboprophylaxis. Secondary outcomes included bleeding complications, surgical site infection, hospital readmission, and venous thromboembolism through 6 weeks postpartum. The rate of thromboprophylaxis administration was assessed by mode of delivery, institution, and continuance to the outpatient setting. Multivariable regression models were developed using k-fold cross-validation with stepwise backward elimination to evaluate factors associated with thromboprophylaxis administration. Univariable and multivariable logistic models with propensity score covariate adjustment were performed to assess the association between thromboprophylaxis administration and adverse outcomes. RESULTS: Of 21,114 individuals in the analytical cohort, 11.9% (95% confidence interval, 11.4%-12.3%) received postpartum pharmacologic thromboprophylaxis; the frequency of receipt was 29.8% (95% confidence interval, 28.7%-30.9%) following cesarean and 3.5% (95% confidence interval, 3.2%-3.8%) following vaginal delivery. Institutional rates of prophylaxis varied from 0.21% to 34.8%. Most individuals (83.3%) received thromboprophylaxis only as inpatients. In adjusted analysis, cesarean delivery (adjusted odds ratio, 19.17; 95% confidence interval, 16.70-22.00), hysterectomy (adjusted odds ratio, 15.70; 95% confidence interval, 4.35-56.65), and obesity (adjusted odds ratio, 3.45; 95% confidence interval, 3.02-3.95) were the strongest factors associated with thromboprophylaxis administration. Thromboprophylaxis administration was not associated with surgical site infection (0.9% vs 0.6%; odds ratio, 1.48; 95% confidence interval, 0.80-2.74), bleeding complications (0.2% vs 0.1%; odds ratio, 2.60; 95% confidence interval, 0.99-6.80), or postpartum readmission (0.9% vs 0.3%; adjusted odds ratio, 1.38; 95% confidence interval, 0.68-2.81). The overall rate of venous thromboembolism was 0.06% (95% confidence interval, 0.03%-0.10%) and was higher in those receiving prophylaxis (0.2%) compared with those not receiving prophylaxis (0.04%). CONCLUSION: Approximately 1 in 10 patients received postpartum pharmacologic thromboprophylaxis in this US cohort. Rates of prophylaxis varied widely by institution. Cesarean delivery, hysterectomy, and obesity were predominant factors associated with postpartum thromboprophylaxis administration.

Use of non-invasive cardiac monitoring to guide discontinuation of postpartum magnesium sulfate in individuals with preeclampsia with severe features.

OBJECTIVES: To determine the utility of using total peripheral systemic vascular resistance assessed using non-invasive cardiac monitor for individualizing the duration of postpartum magnesium sulfate in individuals with preeclampsia with severe features. STUDY DESIGN: Single center pilot randomized controlled trial in which singleton pregnant individuals with preeclampsia with severe features were randomized to 24 h of postpartum magnesium sulfate per standard of care (control group) or individualized duration of postpartum magnesium sulfate based on reduction in post-delivery systemic vascular resistance (intervention group). Systemic vascular resistance was assessed with non-invasive cardiac monitoring using the Cheetah® system. A 30 % reduction (maintained for 1 h) from baseline post-delivery systemic vascular resistance was used as a cutoff for discontinuation of postpartum magnesium sulfate. Our primary outcome was duration of postpartum magnesium sulfate use in hours. Secondary outcomes included a composite of maternal morbidities associated with preeclampsia. RESULTS: Of 53 individuals enrolled, we excluded 6 from this analysis due to insufficient data to assess primary outcome. Baseline characteristics of the control (n = 26) and intervention (n = 21) groups were similar. Six (28.6 %) individuals in intervention group met the systemic vascular resistance criteria and had their postpartum magnesium sulfate discontinued before 24 h. The duration of postpartum magnesium sulfate infusion was shorter in the intervention group (21.6 ± 4.7 h; range: 7-24 h) compared with control group (24 h, p = 0.02). There was no difference in secondary outcomes between the two groups. There was no difference in adverse outcomes in individuals that had magnesium discontinued earlier than 24 h. CONCLUSION: Non-invasive monitoring of systemic vascular resistance can be a valuable tool to individualize the duration of postpartum magnesium sulfate for preeclampsia with severe features. These findings should be conformed in a larger trial.

