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In-Hospital Mortality in Patients With Lower Gastrointestinal Bleeding: Development and Validation of a Prediction Score Publisher Pubmed



Dajti E1, 2 ; Frazzoni L3 ; Castelletfarrus S4 ; Guardiola J4 ; Sinagra E5 ; Anderloni A6 ; Ferrara F7 ; Gkolfakis P8 ; Camus Duboc M9 ; Mandarino FV10 ; Sadeghi A11 ; Lorenzozuniga V12 ; Perez S13 ; Triantafyllou K14 Show All Authors
Authors
  1. Dajti E1, 2
  2. Frazzoni L3
  3. Castelletfarrus S4
  4. Guardiola J4
  5. Sinagra E5
  6. Anderloni A6
  7. Ferrara F7
  8. Gkolfakis P8
  9. Camus Duboc M9
  10. Mandarino FV10
  11. Sadeghi A11
  12. Lorenzozuniga V12
  13. Perez S13
  14. Triantafyllou K14
  15. Curado MP15
  16. Facciorusso A16
  17. Collatuzzo G2
  18. Hassan C17, 18
  19. Radaelli F19
  20. Fuccio L12

Source: Endoscopy Published:2025


Abstract

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. © 2025. Thieme. All rights reserved.
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