The Natural Logarithm Transforms the Abbreviated Injury Scale That Improves Accuracy Scoring

BACKGROUND
The Injury Severity Score (ISS) and the New Injury Severity Score (NISS) are widely used for anatomic severity assessments. But they do not display a linear relation to mortality. The mortality rates are significantly different between pairs of Abbreviated Injury Scale (AIS) triplets that generate the same ISS/NISS total.
METHODS
The LISS is defined as the sum of 1.7987 multiply by that 5.53 to the power of the natural logarithm by the three most severe AIS injuries regardless of body region in which then occur. LISS values were calculated for every patient in a large data set: 3,784 patients treated during a six-year period at the three Level of first-class comprehensive hospital in Affiliated Hospital of Hangzhou Normal University, China. The power of LISS to predict morality was then compared with previously calculated NISS values for the same patients in each of the data set.
RESULTS
We find that LISS is more predictive of survival as well (Receiver operating characteristic (ROC): NISS = 0.931, LISS = 0.949, P = 0.006). Moreover, LISS provides a better fit throughout its entire range of predicting (Hosmer Lemeshow statistic: NISS = 15.76, P = 0.027; LISS = 13.79, P = 0.055).
CONCLUSION
LISS should as the standard summary measure of human trauma.