Concentrations of Fluoxetine Enantiomers Decline During Pregnancy and Increase After Birth.

RATIONALE: Few studies of the effect of the dynamic physiologic changes during pregnancy on plasma concentrations of fluoxetine (FLX) have been published. OBJECTIVES: We determined the change in concentration to dose (C/D) ratios of R- and S-FLX and R- and S-norfluoxetine monthly during pregnancy and postpartum, assessed their relationships to cytochrome P450 (CYP) 2D6 and CYP2C9 metabolizer phenotypes, and evaluated the course of their depressive and anxiety symptoms. METHODS: In this observational study, 10 FLX-treated pregnant individuals provided blood samples at steady state every 4 weeks during pregnancy and once postpartum for measurement of plasma FLX and norfluoxetine enantiomer concentrations. Participants were genotyped for variants in CYP2C9 and CYP2D6 using commercial assays with Taqman probes. At each assessment, depressive and anxiety symptoms were quantified. RESULTS: The C/D ratios of all FLX and norfluoxetine enantiomers, and the active moiety, decreased steadily through pregnancy and rose after birth. In the final trimester, the mean C/D ratio of the active moiety was 24.9% lower compared with the mean nonpregnant, 12-week postpartum C/D ratio. One individual with CYP2D6 ultrarapid metabolizer status was prescribed the highest FLX dose among participants. In these treated individuals, the mean depressive and anxiety symptoms remained in the mild range across the perinatal period. CONCLUSIONS: These data do not support a recommendation for routine plasma concentration monitoring or CYP2D6 pharmacogenetic testing for pregnant people treated with FLX; however, monitoring for symptom relapse is recommended because of declining plasma drug concentrations.

Association of Mild Iodine Insufficiency during Pregnancy with Child Neurodevelopment in Patients with Subclinical Hypothyroidism or Hypothyroxinemia.

OBJECTIVE: Our objective was to evaluate whether iodine status in pregnant patients with either subclinical hypothyroidism or hypothyroxinemia in the first half of pregnancy is associated with measures of behavior and neurodevelopment in children through the age of 5 years. STUDY DESIGN: This is a secondary analysis of a multicenter study consisting of two randomized, double-masked, placebo-controlled treatment trials conducted in parallel. Patients with a singleton gestation before 20 weeks' gestation underwent thyroid screening using serum thyrotropin and free thyroxine. Participants with subclinical hypothyroidism or hypothyroxinemia were randomized to levothyroxine replacement or an identical placebo. At randomization, maternal urine was collected and stored for subsequent urinary iodine excretion analysis. Urinary iodine concentrations greater than 150 µg/L were considered iodine sufficient, and concentrations of 150 µg/L or less were considered iodine insufficient. The primary outcome was a full-scale intelligence quotient (IQ) score at the age of 5 years, the general conceptual ability score from the Differential Ability Scales-II at the age of 3 if IQ was not available, or death before 3 years. RESULTS: A total of 677 pregnant participants with subclinical hypothyroidism and 526 with hypothyroxinemia were randomized. The primary outcome was available in 1,133 (94%) of children. Overall, 684 (60%) of mothers were found to have urinary iodine concentrations >150 µg/L. Children of iodine-sufficient participants with subclinical hypothyroidism had similar primary outcome scores when compared to children of iodine-insufficient participants (95 [84-105] vs. 96 [87-109], P adj = 0.73). After adjustment, there was also no difference in IQ scores among children of participants with hypothyroxinemia at 5 to 7 years of age (94 [85 - 102] and 91 [81 - 100], Padj 1/4 0.11). Treatment with levothyroxine was not associated with neurodevelopmental or behavioral outcomes regardless of maternal iodine status (p > 0.05). CONCLUSION: Maternal urinary iodine concentrations ≤150 µg/L were not associated with abnormal cognitive or behavioral outcomes in offspring of participants with either subclinical hypothyroidism or hypothyroxinemia. KEY POINTS: · Most pregnant patients with subclinical thyroid disease are iodine sufficient.. · Mild maternal iodine insufficiency is not associated with lower offspring IQ at 5 years.. · Iodine supplementation in subclinical thyroid disease is unlikely to improve IQ..

Breastfeeding Initiation, Duration, and Associated Factors Among People With Hepatitis C Virus Infection.

