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Journal Article

Citation

Vallipakorn SA, Plitapolkarnpim A, Suriyawongpaisal P, Techakamolsuk P, Smith GA, Thakkinstian A. BMC Pediatr. 2014; 14(1): 60.

Affiliation

Section for Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Rama VI Road, Rajathevi, Bangkok 10400, Thailand. dr.sakda@gmail.com.

Copyright

(Copyright © 2014, Holtzbrinck Springer Nature Publishing Group - BMC)

DOI

10.1186/1471-2431-14-60

PMID

24575982

PMCID

PMC3939810

Abstract

BACKGROUND: Injury prediction scores facilitate the development of clinical management protocols to decrease mortality. However, most of the previously developed scores are limited in scope and are non-specific for use in children. We aimed to develop and validate a risk prediction model of death for injured and Traumatised Thai children. METHODS: Our cross-sectional study included 43,516 injured children from 34 emergency services. A risk prediction model was derived using a logistic regression analysis that included 15 predictors. Model performance was assessed using the concordance statistic (C-statistic) and the observed per expected (O/E) ratio. Internal validation of the model was performed using a 200-repetition bootstrap analysis. RESULTS: Death occurred in 1.7% of the injured children (95% confidence interval [95% CI]: 1.57-1.82). Ten predictors (i.e., age, airway intervention, physical injury mechanism, three injured body regions, the Glasgow Coma Scale, and three vital signs) were significantly associated with death. The C-statistic and the O/E ratio were 0.938 (95% CI: 0.929-0.947) and 0.86 (95% CI: 0.70-1.02), respectively. The scoring scheme classified three risk stratifications with respective likelihood ratios of 1.26 (95% CI: 1.25-1.27), 2.45 (95% CI: 2.42-2.52), and 4.72 (95% CI: 4.57-4.88) for low, intermediate, and high risks of death. Internal validation showed good model performance (C-statistic = 0.938, 95% CI: 0.926-0.952) and a small calibration bias of 0.002 (95% CI: 0.0005-0.003). CONCLUSIONS: We developed a simplified Thai pediatric injury death prediction score with satisfactory calibrated and discriminative performance in emergency room settings.


Language: en

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