ArticleScientific reports2025
Association between serum anion gap and all-cause mortality in critically ill patients with Gastrointestinal bleeding: insights from MIMIC-IV database.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Development and Validation of a Machine Learning-Based Risk Assessment Tool for In-Hospital Mortality in Elderly Patients with Postoperative Hypoxemia Following Non-Cardiac Surgery.Journal of clinical medicine · 2026Article
- Creatinine-to-albumin ratio for early ICU-course (first 24 hours) risk stratification of mortality in critically ill patients with gastrointestinal bleeding: A retrospective cohort study.Science progress · 2026Article
- Lactate-to-albumin ratio as an independent predictor of mortality in critically ill patients with gastrointestinal bleeding: a retrospective cohort study.BMC gastroenterology · 2025Article
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2 authors.
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Abstract
Serum anion gap (AG) holds potential for clinical application in the prognostic assessment of ill patients. Yet its association with all-cause mortality in critically ill patients with gastrointestinal bleeding (GIB) remains underexplored. This cohort study analyzed data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, 2,333 critically ill GIB patients, recording their first-time AG levels. The relationship between AG, ICU mortality, and 90-day mortality in GIB patients was analyzed using the Kaplan-Meier (KM) survival curve, and COX regression model. Restricted cubic splines and subgroup analysis were conducted to enhance the stability and reliability of the findings. A total of 2,333 patients diagnosed with GIB were included in the study. The overall ICU and 90-day mortality in the entire cohort were 9.17% and 27.73%, respectively. KM analysis revealed a significant relationship between high AG and the risk of all-cause mortality (log-rank P < 0.001). After adjusting for all confounders, the association between AG and ICU and 90-day all-cause mortality was significant (HR = 1.07, 95% CI: 1.03-1.12; HR = 1.06, 95% CI: 1.04-1.09, separately). Furthermore, we assessed the potential linear relationship between AG and all-cause mortality (P for non-linearity > 0.05). Subsequent subgroup analysis demonstrated that weight and heart failure could impact the association between the two. AG emerges as a significant biomarker, closely associated with heightened ICU and 90-day mortality in individuals suffering from GIB.
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