2017
DOI: 10.1016/j.jcot.2017.08.001
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Performance of physiology scoring systems in prediction of in-hospital mortality of traumatic children: A prospective observational study

Abstract: As calculations of RAPS is easier than REMS and their proper calibrations, it seems that RAPS is the best physiologic model in predicting in-hospital mortality and classifying in traumatic children based on severity of injury. However, further validation of the recommended score is essential before implementing them into routine clinical practice.

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Cited by 5 publications
(4 citation statements)
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“…The AUC for the GCS for the prediction of in-hospital mortality was 0.89 27 . In a study of 104,035 records of pediatric trauma aged 1 to 18 years with 3946 deaths, the AUC of the GCS for mortality prediction was 0.946 28 , which was much closer to that of our study (AUC of GCS for mortality: 0.954) 29 .…”
Section: Discussionsupporting
confidence: 84%
“…The AUC for the GCS for the prediction of in-hospital mortality was 0.89 27 . In a study of 104,035 records of pediatric trauma aged 1 to 18 years with 3946 deaths, the AUC of the GCS for mortality prediction was 0.946 28 , which was much closer to that of our study (AUC of GCS for mortality: 0.954) 29 .…”
Section: Discussionsupporting
confidence: 84%
“…refinement of the revised trauma score (RTS) parameters that were used to determine the prognosis. [14][15][16] Another score created in 2004 is the modified rapid emergency medicine score (mREMS), which incorporates age, systolic blood pressure (SBP), heart rate (HR), RR, SpO 2 , and GCS. 17,18 This investigation will help the healthcare system to plan to reduce mortality in the elderly by choosing efficient methods to assess patients' prognoses.…”
Section: Original Articlementioning
confidence: 99%
“…RTS evalúa tres parámetros: evaluación neurológica mediante la escala de coma de Glasgow (GCS); evaluación hemodinámica por la presión arterial sistólica (PAS); y frecuencia respiratoria (FR). Su importancia radica en su poder predictivo sobre la mortalidad de los heridos en caso de emergencias masivas donde el gran número de víctimas impone el uso de una escala matemática rápida y fiable [16][17].…”
Section: Introductionunclassified