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Development of a Modified Score System as Prediction Model for Successful Vaginal Birth After Cesarean Delivery
- Source :
- Clinical and Translational Science, Vol 12, Iss 1, Pp 53-57 (2019), Clinical and Translational Science
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- This study was designed to establish a modified prediction score system to improve the safety and success rate of vaginal birth after cesarean delivery (VBAC). We recruited 406 patients (between January 2012 and December 2016) and generated a modified score system in predicting the success rate of VBAC. All patients were required to sign informed consent forms. There were 87.2% of patients who had successful VBAC deliveries and 12.8% patients who had repeated cesarean sections. We conducted multivariable logistic regression and found seven variables that were associated with VBAC success, including previous primary indication of cesarean delivery (odds ratio (OR), 2.1; 95% confidence interval (CI), 1.4–3.0), previous vaginal birth history (OR, 2.5; 95% CI, 1.8–3.8)
- Subjects :
- Adult
medicine.medical_specialty
Birth weight
medicine.medical_treatment
Bishop score
Logistic regression
Models, Biological
Article
General Biochemistry, Genetics and Molecular Biology
Young Adult
03 medical and health sciences
0302 clinical medicine
Pregnancy
Odds Ratio
Humans
Medicine
030212 general & internal medicine
General Pharmacology, Toxicology and Pharmaceutics
Retrospective Studies
030219 obstetrics & reproductive medicine
Receiver operating characteristic
Cesarean Section
business.industry
Obstetrics
Research
lcsh:Public aspects of medicine
General Neuroscience
lcsh:RM1-950
Age Factors
lcsh:RA1-1270
Articles
General Medicine
Odds ratio
medicine.disease
Vaginal Birth after Cesarean
Gestational Weight Gain
Trial of Labor
Confidence interval
Logistic Models
lcsh:Therapeutics. Pharmacology
ROC Curve
Labor induction
Female
business
Forecasting
Subjects
Details
- ISSN :
- 17528062 and 17528054
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Clinical and Translational Science
- Accession number :
- edsair.doi.dedup.....241d2518f1343d337f611d857b1bc666