A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder Dystocia

Abstract 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 Desi...

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Main Authors: Henry Alexander Easley III, Todd Michael Beste
Format: Article
Language:English
Published: Thieme Medical Publishers, Inc. 2019-07-01
Series:American Journal of Perinatology Reports
Subjects:
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0039-1693162
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spelling doaj-e1cafd58d2b64abfa7e00b4b5ebab1702020-11-25T03:23:33ZengThieme Medical Publishers, Inc.American Journal of Perinatology Reports2157-69982157-70052019-07-010903e262e26710.1055/s-0039-1693162A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder DystociaHenry Alexander Easley III0Todd Michael Beste1Department of Obstetrics and Gynecology, UNC School of Medicine, Wilmington Campus, Wilmington, North CarolinaDepartment of Obstetrics and Gynecology, UNC School of Medicine, Wilmington Campus, Wilmington, North CarolinaAbstract 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.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0039-1693162shoulder dystociabrachial plexus injurypredictionmedicolegal
collection DOAJ
language English
format Article
sources DOAJ
author Henry Alexander Easley III
Todd Michael Beste
spellingShingle Henry Alexander Easley III
Todd Michael Beste
A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder Dystocia
American Journal of Perinatology Reports
shoulder dystocia
brachial plexus injury
prediction
medicolegal
author_facet Henry Alexander Easley III
Todd Michael Beste
author_sort Henry Alexander Easley III
title A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder Dystocia
title_short A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder Dystocia
title_full A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder Dystocia
title_fullStr A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder Dystocia
title_full_unstemmed A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder Dystocia
title_sort study of the diagnostic accuracy of an existing multivariable test to predict shoulder dystocia
publisher Thieme Medical Publishers, Inc.
series American Journal of Perinatology Reports
issn 2157-6998
2157-7005
publishDate 2019-07-01
description Abstract 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.
topic shoulder dystocia
brachial plexus injury
prediction
medicolegal
url http://www.thieme-connect.de/DOI/DOI?10.1055/s-0039-1693162
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