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Derivation and Validation of a Score Using Prehospital Data to Identify Adults With Trauma Requiring Early Laparotomy
IMPORTANCE: A scoring tool to identify which adults with traumatic injury will require early laparotomy could help improve prehospital triage and system readiness. OBJECTIVE: To develop and validate a prediction model using prehospital information for early laparotomy following trauma. DESIGN, SETTI...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804917/ https://www.ncbi.nlm.nih.gov/pubmed/35099548 http://dx.doi.org/10.1001/jamanetworkopen.2021.45860 |
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author | Gutierrez, Adam Matsushima, Kazuhide Grigorian, Areg Schellenberg, Morgan Inaba, Kenji |
author_facet | Gutierrez, Adam Matsushima, Kazuhide Grigorian, Areg Schellenberg, Morgan Inaba, Kenji |
author_sort | Gutierrez, Adam |
collection | PubMed |
description | IMPORTANCE: A scoring tool to identify which adults with traumatic injury will require early laparotomy could help improve prehospital triage and system readiness. OBJECTIVE: To develop and validate a prediction model using prehospital information for early laparotomy following trauma. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study analyzed data from the 2017 version of the American College of Surgeons Trauma Quality Improvement Program database. All adult patients with traumatic injury aged 18 years or older who were admitted to a US trauma center in 2017 were included. Patients were randomly assigned to a derivation or validation cohort. Data were collected and analyzed between July 2020 and September 2020. MAIN OUTCOMES AND MEASURES: The primary outcome was laparotomy within 2 hours of hospital arrival. A scoring system was developed to predict early laparotomy using a logistic regression model in the derivation cohort. This was validated in the validation cohort using the area under the receiver operating characteristic curve. RESULTS: A total of 379 890 US adults with traumatic injury were included; 190 264 patients were in the derivation cohort and 189 626 patients were in the validation cohort. The cohorts had the same proportion of laparotomy within 2 hours of hospital arrival (1.1%). The median (IQR) age was 32 (25-46) years in the early laparotomy group and 54 (33-72) years in the group with no early laparotomy. The early laparotomy group contained 113 776 of 188 211 (60.5%) male patients, while the group with no early laparotomy contained 1702 of 2053 (82.9%) male patients. The variable most strongly associated with early laparotomy was penetrating injury to the head, neck, torso, or extremities proximal to the elbow or knee (odds ratio, 13.47; 95% CI, 12.22-14.86) with a point value of 10 (maximum overall score 20). Other variables included in the scoring system were the male sex, a systolic blood pressure less than 90 mm Hg, a Glasgow Coma Scale of less than or equal to 13, having chest wall instability or deformity, pelvic fracture, and high-risk blunt mechanism. In the validation cohort, the C statistic of the scoring system was 0.78 (95% CI, 0.77-0.79). CONCLUSIONS AND RELEVANCE: In this study, a novel scoring tool using prehospital information was derived and validated to identify which adults with traumatic injury will require laparotomy within 2 hours of hospital arrival. This tool may help trauma professionals allocate operative team resources before patient arrival. |
format | Online Article Text |
id | pubmed-8804917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-88049172022-02-09 Derivation and Validation of a Score Using Prehospital Data to Identify Adults With Trauma Requiring Early Laparotomy Gutierrez, Adam Matsushima, Kazuhide Grigorian, Areg Schellenberg, Morgan Inaba, Kenji JAMA Netw Open Original Investigation IMPORTANCE: A scoring tool to identify which adults with traumatic injury will require early laparotomy could help improve prehospital triage and system readiness. OBJECTIVE: To develop and validate a prediction model using prehospital information for early laparotomy following trauma. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study analyzed data from the 2017 version of the American College of Surgeons Trauma Quality Improvement Program database. All adult patients with traumatic injury aged 18 years or older who were admitted to a US trauma center in 2017 were included. Patients were randomly assigned to a derivation or validation cohort. Data were collected and analyzed between July 2020 and September 2020. MAIN OUTCOMES AND MEASURES: The primary outcome was laparotomy within 2 hours of hospital arrival. A scoring system was developed to predict early laparotomy using a logistic regression model in the derivation cohort. This was validated in the validation cohort using the area under the receiver operating characteristic curve. RESULTS: A total of 379 890 US adults with traumatic injury were included; 190 264 patients were in the derivation cohort and 189 626 patients were in the validation cohort. The cohorts had the same proportion of laparotomy within 2 hours of hospital arrival (1.1%). The median (IQR) age was 32 (25-46) years in the early laparotomy group and 54 (33-72) years in the group with no early laparotomy. The early laparotomy group contained 113 776 of 188 211 (60.5%) male patients, while the group with no early laparotomy contained 1702 of 2053 (82.9%) male patients. The variable most strongly associated with early laparotomy was penetrating injury to the head, neck, torso, or extremities proximal to the elbow or knee (odds ratio, 13.47; 95% CI, 12.22-14.86) with a point value of 10 (maximum overall score 20). Other variables included in the scoring system were the male sex, a systolic blood pressure less than 90 mm Hg, a Glasgow Coma Scale of less than or equal to 13, having chest wall instability or deformity, pelvic fracture, and high-risk blunt mechanism. In the validation cohort, the C statistic of the scoring system was 0.78 (95% CI, 0.77-0.79). CONCLUSIONS AND RELEVANCE: In this study, a novel scoring tool using prehospital information was derived and validated to identify which adults with traumatic injury will require laparotomy within 2 hours of hospital arrival. This tool may help trauma professionals allocate operative team resources before patient arrival. American Medical Association 2022-01-31 /pmc/articles/PMC8804917/ /pubmed/35099548 http://dx.doi.org/10.1001/jamanetworkopen.2021.45860 Text en Copyright 2022 Gutierrez A et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Gutierrez, Adam Matsushima, Kazuhide Grigorian, Areg Schellenberg, Morgan Inaba, Kenji Derivation and Validation of a Score Using Prehospital Data to Identify Adults With Trauma Requiring Early Laparotomy |
title | Derivation and Validation of a Score Using Prehospital Data to Identify Adults With Trauma Requiring Early Laparotomy |
title_full | Derivation and Validation of a Score Using Prehospital Data to Identify Adults With Trauma Requiring Early Laparotomy |
title_fullStr | Derivation and Validation of a Score Using Prehospital Data to Identify Adults With Trauma Requiring Early Laparotomy |
title_full_unstemmed | Derivation and Validation of a Score Using Prehospital Data to Identify Adults With Trauma Requiring Early Laparotomy |
title_short | Derivation and Validation of a Score Using Prehospital Data to Identify Adults With Trauma Requiring Early Laparotomy |
title_sort | derivation and validation of a score using prehospital data to identify adults with trauma requiring early laparotomy |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804917/ https://www.ncbi.nlm.nih.gov/pubmed/35099548 http://dx.doi.org/10.1001/jamanetworkopen.2021.45860 |
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