Customized Probability of Vaginal Delivery With Induction of Labor and Expectant Management in Nulliparous Women at 39 Weeks of Gestation.

Obstet Gynecol

Departments of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah, Northwestern University, Chicago, Illinois, University of Alabama at Birmingham, Birmingham, Alabama, Stanford University, Stanford, California, Columbia University, New York, New York, Brown University, Providence, Rhode Island, University of Texas Medical Branch, Galveston, Texas, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, University of Texas Health Science Center at Houston-Children's Memorial Hermann Hospital, Houston, Texas, The Ohio State University, Columbus, Ohio, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio, University of Texas Southwestern Medical Center, Dallas, Texas, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado, University of Pennsylvania, Philadelphia, Pennsylvania, Duke University, Durham, North Carolina, University of Pittsburgh, Pittsburgh, Pennsylvania, and Washington University in St. Louis, St. Louis, Missouri; the George Washington University Biostatistics Center, Washington, DC; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.

Published: October 2020

Objective: To develop models to predict vaginal delivery in low-risk, nulliparous women contemplating elective induction of labor or expectant management at 39 weeks of gestation.

Methods: We conducted a secondary analysis of a randomized controlled trial of planned elective induction of labor at 39 weeks of gestation compared with expectant management for low-risk nulliparous women. Two groups were included for this analysis: 1) women who were randomized to the induction of labor group and underwent elective induction at 39 0/7-39 4/7 weeks of gestation and 2) women who were randomized to the expectant management group who experienced spontaneous labor or medically indicated delivery (including postterm). Multivariable logistic regression models were developed for each group using patient characteristics that would be available at the time of counseling. Model selection was based on k-fold cross-validation using backward elimination and variables that remained significant at P<.05 were retained. To compare estimated with observed rates, the elective induction of labor model was then applied to each woman in both groups to estimate individualized predicted probabilities of vaginal delivery with elective induction of labor.

Results: Of 6,106 women enrolled in the trial, 4,661 met criteria for this analysis. Vaginal delivery occurred in 80.6% of the 2,153 women in the elective induction of labor group and 77.2% of the 2,508 women in the expectant management group (P=.005). The final elective induction of labor model included age, height, weight, and modified Bishop score (area under the receiver operating characteristic curve [AUROC] 0.72, 95% CI 0.70-0.75). The same variables were included in the final expectant management model (AUROC 0.70, 95% CI 0.67-0.72). Across the range of predicted probability deciles derived from the elective induction of labor model, almost all women who underwent elective induction of labor at 39 weeks of gestation had a higher observed chance of vaginal delivery than expectant management.

Conclusion: Irrespective of the individual predicted chance of vaginal delivery from elective induction of labor at 39 weeks of gestation, vaginal delivery is generally more frequent if elective induction of labor is undertaken rather than expectant management. These data can be used to counsel nulliparous women regarding their "customized" chances of vaginal delivery as they choose between elective induction of labor or expectant management at 39 weeks of gestation.

Clinical Trial Registration: ClinicalTrials.gov, NCT01990612.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899015PMC
http://dx.doi.org/10.1097/AOG.0000000000004046DOI Listing

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