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Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India

OBJECTIVE: The aim of this study was to evaluate and compare the abilities of clinicians and clinical prediction models to accurately triage emergency department (ED) trauma patients. We compared the decisions made by clinicians with the Revised Trauma Score (RTS), the Glasgow Coma Scale, Age and Sy...

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Autores principales: Wärnberg Gerdin, Ludvig, Khajanchi, Monty, Kumar, Vineet, Roy, Nobhojit, Saha, Makhan Lal, Soni, Kapil Dev, Mishra, Anurag, Kamble, Jyoti, Borle, Nitin, Verma, Chandrika Prasad, Gerdin Wärnberg, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044989/
https://www.ncbi.nlm.nih.gov/pubmed/32075827
http://dx.doi.org/10.1136/bmjopen-2019-032900
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author Wärnberg Gerdin, Ludvig
Khajanchi, Monty
Kumar, Vineet
Roy, Nobhojit
Saha, Makhan Lal
Soni, Kapil Dev
Mishra, Anurag
Kamble, Jyoti
Borle, Nitin
Verma, Chandrika Prasad
Gerdin Wärnberg, Martin
author_facet Wärnberg Gerdin, Ludvig
Khajanchi, Monty
Kumar, Vineet
Roy, Nobhojit
Saha, Makhan Lal
Soni, Kapil Dev
Mishra, Anurag
Kamble, Jyoti
Borle, Nitin
Verma, Chandrika Prasad
Gerdin Wärnberg, Martin
author_sort Wärnberg Gerdin, Ludvig
collection PubMed
description OBJECTIVE: The aim of this study was to evaluate and compare the abilities of clinicians and clinical prediction models to accurately triage emergency department (ED) trauma patients. We compared the decisions made by clinicians with the Revised Trauma Score (RTS), the Glasgow Coma Scale, Age and Systolic Blood Pressure (GAP) score, the Kampala Trauma Score (KTS) and the Gerdin et al model. DESIGN: Prospective cohort study. SETTING: Three hospitals in urban India. PARTICIPANTS: In total, 7697 adult patients who presented to participating hospitals with a history of trauma were approached for enrolment. The final study sample included 5155 patients. The majority (4023, 78.0%) were male. MAIN OUTCOME MEASURE: The patient outcome was mortality within 30 days of arrival at the participating hospital. A grid search was used to identify model cut-off values. Clinicians and categorised models were evaluated and compared using the area under the receiver operating characteristics curve (AUROCC) and net reclassification improvement in non-survivors (NRI+) and survivors (NRI−) separately. RESULTS: The differences in AUROCC between each categorised model and the clinicians were 0.016 (95% CI −0.014 to 0.045) for RTS, 0.019 (95% CI −0.007 to 0.058) for GAP, 0.054 (95% CI 0.033 to 0.077) for KTS and −0.007 (95% CI −0.035 to 0.03) for Gerdin et al. The NRI+ for each model were −0.235 (−0.37 to −0.116), 0.17 (−0.042 to 0.405), 0.55 (0.47 to 0.65) and 0.22 (0.11 to 0.717), respectively. The NRI− were 0.385 (0.348 to 0.4), −0.059 (−0.476 to −0.005), −0.162 (−0.18 to −0.146) and 0.039 (−0.229 to 0.06), respectively. CONCLUSION: The findings of this study suggest that there are no substantial differences in discrimination and net reclassification improvement between clinicians and all four clinical prediction models when using 30-day mortality as the outcome of ED trauma triage in adult patients. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT02838459).
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spelling pubmed-70449892020-03-09 Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India Wärnberg Gerdin, Ludvig Khajanchi, Monty Kumar, Vineet Roy, Nobhojit Saha, Makhan Lal Soni, Kapil Dev Mishra, Anurag Kamble, Jyoti Borle, Nitin Verma, Chandrika Prasad Gerdin Wärnberg, Martin BMJ Open Emergency Medicine OBJECTIVE: The aim of this study was to evaluate and compare the abilities of clinicians and clinical prediction models to accurately triage emergency department (ED) trauma patients. We compared the decisions made by clinicians with the Revised Trauma Score (RTS), the Glasgow Coma Scale, Age and Systolic Blood Pressure (GAP) score, the Kampala Trauma Score (KTS) and the Gerdin et al model. DESIGN: Prospective cohort study. SETTING: Three hospitals in urban India. PARTICIPANTS: In total, 7697 adult patients who presented to participating hospitals with a history of trauma were approached for enrolment. The final study sample included 5155 patients. The majority (4023, 78.0%) were male. MAIN OUTCOME MEASURE: The patient outcome was mortality within 30 days of arrival at the participating hospital. A grid search was used to identify model cut-off values. Clinicians and categorised models were evaluated and compared using the area under the receiver operating characteristics curve (AUROCC) and net reclassification improvement in non-survivors (NRI+) and survivors (NRI−) separately. RESULTS: The differences in AUROCC between each categorised model and the clinicians were 0.016 (95% CI −0.014 to 0.045) for RTS, 0.019 (95% CI −0.007 to 0.058) for GAP, 0.054 (95% CI 0.033 to 0.077) for KTS and −0.007 (95% CI −0.035 to 0.03) for Gerdin et al. The NRI+ for each model were −0.235 (−0.37 to −0.116), 0.17 (−0.042 to 0.405), 0.55 (0.47 to 0.65) and 0.22 (0.11 to 0.717), respectively. The NRI− were 0.385 (0.348 to 0.4), −0.059 (−0.476 to −0.005), −0.162 (−0.18 to −0.146) and 0.039 (−0.229 to 0.06), respectively. CONCLUSION: The findings of this study suggest that there are no substantial differences in discrimination and net reclassification improvement between clinicians and all four clinical prediction models when using 30-day mortality as the outcome of ED trauma triage in adult patients. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT02838459). BMJ Publishing Group 2020-02-18 /pmc/articles/PMC7044989/ /pubmed/32075827 http://dx.doi.org/10.1136/bmjopen-2019-032900 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Emergency Medicine
Wärnberg Gerdin, Ludvig
Khajanchi, Monty
Kumar, Vineet
Roy, Nobhojit
Saha, Makhan Lal
Soni, Kapil Dev
Mishra, Anurag
Kamble, Jyoti
Borle, Nitin
Verma, Chandrika Prasad
Gerdin Wärnberg, Martin
Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India
title Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India
title_full Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India
title_fullStr Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India
title_full_unstemmed Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India
title_short Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India
title_sort comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in india
topic Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044989/
https://www.ncbi.nlm.nih.gov/pubmed/32075827
http://dx.doi.org/10.1136/bmjopen-2019-032900
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