ArticleDisease markers2020
Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database.
Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- Predictive Value of Anion Gap for Acute Kidney Injury Progression and Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2025Trial
- Development and validation of machine learning models to predict 30-day mortality in patients with cardiac arrest complicated by acute kidney injury.Clinics (Sao Paulo, Brazil) · 2026Article
- Association between serum anion gap and 28-day mortality among patients admitted to the hospital with aortic dissection: a retrospective cohort study with the MIMIC-IV database.Journal of thoracic disease · 2026Article
- Explainable Retrospective Sepsis Classification Based on Elixhauser Comorbidity Groups Using Machine and Deep Learning on MIMIC-IV.Journal of clinical medicine · 2026Article
- Predictive Value of 48-hour Anion Gap Fluctuations in ICU Patients with Acute Kidney Injury: An Analysis based on MIMIC Database.Current pharmaceutical design · 2026Article
- Initial serum chloride is associated with all-cause mortality in critically ill patients with acute kidney injury.Renal failure · 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
- Relationship between time-weighted average anion gap and mortality in septic shock patients: a retrospective analysis of the MIMIC-IV database.BMC infectious diseases · 2025Article
- The association between anion gap and prognosis in patients myocardial infarction with congestive heart failure: a retrospective analysis of the MIMIC-IV database.International journal of emergency medicine · 2025Article
- Anion gap predicting 90-Day mortality and guiding furosemide use in ARDS.Scientific reports · 2025Article
- Association of elevated albumin-corrected anion gap with all-cause mortality risk in atrial fibrillation: a retrospective study.BMC cardiovascular disorders · 2025Article
- Albumin corrected anion gap and clinical outcomes in elderly patients with acute kidney injury caused or accompanied by sepsis: a MIMIC-IV retrospective study.European journal of medical research · 2025Article
- Article
- Association between changes in corrected anion gap and mortality among critically ill patients during ICU stay: a multicenter observational study.Frontiers in physiology · 2025Article
- Relationship between albumin-corrected anion gap and lumbar spine bone mineral density: a cross-sectional study.Frontiers in aging · 2025Article
- 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
- Combined effect of anion gap and red cell distribution width on the risk of acute kidney injury after cardiac surgery.Journal of cardiothoracic surgery · 2024Article
- Association between the anion gap and mortality in critically ill patients with influenza: A cohort study.Heliyon · 2024Article
- Association between Albumin-Corrected Anion Gap and Mortality in Patients with Cardiogenic Shock.Reviews in cardiovascular medicine · 2024Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNo epidemiological study has investigated the effect of anion gap (AG) on the prognosis of critically ill patients with acute kidney injury (AKI). Therefore, we aimed to determine the association between serum AG and all-cause mortality in these patients.
methodsFrom MIMIC III, we extracted demographics, vital signs, laboratory tests, comorbidities, and scoring systems from the first 24 h after patient ICU admission. A generalized additive model was used to identify a nonlinear association between anion gap and 30-day all-cause mortality. We also used the Cox proportional hazards models to measure the association between AG levels and 30-day, 90-day, and 365-day mortality in patients with AKI.
resultsA total of 11,573 eligible subjects were extracted from the MIMIC-III. The relationship between AG levels and 30-day all-cause mortality in patients with AKI was nonlinear, with a U-shaped curve. In multivariate analysis, after adjusting for potential confounders, higher AG was a significant predictor of 30-day, 90-day, and 365-day all-cause mortality compared with lower AG (HR, 95% CI: 1.54, 1.33-1.75; 1.55, 1.38-1.73; 1.46, 1.31-1.60).
conclusionsThe relationship between AG levels and 30-day all-cause mortality described a U-shaped curve. High-AG levels were associated with increased risk 30-day, 90-day, and 365-day all-cause mortality in critically ill patients with AKI.
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