Inaccurate Risk Assessment by the ACS NSQIP Risk Calculator in Aortic Surgery

Objectives: The aim of this retrospective study was to assess the predictive performance of the American College of Surgeons (ACS) risk calculator for aortic aneurysm repair for the patient population of a Dutch tertiary referral hospital. Methods: This retrospective study included all patients who...

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Autores principales: Tessa M. Hers, Jan Van Schaik, Niels Keekstra, Hein Putter, Jaap F. Hamming, Joost R. Van Der Vorst
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/1765ce4bb7464b09bcbdf7f8e9bccc0c
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spelling oai:doaj.org-article:1765ce4bb7464b09bcbdf7f8e9bccc0c2021-11-25T18:02:41ZInaccurate Risk Assessment by the ACS NSQIP Risk Calculator in Aortic Surgery10.3390/jcm102254262077-0383https://doaj.org/article/1765ce4bb7464b09bcbdf7f8e9bccc0c2021-11-01T00:00:00Zhttps://www.mdpi.com/2077-0383/10/22/5426https://doaj.org/toc/2077-0383Objectives: The aim of this retrospective study was to assess the predictive performance of the American College of Surgeons (ACS) risk calculator for aortic aneurysm repair for the patient population of a Dutch tertiary referral hospital. Methods: This retrospective study included all patients who underwent elective endovascular or open aortic aneurysm repair at our institution between the years 2013 and 2019. Preoperative patient demographics and postoperative complication data were collected, and individual risk assessments were generated using five different current procedural terminology (CPT) codes. Receiver operating characteristic (ROC) curves, calibration plots, Brier scores, and Index of Prediction Accuracy (IPA) values were generated to evaluate the predictive performance of the ACS risk calculator in terms of discrimination and calibration. Results: Two hundred thirty-four patients who underwent elective endovascular or open aortic aneurysm repair were identified. Only five out of thirteen risk predictions were found to be sufficiently discriminative. Furthermore, the ACS risk calculator showed a structurally insufficient calibration. Most Brier scores were close to 0; however, comparison to a null model though IPA-scores showed the predictions generated by the ACS risk calculator to be inaccurate. Overall, the ACS risk calculator showed a consistent underestimation of the risk of complications. Conclusions: The ACS risk calculator proved to be inaccurate within the framework of endovascular and open aortic aneurysm repair in our medical center. To minimize the effects of patient selection and cultural differences, multicenter collaboration is necessary to assess the performance of the ACS risk calculator in aortic surgery.Tessa M. HersJan Van SchaikNiels KeekstraHein PutterJaap F. HammingJoost R. Van Der VorstMDPI AGarticlerisk assessmentrisk prediction modelACS NSQIP risk calculatorvascular surgeryMedicineRENJournal of Clinical Medicine, Vol 10, Iss 5426, p 5426 (2021)
institution DOAJ
collection DOAJ
language EN
topic risk assessment
risk prediction model
ACS NSQIP risk calculator
vascular surgery
Medicine
R
spellingShingle risk assessment
risk prediction model
ACS NSQIP risk calculator
vascular surgery
Medicine
R
Tessa M. Hers
Jan Van Schaik
Niels Keekstra
Hein Putter
Jaap F. Hamming
Joost R. Van Der Vorst
Inaccurate Risk Assessment by the ACS NSQIP Risk Calculator in Aortic Surgery
description Objectives: The aim of this retrospective study was to assess the predictive performance of the American College of Surgeons (ACS) risk calculator for aortic aneurysm repair for the patient population of a Dutch tertiary referral hospital. Methods: This retrospective study included all patients who underwent elective endovascular or open aortic aneurysm repair at our institution between the years 2013 and 2019. Preoperative patient demographics and postoperative complication data were collected, and individual risk assessments were generated using five different current procedural terminology (CPT) codes. Receiver operating characteristic (ROC) curves, calibration plots, Brier scores, and Index of Prediction Accuracy (IPA) values were generated to evaluate the predictive performance of the ACS risk calculator in terms of discrimination and calibration. Results: Two hundred thirty-four patients who underwent elective endovascular or open aortic aneurysm repair were identified. Only five out of thirteen risk predictions were found to be sufficiently discriminative. Furthermore, the ACS risk calculator showed a structurally insufficient calibration. Most Brier scores were close to 0; however, comparison to a null model though IPA-scores showed the predictions generated by the ACS risk calculator to be inaccurate. Overall, the ACS risk calculator showed a consistent underestimation of the risk of complications. Conclusions: The ACS risk calculator proved to be inaccurate within the framework of endovascular and open aortic aneurysm repair in our medical center. To minimize the effects of patient selection and cultural differences, multicenter collaboration is necessary to assess the performance of the ACS risk calculator in aortic surgery.
format article
author Tessa M. Hers
Jan Van Schaik
Niels Keekstra
Hein Putter
Jaap F. Hamming
Joost R. Van Der Vorst
author_facet Tessa M. Hers
Jan Van Schaik
Niels Keekstra
Hein Putter
Jaap F. Hamming
Joost R. Van Der Vorst
author_sort Tessa M. Hers
title Inaccurate Risk Assessment by the ACS NSQIP Risk Calculator in Aortic Surgery
title_short Inaccurate Risk Assessment by the ACS NSQIP Risk Calculator in Aortic Surgery
title_full Inaccurate Risk Assessment by the ACS NSQIP Risk Calculator in Aortic Surgery
title_fullStr Inaccurate Risk Assessment by the ACS NSQIP Risk Calculator in Aortic Surgery
title_full_unstemmed Inaccurate Risk Assessment by the ACS NSQIP Risk Calculator in Aortic Surgery
title_sort inaccurate risk assessment by the acs nsqip risk calculator in aortic surgery
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/1765ce4bb7464b09bcbdf7f8e9bccc0c
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