Unknown

Dataset Information

Prediction of in-hospital mortality after acute upper gastrointestinal bleeding: cross-validation of several risk scoring systems.


ABSTRACT:

Objective

We aimed to identify the clinical, biochemical, and endoscopic features associated with in-hospital mortality after acute upper gastrointestinal bleeding (AUGIB), focusing on cross-validation of the Glasgow-Blatchford score (GBS), full Rockall score (RS), and Cedars-Sinai Medical Center Predictive Index (CSMCPI) scoring systems.

Methods

Our prospective cross-sectional study included 156 patients with AUGIB. Several statistical approaches were used to assess the predictive accuracy of the scoring systems.

Results

All three scoring systems were able to accurately predict in-hospital mortality (area under the receiver operating characteristic curve [AUC] > 0.9); however, the multiple logistic model separated the presence of hemodynamic instability (state of sho

SUBMITTER: Benedeto-Stojanov D 

PROVIDER: S-EPMC8943321 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature