The Prototype Scoring System in Predicting Probability of Survival for Multiple Trauma Patients in Indonesia

Document Type : Original Article

Authors

1 Department of Emergency Medicine, Faculty of Medicine, Universitas Brawijaya, Saiful Anwar General Hospital, Malang – Indonesia

2 Department of Emergency Medicine, Faculty of Medicine, Universitas Brawijaya, Saiful Anwar General Hospital, Malang – Indonesia

3 Department of Public Health, Faculty of Medicine, Universitas Brawijaya, Malang - Indonesia

Abstract
Objective: Trauma-related deaths are among the top 10 causes of mortality, with an average of
three deaths from traffic accidents every hour in Indonesia. In 2012, there were 117,949 traffic
accidents resulting in 29,544 deaths (25.04%). In 2021, there were 103,645 accidents with 25,266
deaths (24.37%). Despite efforts to record trauma cases in Indonesia, existing scoring systems from
developed countries face limitations. This study aims to propose a new, locally adapted scoring
system to improve the management of multiple trauma cases, particularly at Saiful Anwar General
Hospital (RSSA), Malang.
Methods: This observational analytic study with a retrospective cohort design was conducted at
RSSA, Malang, Indonesia, from January 2021 to December 2022. A total of 506 multiple trauma
patients from the RSSA Emergency Department were included, selected through purposive
sampling. Data analysis involved the use of the t-test or the Mann-Whitney U test for numerical
and ordinal data, the chi-square or Fisher’s test for nominal data, followed by multivariate logistic
regression to establish a scoring system.
Results: Logistic regression through backward elimination identified 15 significant predictors of
in-hospital mortality: age (P=0.000, OR=0.967), pulse rate (P=0.006, OR=0.981), GCS (P=0.000,
OR=1.381), intracerebral hemorrhage (P=0.105, OR=0.966), subdural hemorrhage (P=0.001,
OR=0.875), infratentorial hemorrhage (P=0.000, OR=0.151), subfalcine herniation (P=0.038,
OR=0.871), transtentorial herniation (P=0.050, OR=0.038), mandibular fracture (P=0.004,
OR=0.235), etc. GCS was the strongest predictor (Wald=50.54). Although intracerebral hemorrhage
and lung tissue injury (P>0.05) were retained due to clinical relevance, the model showed excellent
discriminatory power, with an area under the curve (AUC-ROC) of 0.917 and a 95% confidence
interval of 0.886–0.948.
Conclusion: The MTPS scoring system developed in this study can predict the prognosis of multiple
trauma patients with strong discrimination (0.917) and is expected to improve the quality of trauma
care in accordance with WHO guidelines at RSSA Malang.

