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Multicenter Study
. 2024 Apr 1;14(1):7646.
doi: 10.1038/s41598-024-58373-4.

Comparison of nine trauma scoring systems in prediction of inhospital outcomes of pediatric trauma patients: a multicenter study

Affiliations
Multicenter Study

Comparison of nine trauma scoring systems in prediction of inhospital outcomes of pediatric trauma patients: a multicenter study

Armin Khavandegar et al. Sci Rep. .

Abstract

Hereby, we aimed to comprehensively compare different scoring systems for pediatric trauma and their ability to predict in-hospital mortality and intensive care unit (ICU) admission. The current registry-based multicenter study encompassed a comprehensive dataset of 6709 pediatric trauma patients aged ≤ 18 years from July 2016 to September 2023. To ascertain the predictive efficacy of the scoring systems, the area under the receiver operating characteristic curve (AUC) was calculated. A total of 720 individuals (10.7%) required admission to the ICU. The mortality rate was 1.1% (n = 72). The most predictive scoring system for in-hospital mortality was the adjusted trauma and injury severity score (aTRISS) (AUC = 0.982), followed by trauma and injury severity score (TRISS) (AUC = 0.980), new trauma and injury severity score (NTRISS) (AUC = 0.972), Glasgow coma scale (GCS) (AUC = 0.9546), revised trauma score (RTS) (AUC = 0.944), pre-hospital index (PHI) (AUC = 0.936), injury severity score (ISS) (AUC = 0.901), new injury severity score (NISS) (AUC = 0.900), and abbreviated injury scale (AIS) (AUC = 0.734). Given the predictive performance of the scoring systems for ICU admission, NTRISS had the highest predictive performance (AUC = 0.837), followed by aTRISS (AUC = 0.836), TRISS (AUC = 0.823), ISS (AUC = 0.807), NISS (AUC = 0.805), GCS (AUC = 0.735), RTS (AUC = 0.698), PHI (AUC = 0.662), and AIS (AUC = 0.651). In the present study, we concluded the superiority of the TRISS and its two derived counterparts, aTRISS and NTRISS, compared to other scoring systems, to efficiently discerning individuals who possess a heightened susceptibility to unfavorable consequences. The significance of these findings underscores the necessity of incorporating these metrics into the realm of clinical practice.

Keywords: Children; Glasgow coma scale (GCS); Injury severity score; Pediatric trauma score; Survival prediction model; Trauma and injury severity score; Trauma scoring system.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
ROC curves for all nine scoring systems in the prediction of in-hospital mortality.
Figure 2
Figure 2
ROC curves for all nine scoring systems in the prediction of ICU admission.

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References

    1. Borse, N. & Sleet, D. A. CDC childhood injury report: Patterns of unintentional injuries among 0-to 19-year olds in the United States, 2000–2006. Fam. Community Health32, 189 (2009). - PubMed
    1. Theodorou, C. M. et al. Causes of early mortality in pediatric trauma patients. J. Trauma Acute Care Surg.90, 574 (2021). - PMC - PubMed
    1. Shi, J. et al. A new weighted injury severity scoring system: Better predictive power for pediatric trauma mortality. J. Trauma Acute Care Surg.85, 334 (2018). - PMC - PubMed
    1. Mora, M. C. et al. Pediatric trauma triage: A Pediatric Trauma Society Research Committee systematic review. J. Trauma Acute Care Surg.89, 623–630. 10.1097/ta.0000000000002713 (2020). - PubMed
    1. Beuran, M. et al. Trauma scores: A review of the literature. Chirurgia107, 291–297 (2012). - PubMed

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