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

J Trauma Acute Care Surg

From the Department of Anesthesia and Critical Care Medicine, APHP Hopital Européen Georges Pompidou (E.L., A.N., G.F., S.H.); Department of Anesthesia and Critical Care Medicine, Hôpital Beaujon (P.S.A.), Clichy; Department of Anesthesia and Critical Care Medicine, Hia Sainte Anne (P.E.); Department of Anesthesia and Critical Care Medicine, Chu De Toulouse (T.G.), Toulouse; Department of Anesthesia and Critical Care Medicine, Chu De Bicêtre (A.H.), Le Kremlin Bicêtre France; Department of Anesthesia and Critical Care Medicine, Chu De Caen (J.-L.H.), Caen; Department of Anesthesia and Critical Care Medicine, Chu Lille (E.K.), Lille; Department of Anesthesia and Critical Care Medicine, Hopital Nord (M.L.), Marseille; Department of Anesthesia and Critical Care Medicine, Chu De Reims (V.L.), Reims; Department of Anesthesia and Critical Care Medicine, Chr Metz Thionville (N.M.), Metz; Department of Anesthesia and Critical Care Medicine, Chu Strasbourg (J.P.), Strasbourg, France; Department of Anesthesia and Critical Care Medicine, Zuckerberg San Francisco General Hospital and Trauma Center (R.P.), San Francisco, California.

Published: January 2022

Background: 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).

Methods: 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.

Results: 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).

Discussion: 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.

Level Of Evidence: Care Management, level II.

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Source
http://dx.doi.org/10.1097/TA.0000000000003401DOI Listing

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