OBJECTIVE: To characterize breastfeeding behaviors and identify factors associated with breastfeeding initiation among people with hepatitis C virus (HCV) infection. METHODS: We conducted a secondary analysis of a multicenter observational cohort of pregnant people with singleton gestations and HCV seropositivity. This analysis includes individuals with data on breastfeeding initiation and excludes those with human immunodeficiency virus (HIV) co-infection. The primary outcome was self-reported initiation of breastfeeding or provision of expressed breast milk. Secondary outcomes included duration of breastfeeding. Demographic and obstetric characteristics were compared between those who initiated breastfeeding and those who did not to identify associated factors. Univariable and multivariable analyses were performed. RESULTS: Overall, 579 individuals (75.0% of participants in the parent study) were included. Of those, 362 (62.5%) initiated breastfeeding or provided breast milk to their infants, with a median duration of breastfeeding of 1.4 months (interquartile range 0.5-6.0). People with HCV viremia , defined as a detectable viral load at any point during pregnancy, were less likely to initiate breastfeeding than those who had an undetectable viral load (59.4 vs 71.9%, adjusted odds ratio [aOR] 0.61, 95% CI, 0.41-0.92). People with private insurance were more likely to initiate breastfeeding compared with those with public insurance or no insurance (80.0 vs 60.1%; aOR 2.43, 95% CI, 1.31-4.50). CONCLUSION: Although HCV seropositivity is not a contraindication to breastfeeding regardless of viral load, rates of breastfeeding initiation were lower among people with HCV viremia than among those with an undetectable viral load. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov , NCT01959321 .

Challenges in Conducting Clinical Trials for Preeclampsia.

PURPOSE OF REVIEW: To review recent data describing the challenges and innovations in therapeutic research focused on the prevention and treatment of preeclampsia. RECENT FINDINGS: Pregnant individuals have traditionally been excluded from therapeutic research, resulting in a paucity of innovation in therapeutics for pregnancy-specific medical conditions, especially preeclampsia. With the increased awareness of maternal morbidity and mortality, there is significant interest among researchers to expand therapeutic research in pregnancy. Several medications, including aspirin, pravastatin, metformin, and esomeprazole, which are commonly used in non-pregnant populations, are now being investigated for preeclampsia prevention. However, given the historic precedent of exclusion, along with the regulatory, ethical, and feasibility concerns that accompany this population, the study of these and novel medications has been complicated by numerous challenges. While complex, and laden with challenges, there is great ongoing need for therapeutic research to address preeclampsia. Aspirin, pravastatin, metformin, and esomeprazole have all shown promise as potential therapeutic agents; however, their use remains to be optimized, and innovative therapeutics need to be developed.

Desirability of outcome ranking for obstetrical trials: illustration and application to the ARRIVE trial.

BACKGROUND: In randomized trials, 1 primary outcome is typically chosen to evaluate the consequences of an intervention, whereas other important outcomes are relegated to secondary outcomes. This issue is amplified for many obstetrical trials in which an intervention may have consequences for both the pregnant person and the child. In contrast, desirability of outcome ranking, a paradigm shift for the design and analysis of clinical trials based on patient-centric evaluation, allows multiple outcomes-including from >1 individual-to be considered concurrently. OBJECTIVE: This study aimed to describe desirability of outcome ranking methodology tailored to obstetrical trials and to apply the methodology to maternal-perinatal paired (dyadic) outcomes in which both individuals may be affected by an intervention but may experience discordant outcomes (eg, an obstetrical intervention may improve perinatal but worsen maternal outcomes). STUDY DESIGN: This secondary analysis applies the desirability of outcome ranking methodology to data from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network ARRIVE trial. The original analysis found no substantial difference in the primary (perinatal composite) outcome, but a decreased risk of the secondary outcome of cesarean delivery with elective induction at 39 weeks. In the present desirability-of-outcome-ranking analysis, dyadic outcomes ranging from spontaneous vaginal delivery without severe neonatal complication (most desirable) to cesarean delivery with perinatal death (least desirable) were classified into 8 categories ranked by overall desirability by experienced investigators. Distributions of the desirability of outcome ranking were compared by estimating the probability of having a more desirable dyadic outcome with elective induction at 39 weeks of gestation than with expectant management. To account for various perspectives on these outcomes, a complementary analysis, called the partial credit strategy, was used to grade outcomes on a 100-point scale and estimate the difference in overall treatment scores between groups using a t test. RESULTS: All 6096 participants from the trial were included. The probability of a better dyadic outcome for a randomly selected patient who was randomized to elective induction was 53% (95% confidence interval, 51-54), implying that elective induction led to a better overall outcome for the dyad when taking multiple outcomes into account concurrently. Furthermore, the desirability-of-outcome-ranking probability of averting cesarean delivery with elective induction was 52% (95% confidence interval, 51-53), which was not at the expense of an operative vaginal delivery or a poorer outcome for the perinate (ie, survival with a severe neonatal complication or perinatal death). Randomization to elective induction was also advantageous in most of the partial credit score scenarios. CONCLUSION: Desirability-of-outcome-ranking methodology is a useful tool for obstetrical trials because it provides a concurrent view of the effect of an intervention on multiple dyadic outcomes, potentially allowing for better translation of data for decision-making and person-centered care.

