Analysis of factors associated with 1-year rebleeding in patients with acute upper gastrointestinal bleeding and a Glasgow- Blatchford Score ≥ 6 based on serological indicators

This is the authors' abstract. We don't add key points for this paper.

Objective: Analysis of serological indicators for recurrent bleeding within 1 year in patients with upper gastrointestinal bleeding and a Glasgow-Blatchford Score (GBS) ≥ 6, identification of independent risk factors, and development of a risk prediction model for recurrent bleeding within 1 year. Methods: = 175) at a 7:3 ratio. A prediction model was developed through logistic regression analysis on the training set. Additionally, Random Forest analysis was applied, and its outcomes were visualized. The predictive performance of the newly developed model was assessed by means of a receiver operating characteristic curve, a line graph, and calibration and decision curves. Furthermore, the model was compared against the AIMS65 and GBS scoring systems to evaluate its comparative predictive value. Results: A new model was developed based on heart rate, blood pressure, hemoglobin, history of peptic ulcer, comorbid liver disease, albumin, platelet count, and CRP. The model achieved an AUC of 0.938 (95% CI: 0.915-0.961) in the training cohort, substantially higher than the AUCs for the GBS (0.590) and AIMS65 (0.562) scores. In the validation cohort, the model maintained an AUC of 0.940, compared to 0.612 for GBS and 0.637 for AIMS65. Superior performance was further evidenced by decision and calibration curve analyses, which indicated advantages in predictive accuracy, calibration, and net clinical benefit over the two conventional scores. Conclusion: The model exhibits robust performance in the prediction of 1-year rebleeding among patients scoring GBS ≥ 6, underscoring its potential clinical applicability.