Keywords

Subjects

1. Statistics Indonesia (Badan Pusat Statistik). Indonesia Statistical Yearbook 2023 [Internet]. Jakarta: Statistics Indonesia; 2023[cited 2023 Nov 15]. Available from: https://www.bps.go.id/en/publication/2004/05/15/7b19d65de26d16c1ff00c8de/statistical-yearbook-of-indonesia-2003.html
2. Delany HM, Berlin AW. Multiple injuries. In: Tinker J, Rapin M, eds. Care of the Critically Ill Patient. 1st ed. London:
Springer; 1983. p. 611-28. doi: 10.1007/978-1-4471-3498-5_35
3. Mboi N, Murty Surbakti I, Trihandini I, Elyazar I, Houston Smith K, Bahjuri Ali P, et al. On the road to universal health care in Indonesia, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2018;392(10147):581-91. doi: 10.1016/s0140-6736(18)30595-6
4. Joosse P, Soedarmo S, Luitse JS, Ponsen KJ. Trauma outcome analysis of a Jakarta University Hospital using the TRISS
method: validation and limitation in comparison with the major trauma outcome study. Trauma and Injury Severity
Score. J Trauma. 2001;51(1):134-40. doi: 10.1097/00005373-200107000-00021
5. Santosa SP, Mahyuddin AI, Sunoto FG. Anatomy of injury severity and fatality in Indonesian traffic accidents. J Eng
Technol Sci. 2017;49(3):412-22. doi: 10.5614/j.eng.technol. sci.2017.49.3.9
6. Widyastuti R, Achadi A, Usman Y, Rosita T, Lusiana M. Analysis of the causes of death in Indonesia due to accident
based on the sample registration system from 2014 to 2016. The International Conference on Public Health Proceeding.
2020;5(1):12-22. doi: 10.26911/the7thicph-FP.01.02
7. Boyd CR, Tolson MA, Copes WS. Evaluating trauma care: the TRISS method. Trauma Score and the Injury Severity Score. J Trauma. 1987;27(4):370-8.
8. Jeong JH, Park YJ, Kim DH, Kim TY, Kang C, Lee SH, et al. The new trauma score (NTS): a modification of the revised
trauma score for better trauma mortality prediction. BMC Surg. 2017;17(1):77. doi: 10.1186/s12893-017-0272-4
9. Demetriades D, Chan LS, Velmahos G, Berne TV, Cornwell EE, Belzberg H, et al. TRISS methodology in trauma: the
need for alternatives. Br J Surg. 1998;85(3):379-84. doi:10.1046/j.1365-2168.1998.00610.x
10. Osler T, Rutledge R, Deis J, Bedrick E. ICISS: an international classification of disease-9 based injury severity score.
J Trauma. 1996;41(3):380-8. doi: 10.1097/00005373-199609000-00002
11. Li H, Ma YF. New injury severity score (NISS) outperforms injury severity score (ISS) in the evaluation of severe blunt
trauma patients. Chin J Traumatol. 2021;24(5):261-5. doi:10.1016/j.cjtee.2021.01.006
12. Beuran M, Stoica B, Negoi I, Tănase I, Gaspar B, Turculeţ C, et al. Trauma registry -- a necessity of modern clinical practice. Chirurgia (Bucur). 2014;109(2):157-60.
13. Osler T, Baker SP, Long W. A modification of the injury severity score that both improves accuracy and simplifies
scoring. J Trauma. 1997;43(6):922-6. doi: 10.1097/00005373-199712000-00009
14. Bangun K, Kesuma AD. Evaluation of facial trauma severity in Cipto Mangunkusumo Hospital using FISS scoring system. Jurnal Plastik Rekonstruksi. 2012;1(2):162-5. doi: 10.14228/jpr.v1i2.45
15. Tung M, Sharma R, Hinson JS, Nothelle S, Pannikottu J, Segal JB. Factors associated with imaging overuse in the
emergency department: a systematic review. Am J Emerg Med. 2018;36(2):301-9. doi: 10.1016/j.ajem.2017.10.049
16. Van Ditshuizen JC, Rojer LA, Van Lieshout EM, Bramer WM, Verhofstad MH, Sewalt CA, et al. Evaluating associations
between level of trauma care and outcomes of patients with specific severe injuries: a systematic review and meta-analysis. J Trauma Acute Care Surg. 2023;94(6):877-92. doi: 10.1097/ta.0000000000003890
17. Salim C. Sistem penilaian trauma. Cermin Dunia Kedokteran. 2015;42(9):702-9.
18. Nakahara S, Yokota J. Revision of the International Classification of Diseases to include standardized descriptions
of multiple injuries and injury severity. Bull World Health Organ. 2011;89(3):238-40. doi: 10.2471/blt.10.078964
19. American College of Surgeons (ACS). ATLS Advanced Trauma Life Support [Internet]. 10th ed. ACS; 2018. p. 1-474. Available from: https://store.facs.org/atls-student-course-manual-10thedition.
20. Llullaku SS, Hyseni NS, Bytyçi CI, Rexhepi SK. Evaluation of trauma care using TRISS method: the role of adjusted
misclassification rate and adjusted w-statistic. World J Emerg Surg. 2009;4:2. doi: 10.1186/1749-7922-4-2
21. Alberdi F, García I, Atutxa L, Zabarte M. Epidemiology of severe trauma. Med Intensiva (Engl Ed). 2014;38(9):580-8.
doi: 10.1016/j.medine.2014.06.002
22. Yap KE, Islam AA, Ihwan A, Baan JA, Hamid F. Comparison of Helsinki CT and Rotterdam CT scoring systems as prognostic factors of brain injury. Nusant Med Sci J. 2021;6(1):33-43.doi: 10.20956/nmsj.v6i1.13967
23. Madhuri M, Punjabi S, Kumar S, Khan A, Channar K, Shams S. Assessment of maxillofacial trauma by facial injury severity score (FISS) system. Open Access J Biomed Sci. 2020;2(4):557-61. doi: 10.38125/oajbs.000211
24. Sharma AK, Rathore SS, Verma V, Yadav P. A study to validate thoracic trauma severity score in chest trauma patients. Int Surg J. 2020;7(5):1526-9. doi: 10.18203/2349-2902.isj20201863
25. Savoia P, Jayanthi SK, Chammas MC. Focused assessment with sonography for trauma (FAST). J Med Ultrasound.
2023;31(2):101-6. doi: 10.4103/jmu.jmu_12_23
26. Manka M, Moscati R, Raghavendran K, Priya A. Sonographic scoring for operating room triage in trauma. West J Emerg Med. 2010;11(2):138-43.
27. Shah DK, Patel KM, Patel S, Padshala R, Doliya T. Efficacy of blunt abdominal trauma scoring system in management of blunt abdominal trauma. Int Surg J. 2022;9(10):1726-30. doi:10.18203/2349-2902.isj20222597
28. Azarhomayoun A, Aghasi M, Mousavi N, Shokraneh F, Vaccaro AR, Haj Mirzaian A, et al. Mortality rate and predicting factors of traumatic thoracolumbar spinal cord injury; a systematic review and meta-analysis. Bull Emerg Trauma. 2018;6(3):181-94. doi: 10.29252/beat-060301
29. Corrêa WO, Batista VG, Cavalcante EF, Fernandes MP, Fortes R, Ruiz GZ, et al. Mortality predictors in patients with pelvic fractures from blunt trauma. Rev Col Bras Cir. 2017;44(3):222-30. doi: 10.1590/0100-69912017003001
30. Miclau T, Hoogervorst P, Shearer DW, El Naga AN, Working ZM, Martin C, et al. Current status of musculoskeletal trauma care systems worldwide. J Orthop Trauma. 2018;32 Suppl 7:S64-70. doi: 10.1097/bot.0000000000001301
31. World Health Organization (WHO). Guidelines for Trauma Quality Improvement Programmes. 1st ed. Malta: WHO;
2009. p. 1-114.
32. Moore L, Clark DE. The value of trauma registries. Injury. 2008;39(6):686-95. doi: 10.1016/j.injury.2008.02.023
Volume 10, Issue 2
July 2024
Pages 128-136

  • Receive Date 01 October 2025
  • Revise Date 19 October 2025
  • Accept Date 20 October 2025