A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study

Purpose The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constru...

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Main Authors: Blake Callahan, Darwin Ang, Huazhi Liu
Format: Article
Language:English
Published: Korean Society of Traumatology 2024-06-01
Series:Journal of Trauma and Injury
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Online Access:http://jtraumainj.org/upload/pdf/jti-2023-0077.pdf
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author Blake Callahan
Darwin Ang
Huazhi Liu
author_facet Blake Callahan
Darwin Ang
Huazhi Liu
author_sort Blake Callahan
collection DOAJ
description Purpose The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constructed in order to propose a risk calculator for ACS following lower extremity trauma. Methods A large retrospective case-control study was conducted using the TQIP database to identify risk factors associated with developing ACS following lower extremity fractures. Multivariable regression was used to identify significant risk factors and subsequently, these variables were implemented in a nomogram to develop a predictive model for developing ACS. Results Novel risk factors identified include venous thromboembolism prophylaxis type particularly unfractionated heparin (odds ratio [OR], 2.67; 95% confidence interval [CI], 2.33–3.05; P<0.001), blood product transfusions (blood per unit: OR 1.13 [95% CI, 1.09–1.18], P<0.001; platelets per unit: OR 1.16 [95% CI, 1.09–1.24], P<0.001; cryoprecipitate per unit: OR 1.13 [95% CI, 1.09–1.22], P=0.003). Conclusions This study provides evidence to believe that heparin use and blood product transfusions may be additional risk factors to evaluate when considering methods of risk stratification of lower extremity ACS. We propose a risk calculator using previously elucidated risk factors, as well as the risk factors demonstrated in this study. Our nomogram-based risk calculator is a tool that will aid in screening for high-risk patients for ACS and help in clinical decision-making.
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spelling doaj-art-068d25e7e282461f94d1c805689b80722025-01-16T06:10:17ZengKorean Society of TraumatologyJournal of Trauma and Injury2799-43172287-16832024-06-0137212413110.20408/jti.2023.00771307A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control studyBlake Callahan0Darwin Ang1Huazhi Liu2 Department of Surgery, University of Central Florida College of Medicine, Orlando, FL, USA Department of Surgery, University of Central Florida College of Medicine, Orlando, FL, USA Department of Surgery, HCA Ocala Hospital, Ocala, FL, USAPurpose The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constructed in order to propose a risk calculator for ACS following lower extremity trauma. Methods A large retrospective case-control study was conducted using the TQIP database to identify risk factors associated with developing ACS following lower extremity fractures. Multivariable regression was used to identify significant risk factors and subsequently, these variables were implemented in a nomogram to develop a predictive model for developing ACS. Results Novel risk factors identified include venous thromboembolism prophylaxis type particularly unfractionated heparin (odds ratio [OR], 2.67; 95% confidence interval [CI], 2.33–3.05; P<0.001), blood product transfusions (blood per unit: OR 1.13 [95% CI, 1.09–1.18], P<0.001; platelets per unit: OR 1.16 [95% CI, 1.09–1.24], P<0.001; cryoprecipitate per unit: OR 1.13 [95% CI, 1.09–1.22], P=0.003). Conclusions This study provides evidence to believe that heparin use and blood product transfusions may be additional risk factors to evaluate when considering methods of risk stratification of lower extremity ACS. We propose a risk calculator using previously elucidated risk factors, as well as the risk factors demonstrated in this study. Our nomogram-based risk calculator is a tool that will aid in screening for high-risk patients for ACS and help in clinical decision-making.http://jtraumainj.org/upload/pdf/jti-2023-0077.pdfcompartment syndromeswounds and injuriesextremitiesclinical decision-making
spellingShingle Blake Callahan
Darwin Ang
Huazhi Liu
A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study
Journal of Trauma and Injury
compartment syndromes
wounds and injuries
extremities
clinical decision-making
title A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study
title_full A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study
title_fullStr A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study
title_full_unstemmed A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study
title_short A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study
title_sort predictive nomogram based model for lower extremity compartment syndrome after trauma in the united states a retrospective case control study
topic compartment syndromes
wounds and injuries
extremities
clinical decision-making
url http://jtraumainj.org/upload/pdf/jti-2023-0077.pdf
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