Validating performance of TRISS, TARN and NORMIT survival prediction models in a Norwegian trauma population.

ABSTRACT:

Introduction

Anatomic injury, physiological derangement, age, injury mechanism and pre-injury comorbidity are well-founded predictors of trauma outcome. Statistical prediction models may have poorer discrimination, calibration and accuracy when applied in new locations. We aimed to compare the TRISS, TARN and NORMIT survival prediction models in a Norwegian trauma population.

Methods

Consecutive patients admitted to Oslo University Hospital Ullevål within 24 h after injury, with Injury Severity Score ≥ 10, proximal penetrating injuries, or received by trauma team, were studied. Original NORMIT coefficients were updated in a derivation dataset (NORMIT 2; n = 5923; 2005-2009). TRISS, TARN and NORMIT prediction models were evaluated in the validation dataset (n = 6348; 2010-201

SUBMITTER: Skaga NO 

PROVIDER: S-EPMC5813212 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature