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Development of a Practical Prediction Model for Adverse Neonatal Outcomes at the Start of the Second Stage of Labor

医学 逻辑回归 回顾性队列研究 不利影响 阴道分娩 独生子女 队列 队列研究 产科 儿科 怀孕 外科 内科学 生物 遗传学
作者
Mark A. Clapp,Siguo Li,Kaitlyn E. James,Emily Reiff,Sarah E Little,Thomas H. McCoy,Roy H. Perlis,Anjali J Kaimal
出处
期刊:Obstetrics & Gynecology [Ovid Technologies (Wolters Kluwer)]
标识
DOI:10.1097/aog.0000000000005776
摘要

OBJECTIVE: To develop a prediction model for adverse neonatal outcomes using electronic fetal monitoring (EFM) interpretation data and other relevant clinical information known at the start of the second stage of labor. METHODS: This was a retrospective cohort study of individuals who labored and delivered at two academic medical centers between July 2016 and June 2020. Individuals were included if they had a singleton gestation at term (more than 37 weeks of gestation), a vertex-presenting, nonanomalous fetus, and planned vaginal delivery and reached the start of the second stage of labor. The primary outcome was a composite of severe adverse neonatal outcomes. We developed and compared three modeling approaches to predict the primary outcome using factors related to EFM data (as interpreted and entered in structured data fields in the electronic health record by the bedside nurse), maternal comorbidities, and labor characteristics: traditional logistic regression, LASSO (least absolute shrinkage and selection operator), and extreme gradient boosting. Model discrimination and calibration were compared. Predicted probabilities were stratified into risk groups to facilitate clinical interpretation, and positive predictive values for adverse neonatal outcomes were calculated for each. RESULTS: A total of 22,454 patients were included: 14,820 in the training set and 7,634 in the test set. The composite adverse neonatal outcome occurred in 3.2% of deliveries. Of the three modeling methods compared, the logistic regression model had the highest discrimination (0.690, 95% CI, 0.656–0.724) and was well calibrated. When stratified into risk groups (no increased risk, higher risk, and highest risk), the rates of the composite adverse neonatal outcome were 2.6% (95% CI, 2.3–3.1%), 6.7% (95% CI, 4.6–9.6%), and 10.3% (95% CI, 7.6–13.8%), respectively. Factors with the strongest associations with the composite adverse neonatal outcome included the presence of meconium (adjusted odds ratio [aOR] 2.10, 95% CI, 1.68–2.62), fetal tachycardia within the 2 hours preceding the start of the second stage (aOR 1.94, 95% CI, 1.03–3.65), and number of prior deliveries (aOR 0.77, 95% CI, 0.60–0.99).
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