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

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 MartinORCID

Abstract

ObjectiveThe 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.DesignProspective cohort study.SettingThree hospitals in urban India.ParticipantsIn 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 measureThe 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.ResultsThe 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.ConclusionThe 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 numberClinicalTrials.gov Registry (NCT02838459).

Funder

Swedish National Board of Health and Welfare

Publisher

BMJ

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3