TY - JOUR
T1 - In-hospital mortality in patients with lower gastrointestinal bleeding
T2 - development and validation of a prediction score
AU - on behalf of the ALIBI Study Group
AU - Dajti, Elton
AU - Frazzoni, Leonardo
AU - Castellet-Farrús, Sílvia
AU - Guardiola, Jordi
AU - Sinagra, Emanuele
AU - Anderloni, Andrea
AU - Ferrara, Francesco
AU - Gkolfakis, Paraskevas
AU - Duboc, Marine Camus
AU - Mandarino, Francesco Vito
AU - Sadeghi, Anahita
AU - Lorenzo-Zúñiga, Vicente
AU - Perez, Sandra
AU - Triantafyllou, Konstantinos
AU - Curado, Maria Paula
AU - Facciorusso, Antonio
AU - Collatuzzo, Giulia
AU - Hassan, Cesare
AU - Radaelli, Franco
AU - Fuccio, Lorenzo
AU - Mauro, Aurelio
AU - Busatto, Alberto
AU - Tziatzios, Georgios
AU - Panagaki, Antonia
AU - Raimondi, Dario
AU - Rossi, Francesca
AU - Conoscenti, Giuseppe
AU - Alloro, Rita
AU - Danese, Silvio
AU - Malekzadeh, Reza
AU - Coello, Elena
AU - de Santiago, Enrique Rodriguez
AU - Kupper, Bruna Elisa Catin
AU - Aguiar, Samuel
AU - Nakagawa, Wilson Toshihiko
AU - Boffetta, Paolo
AU - Barbara, Giovanni
AU - Mosconi, Cristina
AU - Repici, Alessandro
AU - Mussetto, Alessandro
AU - Spada, Cristiano
AU - Manes, Gianpiero
AU - Segato, Sergio
AU - Musso, Alessandro
AU - Di Giulio, Emilio
AU - Manno, Mauro
AU - De Nucci, Germana
AU - Festa, Virginia
AU - Di Leo, Alfredo
AU - Marini, Mario
N1 - Publisher Copyright:
© 2025. Thieme. All rights reserved. Georg Thieme Verlag KG, Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany.
PY - 2025/4/4
Y1 - 2025/4/4
N2 - Background 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 patients with LGIB. Our aim was to develop and validate a risk score that could accurately predict in-hospital mortality of patients admitted for LGIB. Methods Patient data from a nationwide cohort study in 15 centers in Italy (2019–2020) were used to derive the risk score, the 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, and Brazil) from 2022 to 2024. The main outcome was in-hospital mortality; we also reported rebleeding rates and the in-hospital mortality rate stratified by risk score and timing of colonoscopy. Results Among 1198 patients in the derivation cohort, 105 (8.8%) re-bled and 41 (3.4%) died. Age, Charlson Co-morbidity Index, in-hospital onset, hemodynamic instability, and creatinine level were independent predictors of in-hospital mortality. The model demonstrated excellent discrimination (area under the receiver operating curve [AUROC] 0.81, 95%CI 0.75–0.87) and calibration. In the validation cohort (n = 752 patients), the model's good discrimination (AUROC 0.79, 95%CI 0.72–0.86) 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). Conclusion A new validated score effectively predicts in-hospital mortality in patients with LGIB, aiding in their risk stratification and management.
AB - Background 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 patients with LGIB. Our aim was to develop and validate a risk score that could accurately predict in-hospital mortality of patients admitted for LGIB. Methods Patient data from a nationwide cohort study in 15 centers in Italy (2019–2020) were used to derive the risk score, the 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, and Brazil) from 2022 to 2024. The main outcome was in-hospital mortality; we also reported rebleeding rates and the in-hospital mortality rate stratified by risk score and timing of colonoscopy. Results Among 1198 patients in the derivation cohort, 105 (8.8%) re-bled and 41 (3.4%) died. Age, Charlson Co-morbidity Index, in-hospital onset, hemodynamic instability, and creatinine level were independent predictors of in-hospital mortality. The model demonstrated excellent discrimination (area under the receiver operating curve [AUROC] 0.81, 95%CI 0.75–0.87) and calibration. In the validation cohort (n = 752 patients), the model's good discrimination (AUROC 0.79, 95%CI 0.72–0.86) 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). Conclusion A new validated score effectively predicts in-hospital mortality in patients with LGIB, aiding in their risk stratification and management.
UR - https://www.scopus.com/pages/publications/105002415380
U2 - 10.1055/a-2541-2312
DO - 10.1055/a-2541-2312
M3 - Article
C2 - 39961368
AN - SCOPUS:105002415380
SN - 0013-726X
VL - 57
SP - 839
EP - 848
JO - Endoscopy
JF - Endoscopy
IS - 8
ER -