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Development and Validation of a Nomogram to Estimate Risk of Cesarean After Induction of Labor in Term Pregnancies with an Unfavorable Cervix in Iran

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https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fjournals.sagepub.com%2Fdoi%2F10.1177%2F10547738221093754;h=repec:sae:clnure:v:31:y:2022:i:7:p:1332-1339
Time Added
2022/09/19 18:36
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Logistic Regression
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Authors
Shahla Hemmatzadeh Fatemeh Abbasalizadeh Sakineh Mohammad-Alizadeh-Charandabi Mohammad Asghari Jafarabadi and Mojgan Mirghafourvand
Abstract
This study aimed to develop and validate a labor induction nomogram for nulliparous and multiparous women who were 38 weeks pregnant or more and had their labor induced by an unfavorable cervix. This prospective study was conducted on 300 individuals (200 for nomogram development and 100 for nomogram validation). Height body mass index at delivery parity gestational age adjusted bishop score and cesarean section risk assessment were all recorded on a checklist. Participants were followed until they gave birth and the type of delivery was noted in the checklist. Out of 300 labor inductions 80 (26.7%) underwent a cesarean section. Cesarean risk estimation was the only predictor of delivery type based on multivariate logistic regression. The AUC (Area Under the Curve) in development group was 0.68 and in validation group was 0.71. The developed nomogram for predicting of cesarean section risk following labor induction has a relatively good predictive value among women.
Keywords
bishop score ; calculator ; cesarean ; induction ; unfavorable cervix (search for similar items in EconPapers)
Year Published
2022
Series
Clinical Nursing Research 2022 vol. 31 issue 7 1332-1339
Rank
0.94
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