Increased BMI has a linear association with late-onset preeclampsia: A population-based study

• Published in: PloS one Vol. 14; no. 10; p. e0223888
• Main Authors: Robillard, Pierre-Yves, Dekker, Gustaaf, Scioscia, Marco, Bonsante, Francesco, Iacobelli, Silvia, Boukerrou, Malik, Hulsey, Thomas C
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 17.10.2019; Public Library of Science (PLoS)
• Subjects: Adolescent; Adult; Age; Age of Onset; Biology and Life Sciences; Body mass; Body Mass Index; Body size; Diabetes mellitus; Epidemiology; Female; Gestational diabetes; Health risk assessment; Health risks; Humans; Hypertension; Hypertension - epidemiology; Incidence; Income; Independent variables; Maternal Age; Medicine and Health Sciences; Multivariate analysis; Neonates; Obesity; Obesity - epidemiology; Population studies; Population-based studies; Pre-eclampsia; Pre-Eclampsia - epidemiology; Preeclampsia; Pregnancy; Pregnancy Complications - epidemiology; Reunion - epidemiology; Risk analysis; Risk Factors; Tertiary Care Centers; Womens health; Young Adult; Reunion; France
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0223888

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.