Building a predictive model for successful vaginal delivery in nulliparas with term cephalic singleton pregnancies using decision tree analysis.
J Obstet Gynaecol Res
; 45(8): 1536-1544, 2019 Aug.
Article
em En
| MEDLINE
| ID: mdl-31161703
ABSTRACT
AIM:
To establish a model predicting successful vaginal delivery (VD) in nulliparas with term cephalic singleton pregnancies.METHODS:
We retrospectively identified 6799 term nulliparas with cephalic singletons (6416 VD and 383 cesarean section [CS] due to dystocia) who entered labor (cervical dilation ≥2 cm) between September 2014 and August 2015. Using VD as the dependent variable and age, maternal body height, educational attainment, gravidity, gestational age, pre-pregnancy body mass index (BMI), BMI upon admission for delivery, gestational weight gain, gestational hypertension and gestational diabetes as the independent variables, predictors of VD success were identified using a multivariate binary logistic regression and then ranked with decision-tree analysis.RESULTS:
While multiple factors are associated with improved VD success, we found body height, gestational age, and intrapartum BMI to be the best predictors of successful VD. Our predictive model has a classification accuracy, sensitivity and specificity of 76.6%, 96.7% and 16.4%, respectively, and it was subsequently confirmed by both internal and external validation.CONCLUSION:
Our predictive model indicates body height, gestational age and intrapartum BMI as the major predictors of successful VD in low-risk patients.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Estatura
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Árvores de Decisões
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Índice de Massa Corporal
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Idade Gestacional
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Parto Obstétrico
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Tomada de Decisão Clínica
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Modelos Biológicos
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article