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Independent Predictors of Mortality in Torso Trauma Injuries

Authors :
Laura Briani
Roberto Bini
Federica Renzi
Caterina Accardo
Stefano Granieri
Stefania Cimbanassi
Francesca Bindi
Fabrizio Sammartano
Osvaldo Chiara
Source :
Journal of Clinical Medicine, Volume 9, Issue 10, Journal of Clinical Medicine, Vol 9, Iss 3202, p 3202 (2020)
Publication Year :
2020
Publisher :
Multidisciplinary Digital Publishing Institute, 2020.

Abstract

Noncompressible torso injuries (NCTIs) represent a trauma-related condition with high lethality. This study&rsquo<br />s aim was to identify potential prediction factors of mortality in this group of trauma patients at a Level 1 trauma center in Italy. Materials and Methods: A total of 777 patients who had sustained a noncompressible torso injury (NCTI) and were admitted to the Niguarda Trauma Center in Milan from 2010 to 2019 were included. Of these, 166 patients with a systolic blood pressure (SBP) &lt<br />90 mmHg were considered to have a noncompressible torso hemorrhage (NCTH). Demographic data, mechanism of trauma, pre-hospital and in-hospital clinical conditions, diagnostic/therapeutic procedures, and survival outcome were retrospectively recorded. Results: Among the 777 patients, 69% were male and 90.2% sustained a blunt trauma with a median age of 43 years. The comparison between survivors and non-survivors pointed out a significantly lower pre-hospital Glasgow coma scale (GCS) and SBP (p &lt<br />0.001) in the latter group. The multivariate backward regression model identified age, pre-hospital GCS and injury severity score (ISS) (p &lt<br />0.001), pre-hospital SBP (p = 0.03), emergency department SBP (p = 0.039), performance of torso contrast enhanced computed tomography (CeCT) (p = 0.029), and base excess (BE) (p = 0.008) as independent predictors of mortality. Conclusions: Torso trauma patients who were hemodynamically unstable in both pre- and in-hospital phases with impaired GCS and BE had a greater risk of death. The detection of independent predictors of mortality allows for the timely identification of a subgroup of patients whose chances of survival are reduced.

Details

Language :
English
ISSN :
20770383
Database :
OpenAIRE
Journal :
Journal of Clinical Medicine
Accession number :
edsair.doi.dedup.....d4b61f99253374b5e8be31edf8c402af
Full Text :
https://doi.org/10.3390/jcm9103202