Development of a nomogram for prediction of vaginal birth after cesarean delivery

William A. Grobman, Yinglei Lai, Mark B. Landon, Catherine Y. Spong, Kenneth J. Leveno, Dwight J. Rouse, Michael W. Varner, Atef H. Moawad, Steve N. Caritis, Margaret Harper, Ronald J. Wapner, Yoram Sorokin, Menachem Miodovnik, Marshall Carpenter, Mary J. O'Sullivan, Baha M. Sibai, Oded Langer, John M. Thorp, Susan M. Ramin, Brian M. Mercer

Research output: Contribution to journalArticle

190 Citations (Scopus)

Abstract

OBJECTIVE: To develop a model based on factors available at the first prenatal visit that predicts chance of successful vaginal birth after cesarean delivery (VBAC) for individual patients who undergo a trial of labor. METHODS: All women with one prior low transverse cesarean who underwent a trial of labor at term with a vertex singleton gestation were identified from a concurrently collected database of deliveries at 19 academic centers during a 4-year period. Using factors identifiable at the first prenatal visit, we analyzed different classification techniques in an effort to develop a meaningful prediction model for VBAC success. After development and cross-validation, this model was represented by a graphic nomogram. RESULTS: Seven-thousand six hundred sixty women were available for analysis. The prediction model is based on a multivariable logistic regression, including the variables of maternal age, body mass index, ethnicity, prior vaginal delivery, the occurrence of a VBAC, and a potentially recurrent indication for the cesarean delivery. After analyzing the model with cross-validation techniques, it was found to be both accurate and discriminating. CONCLUSION: A predictive nomogram, which incorporates six variables easily ascertainable at the first prenatal visit, has been developed that allows the determination of a patient-specific chance for successful VBAC for those women who undertake trial of labor.

Original languageEnglish (US)
Pages (from-to)806-812
Number of pages7
JournalObstetrics and Gynecology
Volume109
Issue number4
DOIs
StatePublished - Apr 2007

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Vaginal Birth after Cesarean
Nomograms
Trial of Labor
Maternal Age
Body Mass Index
Logistic Models
Databases
Pregnancy

ASJC Scopus subject areas

  • Obstetrics and Gynecology

Cite this

Grobman, W. A., Lai, Y., Landon, M. B., Spong, C. Y., Leveno, K. J., Rouse, D. J., ... Mercer, B. M. (2007). Development of a nomogram for prediction of vaginal birth after cesarean delivery. Obstetrics and Gynecology, 109(4), 806-812. https://doi.org/10.1097/01.AOG.0000259312.36053.02

Development of a nomogram for prediction of vaginal birth after cesarean delivery. / Grobman, William A.; Lai, Yinglei; Landon, Mark B.; Spong, Catherine Y.; Leveno, Kenneth J.; Rouse, Dwight J.; Varner, Michael W.; Moawad, Atef H.; Caritis, Steve N.; Harper, Margaret; Wapner, Ronald J.; Sorokin, Yoram; Miodovnik, Menachem; Carpenter, Marshall; O'Sullivan, Mary J.; Sibai, Baha M.; Langer, Oded; Thorp, John M.; Ramin, Susan M.; Mercer, Brian M.

In: Obstetrics and Gynecology, Vol. 109, No. 4, 04.2007, p. 806-812.

Research output: Contribution to journalArticle

Grobman, WA, Lai, Y, Landon, MB, Spong, CY, Leveno, KJ, Rouse, DJ, Varner, MW, Moawad, AH, Caritis, SN, Harper, M, Wapner, RJ, Sorokin, Y, Miodovnik, M, Carpenter, M, O'Sullivan, MJ, Sibai, BM, Langer, O, Thorp, JM, Ramin, SM & Mercer, BM 2007, 'Development of a nomogram for prediction of vaginal birth after cesarean delivery', Obstetrics and Gynecology, vol. 109, no. 4, pp. 806-812. https://doi.org/10.1097/01.AOG.0000259312.36053.02
Grobman, William A. ; Lai, Yinglei ; Landon, Mark B. ; Spong, Catherine Y. ; Leveno, Kenneth J. ; Rouse, Dwight J. ; Varner, Michael W. ; Moawad, Atef H. ; Caritis, Steve N. ; Harper, Margaret ; Wapner, Ronald J. ; Sorokin, Yoram ; Miodovnik, Menachem ; Carpenter, Marshall ; O'Sullivan, Mary J. ; Sibai, Baha M. ; Langer, Oded ; Thorp, John M. ; Ramin, Susan M. ; Mercer, Brian M. / Development of a nomogram for prediction of vaginal birth after cesarean delivery. In: Obstetrics and Gynecology. 2007 ; Vol. 109, No. 4. pp. 806-812.
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AU - Lai, Yinglei

AU - Landon, Mark B.

AU - Spong, Catherine Y.

AU - Leveno, Kenneth J.

AU - Rouse, Dwight J.

AU - Varner, Michael W.

AU - Moawad, Atef H.

AU - Caritis, Steve N.

AU - Harper, Margaret

AU - Wapner, Ronald J.

AU - Sorokin, Yoram

AU - Miodovnik, Menachem

AU - Carpenter, Marshall

AU - O'Sullivan, Mary J.

AU - Sibai, Baha M.

AU - Langer, Oded

AU - Thorp, John M.

AU - Ramin, Susan M.

AU - Mercer, Brian M.

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N2 - OBJECTIVE: To develop a model based on factors available at the first prenatal visit that predicts chance of successful vaginal birth after cesarean delivery (VBAC) for individual patients who undergo a trial of labor. METHODS: All women with one prior low transverse cesarean who underwent a trial of labor at term with a vertex singleton gestation were identified from a concurrently collected database of deliveries at 19 academic centers during a 4-year period. Using factors identifiable at the first prenatal visit, we analyzed different classification techniques in an effort to develop a meaningful prediction model for VBAC success. After development and cross-validation, this model was represented by a graphic nomogram. RESULTS: Seven-thousand six hundred sixty women were available for analysis. The prediction model is based on a multivariable logistic regression, including the variables of maternal age, body mass index, ethnicity, prior vaginal delivery, the occurrence of a VBAC, and a potentially recurrent indication for the cesarean delivery. After analyzing the model with cross-validation techniques, it was found to be both accurate and discriminating. CONCLUSION: A predictive nomogram, which incorporates six variables easily ascertainable at the first prenatal visit, has been developed that allows the determination of a patient-specific chance for successful VBAC for those women who undertake trial of labor.

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