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Background: To investigate the association between maternal body mass index (BMI) at delivery and the risk of caesarean section due to dystocia during the first stage of labour in low risk pregnancies., Methods: Historical cohort study that included 6,949 low risk women who delivered at the Medical University of South Carolina from 1994 to 2004, presenting a singleton birth at term, and a vaginal delivery attempt by spontaneous labour. Women presenting large for gestational age newborns were excluded. Adjusted odds ratios (ORs) for caesarean section due to dystocia and for caesarean section due to other reasons were estimated using a multinomial regression logistic model and compared using the Wald's test., Results: Women with a BMI >=30 kg/m(2), of maternal age >=30 years and nulliparas had an increased rate of caesarean section delivery either due to dystocia or for other reasons. Newborn weight >=3,500 g, races other than Caucasian, age between 25 and 29 years, BMI between 25 and 29.9 kg/m(2), and fetal membranes rupture more than 24 h before the onset of the labour were associated with an increased rate of caesarean section due to dystocia only. On the contrary, newborn weight between 2,500 and 2,999 g was associated with a significant decrease in the rate of caesarean section due to dystocia. Newborn weight <3,000 g was associated with a risk for caesarean section due to other reasons. The population risk for caesarean section due to dystocia, attributable to BMI >=35 kg/m(2) in low risk pregnancies, was 13.3%., Conclusions: An increased maternal BMI was associated with the risk of caesarean section due to dystocia. This information should be made available to women who are overweight or obese at antenatal booking or at the first trimester visit.

Objectives: The primary purpose of this study was to describe the proportion of low birth weight that could be potentially prevented by programs focusing on maternal prepregnant body mass index (BMI) and/or weight gain during pregnancy., Methods: In this historic cohort design, study data consisted of birth certificates linked to the Pregnancy Risk Assessment Monitoring System for South Carolina resident women delivering in South Carolina during 1998 and 1999. Statistical analysis was conducted with the use of chi2, population-attributable risk, and logistic regression. The analysis was performed using SUDAAN to accommodate the analysis weight and extrapolate the sample data to the South Carolina state population., Results: Eight percent of the very low birth weight (VLBW) rate in South Carolina can be attributed to inadequate weight gain in pregnancy. Approximately 19% of the state's VLBW rate can be attributed to either underweight or overweight BMI at conception. Women with less than adequate weight gain were 1.4 times more likely to deliver a VLBW baby and 1.9 times more likely to deliver a moderately low birth weight baby as compared with women with adequate weight gain., Conclusions: Appropriate maternal BMI at conception followed by adequate weight gain during pregnancy may have a substantial influence on reducing the number of low birth weight deliveries.

To present a comprehensive overview of different risk factors for early onset preeclampsia (<34 weeks gestation, EOP) vs. late onset (LOP). South-Reunion University's maternity (Reunion Island, Indian Ocean). 18.5 year-observational population-based cohort study (2001–2019). Epidemiological perinatal database with information on obstetrical and neonatal risk factors. All consecutive singleton pregnancies (>21 weeks) compared with all preeclamptic pregnancies delivered in the south of Reunion island. Comparing risk factors between EOP and LOP. Among 1814 singleton preeclamptic pregnancies (600 EOP and 1214 LOP), EOP women were older than LOP 29.5 vs. 28.6 years, p =.009, primigravidas (OR 0.78 [0.63–0.96], p =.02) were prone to LOP. History of preeclampsia (PE) (aOR 12.8 vs. 7.1), chronic hypertension (aOR 6.5 vs. 4.5) had much higher adjusted odds ratios for EOP than for LOP, p <.001. Specific to EOP: coagulopathies (aOR 2.95, p =.04), stimulated pregnancies (aOR 3.9, p =.02). Specific to LOP: renal diseases (aOR 2.0, p =.05) and protective effect for smoking (aOR 0.75, p =.008). EOP women were prone to have a lower BMI. "Placental preeclampsia" (defective placentation) being linked to early onset PE (<34 weeks gestation) while "maternal preeclampsia" (maternal cardiovascular predisposition) being typically manifesting as the late form of the disease LOP is not systematically verified. Future researches are needed to propose a more adapted paradigm. Risk factors for different preeclampsia phenotypes (early/late); challenging proposed models [ABSTRACT FROM AUTHOR]

