Worthing physiological score vs revised trauma score in outcome prediction of trauma patients; a comparative study

Introduction: Awareness about the outcome of trauma patients in the emergency department (ED) has become a topic of interest. Accordingly, the present study aimed to compare the rapid trauma score (RTS) and worthing physiological scoring system (WPSS) in predicting in-hospital mortality and poor outcome of trauma patients. Methods: In this comparative study trauma patients brought to five EDs in different cities of Iran during the year 2016were included. After data collection, discriminatory power and calibration of the modelswere assessed and compared using STATA 11. Results: 2148 patientswith themean age of 39.50±17.27 yearswere included (75.56 males). The AUC of RTS and WPSS models for prediction ofmortalitywere 0.86 (95 CI: 0.82-0.90) and 0.91 (95 CI: 0.87-0.94), respectively (p=0.006). RTS had a sensitivity of 71.54 (95CI: 62.59-79.13) and a specificity of 97.38 (95 CI: 96.56-98.01) in prediction of mortality. These measures for the WPSS were 87.80 (95 CI: 80.38-92.78) and 83.45 (95 CI: 81.75-85.04), respectively. The AUC of RTS and WPSS in predicting poor outcome were 0.81 (95 CI: 0.77-0.85) and 0.89 (95 CI: 0.85-0.92), respectively (p < 0.0001). Conclusion: The findings showed a higher prognostic value for the WPSS model in predicting mortality and severe disabilities in trauma patients compared to the RTS model. Both models had good overall performance in prediction of mortality and poor outcome. © (2016) Shahid Beheshti University ofMedical Sciences

Worthing Physiological score vs revised trauma score in outcome prediction of trauma patients; a comparative study

Introduction: Awareness about the outcome of trauma patients in the emergency department (ED) has become a topic of interest. Accordingly, the present study aimed to compare the rapid trauma score (RTS) and worthing physiological scoring system (WPSS) in predicting in-hospital mortality and poor outcome of trauma patients. Methods: In this comparative study trauma patients brought to five EDs in different cities of Iran during the year 2016 were included. After data collection, discriminatory power and calibration of the modelswere assessed and compared using STATA 11. Results: 2148 patients with the mean age of 39.50±17.27 years were included (75.56 males). The AUC of RTS and WPSS models for prediction of mortality were 0.86 (95 CI: 0.82-0.90) and 0.91 (95 CI: 0.87-0.94), respectively (p=0.006). RTS had a sensitivity of 71.54 (95CI: 62.59-79.13) and a specificity of 97.38 (95 CI: 96.56-98.01) in prediction of mortality. These measures for the WPSS were 87.80 (95 CI: 80.38-92.78) and 83.45 (95 CI: 81.75-85.04), respectively. The AUC of RTS and WPSS in predicting poor outcome were 0.81 (95 CI: 0.77-0.85) and 0.89 (95 CI: 0.85-0.92), respectively (p<0.0001). Conclusion: The findings showed a higher prognostic value for the WPSS model in predicting mortality and severe disabilities in trauma patients compared to the RTS model. Both models had good overall performance in prediction of mortality and poor outcome. © (2017) Shahid Beheshti University of Medical Sciences

Performance of physiology scoring systems in prediction of in-hospital mortality of traumatic children: A prospective observational study

Background: This study is designed to compare the value of four physiologic scoring systems of rapid acute physiology score (RAPS), rapid emergency medicine score (REMS), Worthing physiology scoring system (WPSS) and revised trauma score (RTS) in predicting the in-hospital mortality of traumatic children brought to the emergency department. Method: We used the data gathered from six healthcare centers across Iran between the April-October 2016. Included patients were all children with trauma. Patients were assessed and followed until discharge. Moreover, patients were divided to two groups of died and alive, and discriminatory power and general calibration of models in prediction of in-hospital mortality were compared. Results: Data was gathered from 814 children (average age of 11.65 +/- 5.36 years, 74.32 boys). Highest measured area under the curve was for RAPS and REMS with 0.986 and 0.986, respectively. Areas under the curve of WPSS and RTS were 0.920 and 0.949, respectively (p = 0.02). Sensitivity and specificity of RAPS were 100.0 and 95.05, respectively. These amounts for REMS were 100.0 and 94.04, respectively. Two models of RTS and WPSS had the same sensitivity of 84.62. Specificity of these two was 98.22 and 96.95, respectively. Three models of RAPS, REMS and RTS had proper calibrations in predicting mortality; however, it seems that WPSS overestimates the mortality in high risk patients. Conclusion: As calculations of RAPS is easier than REMS and their proper calibrations, it seems that RAPS is the best physiologic model in predicting in-hospital mortality and classifying in traumatic children based on severity of injury. However, further validation of the recommended score is essential before implementing them into routine clinical practice