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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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 |
work_keys_str_mv |
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