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BackgroundGestational weight gain (GWG) and anthropometric trajectories may affect foetal programming and are potentially modifiable.ObjectivesTo assess concomitant patterns of change in weight, circumferences and adiposity across gestation as an integrated prenatal exposure, and determine how they relate to neonatal body composition.MethodsData are from a prospective cohort of singleton pregnancies (n = 2182) enrolled in United States perinatal centres, 2009-2013. Overall and by prepregnancy BMI group (overweight/obesity and healthy weight), joint latent trajectory models were fit with prenatal weight, mid-upper arm circumference (MUAC), triceps (TSF) and subscapular (SSF) skinfolds. Differences in neonatal body composition by trajectory class were assessed via weighted least squares.ResultsSix trajectory patterns reflecting co-occurring changes in weight and MUAC, SSF and TSF across pregnancy were identified overall and by body mass index (BMI) group. Among people with a healthy weight BMI, some differences were observed for neonatal subcutaneous adipose tissue, and among individuals with overweight/obesity some differences in neonatal lean mass were found. Neonatal adiposity measures were higher among infants born to individuals with prepregnancy overweight/obesity.ConclusionsSix integrated trajectory patterns of prenatal weight, subcutaneous adipose tissue and circumferences were observed that were minimally associated with neonatal body composition, suggesting a stronger influence of prepregnancy BMI.

OBJECTIVE:  This study aimed to evaluate fetal biometrics as predictors of shoulder dystocia (SD) in a low-risk obstetrical population. STUDY DESIGN:  Participants were enrolled as part of a U.S.-based prospective cohort study of fetal growth in low-risk singleton gestations (n = 2,802). Eligible women had liveborn singletons ≥2,500 g delivered vaginally. Sociodemographic, anthropometric, and pregnancy outcome data were abstracted by research staff. The diagnosis of SD was based on the recorded clinical impression of the delivering physician. Simple logistic regression models were used to examine associations between fetal biometrics and SD. Fetal biometric cut points, selected by Youdens J and clinical determination, were identified to optimize predictive capability. A final model for SD prediction was constructed using backward selection. Our dataset was randomly divided into training (60%) and test (40%) datasets for model building and internal validation. RESULTS:  A total of 1,691 women (98.7%) had an uncomplicated vaginal delivery, while 23 (1.3%) experienced SD. There were no differences in sociodemographic or maternal anthropometrics between groups. Epidural anesthesia use was significantly more common (100 vs. 82.4%; p = 0.03) among women who experienced SD compared with those who did not. Amniotic fluid maximal vertical pocket was also significantly greater among SD cases (5.8 ± 1.7 vs. 5.1 ± 1.5 cm; odds ratio = 1.32 [95% confidence interval: 1.03,1.69]). Several fetal biometric measures were significantly associated with SD when dichotomized based on clinically selected cut-off points. A final prediction model was internally valid with an area under the curve of 0.90 (95% confidence interval: 0.81, 0.99). At a model probability of 1%, sensitivity (71.4%), specificity (77.5%), positive (3.5%), and negative predictive values (99.6%) did not indicate the ability of the model to predict SD in a clinically meaningful way. CONCLUSION:  Other than epidural anesthesia use, neither sociodemographic nor maternal anthropometrics were significantly associated with SD in this low-risk population. Both individually and in combination, fetal biometrics had limited ability to predict SD and lack clinical usefulness. KEY POINTS: · SD unpredictable in low-risk women.. · Fetal biometry does not reliably predict SD.. · Epidural use associated with increased SD risk.. · SD prediction models clinically inefficient..

BackgroundThe benefits and safety of the treatment of mild chronic hypertension (blood pressure,

Background: Studies suggest breastfeeding lowers obesity risk in childhood, but generalizability of existing evidence is limited. We examined associations of breastfeeding with childhood overweight, obesity, and percentage body fat, in a racially diverse maternal-child cohort. Methods: This cross-sectional study included 823 children, ages 4-8 years, enrolled in the Environmental Exposures and Child Health Outcomes (ECHO) cohort, a subset of the National Institute of Child Health and Human Development Fetal Growth Studies cohort. Logistic regression was used to estimate odds ratios and 95% confidence intervals (CIs) for overweight [BMI (kg/m2) 85th to

