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Patient Electronic Health Records Score for Preoperative Risk Assessment Before Total Knee Arthroplasty

BACKGROUND: Current preoperative risk assessment tools are often cumbersome, have limited accuracy, and are poorly adopted. The Care Assessment Need (CAN) score, an existing tool developed for primary care providers in the U.S. Veterans Administration health-care system (VA), is automatically calcul...

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Autores principales: Osborne, Thomas F., Suarez, Paola, Edwards, Donna, Hernandez-Boussard, Tina, Curtin, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Journal of Bone and Joint Surgery, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418912/
https://www.ncbi.nlm.nih.gov/pubmed/33123663
http://dx.doi.org/10.2106/JBJS.OA.19.00061
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author Osborne, Thomas F.
Suarez, Paola
Edwards, Donna
Hernandez-Boussard, Tina
Curtin, Catherine
author_facet Osborne, Thomas F.
Suarez, Paola
Edwards, Donna
Hernandez-Boussard, Tina
Curtin, Catherine
author_sort Osborne, Thomas F.
collection PubMed
description BACKGROUND: Current preoperative risk assessment tools are often cumbersome, have limited accuracy, and are poorly adopted. The Care Assessment Need (CAN) score, an existing tool developed for primary care providers in the U.S. Veterans Administration health-care system (VA), is automatically calculated for individual patients using electronic health record data. Therefore, it could present an efficient preoperative risk assessment tool. The aim of this project was to determine if the CAN score can be repurposed as a preoperative risk assessment tool for patients undergoing total knee arthroplasty (TKA). METHODS: A multicenter retrospective observational study was conducted using national VA data from 2013 to 2016. The cohort included veterans who underwent TKA identified through ICD-9 (International Classification of Diseases, Ninth Revision), ICD-10, and CPT (Current Procedural Terminology) codes. The focus of the study was the preoperative patient CAN score, a single numerical value ranging from 0 to 99 (with a higher score representing greater risk) that is automatically calculated each week using multiple data points in the VA electronic health record. Study outcomes of interest were 90-day readmission, prolonged hospital stay (>5 days), 1-year mortality, and non-routine patient discharge. RESULTS: The study included 17,210 veterans. Their median preoperative CAN score was 75, although there was substantial variability in patient CAN scores among different facilities. A preoperative CAN score of >75 was significantly associated with mortality (odds ratio [OR] = 3.54), prolonged length of stay (OR = 1.97), 90-day readmission (OR = 1.65), and non-routine discharge (OR = 1.57). The CAN score had good accuracy with a receiver operating characteristic (ROC) curve value of >0.7 for all outcomes except 90-day readmission. CONCLUSIONS: The CAN score can be leveraged as an extremely efficient way to risk-stratify patients before TKA, with results that surpass other commonly available and labor-intensive alternatives. As a result, this simple and efficient solution is well positioned for broad adoption as a standardized decision support tool. LEVEL OF EVIDENCE: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.
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spelling pubmed-74189122020-10-28 Patient Electronic Health Records Score for Preoperative Risk Assessment Before Total Knee Arthroplasty Osborne, Thomas F. Suarez, Paola Edwards, Donna Hernandez-Boussard, Tina Curtin, Catherine JB JS Open Access Scientific Articles BACKGROUND: Current preoperative risk assessment tools are often cumbersome, have limited accuracy, and are poorly adopted. The Care Assessment Need (CAN) score, an existing tool developed for primary care providers in the U.S. Veterans Administration health-care system (VA), is automatically calculated for individual patients using electronic health record data. Therefore, it could present an efficient preoperative risk assessment tool. The aim of this project was to determine if the CAN score can be repurposed as a preoperative risk assessment tool for patients undergoing total knee arthroplasty (TKA). METHODS: A multicenter retrospective observational study was conducted using national VA data from 2013 to 2016. The cohort included veterans who underwent TKA identified through ICD-9 (International Classification of Diseases, Ninth Revision), ICD-10, and CPT (Current Procedural Terminology) codes. The focus of the study was the preoperative patient CAN score, a single numerical value ranging from 0 to 99 (with a higher score representing greater risk) that is automatically calculated each week using multiple data points in the VA electronic health record. Study outcomes of interest were 90-day readmission, prolonged hospital stay (>5 days), 1-year mortality, and non-routine patient discharge. RESULTS: The study included 17,210 veterans. Their median preoperative CAN score was 75, although there was substantial variability in patient CAN scores among different facilities. A preoperative CAN score of >75 was significantly associated with mortality (odds ratio [OR] = 3.54), prolonged length of stay (OR = 1.97), 90-day readmission (OR = 1.65), and non-routine discharge (OR = 1.57). The CAN score had good accuracy with a receiver operating characteristic (ROC) curve value of >0.7 for all outcomes except 90-day readmission. CONCLUSIONS: The CAN score can be leveraged as an extremely efficient way to risk-stratify patients before TKA, with results that surpass other commonly available and labor-intensive alternatives. As a result, this simple and efficient solution is well positioned for broad adoption as a standardized decision support tool. LEVEL OF EVIDENCE: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence. Journal of Bone and Joint Surgery, Inc. 2020-05-06 /pmc/articles/PMC7418912/ /pubmed/33123663 http://dx.doi.org/10.2106/JBJS.OA.19.00061 Text en Copyright © 2020 The Authors. Published by The Journal of Bone and Joint Surgery, Incorporated. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Scientific Articles
Osborne, Thomas F.
Suarez, Paola
Edwards, Donna
Hernandez-Boussard, Tina
Curtin, Catherine
Patient Electronic Health Records Score for Preoperative Risk Assessment Before Total Knee Arthroplasty
title Patient Electronic Health Records Score for Preoperative Risk Assessment Before Total Knee Arthroplasty
title_full Patient Electronic Health Records Score for Preoperative Risk Assessment Before Total Knee Arthroplasty
title_fullStr Patient Electronic Health Records Score for Preoperative Risk Assessment Before Total Knee Arthroplasty
title_full_unstemmed Patient Electronic Health Records Score for Preoperative Risk Assessment Before Total Knee Arthroplasty
title_short Patient Electronic Health Records Score for Preoperative Risk Assessment Before Total Knee Arthroplasty
title_sort patient electronic health records score for preoperative risk assessment before total knee arthroplasty
topic Scientific Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418912/
https://www.ncbi.nlm.nih.gov/pubmed/33123663
http://dx.doi.org/10.2106/JBJS.OA.19.00061
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