Patient Priorities, Decisional Comfort, and Satisfaction with Metformin versus Insulin for the Treatment of Gestational Diabetes Mellitus.

OBJECTIVE: We compared patient priorities, decisional comfort, and satisfaction with treating gestational diabetes mellitus (GDM) with metformin versus insulin among pregnant individuals with GDM requiring pharmacotherapy. STUDY DESIGN: We conducted a cross-sectional study of patients' perspectives about GDM pharmacotherapy in an integrated prenatal and diabetes care program from October 19, 2022, to August 24, 2023. The exposure was metformin versus insulin as the initial medication decision. Outcomes included standardized measures of patient priorities, decisional comfort, and satisfaction about their medication decision. RESULTS: Among 144 assessed individuals, 60.4% were prescribed metformin and 39.6% were prescribed insulin. Minoritized individuals were more likely to receive metformin compared with non-Hispanic White individuals (34.9 vs. 17.5%; p = 0.03). Individuals who were willing to participate in a GDM pharmacotherapy clinical trial were more likely to receive insulin than those who were unwilling (30.4 vs. 19.5%; p = 0.02). Individuals receiving metformin were more likely to report prioritizing avoiding injections (62.4 vs. 19.3%; adjusted odds ratio [aOR]: 2.83; 95% confidence interval [CI]: 1.10-7.31), wanting to take a medication no more than twice daily (56.0 vs. 30.4%; aOR: 3.67; 95% CI: 1.56-8.67), and believing that both medications can equally prevent adverse pregnancy outcomes (70.9 vs. 52.6%; aOR: 2.67; 95% CI: 1.19-6.03). Conversely, they were less likely to report prioritizing a medication that crosses the placenta (39.1 vs. 82.5%; aOR: 0.09; 95% CI: 0.03-0.25) and needing supplemental insulin to achieve glycemic control (21.2 vs. 47.4%; aOR: 0.36; 95% CI: 0.15-0.90). Individuals reported similarly high (mean score > 80%) levels of decisional comfort, personal satisfaction with medication decision-making, and satisfaction about their conversation with their provider about their medication decision with metformin and insulin (p ≥ 0.05 for all). CONCLUSION: Individuals with GDM requiring pharmacotherapy reported high levels of decision comfort and satisfaction with both metformin and insulin, although they expressed different priorities in medication decision-making. These results can inform future patient-centered GDM treatment strategies. KEY POINTS: · Pregnant individuals with GDM requiring pharmacotherapy expressed a high level of decisional comfort and satisfaction with medication decision making.. · Individuals placed different priorities on deciding to take metformin versus insulin.. · These results can inform interventions aimed at delivering person-centered diabetes care in pregnancy that integrates patient autonomy and knowledge about treatment options..

Researching COVID to enhance recovery (RECOVER) pregnancy study: Rationale, objectives and design.

