Isfahan University of Medical Sciences

Science Communicator Platform

Share By
Comparison of Two Scoring Systems, Qsofa and Asaps, in Predicting the Mortality Rate of Multiple Trauma Patients Admitted to the Intensive Care Unit in Isfahan Medical Sciences Hospitals Publisher

Summary: Can two ICU scores predict trauma deaths? A study of 115 patients found both qSOFA and ASAPS useful for mortality prediction, though each has limitations. #TraumaCare #CriticalCare

Hashemi S T ; Ali Kiai B ; Jamadi M S
Authors

Source: Journal of Isfahan Medical School Published:2026


Abstract

Background: Many patients who come to the hospital due to multiple traumas need to be hospitalized in the intensive care unit. While they remain waiting for reasons such as lack of access to intensive care beds. Due to limited resources and increased costs, it is important to estimate the prognosis of patients in the priority of receiving services, and predictive scoring systems are useful in this field. In this regard, the study was conducted with the aim of comparing two scoring systems, QSOFA and ASAPS, in predicting the mortality rate of hospitalized multiple trauma patients. Methods: A descriptive study was conducted on 115 multiple trauma patients admitted to the intensive care unit in Isfahan Medical Sciences Hospitals in 2018-2019. Data collection was done using a questionnaire, demographic information of the patients including age, sex, weight, history of diseases and other necessary information of the patient was collected. To evaluate the condition of patients in ICU, two scoring systems, QSOFA and ASAPS, were used. In the descriptive part, the percentage (number) and mean (standard deviation) and in the analytical part, logistic regression modeling was used by removing the effect of possible confounders on the incidence of mortality. Findings: The results showed that the ASAPS scoring method has the necessary efficiency and validity to predict the mortality rate of patients hospitalized in the ICU with multiple traumas. Also, the QSOFA method was very accurate in predicting the death rate of patients. Conclusion: The quick and simple QSOFA method and the efficient ASAPS method each have their own advantages and limitations. The efficiency of scoring and predictive methods is improved by optimizing their parameters, and this has led to the updating of these scoring systems. © 2026, Isfahan University of Medical Sciences(IUMS). All rights reserved.
Related Docs
View other Related Docs
1. The Precision of Mortality Prediction by a Novel Checklist (M Score) Compared With Well-Known Scoring Systems in Non-Trauma Patients in Intensive Care Unit, Journal of Isfahan Medical School (2019)
2. Comparison of Sequential Organ Failure Assessment and Acute Physiology and Chronic Health Evaluation Iii Scoring Systems on Detection Prognosis of Mortality in Patients With Trauma Admitted to the Intensive Care Unit, Journal of Isfahan Medical School (2019)
3. Comparison of Simplified Acute Physiology Score-Iii and Mortality Probability Model-Iii in Trauma Patients, Journal of Isfahan Medical School (2019)
Experts (# of related papers)
View all Related Experts
Parviz Kashefi (6)
Saeed Abbasi (4)
Comparison of Two Scoring Systems, Qsofa and Asaps, in Predicting the Mortality Rate of Multiple Trauma Patients Admitted to the Intensive Care Unit in Isfahan Medical Sciences Hospitals
Other Related Docs
4. Comparison of Sequential Organ Failure Assessment and Acute Physiology and Chronic Health Evaluation Iii Scoring Systems in Prediction of Mortality in Non-Traumatic Patients Admitted to the Intensive Care Unit, Journal of Isfahan Medical School (2018)
5. Epidemiologic and Demographic Aspects and Causes of Hospitalization and Mortality in Patients Admitted to Intensive Care Units of Alzahra Hospital, Isfahan, Iran, During 2011-2015, Journal of Isfahan Medical School (2017)
6. Comparison of the Accuracy of Two Methods on Detection of the Prognosis of Mortality in Patients With Trauma Admitted to the Intensive Care Units of Alzahra Hospital, Isfahan, Iran, in 2015, Journal of Isfahan Medical School (2018)
7. Physiologic Scoring Systems Versus Glasgow Coma Scale in Predicting In-Hospital Mortality of Trauma Patients; a Diagnostic Accuracy Study, Archives of Academic Emergency Medicine (2021)
8. Clinico-Epidemiological Analysis of Adult Patients With Acute Poisoning, International Journal of Medical Toxicology and Forensic Medicine (2021)
9. Utilizing Injury Severity Score, Glasgow Coma Scale, and Revised Trauma Score for Trauma-Related In-Hospital Mortality and Icu Admission Prediction; Originated From 7-Year Results of a Nationwide Multicenter Registry, Frontiers in Emergency Medicine (2024)
10. Comparison of Nine Trauma Scoring Systems in Prediction of Inhospital Outcomes of Pediatric Trauma Patients: A Multicenter Study, Scientific Reports (2024)
11. Absolute Mortality Risk Assessment of Covid-19 Patients: The Khorshid Covid Cohort (Kcc) Study, BMC Medical Research Methodology (2021)
12. Comparison of Sequential Organ Failure Assessment and Acute Physiology and Chronic Health Evaluation Ii Scoring Systems on Detection Prognosis of Mortality in Patients With Trauma Admitted to the Intensive Care Unit, Journal of Isfahan Medical School (2018)
13. Predictive Performance of Qsofa in Confirmed Covid-19 Patients Presenting to the Emergency Department, Tzu Chi Medical Journal (2023)
14. Lactate Dehydrogenase to Albumin Ratio As a Predictive Factor of Covid-19 Patients’ Outcome; a Cross-Sectional Study, Archives of Academic Emergency Medicine (2022)
15. The Prediction of Mortality Influential Variables in an Intensive Care Unit: A Case Study, Personal and Ubiquitous Computing (2023)
16. Physiologic Scoring Systems in Predicting the Covid-19 Patients’ One-Month Mortality; a Prognostic Accuracy Study, Archives of Academic Emergency Medicine (2022)
17. Assessment of Pneumonia Severity Index in Patients With Community-Acquired Pneumonia Admitted to Alzahra Hospital, Isfahan, Iran, Journal of Isfahan Medical School (2012)
18. The Pattern of In-Hospital Mortality of Myocardial Infarction and Associated Factors in Iran: A National Study, Journal of Isfahan Medical School (2015)
19. In-Hospital Mortality Prediction Model of Heart Failure Patients Using Imbalanced Registry Data: A Machine Learning Approach, Scientia Iranica (2025)
20. Applicability of Different Scoring Systems in Outcome Prediction of Patients With Mixed Drug Poisoning-Induced Coma, Indian Journal of Anaesthesia (2011)