ArticleAnnals of translational medicine2022
Predictive value of the serum anion gap for 28-day in-hospital all-cause mortality in sepsis patients with acute kidney injury: a retrospective analysis of the MIMIC-IV database.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 21 citations in OpenAlex.
- Predictive Value of Anion Gap for Acute Kidney Injury Progression and Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2025Trial
- Anion gap trajectory patterns and prognosis in sepsis patients: A multicenter retrospective study.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
- Prediction of all-cause in-hospital mortality after ICU admission and 1-year mortality after discharge of patients with acute kidney injury.Renal failure · 2025Article
- Impact of anion gap on in-hospital mortality in trauma-induced coagulopathy patients: a MIMIC-IV study.European journal of medical research · 2025Article
- 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
- 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 Role of Venous Blood Gas Analysis in Critical Care: A Narrative Review.Medicina (Kaunas, Lithuania) · 2025Review
- Prognostic significance of albumin corrected anion gap in patients with acute pancreatitis: a novel perspective.Scientific reports · 2025Article
- Article
- Association between serum anion gap trajectory and mortality in hospitalized patients with sepsis: an analysis of the MIMIC-IV database.Frontiers in endocrinology · 2025Article
- Independent prognostic importance of the albumin-corrected anion gap in critically ill patients with congestive heart failure: a retrospective 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
- The association between anion gap and length of stay in patients undergoing hip fracture surgery: data from the MIMIC-IV database.BMC musculoskeletal disorders · 2024Article
- Association between albumin-corrected anion gap level and the risk of acute kidney injury in intensive care unit.International urology and nephrology · 2024Article
- Association Between Albumin-Corrected Anion Gap and In-Hospital Mortality and Sepsis-Associated Acute Kidney Injury.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
- The preventative effects ofFrontiers in microbiology · 2024Article
- Prognostic Value of the Baseline and Early Changes in Monocyte-to-Lymphocyte Ratio for Short-Term Mortality among Critically Ill Patients with Acute Kidney Injury.Journal of clinical medicine · 2023Article
- Effect of sodium bicarbonate infusion on hospital mortality in acute kidney injury patients with metabolic acidosis.Frontiers in medicine · 2023Article
- The predictive values of admission characteristics for 28-day all-cause mortality in septic patients with diabetes mellitus: a study from the MIMIC database.Frontiers in endocrinology · 2023Article
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Authors and funding
8 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Background: The kidney is one of the most vulnerable organs in sepsis patients, which mainly manifests as sepsis-associated acute kidney injury (SA-AKI). The case fatality rate of SA-AKI is high, and thus, predicting the risk of SA-AKI-related death is hugely significant. Anion gap (AG) is an important indicator in critical illness patients. The present study aimed to analyze the predictive value of the AG for the short-term prognosis of SA-AKI patients. Methods: SA-AKI patient data from the Medical Information Mart for Intensive Care (MIMIC-IV) database were collected retrospectively. Hospitalized septic patients who meet the inclusion criteria were included in the final analysis. All laboratory test parameters only included the data generated within the first 24 hours after the patient entered the intensive care unit (ICU) and the extreme value. Univariate and multivariate logistic regression analyses were performed to analyze the risk factors related to the death of SA-AKI patients within 28 days during hospitalization in the ICU. Results: A total of 3,684 SA-AKI patients were included, including 3,305 patients with low AG (<18 mmol/L) and 379 patients with high AG (≥18 mmol/L). Among these patients, 497 cases (13.5%) died during hospitalization, including 376 cases (11.4%) in the low AG group and 121 cases (31.9%) in the high AG group. Multivariate logistic regression analysis showed that elevated AG increased the risk of death in SA-AKI patients within 28 days during hospitalization in the ICU (odds ratio =1.2, 95% confidence interval: 1.2-1.3). Further analysis showed that the risk of death of SA-AKI patients within 28 days during hospitalization in the ICU was increased when AG ≥14 mmol/L. The relationship between AG level and the risk of death of SA-AKI patients during hospitalization was S-shaped. Conclusions: In clinical practice, AG levels can serve as a valuable predictor of the death risk of SA-AKI patients during hospitalization.
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