ArticleBMC nephrology2023
Predictive value of glycemic gap and stress glycemia ratio among critically ill patients with acute kidney injury: a retrospective analysis of the MIMIC-III database.
Article in BMC nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 12 citations in OpenAlex.
- Stress hyperglycemia ratio as a predictor of in-hospital mortality in patients with acute kidney injury: a retrospective cohort study.Clinical and experimental nephrology · 2026Article
- Predictive value of stress-induced hyperglycemia for 28-day all-cause mortality in ICU patients with sepsis: a MIMIC-IV-based retrospective cohort study.Clinics (Sao Paulo, Brazil) · 2026Article
- Bloodstream Infection After Major Burn Surgery in Relation to Preoperative Glycemic Gap Among Patients Without Diabetes: A Retrospective Cohort Study.International journal of molecular sciences · 2026Article
- Integration of stress hyperglycemia ratio and c-reactive protein level improves postoperative acute kidney injury risk stratification after noncardiac surgery: A nested case-control study.Pakistan journal of medical sciences · 2026Article
- Article
- Association between hemoglobin glycation index and poor prognosis in patients with AKI: a retrospective cohort analysis of the MIMIC-IV database.Renal failure · 2025Article
- Stress hyperglycemia ratio as a predictor of acute kidney injury and its outcomes in critically ill patients.Renal failure · 2025Article
- Association between stress hyperglycemia ratio and all-cause mortality in patients with acute kidney injury: a retrospective analysis of the MIMIC-IV database using machine learning.BMC nephrology · 2025Article
- To explore the relationship between multiple glycemic markers and all-cause mortality in patients with severe atrial fibrillation based on multiple databases.Scientific reports · 2025Article
- Stress hyperglycemia ratio linked to all-cause mortality in critically ill patients with ischemic heart disease.BMC cardiovascular disorders · 2025Article
- Risk analysis and mediation analysis of stress hyperglycemia ratio and all-cause mortality in patients with acute kidney injury.Diabetology & metabolic syndrome · 2025Article
- Assessment of stress hyperglycemia ratio to predict mortality in critically ill patients with sepsis: a retrospective cohort study from the MIMIC-IV database.Frontiers in endocrinology · 2025Article
- Impact of stress hyperglycemia ratio on acute kidney injury and mortality in patients with cardiogenic shock: a retrospective analysis.Frontiers in endocrinology · 2025Article
- The association between stress hyperglycemia ratio and clinical outcomes in patients with sepsis-associated acute kidney injury: a secondary analysis of the MIMIC-IV database.BMC infectious diseases · 2024Article
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6 authors at 5 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsAcute hyperglycemia has been identified as a risk factor for acute kidney injury occurrence and mortality in various diseases. The aim of the current study was to investigate the relationship between stress-induced hyperglycemia and adverse outcomes in critically ill patients with AKI.
methodsWe extracted clinical data from Multiparameter Intelligent Monitoring in Intensive Care III version 1.4. Blood glucose and glycosylated hemoglobin during the first 24 h of ICU admission were used to calculate glycemic gap and stress hyperglycemia ratio (SHR). The outcomes included ICU mortality and need for renal replacement therapy. The association of the glycemic gap and SHR with outcomes were determined via logistic regression model and receiver-operating curves. The subgroup analysis of patients with and without diabetes was performed separately.
resultsHigher glycemic gap and SHR were observed in patients who had increased need of RRT, higher mortality rates and longer ICU stay. Multivariate analysis demonstrated that higher glycemic gap (OR 1.01, 95%CI 1.00-1.02, P = 0.015), as well as SHR (OR 1.32; 95%CI 1.07-1.64, P = 0.009), were independently associated with ICU mortality after adjusting for potential covariates. In subgroup analysis, the association of glycemic gap and SHR were only significant in the non-diabetic population as for the outcome of ICU mortality (OR 2.25, 95%CI 1.64-3.08, P < 0.001 and OR 1.99; 95%CI 1.46-2.72, P < 0.001, respectively).
conclusionsThe glycemic gap and SHR might serve as a potential prognostic indicator of ICU mortality in critically ill patients with AKI, especially in the non-diabetic population.
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