Daniel Gabbai, Itamar Gilboa, Emmanuel Attali, Yariv Yogev, Anat Lavie
{"title":"Prediction of intrapartum cesarean delivery among women with obesity: A retrospective cohort study.","authors":"Daniel Gabbai, Itamar Gilboa, Emmanuel Attali, Yariv Yogev, Anat Lavie","doi":"10.1002/ijgo.16020","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To determine risk factors and design a clinically based predictive model for the risk of intrapartum cesarean delivery (CD) in women with obesity.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted in a single tertiary medical center between 2012 and 2022 and included all consecutive women with a pre-gestational body mass index (BMI) ≥30 who planned a trial of labor. Uni- and multivariate analyses compared maternal and neonatal characteristics of women who delivered vaginally to those who underwent intrapartum CD. A specific risk prediction score was developed in accordance with the relative risk to predict the need for intrapartum CD.</p><p><strong>Results: </strong>Of the 5663 women with obesity included in the study cohort, 424 (7.5%) underwent intrapartum CD and 5239 (92.5%) delivered vaginally. The independent risk factors for CD were maternal age >35 years, pre-gestational BMI category (BMI 35-40 and BMI >40), nulliparity, epidural anesthesia, induction of labor, antibiotic administration during labor, multiple gestation, previous uterine scar, and pre-eclampsia. The intrapartum CD prediction score model demonstrated predictive performance with 85% sensitivity and 70% specificity.</p><p><strong>Conclusion: </strong>Score model for intrapartum CD can be used by caregivers to offer a more informed consultation to women with obesity facing the decision of mode of delivery.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Gynecology & Obstetrics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ijgo.16020","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To determine risk factors and design a clinically based predictive model for the risk of intrapartum cesarean delivery (CD) in women with obesity.
Methods: A retrospective cohort study was conducted in a single tertiary medical center between 2012 and 2022 and included all consecutive women with a pre-gestational body mass index (BMI) ≥30 who planned a trial of labor. Uni- and multivariate analyses compared maternal and neonatal characteristics of women who delivered vaginally to those who underwent intrapartum CD. A specific risk prediction score was developed in accordance with the relative risk to predict the need for intrapartum CD.
Results: Of the 5663 women with obesity included in the study cohort, 424 (7.5%) underwent intrapartum CD and 5239 (92.5%) delivered vaginally. The independent risk factors for CD were maternal age >35 years, pre-gestational BMI category (BMI 35-40 and BMI >40), nulliparity, epidural anesthesia, induction of labor, antibiotic administration during labor, multiple gestation, previous uterine scar, and pre-eclampsia. The intrapartum CD prediction score model demonstrated predictive performance with 85% sensitivity and 70% specificity.
Conclusion: Score model for intrapartum CD can be used by caregivers to offer a more informed consultation to women with obesity facing the decision of mode of delivery.
期刊介绍:
The International Journal of Gynecology & Obstetrics publishes articles on all aspects of basic and clinical research in the fields of obstetrics and gynecology and related subjects, with emphasis on matters of worldwide interest.