Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury.

ABSTRACT:

Background

Rapid referral of traumatic brain injury (TBI) patients requiring emergency neurosurgery to a specialized trauma center can significantly reduce morbidity and mortality. Currently, no model has been reported to predict the need for acute neurosurgery in severe to moderate TBI patients. This study aims to evaluate the performance of Machine Learning-based models to establish to predict the need for neurosurgery procedure within 24 h after moderate to severe TBI.

Methods

Retrospective multicenter cohort study using data from a national trauma registry (Traumabase®) from November 2011 to December 2020. Inclusion criteria correspond to patients over 18 years old with moderate or severe TBI (Glasgow coma score ≤ 12) during prehospital assessment. Patients who died with

SUBMITTER: Moyer JD 

PROVIDER: S-EPMC9351267 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature