Salama, K., Ali, M., Omar, R., Mohammed, Y. (2023). Predictive Factors and Bio-Clinical Scoring Systems of Massive Blood Transfusion in Trauma Patients Attending Emergency Department. Suez Canal University Medical Journal, 26(9), 0-0. doi: 10.21608/scumj.2023.324134
Khaled M. Salama; Mohamed A. Ali; Reda M. Omar; Yahya B. Mohammed. "Predictive Factors and Bio-Clinical Scoring Systems of Massive Blood Transfusion in Trauma Patients Attending Emergency Department". Suez Canal University Medical Journal, 26, 9, 2023, 0-0. doi: 10.21608/scumj.2023.324134
Salama, K., Ali, M., Omar, R., Mohammed, Y. (2023). 'Predictive Factors and Bio-Clinical Scoring Systems of Massive Blood Transfusion in Trauma Patients Attending Emergency Department', Suez Canal University Medical Journal, 26(9), pp. 0-0. doi: 10.21608/scumj.2023.324134
Salama, K., Ali, M., Omar, R., Mohammed, Y. Predictive Factors and Bio-Clinical Scoring Systems of Massive Blood Transfusion in Trauma Patients Attending Emergency Department. Suez Canal University Medical Journal, 2023; 26(9): 0-0. doi: 10.21608/scumj.2023.324134
Predictive Factors and Bio-Clinical Scoring Systems of Massive Blood Transfusion in Trauma Patients Attending Emergency Department
Department of Emergency Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Abstract
Background: Early identification of patients with critical bleeding and coagulopathy who may need massive blood transfusion remains a major challenge, owing to its significant association with high morbidity and mortality in severely injured patients. Aim: We aimed to compare the accuracy of five prediction models of massive transfusion scores; Trauma trauma-associated severe Hemorrhage (TASH) score, Assessment of Blood Consumption (ABC) score, Risk assessment and prediction tool (RAPT) score, and Emergency Transfusion Score (ETS) for the early prediction of the requirement for massive transfusion. Patients and Methods: A prospective observational and Comparative study was carried out at the Emergency Department of Suez Canal University Hospital in Ismailia and Maadi Military Complex in Cairo, on sixty trauma patients fulfilling the inclusion and exclusion criteria. Correlation of all scoring systems with the requirement of massive transfusion, and severity of injuries. The area under the curve (AUROC) was used to compare the scoring systems, Sensitivity, specificity, and positive and negative predictive values were calculated for each prediction model. Results: 83.13% of the patients received massive transfusion. The accuracy was higher for the TASH score (70%) than the ETS score (53.3%). Also, the Area under the curve (AUC) was greater in the TASH score (0.82) than in the ETS score (0.64). Conclusion: The TASH score is an easy and accurate scoring system that could predict the trauma patient’s requirement for massive transfusion and thus life-threatening hemorrhage could be predicted at a very early stage.
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