ArticleScientific reports2024
Stress hyperglycemia ratio association with all-cause mortality in critically ill patients with coronary heart disease: an analysis of the MIMIC-IV database.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Stress hyperglycemia ratio in coronary artery disease: a systematic review and meta-analysis of severity and prognosis.Cardiovascular diabetology · 2026Pooled it
- Predictive performance of stress hyperglycemia ratio for poor prognosis in critically ill patients: a systematic review and dose-response meta-analysis.European journal of medical research · 2025Pooled it
- Association between the preoperative stress hyperglycemia ratio and postoperative delirium in older adults undergoing non-cardiac surgery: a retrospective cohort study.European geriatric medicine · 2026Article
- Association Between Stress Hyperglycemia Ratio and Death in Patients With Moderate to Severe Tricuspid Regurgitation.Journal of the American Heart Association · 2026Observational
- Stress hyperglycemia ratio improves 28-day mortality prediction beyond GRACE score in critically ill patients with acute coronary syndrome: a retrospective cohort study from MIMIC-IV.BMC cardiovascular disorders · 2026Article
- Research Topics and Trends in MIMIC-IV: A Large ICU Database Relevant for Critical Care Nursing.Nursing in critical care · 2026Review
- Association between the glucose-to-platelet ratio and short-term and long-term all-cause mortality in critically ill patients with pneumonia: a retrospective cohort study.Journal of thoracic disease · 2026Article
- Stress hyperglycemia ratio and mortality risk in cardiometabolic multimorbidity: a multicenter retrospective study.BMC cardiovascular disorders · 2026Article
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- Head-to-head comparison of stress hyperglycemia ratio versus triglyceride-glucose index for predicting mortality in heart failure: a retrospective cohort study.Frontiers in endocrinology · 2026Article
- Dysglycaemia and the interaction of chronic and acute glycaemia with mortality post cardiac surgery.Scientific reports · 2025Article
- Association between stress hyperglycemia ratio and all-cause mortality in patients with chronic obstructive pulmonary disease.Scientific reports · 2025Article
- Combined SHR and SIRI biomarkers predict increased coronary heart disease risk in type 2 diabetes.Biomolecules & biomedicine · 2025Article
- Weekend Effect and Predictors of Mortality for Patients Presenting to Emergency Department with COVID-19 Infection.Journal of personalized medicine · 2025Article
- Stress hyperglycemia ratio and incident hypertension in chinese middle-aged and older adults: mediating roles of lipids in a prospective cohort.Lipids in health and disease · 2025Article
- Review
- 28-day all-cause mortality in patients with alcoholic cirrhosis: a machine learning prediction model based on the MIMIC-IV.Clinical and experimental medicine · 2025Article
- Association between stress hyperglycemia ratio and neovascular glaucoma in patients with proliferative diabetic retinopathy.BMC ophthalmology · 2025Article
- The prognostic significance of stress hyperglycemia ratio in evaluating all-cause and cardiovascular mortality risk among individuals across stages 0-3 of cardiovascular-kidney-metabolic syndrome: evidence from two cohort studies.Cardiovascular diabetology · 2025Article
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5 authors.
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Abstract
Background The stress hyperglycemia ratio (SHR) indicates relative hyperglycemia levels. Research on the impact of SHR on mortality in coronary heart disease (CHD) patients in intensive care is limited. This study explores the predictive accuracy of SHR for the prognosis of CHD patients in the ICU. Methods This study included 2,059 CHD patients from the American Medical Information Mart for Intensive Care (MIMIC-IV) database. SHR was determined using the formula: SHR = (admission glucose) (mmol/L) / (1.59 * HbA1c [%] - 2.59). Subjects were stratified into quartiles based on SHR levels to examine the correlation between SHR and in-hospital mortality. The restricted cubic splines and Cox proportional hazards models were employed to assess this association, while Kaplan-Meier survival analysis was executed to ascertain the mortality rates across the SHR quartiles. Results Among the 2059 participants (1358 men), the rates of in-hospital and ICU mortality were 8.5% and 5.25%, respectively. Analysis showed SHR as a significant predictor of increased risk for both in-hospital (HR,1.16, 95% CI: 1.02-1.32, P = 0.022) and ICU mortality (HR, 1.16, 95% CI: 1.01-1.35, P = 0.040) after adjustments. A J-shaped relationship was noted between SHR and mortality risks (p for non-linearity = 0.002, respectively). Kaplan-Meier analysis confirmed substantial differences in in-hospital and ICU mortality across SHR quartiles. Conclusions SHR significantly predicts in-hospital and ICU mortality in critically ill CHD patients, indicating that higher SHR levels correlate with longer ICU stays and increased mortality. This underscores the potential of SHR as a prognostic marker for ICU CHD patients.
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