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Dataset Information

Development of a prehospital clinical prediction score for predicting massive blood transfusion in patients with trauma.


ABSTRACT:

Background

Most prehospital trauma deaths result from exsanguination. Developing a scoring system to predict massive blood transfusion (MBT) is essential in urban areas of middle- to lower-income developing countries where traffic accidents are frequent.

Aim

To develop and validate a clinical score for predicting MBT in prehospital trauma patients.

Methods

Data were obtained from emergency medical service (EMS) patient care reports between January 2018 and October 2023. Multiple logistic regression was used to develop the score. Discrimination was assessed using receiver operating characteristics (ROC) curve analysis, and the area under the ROC curve (AuROC) with 95 % confidence interval was reported. Risk groups were defined by positive likelihood ratio (LR + ).Resul

SUBMITTER: Huabbangyang T 

PROVIDER: S-EPMC12596539 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature