Technological integration in timing of endoscopy: Predictive modeling for acute upper gastrointestinal bleeding outcomes

BackgroundTechnological advancements have revolutionized the management of acute upper gastrointestinal bleeding (AUGIB). However, the impact of endoscopic timing on treatment outcomes remains a critical area of exploration.ObjectiveThis study evaluated the role of endoscopic timing in improving treatment outcomes for AUGIB and introduces a predictive model incorporating clinical and technological insights.MethodsA retrospective analysis of AUGIB patients treated between December 2020 and December 2023 was conducted. Logistic regression identified significant predictors of outcomes, and receiver operating characteristic (ROC) analysis evaluated their predictive value. A predictive model was developed based on these findings.ResultsAmong 145 patients, 35 (24.1%) experienced rebleeding. Key predictors included endoscopic timing, active bleeding, shock on admission, and bleeding volume (p < 0.05). The predictive model demonstrated robust performance (C-index: 0.885, 95% CI: 0.810-0.956), emphasizing the clinical relevance of precise timing in endoscopic intervention.ConclusionThis study underscores the importance of integrating technology with clinical practice to optimize endoscopic timing and improve AUGIB outcomes. The predictive model offers a valuable tool for risk stratification and clinical decision-making in modern healthcare settings.