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Screening tool for identification of hip fractures in the prehospital setting
OBJECTIVES: This study aims to develop a screening tool that will help first responders identify patients with proximal femur fractures, commonly referred to as hip fractures, on site and direct these patients to hospitals with orthopaedic surgery services. STUDY DESIGN: Prospective survey. METHODS:...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580199/ https://www.ncbi.nlm.nih.gov/pubmed/34778723 http://dx.doi.org/10.1097/OI9.0000000000000157 |
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author | Gillette, Danielle M. Cheng, Olivia Wilson, Alghin Mantero, Rogerio Chisholm, Douglas Feldman, Michael |
author_facet | Gillette, Danielle M. Cheng, Olivia Wilson, Alghin Mantero, Rogerio Chisholm, Douglas Feldman, Michael |
author_sort | Gillette, Danielle M. |
collection | PubMed |
description | OBJECTIVES: This study aims to develop a screening tool that will help first responders identify patients with proximal femur fractures, commonly referred to as hip fractures, on site and direct these patients to hospitals with orthopaedic surgery services. STUDY DESIGN: Prospective survey. METHODS: Literature and expert opinion defined parameters for the Collingwood Hip Fracture Rule (CHFR) which predict a patient's likelihood of hip fracture. The study population included adults presenting to Collingwood General and Marine Hospital with lower extremity injuries between December 1, 2019 and March 10, 2020. Excluded patients had previous hip replacement, previous hip fracture on the side of the injury, or a high energy mechanism of injury. Patients were assessed with the CHFR before receiving x-ray imaging. The parameters were scored based on their predictive powers and analyzed by a receiver operating characteristic curve. RESULTS: The study included 101 patients (mean age 66.3 years), and 25.7% had a hip fracture confirmed on imaging. The sensitivity, specificity, positive predictive value, and negative predictive value helped score each parameter. Factors receiving 1 point are: age 65 to 79 years, female, mechanical fall, unable to weight-bear, knee pain. Factors receiving 2 points are: bruising at greater trochanter, age >80 years. Factors receiving 3 points are: pain with hip rotation, leg shortened and externally rotated. Score is the summation of all the factors’ points. The receiver operating characteristic curve (0.953; P value < .0001) demonstrated scores of 7 had sensitivity:specificity of 84.6%:94.7%. CONCLUSION: The CHFR screening tool score of 7 can be used by first responders in the prehospital setting to identify patients who sustain a hip fracture and make appropriate triage decisions. This will improve patient outcomes and decrease institutional costs. |
format | Online Article Text |
id | pubmed-8580199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-85801992021-11-12 Screening tool for identification of hip fractures in the prehospital setting Gillette, Danielle M. Cheng, Olivia Wilson, Alghin Mantero, Rogerio Chisholm, Douglas Feldman, Michael OTA Int Clinical/Basic Science Research Article OBJECTIVES: This study aims to develop a screening tool that will help first responders identify patients with proximal femur fractures, commonly referred to as hip fractures, on site and direct these patients to hospitals with orthopaedic surgery services. STUDY DESIGN: Prospective survey. METHODS: Literature and expert opinion defined parameters for the Collingwood Hip Fracture Rule (CHFR) which predict a patient's likelihood of hip fracture. The study population included adults presenting to Collingwood General and Marine Hospital with lower extremity injuries between December 1, 2019 and March 10, 2020. Excluded patients had previous hip replacement, previous hip fracture on the side of the injury, or a high energy mechanism of injury. Patients were assessed with the CHFR before receiving x-ray imaging. The parameters were scored based on their predictive powers and analyzed by a receiver operating characteristic curve. RESULTS: The study included 101 patients (mean age 66.3 years), and 25.7% had a hip fracture confirmed on imaging. The sensitivity, specificity, positive predictive value, and negative predictive value helped score each parameter. Factors receiving 1 point are: age 65 to 79 years, female, mechanical fall, unable to weight-bear, knee pain. Factors receiving 2 points are: bruising at greater trochanter, age >80 years. Factors receiving 3 points are: pain with hip rotation, leg shortened and externally rotated. Score is the summation of all the factors’ points. The receiver operating characteristic curve (0.953; P value < .0001) demonstrated scores of 7 had sensitivity:specificity of 84.6%:94.7%. CONCLUSION: The CHFR screening tool score of 7 can be used by first responders in the prehospital setting to identify patients who sustain a hip fracture and make appropriate triage decisions. This will improve patient outcomes and decrease institutional costs. Lippincott Williams & Wilkins 2021-11-10 /pmc/articles/PMC8580199/ /pubmed/34778723 http://dx.doi.org/10.1097/OI9.0000000000000157 Text en Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Orthopaedic Trauma Association. https://creativecommons.org/licenses/by-nc-nd/4.0/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), 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. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Clinical/Basic Science Research Article Gillette, Danielle M. Cheng, Olivia Wilson, Alghin Mantero, Rogerio Chisholm, Douglas Feldman, Michael Screening tool for identification of hip fractures in the prehospital setting |
title | Screening tool for identification of hip fractures in the prehospital setting |
title_full | Screening tool for identification of hip fractures in the prehospital setting |
title_fullStr | Screening tool for identification of hip fractures in the prehospital setting |
title_full_unstemmed | Screening tool for identification of hip fractures in the prehospital setting |
title_short | Screening tool for identification of hip fractures in the prehospital setting |
title_sort | screening tool for identification of hip fractures in the prehospital setting |
topic | Clinical/Basic Science Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580199/ https://www.ncbi.nlm.nih.gov/pubmed/34778723 http://dx.doi.org/10.1097/OI9.0000000000000157 |
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