Independent Early Predictors of Mortality in Polytrauma Patients: a Prospective, Observational, Longitudinal Study
Overview
Authors
Affiliations
Objectives:: Trauma is an important public health issue and associated with substantial socioeconomic impacts and major adverse clinical outcomes. No single study has previously investigated the predictors of mortality across all stages of care (pre-hospital, emergency room, surgical center and intensive care unit) in a general trauma population. This study was designed to identify early predictors of mortality in severely injured polytrauma patients across all stages of care to provide a better understanding of the physiologic changes and mechanisms by which to improve care in this population.
Methods:: A longitudinal, prospective, observational study was conducted between 2010 and 2013 in São Paulo, Brazil. Patients submitted to high-energy trauma were included. Exclusion criteria were as follows: injury severity score <16, <18 years old or insufficient data. Clinical and laboratory data were collected at four time points: pre-hospital, emergency room, and 3 and 24 hours after hospital admission. The primary outcome assessed was mortality within 30 days. Data were analyzed using tests of association as appropriate, nonparametric analysis of variance and generalized estimating equation analysis (p<0.05). ClinicalTrials.gov: NCT01669577.
Results:: Two hundred patients were included. Independent early predictors of mortality were as follows: arterial hemoglobin oxygen saturation (p<0.001), diastolic blood pressure (p<0.001), lactate level (p<0.001), Glasgow Coma Scale score (p<0.001), infused crystalloid volume (p<0.015) and presence of traumatic brain injury (p<0.001).
Conclusion:: Our results suggest that arterial hemoglobin oxygen saturation, diastolic blood pressure, lactate level, Glasgow Coma Scale, infused crystalloid volume and presence of traumatic brain injury are independent early mortality predictors.
Long-Term Functional Recovery after Severe Traumatic Brain Injury with Type II Diffuse Injury.
Yoshikawa M, Brasil S, Solla D, Amorim R, Godoy D, Kolias A Neurotrauma Rep. 2025; 6(1):13-19.
PMID: 40008052 PMC: 11848058. DOI: 10.1089/neur.2024.0052.
Armanious T, Khalifa A, Abubeih H, Badran M, Adam F, Farouk O Orthop Res Rev. 2025; 17:43-54.
PMID: 39896097 PMC: 11787776. DOI: 10.2147/ORR.S503377.
Fiore P, Monteleone A, Muller J, Filardo G, Candrian C, Riegger M Scand J Trauma Resusc Emerg Med. 2024; 32(1):116.
PMID: 39558381 PMC: 11575110. DOI: 10.1186/s13049-024-01281-3.
Kebede A, Tegenaw A, Tamir Y, Afewerk S, Belayneh A, Tamre S BMC Emerg Med. 2024; 24(1):177.
PMID: 39350027 PMC: 11443762. DOI: 10.1186/s12873-024-01093-9.
Predicting the complexity and mortality of polytrauma patients with machine learning models.
Yu M, Wang S, He K, Teng F, Deng J, Guo S Sci Rep. 2024; 14(1):8302.
PMID: 38594313 PMC: 11004111. DOI: 10.1038/s41598-024-58830-0.