ArticleScientific reports2022
The association between anion gap and in-hospital mortality of post-cardiac arrest patients: a retrospective study.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Dynamics of serum anion gaps with in-hospital mortality: Analysis of the multi-open databases.PloS one · 2024Pooled it
- 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
- Article
- Article
- Construction of a predictive nomogram for ICU mortality in patients with cardiac arrest using the MIMIC-IV database and the eICU Collaborative Research Database.BMC cardiovascular disorders · 2026Article
- Article
- Association between albumin-corrected anion gap and 28-day mortality in critically ill patients with pneumonia in the intensive care unit: evidence from the medical information mart for intensive care IV database.BMC pulmonary medicine · 2026Observational
- 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
- Associations Between Albumin-Corrected Anion Gap and Mortality in Heart Failure Patients with Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study.International journal of chronic obstructive pulmonary disease · 2026Article
- Association of albumin-corrected anion gap with all-cause and cardiovascular mortality in overactive bladder patients.Scientific reports · 2025Article
- How Long Do We Have? A Retrospective Review of Palliative Extubation in the Burn Unit.Journal of burn care & research : official publication of the American Burn Association · 2025Article
- Construction and validation of prognostic model for ICU mortality in cardiac arrest patients: an interpretable machine learning modeling approach.European journal of medical research · 2025Article
- The association of albumin-corrected anion gap and acute kidney injury in heart failure patients: a competing risk model analysis.BMC cardiovascular disorders · 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
- Prognostic significance of albumin corrected anion gap in patients with acute pancreatitis: a novel perspective.Scientific reports · 2025Article
- Development and validation of a nomogram to predict survival in septic patients with heart failure in the intensive care unit.Scientific reports · 2025Article
- Observational
- Association between changes in corrected anion gap and mortality among critically ill patients during ICU stay: a multicenter observational study.Frontiers in physiology · 2025Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to determine the association between anion gap and in-hospital mortality in post-cardiac arrest (CA) patients. Extracted the data of patients diagnosed with CA from MIMIC-IV database. Generalized additive model (GAM), Cox regression and Kaplan-Meier survival analysis were used to demonstrate the association between AG levels and in-hospital mortality. ROC curve analysis for assessing the discrimination of AG for predicting in-hospital mortality. Totally, 1724 eligible subjects were included in our study finally. 936 patients (551 males and 385 females) died in hospital, with the prevalence of in-hospital mortality was 54.3%. The result of the Kaplan-Meier analysis showed that the higher value of AG had significant lower survival possibility during the hospitalization compared with the lower-value of AG patients. In the crude Cox regression model, high-level of AG subjects was associated with significant higher HR compared with low-level of AG subjects. After adjusted the vital signs data, laboratory data, and treatment, high-level of AG (group Q3 and group Q4) were also associated with increased risk of in-hospital mortality compared with low-level of AG group, 1.52 (95% Cl 1.17-1.85; P < 0.001), 1.64 (95% Cl 1.21-2.08; P < 0.001), respectively. The ROC curve indicated that AG has acceptable discrimination for predicting in-hospital mortality. The AUC value was found to be 0.671 (95% CI 0.646-0.698). Higher AG levels was associated with poor prognosis in post-CA patients. AG is a predictor for predicting in-hospital mortality of CA, and could help refine risk stratification.
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