Key result
The Shoulder Screen prediction model predicted shoulder dystocia with 23.1% sensitivity and 99.5% specificity, compared to 10.1% sensitivity for ACOG guidelines.
Why the study?
The study was conducted to evaluate the diagnostic accuracy of the Shoulder Screen multivariable prediction model and compare it with ACOG guidelines to prevent harm from shoulder dystocia.
Does the Shoulder Screen multivariable prediction model improve diagnostic accuracy for predicting shoulder dystocia compared to ACOG guidelines in delivering patients?
Case-Control (n=398)
Does the Shoulder Screen multivariable prediction model improve diagnostic accuracy for predicting shoulder dystocia compared to ACOG guidelines in delivering patients?
A multivariable prediction model (Shoulder Screen) demonstrated higher sensitivity and overall accuracy for predicting shoulder dystocia compared to standard ACOG guidelines.
May modestly improve shoulder dystocia prediction over ACOG; leaves open prospective validation before clinical use.
Objectives To evaluate the diagnostic accuracy of a multivariable prediction model, the Shoulder Screen (Perigen, Inc.), and compare it with the American College of Obstetricians and Gynecologists (ACOG) guidelines to prevent harm from shoulder dystocia. Study Design The model was applied to two groups of 199 patients each who delivered during a 4-year period. One group experienced shoulder dystocia and the other group delivered without shoulder dystocia. The model's accuracy was analyzed. The performance of the model was compared with the ACOG guideline. Results The sensitivity, specificity, positive, and negative predictive values of the model were 23.1, 99.5, 97.9, and 56.4%, respectively. The sensitivity of the ACOG guideline was 10.1%. The false-positive rate of the model was 0.5%. The accuracy of the model was 61.3%. Conclusion A multivariable prediction model can predict shoulder dystocia and is more accurate than ACOG guidelines.
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Easley et al. (2019) conducted a case-control in Shoulder dystocia (n=398). Shoulder Screen multivariable prediction model vs. American College of Obstetricians and Gynecologists (ACOG) guidelines was evaluated on Sensitivity for predicting shoulder dystocia. The Shoulder Screen prediction model predicted shoulder dystocia with 23.1% sensitivity and 99.5% specificity, compared to 10.1% sensitivity for ACOG guidelines.
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