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Early prediction of preterm birth for singleton, twin, and triplet pregnancies
- Source :
- European Journal of Obstetrics & Gynecology and Reproductive Biology. 131:132-137
- Publication Year :
- 2007
- Publisher :
- Elsevier BV, 2007.
-
Abstract
- To create prediction models of early preterm birth for singletons, twin, and triplet pregnancies.We used a historical cohort study with the 1996 birth registration data for singletons and the 1995-1997 linked birth/infant death dataset for multiple births of the United States. Preterm birth was defined as gestational age32 completed weeks. Eligible study subjects were randomly allocated to two groups: one group (80% subjects) for the creation of the prediction models, and the other group (20% subjects) for the validation of the established prediction models. Multivariate logistic regressions were used to establish the prediction models. We further assessed the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the established prediction models with different cut-off values in the validation group.The sensitivity, specificity, PPV, and NPV of the established model were 24.58, 93.54, 5.91, and 98.69%, respectively for singletons, 64.66, 57.04, 16.29, and 92.59%, respectively for twins, and 63.57, 53.58, 42.96, and 72.78%, respectively for triplets.The prediction models of early preterm birth for singleton, twin, and triplet pregnancies created by this study could be useful for obstetricians to identify women being at high risk of preterm birth at early gestation.
- Subjects :
- Adult
Pediatrics
medicine.medical_specialty
Population
Twins
Multiple Birth Offspring
Sensitivity and Specificity
Predictive Value of Tests
Pregnancy
Risk Factors
medicine
Humans
Registries
education
Twin Pregnancy
education.field_of_study
Models, Statistical
Triplets
business.industry
Singleton
Obstetrics
Obstetrics and Gynecology
Gestational age
medicine.disease
United States
Logistic Models
Reproductive Medicine
Premature birth
Premature Birth
Female
Multiple birth
business
Cohort study
Subjects
Details
- ISSN :
- 03012115
- Volume :
- 131
- Database :
- OpenAIRE
- Journal :
- European Journal of Obstetrics & Gynecology and Reproductive Biology
- Accession number :
- edsair.doi.dedup.....07ac1c57b94cc8c30a43d13ad641e1ae