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Pseudofracture: An Acute Peripheral Tissue Trauma Model
Published on: April 18, 2011
Predicting factors for major trauma patient mortality analyzed from trauma registry system
Yueh-Tzu Chiang1, Tzu-Hsin Lin2, Rey-Heng Hu2
1Institute of Emergency and Critical Care Medicine, National Yang-Ming University, Taiwan, ROC; Department of Orthopedics, KuangTien General Hospital, Taiwan, ROC.
Objective:
We investigated the predictors of mortality in major trauma patients using a trauma registry system database.
Methods:
Data were obtained from the trauma registry of a level I trauma center for all patients aged ≥18 years admitted to an intensive care unit (ICU) between January 1, 2006 and December 31, 2013. Models were adjusted for patient demographics, injury mechanism, preexisting comorbidity, Glasgow coma scale (GCS), injury severity score (ISS), emergency department (ED) and ICU procedures, surgical procedures, and complications. Multivariate logistic regression analysis was used to determine predictors of mortality and odds ratios of its associated factors.
Results:
In total, 1561 patients met the inclusion criteria. The overall mortality rate was 13.4%. After controlling for all variables in a logistic regression model, the factors associated with increased mortality risk (P < 0.05) were age ≥ 45 years; ISS > 24; GCS score < 8 and 8-12; fall accident; preexisting comorbidity of renal insufficiency; ED cardiopulmonary resuscitation (CPR) procedures; ICU blood transfusion; and cardiovascular, respiratory, digestive system and infection complications.
Conclusion:
Our data showed some predictors of patient mortality after major trauma, most of which were determined during the trauma event. Only those treatment complications may be improved when performing the treatment procedures.
