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

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 g...

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Autores principales: Easley, Henry Alexander, Beste, Todd Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Medical Publishers 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702026/
https://www.ncbi.nlm.nih.gov/pubmed/31435487
http://dx.doi.org/10.1055/s-0039-1693162
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author Easley, Henry Alexander
Beste, Todd Michael
author_facet Easley, Henry Alexander
Beste, Todd Michael
author_sort Easley, Henry Alexander
collection PubMed
description 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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spelling pubmed-67020262019-08-21 A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder Dystocia Easley, Henry Alexander Beste, Todd Michael AJP Rep 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. Thieme Medical Publishers 2019-07 2019-08-20 /pmc/articles/PMC6702026/ /pubmed/31435487 http://dx.doi.org/10.1055/s-0039-1693162 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Easley, Henry Alexander
Beste, Todd Michael
A Study of the Diagnostic Accuracy of an Existing Multivariable Test to Predict Shoulder Dystocia
title 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_short 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
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702026/
https://www.ncbi.nlm.nih.gov/pubmed/31435487
http://dx.doi.org/10.1055/s-0039-1693162
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