Volume 10, Issue 2 (Winter-In Press 2025)
Health in Emergencies and Disasters Quarterly 2025, 10(2): 0-0 |
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Atighechian G, Taghiyan Z, Nasr Isfahani M. Prediction of Road Traffic Accident Casualties Using GAP Index (Glasgow Coma Scale, Age, Systolic Blood Pressure) in Kashani Hospital, Isfahan. Health in Emergencies and Disasters Quarterly 2025; 10 (2)
URL: http://hdq.uswr.ac.ir/article-1-491-en.html
URL: http://hdq.uswr.ac.ir/article-1-491-en.html
1- Isfahan University of Medical Sciences, Isfahan, Iran.
2- Isfahan University of Medical Sciences, Isfahan, Iran. ,ztaghiyan@yahoo.com
2- Isfahan University of Medical Sciences, Isfahan, Iran. ,
Abstract: (410 Views)
Introduction: One of the leading causes of death worldwide, especially in developing countries, is traffic accidents. The GAP scoring system (Glasgow Coma Scale, Age, and Systolic Blood Pressure) is a quantitative method that has been developed to predict survival in trauma patients. Considering the importance of preventing deaths caused by traffic accidents, this study aims to predict the prognosis of traffic accident victims using the GAP index in the Kashani Hospital in Isfahan in 2019.
Methods: This research was a cross-sectional study of the type of exiting data. The GAP scoring system has been used to predict the severity of injury and mortality of road traffic accident casuaalties referred to Kashani Hospital in Isfahan. The research population included all road traffic injured people in Isfahan province and the research sample included traffic injured people referred to Kashani Hospital in Isfahan by Isfahan Emergency Department in a period of 3 months in 2019 (2674 injured people). A researcher-made checklist was used to collect data. In the first stage, the road traffic injured data of the province were collected from Isfahan Emergency Management Statistics Center and the data related to Kashani Hospital were separated. Then the separated data was compared with the HIS system of the hospital. In order to access some incomplete data, the files of the injured were studied and finally 1985 injured were included in this research. Descriptive statistics (frequency, percentage, mean and standard deviation) were used to analyze the data and ROC curve was used to evaluate the performance and accuracy of the results. SPSS26 software was used for data analysis.
Results: Out of 1985 injured people, 1500 people (76%) were men and 485 people (24%) were women. There were 14 deceased people; most of them were motorcyclists (5 people). The most injured part of the body among the deceased was the face with a frequency of 62% and the least injured part was the hand and arm with 3.8%. The most common cause of death is head injury with a frequency of 59% and multiple fractures in 41%. According to the GAP scoring system, 19 people (0.98%) were in the high risk group, 1267 people (63.81%) were in the medium risk group, and 699 people (35.21%) were in the mild risk group. Also, 4 people from the high risk group (21 percent), 7 people from the medium risk group (1 percent) and 3 people from the low risk group (1 percent) have died. The best cut point of the GAP scoring system in predicting short-term 24-hour mortality was equal to 15 and with a sensitivity of 0.96.
Conclusion: Most of the deaths caused by road traffic accidents in Isfahan's Kashani Hospital were related to the high-risk group, so this indicates the effectiveness of medical measures in this hospital.
Methods: This research was a cross-sectional study of the type of exiting data. The GAP scoring system has been used to predict the severity of injury and mortality of road traffic accident casuaalties referred to Kashani Hospital in Isfahan. The research population included all road traffic injured people in Isfahan province and the research sample included traffic injured people referred to Kashani Hospital in Isfahan by Isfahan Emergency Department in a period of 3 months in 2019 (2674 injured people). A researcher-made checklist was used to collect data. In the first stage, the road traffic injured data of the province were collected from Isfahan Emergency Management Statistics Center and the data related to Kashani Hospital were separated. Then the separated data was compared with the HIS system of the hospital. In order to access some incomplete data, the files of the injured were studied and finally 1985 injured were included in this research. Descriptive statistics (frequency, percentage, mean and standard deviation) were used to analyze the data and ROC curve was used to evaluate the performance and accuracy of the results. SPSS26 software was used for data analysis.
Results: Out of 1985 injured people, 1500 people (76%) were men and 485 people (24%) were women. There were 14 deceased people; most of them were motorcyclists (5 people). The most injured part of the body among the deceased was the face with a frequency of 62% and the least injured part was the hand and arm with 3.8%. The most common cause of death is head injury with a frequency of 59% and multiple fractures in 41%. According to the GAP scoring system, 19 people (0.98%) were in the high risk group, 1267 people (63.81%) were in the medium risk group, and 699 people (35.21%) were in the mild risk group. Also, 4 people from the high risk group (21 percent), 7 people from the medium risk group (1 percent) and 3 people from the low risk group (1 percent) have died. The best cut point of the GAP scoring system in predicting short-term 24-hour mortality was equal to 15 and with a sensitivity of 0.96.
Conclusion: Most of the deaths caused by road traffic accidents in Isfahan's Kashani Hospital were related to the high-risk group, so this indicates the effectiveness of medical measures in this hospital.
Type of Study: Research |
Subject:
traffic accidents
Received: 2023/02/5 | Accepted: 2024/01/8 | Published: 2024/07/21
Received: 2023/02/5 | Accepted: 2024/01/8 | Published: 2024/07/21
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This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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