In-hospital Mortality in Patients with Lower Gastrointestinal Bleeding: Development and Validation of a Prediction Score.

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Tác giả: Andrea Anderloni, Marine Camus Duboc, Sílvia Castellet-Farrús, Giulia Collatuzzo, Maria Paula Curado, Elton Dajti, Antonio Facciorusso, Francesco Ferrara, Leonardo Frazzoni, Lorenzo Fuccio, Paraskevas Gkolfakis, Jordi Guardiola, Cesare Hassan, Vicente Lorenzo-Zúñiga, Francesco Vito Mandarino, Sandra Perez, Franco Radaelli, Anahita Sadeghi, Emanuele Sinagra, Konstantinos Triantafyllou

Ngôn ngữ: eng

Ký hiệu phân loại: 027.662 *Hospital libraries

Thông tin xuất bản: Germany : Endoscopy , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 181968

 BACKGROUND AND STUDY AIMS: Lower gastrointestinal bleeding (LGIB) is a common condition linked to increased morbidity, healthcare costs, and mortality. Currently, no prospectively validated prognostic model exists to predict mortality in LGIB patients. Our aim was to develop and validate a risk score that could accurately predict in-hospital mortality of patients admitted for LGIB. PATIENTS AND METHODS: Patient data from a nationwide cohort study in 15 centers in Italy (2019-2020) were used to derivate the risk score (Acute Lower gastrointestinal Bleeding and In-hospital mortality, ALIBI score)
  the model was then externally validated in a cohort of consecutive patients hospitalized for LGIB in 12 centers from six countries (Italy, Spain, France, Greece, Iran, Brazil) in 2020-2024. The main outcome was in-hospital mortality
  we also reported rebleeding rates and in-hospital mortality rate stratified by risk score and timing of colonoscopy. RESULTS: Among 1,198 patients in the derivation cohort, 105 (8.8%) rebled, 41 (3.4%) died. Age, Charlson Comorbidity Index (CCI), in-hospital onset, hemodynamic instability, and creatinine levels were independent predictors of in-hospital mortality. The model demonstrated excellent discrimination (AUROC=0.813, 95%-CI: 0.752-0.874) and calibration. In the validation cohort (n=752 patients), the model's good discrimination (AUROC=0.792, 95%-CI: 0.720-0.863) and calibration were confirmed. Patients were categorized as low (0-4 points, 1% mortality), intermediate (5-9 points, 4.6% mortality), or high risk (10-13 points, 19.1% mortality). CONCLUSIONS: A new validated score effectively predicts in-hospital mortality in LGIB patients, aiding in risk stratification and management.
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