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Dataset Information

Fetal Growth Biometry as Predictors of Shoulder Dystocia in a Low-Risk Obstetrical Population.


ABSTRACT:

Objective

This study aimed to evaluate fetal biometrics as predictors of shoulder dystocia (SD) in a low-risk obstetrical population.

Study design

Participants were enrolled as part of a U.S.-based prospective cohort study of fetal growth in low-risk singleton gestations (n = 2,802). Eligible women had liveborn singletons ≥2,500 g delivered vaginally. Sociodemographic, anthropometric, and pregnancy outcome data were abstracted by research staff. The diagnosis of SD was based on the recorded clinical impression of the delivering physician. Simple logistic regression models were used to examine associations between fetal biometrics and SD. Fetal biometric cut points, selected by Youden's J and clinical determination, were identified to optimize predictive capability. A

SUBMITTER: Newman RB 

PROVIDER: S-EPMC9627645 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature