Abstract
Background: In this study we aimed to examine the discrimination and calibration of
a severity characterization of trauma (ASCOT) in our setting to determine whether its usage
is appropriate to predict outcome of our trauma patients.
Methods: This study was conducted in three hospitals. All patients admitted in studied
hospitals were divided randomly into two equal subgroups. In each group, new coefficients
for ASCOT were derived from the first subgroup of patients. Then the newly developed
model was validated in the second subgroup and the measures of discrimination
and calibration were calculated.
Results: 78% of our patients were male and 27% were children. The study mortality
rate was 6%, and 20% of patients had penetrating trauma. The average age of our patients
was 28 ± 19 (Mean ± Standard Deviation).The area under ROC for ASCOTwas 0.96 and
Hosmer-Lemeshow goodness of fit p value was 0.81.
Conclusion: In spite of many differences of the trauma care systems between our
country and western countries, current survival probability models can be used in our
country after customization and development of new coefficients derived from regional
databases.
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