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Clinical decision support for severe trauma patients: Machine learning based definition of a bundle of care for hemorrhagic shock and traumatic brain injury

医学 创伤性脑损伤 置信区间 多元分析 单变量 队列 单变量分析 急诊医学 多元统计 队列研究 失血性休克 内科学 损伤严重程度评分 毒物控制 伤害预防 休克(循环) 机器学习 精神科 计算机科学
作者
Elodie Lang,Arthur Neuschwander,Gersende Favé,Paër-Sélim Abback,Pierre Esnault,Thomas Geeraerts,Anatole Harrois,Jean‐Luc Hanouz,Éric Kipnis,Marc Léone,Vincent Legros,Nouchan Mellati,Julien Pottecher,Sophie Hamada,Romain Pirracchio
出处
期刊:The journal of trauma and acute care surgery [Lippincott Williams & Wilkins]
卷期号:92 (1): 135-143 被引量:12
标识
DOI:10.1097/ta.0000000000003401
摘要

Deviation from guidelines is frequent in emergency situations, and this may lead to increased mortality. Probably because of time constraints, 55% is the greatest reported guidelines compliance rate in severe trauma patients. This study aimed to identify among all available recommendations a reasonable bundle of items that should be followed to optimize the outcome of hemorrhagic shocks (HSs) and severe traumatic brain injuries (TBIs).We first estimated the compliance with French and European guidelines using the data from the French TraumaBase registry. Then, we used a machine learning procedure to reduce the number of recommendations into a minimal set of items to be followed to minimize 7-day mortality. We evaluated the bundles using an external validation cohort.This study included 5,924 trauma patients (1,414 HS and 4,955 TBI) between 2011 and August 2019 and studied compliance to 36 recommendation items. Overall compliance rate to recommendation items was 71.6% and 66.9% for HS and TBI, respectively. In HS, compliance was significantly associated with 7-day decreased mortality in univariate analysis but not in multivariate analysis (risk ratio [RR], 0.91; 95% confidence interval [CI], 0.90-1.17; p = 0.06). In TBI, compliance was significantly associated with decreased mortality in univariate and multivariate analysis (RR, 0.85; 95% CI, 0.75-0.92; p = 0.01). For HS, the bundle included 13 recommendation items. In the validation cohort, when this bundle was applied, patients were found to have a lower 7-day mortality rate (RR, 0.46; 95% CI, 0.27-0.63; p = 0.01). In TBI, the bundle included seven items. In the validation cohort, when this bundle was applied, patients had a lower 7-day mortality rate (RR, 0.55; 95% CI, 0.34-0.71; p = 0.02).Using a machine-learning procedure, we were able to identify a subset of recommendations that minimizes 7-day mortality following traumatic HS and TBI. These two bundles remain to be evaluated in a prospective manner.Care Management, level II.

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