ArticleBMC surgery2022
Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study.
Article in BMC surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- 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 enteral nutrition timing and postoperative anion gap trajectory in cardiac surgery ICU patients: a retrospective study based on the MIMIC-IV database.Journal of cardiothoracic surgery · 2026Article
- Association between changes in corrected anion gap and mortality among critically ill patients during ICU stay: a multicenter observational study.Frontiers in physiology · 2025Article
- The correlation between albumin-corrected anion gap and prognosis in patients with acute myocardial infarction.ESC heart failure · 2024Article
- Better prognosis in surgical aortic valve replacement patients with lower red cell distribution width: A MIMIC-IV database study.PloS one · 2024Article
- Association between anion gap and all-cause mortality of critically ill surgical patients: a retrospective cohort study.BMC surgery · 2023Article
- The association between serum anion gap and all-cause mortality of unselected adult patients: A retrospective cohort study of >20,000 patients.Journal of clinical laboratory analysis · 2023Article
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Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundsHigh level of anion gap (AG) was associated with organic acidosis. This study aimed to explore the relationship between delta AG (ΔAG = AG
methodsIn this retrospective cohort study, we identified patients from the open access database called Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC III). A logistic regression model was established to predict hospital mortality by adjusting confounding factors using a stepwise backward elimination method. We conducted receiver operating characteristic (ROC) curves to compare the diagnostic performance of acid-base variables. Cox regression model and Kaplan Meier curve were applied to predict patients' 90-day overall survival (OS).
resultsA total of 2,860 patients were identified. ΔAG was an independent predictive factor of hospital mortality (OR = 1.24 per 1 mEq/L increase, 95% CI: 1.11-1.39, p < 0.001). The area under curve (AUC) values of ΔAG suggested a good diagnostic accuracy (AUC = 0.769). We established the following formula to estimate patients' hospital mortality: Logit(P) = - 15.69 + 0.21ΔAG + 0.13age-0.21BE + 2.69AKF. After calculating Youden index, patients with ΔAG ≥ 7 was considered at high risk (OR = 4.23, 95% CI: 1.22-14.63, p = 0.023). Kaplan Meier curve demonstrated that patients with ΔAG ≥ 7 had a poorer 90-day OS (Adjusted HR = 3.20, 95% CI: 1.81-5.65, p < 0.001).
conclusionΔAG is a prognostic factor of hospital mortality and 90-day OS. More prospective studies are needed to verify and update our findings.
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