IMPORTANCE: Pregnancy induces unique physiologic changes to the immune response and hormonal changes leading to plausible differences in the risk of developing post-acute sequelae of SARS-CoV-2 (PASC), or Long COVID. Exposure to SARS-CoV-2 during pregnancy may also have long-term ramifications for exposed offspring, and it is critical to evaluate the health outcomes of exposed children. The National Institutes of Health (NIH) Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC aims to evaluate the long-term sequelae of SARS-CoV-2 infection in various populations. RECOVER-Pregnancy was designed specifically to address long-term outcomes in maternal-child dyads. METHODS: RECOVER-Pregnancy cohort is a combined prospective and retrospective cohort that proposes to enroll 2,300 individuals with a pregnancy during the COVID-19 pandemic and their offspring exposed and unexposed in utero, including single and multiple gestations. Enrollment will occur both in person at 27 sites through the Eunice Kennedy Shriver National Institutes of Health Maternal-Fetal Medicine Units Network and remotely through national recruitment by the study team at the University of California San Francisco (UCSF). Adults with and without SARS-CoV-2 infection during pregnancy are eligible for enrollment in the pregnancy cohort and will follow the protocol for RECOVER-Adult including validated screening tools, laboratory analyses and symptom questionnaires followed by more in-depth phenotyping of PASC on a subset of the overall cohort. Offspring exposed and unexposed in utero to SARS-CoV-2 maternal infection will undergo screening tests for neurodevelopment and other health outcomes at 12, 18, 24, 36 and 48 months of age. Blood specimens will be collected at 24 months of age for SARS-CoV-2 antibody testing, storage and anticipated later analyses proposed by RECOVER and other investigators. DISCUSSION: RECOVER-Pregnancy will address whether having SARS-CoV-2 during pregnancy modifies the risk factors, prevalence, and phenotype of PASC. The pregnancy cohort will also establish whether there are increased risks of adverse long-term outcomes among children exposed in utero. CLINICAL TRIALS.GOV IDENTIFIER: Clinical Trial Registration: http://www.clinicaltrials.gov. Unique identifier: NCT05172011.

Noninvasive Bioelectronic Treatment of Postcesarean Pain: A Randomized Clinical Trial.

Importance: Improved strategies are needed to decrease opioid use after cesarean delivery but still adequately control postoperative pain. Although transcutaneous electrical stimulation devices have proven effective for pain control after other surgical procedures, they have not been tested as part of a multimodal analgesic protocol after cesarean delivery, the most common surgical procedure in the United States. Objective: To determine whether treatment with a noninvasive high-frequency electrical stimulation device decreases opioid use and pain after cesarean delivery. Design, Setting, and Participants: This triple-blind, sham-controlled randomized clinical trial was conducted from April 18, 2022, to January 31, 2023, in the labor and delivery unit at a single tertiary academic medical center in Ohio. Individuals were eligible for the study if they had a singleton or twin gestation and underwent a cesarean delivery. Of 267 people eligible for the study, 134 (50%) were included. Intervention: Participants were randomly assigned in a 1:1 ratio to a high-frequency (20 000 Hz) electrical stimulation device group or to an identical-appearing sham device group and received 3 applications at the incision site in the first 20 to 30 hours postoperatively. Main Outcomes and Measures: The primary outcome was inpatient postoperative opioid use, measured in morphine milligram equivalents (MME). Secondary outcomes included pain scores, measured with the Brief Pain Inventory questionnaire (scale, 0-10, with 0 representing no pain), MME prescribed at discharge, and receipt of additional opioid prescriptions in the postpartum period. Normally distributed data were assessed using t tests; otherwise via Mann-Whitney or χ2 tests as appropriate. Analyses were completed following intention-to-treat principles. Results: Of 134 postpartum individuals who underwent a cesarean delivery (mean [SD] age, 30.5 [4.6] years; mean [SD] gestational age at delivery, 38 weeks 6 days [8 days]), 67 were randomly assigned to the functional device group and 67 to the sham device group. Most were multiparous, had prepregnancy body mass index (calculated as weight in kilograms divided by height in meters squared) higher than 30, were privately insured, and received spinal anesthesia. One participant in the sham device group withdrew consent prior to treatment. Individuals assigned to the functional device used significantly less opioid medication prior to discharge (median [IQR], 19.75 [0-52.50] MME) than patients in the sham device group (median [IQR], 37.50 [7.50-67.50] MME; P = .046) and reported similar rates of moderate to severe pain (85% vs 91%; relative risk [RR], 0.77 [95% CI, 0.55-1.29]; P = .43) and mean pain scores (3.59 [95% CI, 3.21-3.98] vs 4.46 [95% CI, 4.01-4.92]; P = .004). Participants in the functional device group were prescribed fewer MME at discharge (median [IQR], 82.50 [0-90.00] MME vs 90.00 [75.00-90.00] MME; P < .001). They were also more likely to be discharged without an opioid prescription (25% vs 10%; RR, 1.58 [95% CI, 1.08-2.13]; P = .03) compared with the sham device group. No treatment-related adverse events occurred in either group. Conclusions and Relevance: In this randomized clinical trial of postoperative patients following cesarean delivery, use of a high-frequency electrical stimulation device as part of a multimodal analgesia protocol decreased opioid use in the immediate postoperative period and opioids prescribed at discharge. These findings suggest that the use of this device may be a helpful adjunct to decrease opioid use without compromising pain control after cesarean delivery.

Genetic Predisposition to Adverse Neurodevelopmental Outcome of Extremely Low Birth Weight Infants.

OBJECTIVE: This study aimed to evaluate whether there are genetic variants associated with adverse neurodevelopmental outcomes in extremely low birth weight (ELBW) infants. STUDY DESIGN: We conducted a candidate gene association study in two well-defined cohorts of ELBW infants (<1,000 g). One cohort was for discovery and the other for replication. The discovery case-control analysis utilized anonymized DNA samples and evaluated 1,614 single-nucleotide polymorphisms (SNPs) in 145 genes concentrated in inflammation, angiogenesis, brain development, and oxidation pathways. Cases were children who died by age one or who were diagnosed with cerebral palsy (CP) or neurodevelopmental delay (Bayley II mental developmental index [MDI] or psychomotor developmental index [PDI] < 70) by 18 to 22 months. Controls were survivors with normal neurodevelopment. We assessed significant epidemiological variables and SNPs associated with the combined outcome of CP or death, CP, mental delay (MDI < 70) and motor delay (PDI < 70). Multivariable analyses adjusted for gestational age at birth, small for gestational age, sex, antenatal corticosteroids, multiple gestation, racial admixture, and multiple comparisons. SNPs associated with adverse neurodevelopmental outcomes with p < 0.01 were selected for validation in the replication cohort. Successful replication was defined as p < 0.05 in the replication cohort. RESULTS: Of 1,013 infants analyzed (452 cases, 561 controls) in the discovery cohort, 917 were successfully genotyped for >90% of SNPs and passed quality metrics. After adjusting for covariates, 26 SNPs with p < 0.01 for one or more outcomes were selected for replication cohort validation, which included 362 infants (170 cases and 192 controls). A variant in SERPINE1, which encodes plasminogen activator inhibitor (PAI1), was associated with the combined outcome of CP or death in the discovery analysis (p = 4.1 × 10-4) and was significantly associated with CP or death in the replication cohort (adjusted odd ratio: 0.4; 95% confidence interval: 0.2-1.0; p = 0.039). CONCLUSION: A genetic variant in SERPINE1, involved in inflammation and coagulation, is associated with CP or death among ELBW infants. KEY POINTS: · Early preterm and ELBW infants have dramatically increased risks of CP and developmental delay.. · A genetic variant in SERPINE1 is associated with CP or death among ELBW infants.. · The SERPINE1 gene encodes the serine protease inhibitor plasminogen activator inhibitor..

Association between glycemic control and group B streptococcus colonization among pregnant individuals with pregestational diabetes.

