A risk score based on admission characteristics to predict progressive hemorrhagic injury from traumatic brain injury in children.

Traumatic brain injury (TBI) is one of the leading causes of death and disability in children, and progressive hemorrhagic injury (PHI) post TBI is associated with poor outcomes. Therefore, the objective of this study was to develop and validate a prognostic model that uses the information available at admission to determine the likelihood of PHI occurrence after TBI in children. The identified demographic data, cause of injury, clinical predictors on admission, computed tomography scan characteristics, and routine laboratory parameters were collected and used to develop a PHI prognostic model with logistic regression analysis, and the prediction model was validated in 68 children. Eight independent prognostic factors were identified: lower Glasgow coma scale score (3 ~ 8) (6 points), intra-axial bleeding/brain contusion (4 points), midline shift ≥5 mm (9 points), platelets <100 × 10

conclusionUsing admission predictors, we developed a relatively simple risk score that accurately predicted the risk of PHI after TBI in children. What is Known: • TBI is one of the leading causes of death and disability in children, and PHI post TBI is associated with poor outcomes. •Prediction of patients at low risk of PHI could help reduce treatment costs, whereas identification of patients at high risk of PHI could direct early medical intervention to improve outcomes. What is New: • This study firstly developed a risk score system by assessing the admission information that could provide an earlier prediction of the occurrence of PHI after acute TBI in children.