Development and Validation of a Predictive Tool for Postpartum Hemorrhage after Vaginal Delivery: A Prospective Cohort Study

Postpartum hemorrhage (PPH) is one of the leading causes of maternal morbidity worldwide. This study aimed to develop and validate a predictive model for PPH after vaginal deliveries, based on routinely available clinical and biological data. The derivation monocentric cohort included pregnant women with vaginal delivery at Brest University Hospital (France) between April 2013 and May 2015. Immediate PPH was defined as a blood loss of ≥500 mL in the first 24 h after delivery and measured with a graduated collector bag. A logistic model, using a combination of multiple imputation and variable selection with bootstrap, was used to construct a predictive model and a score for PPH. An external validation was performed on a prospective cohort of women who delivered between 2015 and 2019 at Brest University Hospital. Among 2742 deliveries, PPH occurred in 141 (5.1%) women. Eight factors were independently associated with PPH: pre-eclampsia (aOR 6.25, 95% CI 2.35–16.65), antepartum bleeding (aOR 2.36, 95% CI 1.43–3.91), multiple pregnancy (aOR 3.24, 95% CI 1.52–6.92), labor duration ≥ 8 h (aOR 1.81, 95% CI 1.20–2.73), macrosomia (aOR 2.33, 95% CI 1.36–4.00), episiotomy (aOR 2.02, 95% CI 1.40–2.93), platelet count < 150 Giga/L (aOR 2.59, 95% CI 1.47–4.55) and aPTT ratio ≥ 1.1 (aOR 2.01, 95% CI 1.25–3.23). The derived predictive score, ranging from 0 to 10 (woman at risk if score ≥ 1), demonstrated a good discriminant power (AUROC 0.69; 95% CI 0.65–0.74) and calibration. The external validation cohort was composed of 3061 vaginal deliveries. The predictive score on this independent cohort showed an acceptable ability to discriminate (AUROC 0.66; 95% CI 0.62–0.70). We derived and validated a robust predictive model identifying women at risk for PPH using in-depth statistical methodology. This score has the potential to improve the care of pregnant women and to take preventive actions on them

Excessive gestational weight gain is an independent risk factor for gestational diabetes mellitus in singleton pregnancies: Results from a French cohort study

Objective: Increase in prevalence of maternal obesity worldwide raises concern among health professionals. Our purpose was to evaluate the impact of maternal obesity and of excessive gestational weight gain (GWG) on the course of singleton pregnancies in a French maternity ward.Study design: 3599 consecutive women who delivered from April 2013 to May 2015 at Brest University Hospital were included in HPP-IPF cohort study, a study designed to evaluate clinical and biological determinants of postpartum hemorrhage (PPH). Maternal obesity was defined by a pre-pregnancy Body Mass Index (BMI) ≥ 30 kg/m2 and excessive GWG was defined according to the Institute of Medicine 2009 guidelines. Obstetric complications(including gestational diabetes mellitus (GDM), gestational hypertension, pre-eclampsia, venous thromboembolism, PPH, cesarean section (C-section) and macrosomia) were collected prospectively in a standardized case report form. For each complication, Odd Ratios (OR) according to pre-pregnancy BMI and GWG were calculated in univariable and multivariable analyses.Results: Out of the 3162 women analyzed for this report, 583 (18.4%) were overweight, 400 (12.7%) were obese and 36.6% had excessive GWG. In multivariable analysis, after adjustment for confounding factors, obese women were at increased risk of GDM (OR 5.83, 95%CI 4.37-7.79), PPH (OR 1.69, 95%CI 1.19-2.41), C-section (OR 2.50, 95%CI 1.92-3.26) and macrosomia (OR 1.90, 95%CI 1.31-2.76). Similarly, women with excessive GWG were at increased risk of GDM (OR 1.55, 95%CI 1.17-2.06), C-section (OR 1.46, 95%CI 1.16-1.83) and macrosomia (OR 2.09, 95%CI 1.50-2.91).Conclusions: Maternal obesity and excessive GWG are independent risk factors for GDM, C-section and macrosomia in singleton pregnancies. Further studies are needed to evaluate if a lifestyle intervention aiming at avoiding excessive GWG could improve clinical outcomes in pregnant women