METHOD: A total of 3825 trauma patients from 2011 to 2016 were extracted from the Hospital Sultanah Aminah Trauma Surgery Registry. Patients were split into a development sample (n = 2683) and a validation sample (n = 1142). Univariate analysis is applied to identify significant anatomic predictors. These predictors were further analyzed using multivariable logistic regression to develop the new score and compared to existing score systems. The quality of prediction was determined regarding discrimination using sensitivity, specificity and receiver operating characteristic [ROC] curve.

RESULTS: Existing simplified score systems (GAP & mGAP) revealed areas under the ROC curve of 0.825 and 0.806. The newly developed HeCLLiP (Head, cervical spine, lung, liver, pelvic fracture) score combines only five anatomic components: injury involving head, cervical spine, lung, liver and pelvic bone. The probabilities of mortality can be estimated by charting the total score points onto a graph chart or using the cut-off value of (>2) with a sensitivity of 79.2 and specificity of 70.6% on the validation dataset. The HeCLLiP score achieved comparable values of 0.802 for the area under the ROC curve in validation samples.

Methods: A prognostic study was done to identify predictors of early mortality due to exsanguination. Data were extracted from our Trauma Surgery Registry database of Sultanah Aminah Hospital, Johor Bahru, Malaysia. All patients who were treated from May 1, 2011 to April 31, 2014 by the trauma team were included. Adult trauma patients included from the Trauma Surgery Registry were divided into two groups for analysis: early death from exsanguination and death from non-exsanguination/survivors. Univariate and multivariate analysis was performed to look for significant predictors of death from exsanguination. Variables analyzed were demography, mechanism of injury, organ injury scale, physiological parameters (systolic blood pressure (SBP), respiratory rate, heart rate, temperature), Glasgow Coma Scale (GCS), Revised Trauma Score (RTS), New Injury Severity Score (NISS), Trauma and Injury Severity Score (TRISS) and cause of death.

Results: A total of 2208 patients with an average age of 36 (±16) years were included. Blunt trauma was the majority with 90.5%, followed by penetrating injuries (9.2%). The overall mortality is 239 out of 2208 (10.8%). Seventy-eight patients (32.6%) died due to central nervous system injury, 69 due to sepsis (28.9%) and 58 due to exsanguination (24.3%). After multivariate analysis, age (OR 1.026 (1.009 to 1.044), p=0.002), SBP (OR 0.985 (0.975 to 0.995), p=0.003) and temperature (OR 0.203 (0.076 to 0.543), p=0.001) were found to be the significant physiological parameters. Intra-abdominal injury and NISS were significant anatomic mortality predictors from exsanguination (p<0.001). Patients with intra-abdominal injury had four times higher risk of mortality from exsanguination (OR 3.948 (2.331 to 6.686), p<0.001).

Discussion: In a Malaysian trauma center, age, SBP, core body temperature, intra-abdominal injury and NISS were significant predictors of early death from exsanguination.