Introduction: Early onset preeclampsia (EOP) and late onset preeclampsia (LOP) have been differentiated with a cut-point of ≤34 weeks. This classical definition has never been examined with respect to maternal characteristics by different gestational age cut-points. We examined maternal characteristics in a population-based cohort of 1736 preeclamptic deliveries at different gestational age cut-points from 30 to 37 weeks (CO30 to CO37).Material and Methods: Eighteen-year observational population-based historical cohort study (2001-2018). All consecutive births delivered at the Centre Hospitalier Universitaire Hospitalier Sud Reunion's maternity. Standardized epidemiological perinatal database.Results: The incidence of EOP was lower in adolescents (1.8% vs 3.5%, odds ratio [OR] 0.50, P = .17). Conversely, the odds of LOP was increased for women over 35, beginning at C030 (OR 1.13, P = .02) and this effect (OR = 1.2) was still detectable at C037 (P = .06). Among primigravid women, the incidence of EOP was lower than LOP (OR ranging from 0.71 to 0.82 for different CO). Conversely, the incidence of LOP was higher (adjusted OR about 2.7 [CO30-CO34] with a rise to 3.3 at CO37 (P < .001). Women with EOP had a lower body mass index (BMI) as compared with LOP at CO34 and CO37. The adjusted OR (per 5 kg/m2 increment) declined from 1.06 to 1.03 from CO30 to C037 in EOP women. Conversely, for LOP, the adjusted odds ratio (aOR) increased from 1.04 to 1.06 from CO30 to CO37 (P < .001). Gestational diabetes mellitus was not associated with LOP at any cut-off (aOR 1.07, NS) but was protective against EOP from CO30 to CO34 (aOR 0.42, 0.61 and 0.73, respectively, P < .001). This protective effect disappeared at CO37. Chronic hypertension and history of preeclampsia were both EOP and LOP risks but with a much stronger effect for EOP (chronic hypertension: aOR 6.0-6.5, history of preeclampsia: aOR 12-17).Conclusions: The 34th week of gestation appears to provide a reasonable cut-point to differentiate between EOP and LOP. Additional research is needed to better describe the possible differences in the pathophysiology of these different phenotypes. [ABSTRACT FROM AUTHOR]

To investigate the ongoing controversy on the effect of BMI (body mass index) on EOP (early onset preeclampsia) vs LOP (late onset), especially focusing on diabetes and maternal booking/pre-pregnancy BMI as possible independent variables. 18 year-observational cohort study (2001–2018). The study population consisted of all consecutive births delivered at the Centre Hospitalier Universitaire Hospitalier Sud Reunion's maternity (ap. 4,300 birth per year, only level 3 maternity in the south of Reunion Island, sole allowed to follow and deliver all preeclampsia cases of the area). History of pregnancies, deliveries and neonatal outcomes have been collected in standardized fashion into an epidemiological perinatal data base. Chronic hypertension and, history of preeclampsia in multigravidas, were the strongest risk factors for EOP. Primiparity, age over 35 years and BMI ≥ 35 kg/m² were rather associated with LOP. In a multivariate analysis with EOP or LOP as outcome variables compared with controls (normotensive), maternal age and pre-pregnancy BMI were independent risk factors for both EOP and LOP (p < 0.001). However, analyzing by increment of 5 (years of age, kg/m² for BMI) rising maternal ages and incidence of preeclampsia were strictly parallel for EOP and LOP, while increment of BMI was only associated with LOP. Controlling for maternal ages and booking/pre-pregnancy BMI, diabetes was not an independent risk factor neither for EOP or LOP. Metabolic factors, other than diabetes, associated with pre-pregnancy maternal corpulence are specifically associated with LOP. This may be a direction for future researches on the maternal preeclamptic syndrome. This may explain the discrepancy we are facing nowadays where high-income countries report 90% of their preeclampsia being LOP, while it is only 60–70% in medium-low income countries. [ABSTRACT FROM AUTHOR]