Document Type : Original Article
Authors
- Amir Ghaffarzad 1
- Neda Seyedi 1
- Abazar Fathollahzadeh 2
- Homayon Sadeghi Bazargani 3
- Hassan Vaezi 4
- Farzad Rahmani 5
1 Emergency and Trauma Care Research Center, Emam Reza (AS) Hospital, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
2 Department of Health in Disaster and Emergencies, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
3 Road Traffic Injury Research Center, Emam Reza (AS) Hospital, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran
4 Emergency Medicine Department, Shohadaye Haftome Tir Hospital, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
5 Road Traffic Injury Research Center, Emam Reza (AS) Hospital, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
Abstract
Objective: The vehicle’s heaviness increases the severity of the accident and the probability of death. The study aimed to compare the severity of injuries and the outcome of the injuries caused by accidents between heavy vehicles and light vehicles. The physiological variables of the patients, the variables related to the accident, and the patients’ outcomes were evaluated to achieve this goal. The output was based on bivariate analysis.
Methods: This cross-sectional descriptive study was conducted in the emergency department of Imam Reza (AS) Hospital of Tabriz between March 2022 and July 2024. Four hundred nine multi-trauma patients related to road traffic accidents (RTAs) were included. The sampling method employed was a full census. Physiologic variables about patients and trauma severity were recorded. All data entered into SPSS 24.0 were compared between two groups using chi-square and independent samples t-tests.
Results: This study included 314 (76.8%) patients injured by light-vehicle accidents and 95 (23.2%) patients injured by heavy-vehicle accidents. The mean of trauma severity scores including GAP, RGAP, NTS, RTS, and REMS in heavy-vehicle accidents group were 17.0 ± 5.9, 16.3 ± 6.5, 15.6 ± 6.5, 6.2 ± 1.9, and 5.9 ± 5.6 respectively, and they were 22.4 ± 3.3, 21.8 ± 3.7, 21.8 ± 3.5, 7.6 ± 0.9, and 2.4 ± 3.1, respectively, in light-vehicle accidents. There were significant statistical differences between the two groups concerning the trauma severity scores of patients based on vehicle type (P < 0.001).
Conclusion: The study results show that the severity of trauma in heavy-vehicle accidents is higher, and the injured are in more critical conditions. Therefore, it is necessary to identify the factors involved in heavy-vehicle accidents and take measures to reduce them.
Keywords
Main Subjects
- Safiri S, Sullman MJM, Lajunen T, Hill T, Almasi-Hashiani A, Moradi-Lakeh M, et al. Burden of transport-related injuries in the Eastern Mediterranean region: a systematic analysis for the Global Burden of Disease Study 2017. Arch Iran Med. 2021;24(7):512-25. doi: 10.34172/aim.2021.74.
2. Gosselin RA, Spiegel DA, Coughlin R, Zirkle LG. Injuries: the neglected burden in developing countries. Bull World Health Organ. 2009;87(4):246-a. doi: 10.2471/blt.08.052290.
3. Sadeghi-Bazargani H, Sharifian S, Khorasani-Zavareh D, Zakeri R, Sadigh M, Golestani M, et al. Road safety data
collection systems in Iran: a comparison based on relevant organizations. Chin J Traumatol. 2020;23(5):265-70. doi:
10.1016/j.cjtee.2020.06.004.
4. Ashrafian Fard S, Ahmadi S, Ebrahimi Bakhtavar H, Sadeghi-Bazargani H, Rahmani F. TERMINAL-24 score in predicting early and in-hospital mortality of trauma patients; a crosssectional. Arch Acad Emerg Med. 2025;13(1):e25. doi:10.22037/aaemj.v13i1.2526.
5. Large Trucks. Injury Facts website. https://injuryfacts.nsc.org/motor-vehicle/road-users/large-trucks/.
6. Uddin M, Huynh N. Injury severity analysis of truck-involved crashes under different weather conditions. Accid Anal Prev.2020;141:105529. doi: 10.1016/j.aap.2020.105529.
7. Shojaei S, Mahdavi SA, Mirtorabi SD, Forouzesh M, Hashemi Nazari SS. Descriptive epidemiology of road traffic mortality caused by heavy vehicles in Iran in 2018. Arch Trauma Res. 2021;10(2):97-103. doi: 10.4103/atr.atr_103_20.
