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Updated: Oct 3, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Derivation and validation of Re.Co.De death score risk in patients with acute nonvariceal upper GI bleeding
Riccardo Marmo1, Marco Soncini2, Cristina Bucci3
1Gastroenterology and Endoscopy Unit, "L. Curto" Hospital, Salerno, Italy.
Background And Aims:
Scores in upper GI bleeding (UGIB) are used to stratify death risk and need for hospitalization at admission, but a tool that incorporates dynamic changes during the hospital stay is lacking. We aimed to develop a death risk score that considers changes in clinical status during hospitalization and compare its performance with existing ones.
Methods:
A multicenter cohort study enrolling patients with UGIB in 50 Italian hospitals from January 2014 to December 2015 was conducted. Data were collected and used to develop a risk score using logistic regression analyses. Performance curves (area under the receiver-operating characteristic [AUROC] curves), sensitivities, specificities, positive and negative predictive values, and outcomes classified as low, intermediate, and high death risk were calculated. The score's performance was externally validated and then compared with other scores.
Results:
We included 1852 patients with nonvariceal UGIB in the development cohort and 912 in the validation cohorts. The new score, which we named the Re.Co.De (rebleeding-comorbidities-deteriorating) score, included 10 variables depicting the changes in clinical conditions while in the hospital. The mortality AUROC curves were .93 (95% confidence interval, .91-.96) in the derivation cohort and .94 (95% confidence interval, .91-.98) in validation cohort. In a comparison of AUROC curves with other scores, the new score showed a significant performance compared with pre- and postendoscopy scores. Patients with low and high scores had 30-day mortality rates of .001% and 48.2%, respectively.
Conclusions:
The Re.Co.De score has a higher performance for predicting mortality in patients with UGIB compared with other scores, correctly identifying patients at low and high death risk while in the hospital through a dynamic re-evaluation of clinical status.
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