PROBLEM: Pregestational diabetes increases the risk of group B streptococcus (GBS) colonization in pregnancy. Whether glycemic control is associated with differences in this risk is unknown. We examined the association between glycemic control and GBS colonization among pregnant individuals with pregestational diabetes. METHOD OF STUDY: A retrospective cohort of pregnant individuals with pregestational diabetes at a tertiary care center. The exposure was glycemic control, measured as hemoglobin A1c (A1c) at >20 weeks and assessed categorically at thresholds of <6.5% and <6.0%, and secondarily, as a continuous percentage. The outcome was maternal GBS colonization. Multivariable logistic regression was used and adjusted for age, parity, race, and ethnicity as a social determinant, body mass index, type of diabetes, and gestational age at A1c assessment. RESULTS: Among 305 individuals (33% Type 1, 67% type 2), 45.0% (n = 140) were colonized with GBS. Individuals with an A1c < 6.5% were half as likely to be colonized with GBS compared with those with a A1c ≥ 6.5% (38.8% vs. 53.9%; adjusted odds ratio, AOR: 0.55; 95% CI: 0.33-0.91). Results were unchanged at an A1c threshold of <6.0% (35.7% vs. 48.5%; AOR: 0.60; 95% CI: 0.36-0.98). Individuals with a higher A1c as a continuous measure (%) were more likely to be colonized (AOR: 1.57 per 1%; 95% CI: 1.25-1.97). CONCLUSIONS: Pregnant individuals with pregestational diabetes with worse glycemic control were at an increased risk of GBS colonization. Further study is needed to understand if improved glycemic control leads to lower risk of GBS colonization.

A Prediction Model for Severe Maternal Morbidity and Mortality After Delivery Hospitalization.

OBJECTIVE: To develop a risk stratification model for severe maternal morbidity (SMM) or mortality after the delivery hospitalization based on information available at the time of hospital discharge. METHODS: This population-based cohort study included all pregnancies among Ohio residents with Medicaid insurance from 2012 to 2017. Pregnant individuals were identified using linked live birth and fetal death records and Medicaid claims data. Inclusion was restricted to those with continuous postpartum Medicaid enrollment and delivery at 20 or more weeks of gestation. The primary outcome of the study was SMM or mortality after the delivery hospitalization and was assessed up to 42 days postpartum and up to 1 year postpartum separately. Variables considered for the model included patient-, obstetric health care professional-, and system-level data available in vital records or Medicaid claims data. Parsimonious models were created with logistic regression and were internally validated. Receiver operating characteristic curves were used to evaluate model performance, and model calibration was assessed. RESULTS: There were 343,842 pregnant individuals who met inclusion criteria with continuous Medicaid enrollment through 42 days postpartum and 287,513 with continuous enrollment through 1 year. After delivery hospitalization discharge, the incidence of SMM or mortality was 140.5 per 10,000 pregnancies through 42 days of delivery and 330.7 per 10,000 pregnancies through 1 year postpartum. The final model predicting SMM or mortality through 42 days postpartum included maternal prepregnancy body mass index, age, gestational age at delivery, mode of delivery, chorioamnionitis, and maternal diagnosis of cardiac disease, preeclampsia or gestational hypertension, or a mental health condition. Similar variables were included in the model predicting SMM or mortality through 365 days with chronic hypertension, pregestational diabetes, and illicit substance use added and chorioamnionitis removed. Both models demonstrated moderate prediction (area under the curve [AUC] 0.77, 95% CI 0.76-0.78 for 42-day model; AUC 0.72, 95% CI 0.71-0.73 for the 1-year model) and good calibration. CONCLUSION: A prediction model for SMM or mortality up to 1 year postpartum was created and internally validated with information available to health care professionals at the time of hospital discharge. The utility of this model for patient counseling and strategies to optimize postpartum care for high-risk individuals will require further evaluation.

Increasing rates of sars-cov-2 infection in newborns during the omicron variant epoch.

PROBLEM: Transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from infected pregnant individuals to the fetus or newborn occurs from 1.2% to 4.3%. Our aim was to determine the rate of positivity among newborns delivered to infected mothers during epochs of different variants predominance. METHOD OF STUDY: This is a single academic center retrospective cohort study where we reviewed the electronic health records of pregnant individuals who tested positive for SARS-CoV-2 infection and their newborns from March 2020 through January 2022. Infants born to SARS-CoV-2-positive mothers at the time of delivery or within 10 days of admission were tested for SARS-CoV-2 infection at 24-36 h of age. RESULTS: A total of 195 mothers were positive at delivery or within 10 days of admission and had their newborns tested for SARS-CoV-2. Seven newborns (3.6%) were positive. All positive infants were asymptomatic and born to unvaccinated mothers. Newborn positivity for SARS-CoV-2 was highest during the Omicron epoch (9.4%, p = .01). CONCLUSION: Increasing positivity rate was seen during the Omicron variant predominance. This could be attributed to postnatal acquisition of the virus, as Omicron has been associated with higher transmissibility in older children and adults.