ArticleScientific reports2024
Association between serum anion gap and risk of in-hospital mortality in patients with acute heart failure.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic value of anion gap for patients with heart failure: a systematic review and meta-analysis.BMC cardiovascular disorders · 2024Pooled it
- Machine Learning-Based Nomogram with Boruta and LASSO for 28-Day Mortality Prediction in Critical COPD Patients: Role of the Albumin-Corrected Anion Gap.International journal of chronic obstructive pulmonary disease · 2026Article
- Association Between Serum Anion Gap and Risk of Postoperative Delirium in Patients Undergoing Gastric Surgery in ICU: A Retrospective Study From the MIMIC-IV Database.Anesthesiology research and practice · 2026Article
- Association Between Albumin-Corrected Anion Gap and Mortality in ICU Patients With Acute Heart Failure: A MIMIC-IV Cohort Study.Cardiovascular therapeutics · 2026Article
- Group-based trajectory modeling of anion gap and mortality in patients with sepsis: a retrospective analysis of the MIMIC-IV database.European journal of medical research · 2025Article
- Association of albumin-corrected anion gap with mortality in ICU patients with heart failure and acute kidney injury: analysis of the MIMIC-IV database.European journal of medical research · 2025Article
- Non-linear association between anion gap and 28-day mortality in critically ill patients with COVID-19: a cohort study from MIMIC IV database.Journal of thoracic disease · 2025Article
- Albumin-corrected anion gap predicts acute kidney injury in critically ill patients with acute pancreatitis: a retrospective cohort study.BMC nephrology · 2025Article
- Article
- Association between anion gap and postoperative delirium in patients undergoing open heart surgery.Frontiers in cardiovascular medicine · 2025Article
- Association between serum anion gap trajectory and mortality in hospitalized patients with sepsis: an analysis of the MIMIC-IV database.Frontiers in endocrinology · 2025Article
- Association of albumin-corrected anion gap with severe consciousness disorders and outcomes in ischemic stroke: a retrospective MIMIC analysis.Scientific reports · 2024Article
- Association between serum anion gap and 28-day mortality in critically ill patients with infective endocarditis: a retrospective cohort study from MIMIC IV database.BMC cardiovascular disorders · 2024Article
- Association between the anion gap and mortality in critically ill patients with influenza: A cohort study.Heliyon · 2024Article
- Machine Learning-Based Pathomics Model to Predict the Prognosis in Clear Cell Renal Cell Carcinoma.Technology in cancer research & treatmentArticle
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A high serum anion gap (AG) at the time of patient admission can lead to the deterioration or even death; data are lacking for patients who suffer acute heart failure (AHF). The present study aimed at exploring the impact of serum AG (SAG) levels on the in-hospital mortality in AHF patients. The study conducted retrospective analysis on the data from the medical information mart for intensive care (MIMIC-IV) database in severe AHF cases. Serum AG, age, sex, concomitant diseases and laboratory tests were collected from patients at admission. Multivariate Cox proportional hazard regression model together with Kaplan Meier (K-M) survival curve served for analyzing the relationship of serum AG with the hospital all-cause mortality (ACM). In addition, subgroup analysis assisted in assessing the concordance. Data from 2774 AHF patients were collected in the study. The hospital ACM rate was 9.2% (254/2774). After correcting potential confounders, multivariate analysis compared the high serum AG level (≥ 16 mmol/L) and the low serum AG level (< 16 mmol/L) (hazard ratio (HR): 1.89 [95% CI 1.42-2.51]). In a similar way, K-M survival curve indicated that hospital survival was lower in patients with high serum, suggesting that high serum AG level could lead to poor AHF prognosis. In patients with AHF, high serum AG level could increase the hospital ACM.
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