8. Wei F, Xu P, Guo Y, Wang Z. Qualitatively and quantitatively explore injury severity of light motor vehicle drivers involved in heavy goods vehicle crashes. Transp Lett. 2024;16(10):1353-65. doi: 10.1080/19427867.2024.2306009.
9. Casey GJ, Miles-Johnson T, Stevens GJ. Heavy vehicle driver fatigue: Observing work and rest behaviours of truck
drivers in Australia. Transp Res Part F Traffic Psychol Behav. 2024;104:136-53. doi: 10.1016/j.trf.2024.05.016.
10. Ren X, Pritchard E, van Vreden C, Newnam S, Iles R, Xia T. Factors associated with fatigued driving among Australian
truck drivers: a cross-sectional study. Int J Environ Res Public Health. 2023;20(3):2732. doi: 10.3390/ijerph20032732.
11. Shandhana Rashmi B, Marisamynathan S. Factors affecting truck driver behavior on a road safety context: A critical
systematic review of the evidence. J Traffic Transp Eng (EnglEd). 2023;10(5):835-65. doi: 10.1016/j.jtte.2023.04.006.
12. World Health Organization (WHO). Global Status Report onRoad Safety 2018. WHO; 2019.
13. Decker S, Otte D, Muller CW, Omar M, Krettek C, Haasper C, et al. Road traffic related injury severity in truck drivers:
a prospective medical and technical analysis of 582 truck crashes. Arch Trauma Res. 2016;5(2):e31380. doi: 10.5812/
atr.31380.
14. Miller RT, Nazir N, McDonald T, Cannon CM. The modified rapid emergency medicine score: a novel trauma triage tool to predict in-hospital mortality. Injury. 2017;48(9):1870-7. doi:10.1016/j.injury.2017.04.048.
15. Amini K, Abolghasemi Fakhri S, Salehi H, Ebrahimi Bakhtavar H, Rahmani F. Mortality prediction in multiple trauma
patients using GAP, RTS and NTS models. Trauma Mon. 2021;26(5):252-7. doi: 10.30491/tm.2021.262592.1212.
16. Khajoei R, Zeid Abadi M, Dehesh T, Heydarpour N, Shokohian S, Rahmani F. Predictive value of the Glasgow coma scale, age, and arterial blood pressure and the new trauma score indicators to determine the hospital mortality of multiple trauma patients. Arch Trauma Res. 2021;10(2):86-91. doi:10.4103/atr.atr_72_20.
17. Sepehri Majd P, Alimohammadi Siyabani A, Ebrahimi Bakhtavar H, Rahmani F. A new method to predict the inhospital outcome of multi-trauma patients: R-GAP. J Emerg Pract Trauma. 2022;8(2):128-33. doi: 10.34172/jept.2022.15. 18. Kenarangi T, Rahmani F, Yazdani A, Doustkhah Ahmadi G, Lotfi M, Akbari Khalaj T. Comparison of GAP, R-GAP, and new trauma score (NTS) systems in predicting mortality of traffic accidents that injure hospitals at Mashhad University of Medical Sciences. Heliyon. 2024;10(16):e36004. doi:10.1016/j.heliyon.2024.e36004.
19. Charbotel B, Martin JL, Gadegbeku B, Chiron M. Severity factors for truck drivers’ injuries. Am J Epidemiol. 2003;158(8):753-9. doi: 10.1093/aje/kwg200.
20. Xu J, Wali B, Li X, Yang J. Injury severity and contributing driver actions in passenger vehicle-truck collisions. Int J Environ Res Public Health. 2019;16(19):3542. doi: 10.3390/ijerph16193542.
21. Elshamly AF, Abd El-Hakim R, Afify HA. Factors affecting accidents risks among truck drivers in Egypt. MATEC Web Conf. 2017;124:04009. doi: 10.1051/matecconf/201712404009.
22. Bunn T, Slavova S, Robertson M. Motor vehicle injuries among semi-truck drivers and sleeper berth passengers. J Safety Res. 2013;44:51-5. doi: 10.1016/j.jsr.2012.09.003.
23. Williamson A, Lombardi DA, Folkard S, Stutts J, Courtney TK, Connor JL. The link between fatigue and safety. Accid Anal Prev. 2011;43(2):498-515. doi: 10.1016/j.aap.2009.11.011.
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