Prevalence of maternal obesity at delivery and association with maternal and neonatal outcomes

医学 妊娠期糖尿病 超重 产科 前瞻性队列研究 体质指数 怀孕 肥胖 儿科 妊娠高血压 队列 产前护理 队列研究 子痫前期 人口 妊娠期 内科学 环境卫生 遗传学 生物
作者
Claire Castaneda,Katharine Marsden,Timothy Maxwell,Patrick Ten Eyck,Daren Kuwaye,Kimberly A. Kenne,Abbey S. Merryman,Haley A. Steffen,Samantha R. Swartz,Anna E. Merrill,Matthew D. Krasowski,J. Brooks Jackson,Mary B. Rysavy
出处
期刊:Journal of Maternal-fetal & Neonatal Medicine [Informa]
卷期号:35 (25): 8544-8551 被引量:11
标识
DOI:10.1080/14767058.2021.1988563
摘要

Introduction Maternal obesity has been linked to adverse outcomes for mothers and their offspring, including, but not limited to gestational hypertension (gHTN), gestational diabetes (GDM), pre-eclampsia, fetal macrosomia, and emergency cesarean section. Recent investigations have also shown that obesity, as defined by a body mass index (BMI) ≥ 30, especially severe obesity (BMI ≥ 40), is a risk factor for both hospitalization and death from COVID-19.Objectives The objective of this study is to determine the prevalence and association of maternal obesity at delivery with adverse antenatal, intrapartum, and neonatal outcomes in a cohort of consecutive delivering patients at a tertiary care center in Iowa from May to September 2020. A secondary objective is to determine if maternal obesity has any relationship to past or current COVID-19 infection status at the time of delivery. This is a secondary analysis of a prospective cohort study to analyze obstetric outcomes among COVID-19 infected and uninfected patients.Methods We conducted a prospective cohort study using demographic and clinical data obtained from the electronic medical record. Excess plasma was collected from routine blood samples obtained at delivery admission to determine the seroprevalence of COVID-19 antibody using the DiaSorin and Roche antibody assays. Frequency variables were each calculated separately, and a comparison of maternal and neonatal outcomes was conducted using the generalized linear mixed modeling (GLMM) framework to account for varying distributions (normal and binary).Results 1001 women delivered during the study period and 89.7% met criteria for being overweight or obese; 17.9% met criteria for severe obesity. Women with obesity had 49.8% lower odds of possessing private insurance, and women with severe obesity were less than half as likely to plan to breastfeed at the time of discharge. Women with obesity of any kind had a significantly increased odds of GDM and gHTN, and an increased risk of an infant with macrosomia, hypoglycemia, and NICU admission. No significant association was found between BMI and COVID-19 infection or disease severity.Conclusion This study provides insight into obstetric complications facing women with obesity, especially those with severe obesity. This report serves to highlight potential challenges, such as insurance status and labor complications, that impact women of high BMI to a greater degree when compared to their normal-weight counterparts.
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