Development of a Practical Prediction Model for Adverse Neonatal Outcomes at the Start of the Second Stage of Labor
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).
Authors
- Emily Reiff (ORCID: https://orcid.org/0000-0003-0698-4592)
- Thomas H. McCoy (ORCID: https://orcid.org/0000-0002-5624-0439)
- Kaitlyn E. James (ORCID: https://orcid.org/0000-0002-2267-372X)
- Roy H. Perlis (ORCID: https://orcid.org/0000-0002-5862-6757)
- Mark A. Clapp (ORCID: https://orcid.org/0000-0001-5568-4444)
- Siguo Li
- Sarah E Little
- Anjali J Kaimal
Institutions
- Beth Israel Deaconess Medical Center (US)
Publication Details
- Journal
- Obstetrics and Gynecology
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1097/aog.0000000000005776
- Citations
- 1
- Primary Topic
- Neonatal Respiratory Health Research
- Type
- article
- Field-Weighted Citation Impact
- 0.42