BACKGROUND:Open maternal-fetal surgery for fetal myelomeningocele results in reduction in neonatal morbidity related to spina bifida but may be associated with fetal, neonatal, and maternal complications in subsequent pregnancies. OBJECTIVE:The objective of this study was to ascertain obstetric risk in subsequent pregnancies after open maternal-fetal surgery for fetal myelomeningocele closure. STUDY DESIGN:An international multicenter prospective observational registry created to track and report maternal, obstetric, fetal/neonatal, and subsequent pregnancy outcomes following open maternal-fetal surgery for fetal myelomeningocele was evaluated for subsequent pregnancy outcome variables. Institutional Review Board approval was obtained for the registry. RESULTS:From 693 cases of open maternal-fetal surgery for fetal myelomeningocele closure entered into the registry, 77 subsequent pregnancies in 60 women were identified. The overall live birth rate was 96.2%, with 52 pregnancies delivering beyond 20 weeks gestational age and median gestational age at delivery of 37 (36.3-37.1) weeks. The uterine rupture rate was 9.6% (n = 5), resulting in 2 fetal deaths. Maternal transfusion was required in 4 patients (7.7%). CONCLUSION:The risk of uterine rupture or dehiscence in subsequent pregnancies with associated fetal morbidity after open maternal-fetal surgery is significant, but is similar to that reported for subsequent pregnancies after classical cesarean deliveries. Future pregnancy considerations should be included in initial counseling for women contemplating open maternal-fetal surgery.

Objective This study aimed to evaluate fetal biometrics as predictors of shoulder dystocia (SD) in a low-risk obstetrical population. Study Design Participants were enrolled as part of a U.S.-based prospective cohort study of fetal growth in low-risk singleton gestations (n = 2,802). Eligible women had liveborn singletons ≥2,500 g delivered vaginally. Sociodemographic, anthropometric, and pregnancy outcome data were abstracted by research staff. The diagnosis of SD was based on the recorded clinical impression of the delivering physician. Simple logistic regression models were used to examine associations between fetal biometrics and SD. Fetal biometric cut points, selected by Youden's J and clinical determination, were identified to optimize predictive capability. A final model for SD prediction was constructed using backward selection. Our dataset was randomly divided into training (60%) and test (40%) datasets for model building and internal validation. Results A total of 1,691 women (98.7%) had an uncomplicated vaginal delivery, while 23 (1.3%) experienced SD. There were no differences in sociodemographic or maternal anthropometrics between groups. Epidural anesthesia use was significantly more common (100 vs. 82.4%; p = 0.03) among women who experienced SD compared with those who did not. Amniotic fluid maximal vertical pocket was also significantly greater among SD cases (5.8 ± 1.7 vs. 5.1 ± 1.5 cm; odds ratio = 1.32 [95% confidence interval: 1.03,1.69]). Several fetal biometric measures were significantly associated with SD when dichotomized based on clinically selected cut-off points. A final prediction model was internally valid with an area under the curve of 0.90 (95% confidence interval: 0.81, 0.99). At a model probability of 1%, sensitivity (71.4%), specificity (77.5%), positive (3.5%), and negative predictive values (99.6%) did not indicate the ability of the model to predict SD in a clinically meaningful way. Conclusion Other than epidural anesthesia use, neither sociodemographic nor maternal anthropometrics were significantly associated with SD in this low-risk population. Both individually and in combination, fetal biometrics had limited ability to predict SD and lack clinical usefulness. Key Points SD unpredictable in low-risk women. Fetal biometry does not reliably predict SD. Epidural use associated with increased SD risk. SD prediction models clinically inefficient. [ABSTRACT FROM AUTHOR]

To apply scientometric methodology to characterize influential articles in the Journal of Perinatal Medicine (JPM). We performed a cross-sectional study of all JPM articles indexed in Clarivate Web of Science (WOS), NIH Open Citation Collection, and Altmetric Explorer databases (1973–2022). We identified articles cited ≥100 times in WOS and articles with highest Relative Citation Ratios (RCR, a metric of influence based on citations) and highest Altmetric Attention Scores (AAS, a metric of engagement with social media and public platforms). We performed descriptive analysis to characterize influential articles based on citation rates vs. highest AAS, and quantile regression with bootstrapping to estimate the median differences (95% confidence intervals). We identified 4095 JPM articles that were indexed in the WOS, of which 3,959 (96.7%) had RCRs and 939 (22.9%) had AASs. The study cohort included 34 articles cited ≥100 times and the 34 top-RCR and 34 top-AAS articles, representing 83 unique articles. These influential articles had median 67 citations (IQR 17–114), median RCR 3.4 (IQR 1.7–5.0), and median AAS 14 (IQR 3–28). The majority were observational studies and reviews. Compared to top-AAS articles, top-cited articles had higher median citations (117 [IQR 111–147] vs. 13 [IQR 5–62]; median difference 104.0, 95% CI 86.6–121.4) and citations per year (7.3 [IQR 4.9–10.6] vs. 2.3 [0.7–4.6]; median difference 5.5 [95% CI 3.1–7.9]). Results were similar for top-RCR vs. top-AAS articles. We identified influential articles during 50 years of JPM, providing insight into the impact of the journal and providing a template for future studies of academic journals. [ABSTRACT FROM AUTHOR]