Determining the Relative Difficulty of English Writings by Fuzzy Reasoning and Its Application to Selecting Teaching Materials | Chapter 1 | New Frontiers in Medicine and Medical Research Vol. 15

This study looks into the accuracy of the Injury Severity Score (ISS), New Injury Severity Score (NISS), Revised Trauma Score (RTS), and Trauma and Injury Severity Score (TRISS) in predicting mortality in geriatric trauma cases.

The research was set up as a prospective observational study.

Materials and Methods: Over an 18-month period, 200 elderly trauma patients hospitalised to a tertiary care hospital participated in a prospective observational study. The ISS, NISS, RTS, and TRISS were calculated using data collected from each patient on the day of admission.

Results: The patients' average age was 66.35 years. A traffic accident was the most common cause of injury (94.0 percent), with a fatality rate of 17.0 percent. Receiver operator characteristic (ROC) curves were used to examine the predicted accuracies of the ISS, NISS, RTS, and TRISS for mortality prediction. The best cut-off point for predicting mortality in elderly trauma patients using the TRISS system was 91.6 (sensitivity 97 percent, specificity 88 percent, area under ROC curve 0.972); similarly, the best cut-off point for the NISS was 17 (91 percent, 93 percent, 0.970); the best cut-off point for the ISS was 15 (91 percent, 89 percent, 0.963); and the best cut-off point for the RTS was 7.108. (97 percent ,80 percent ,0.947). In terms of area under the ROC curve, there were statistical differences between ISS, NISS, RTS, and TRISS (p0.0001).

Conclusion: The TRISS was the best predictor of mortality in senior trauma patients when compared to the ISS, NISS, and RTS.

Author (S) Details

Krishna Moorthy

Department of Emergency Medicine, Sri Devraj URS Medical College, Sri Devraj URS Academy of Higher Education and Research Center, Kolar, Karnataka-563101, India..

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