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Published on: October 2, 2020
Comparative Evaluation of A4C, CHAMPS, and CAGIB Scores for Risk Stratification in Hemodialysis Patients with Acute
1Department of Internal Medicine, Etimesgut Şehit Sait Ertürk State Hospital, Ankara 06790, Turkey.
Insights
Risk stratification for gastrointestinal bleeding (GIB) in hemodialysis (HD) patients requires etiology-specific scores. CHAMPS is best for non-variceal GIB, while CAGIB excels for variceal bleeding, improving mortality prediction.
Area of Science:
- Nephrology
- Gastroenterology
- Clinical Epidemiology
Background:
- Gastrointestinal bleeding (GIB) poses a significant mortality risk for patients undergoing hemodialysis (HD).
- Existing risk stratification scores like A4C and CHAMPS are novel, while CAGIB was designed for cirrhosis-associated GIB.
- Comparing these scores in HD patients with acute GIB, stratified by bleeding source, is crucial for accurate prognostication.
Purpose of the Study:
- To compare the discriminative performance of A4C, CHAMPS, and CAGIB scores in hemodialysis patients with acute GIB.
- To evaluate the efficacy of these scores in predicting 30-day mortality, ICU admission, rebleeding, and transfusion needs.
- To determine the optimal scoring system for risk stratification based on the etiology of GIB (variceal vs. non-variceal).
Main Methods:
- A retrospective cohort study included 57 hemodialysis patients with acute GIB from January 2020 to December 2024.
- Patients were stratified into non-variceal (n=42) and variceal (n=15) GIB groups.
- Performance of A4C, CHAMPS, CAGIB, ABC, AIMS65, and Glasgow-Blatchford scores was assessed using AUROC analysis for 30-day mortality and other outcomes.
Main Results:
- Overall 30-day mortality was 17.5%, higher in variceal (26.7%) than non-variceal GIB (14.3%).
- For non-variceal GIB, CHAMPS showed superior mortality discrimination (AUROC 0.91) over CAGIB (AUROC 0.68).
- For variceal GIB, CAGIB demonstrated better performance (AUROC 0.89) compared to CHAMPS (AUROC 0.72). A4C showed consistent transfusion prediction (AUROC 0.75-0.78).
Conclusions:
- Optimal risk stratification for GIB in hemodialysis patients necessitates etiology-specific scoring tools.
- CHAMPS is recommended for non-variceal GIB, while CAGIB is preferred for variceal bleeding.
- Prospective validation in larger, multicenter cohorts is warranted to confirm these findings.
Abstract:
Background/Objectives: Gastrointestinal bleeding (GIB) in hemodialysis (HD) patients carries substantial mortality risk. The A4C and CHAMPS scores are novel risk stratification tools, while CAGIB was developed for cirrhosis-associated GIB. We compared the discriminative performance of these scores in HD patients with acute GIB, stratified by variceal and non-variceal etiology. Methods: We conducted a retrospective cohort study of 57 HD patients with acute GIB (January 2020-December 2024) following STROBE and TRIPOD guidelines. Patients were stratified as non-variceal (n = 42) or variceal (n = 15). The primary outcome was 30-day mortality; secondary outcomes included ICU admission, rebleeding, and transfusion requirements. A4C, CHAMPS, CAGIB, ABC, AIMS65, and Glasgow-Blatchford scores were compared using AUROC analysis. Results: Mean age was 45.8 ± 13.2 years. Non-variceal GIB (73.7%) was predominantly caused by angiodysplasia (28.6%) and peptic ulcer disease (23.8%); variceal GIB (26.3%) was mainly from esophageal varices (80.0%). Overall 30-day mortality was 17.5%, significantly higher in variceal (26.7%) versus non-variceal GIB (14.3%, p = 0.048). For non-variceal GIB, CHAMPS demonstrated excellent mortality discrimination (AUROC 0.91), significantly outperforming CAGIB (AUROC 0.68, p = 0.02). Conversely, for variceal GIB, CAGIB showed superior performance (AUROC 0.89) compared to CHAMPS (AUROC 0.72, p = 0.04). A4C performed consistently for transfusion prediction across both groups (AUROC 0.75-0.78). Conclusions: Optimal risk stratification in HD patients with GIB requires etiology-specific scoring: CHAMPS for non-variceal and CAGIB for variceal bleeding. This complementary performance reflects distinct pathophysiological mechanisms underlying mortality. Prospective validation in larger multicenter cohorts is warranted.
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