ArticleCardiovascular diabetology2025
Assessment of stress hyperglycemia ratio to predict all-cause mortality in patients with critical cerebrovascular disease: a retrospective cohort study from the MIMIC-IV database.
Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between stress hyperglycemia and pneumonia in patients with stroke: a systematic review and meta-analysis.BMC pulmonary medicine · 2025Pooled it
- Nonlinear relationship between stress hyperglycemic ratio and prognosis in patients with cardiac surgery-related kidney injury: a retrospective cohort study.Renal failure · 2026Article
- Network Analysis-Driven Machine Learning Model for Identifying High-Cost Stroke Inpatients Using Hospital Discharge Data: Retrospective Study.JMIR medical informatics · 2026Article
- 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
- Integrated Assessment of Stress Hyperglycemia and Glycemic Variability for Mortality Prediction in Non-St-Segment Elevation Myocardial Infarction and St-Segment Elevation Myocardial Infarction: A Glycometabolic Phenotype-Stratified Analysis.Reviews in cardiovascular medicine · 2026Article
- Nonlinear association between the stress hyperglycemia ratio and 180-day mortality in critically ill patients undergoing extracorporeal circulation during open heart surgery: a MIMIC-IV cohort study.Journal of cardiothoracic surgery · 2026Article
- Hemoglobin glycation index may contextualize the association between time-varying stress hyperglycemia ratio and mortality in critically ill patients with heart failure: a multicenter retrospective cohort study.Cardiovascular diabetology · 2026Article
- Combined assessment of triglyceride-glucose index and stress hyperglycemia ratio to predict all-cause mortality in critically ill patients with intracerebral hemorrhage.BMC neurology · 2026Article
- Cumulative stress hyperglycemia ratio exposure and dynamic trajectories reveal prognostic determinants of acute hyperlipidemic pancreatitis: an 5-year cohort study.Lipids in health and disease · 2026Article
- Research Topics and Trends in MIMIC-IV: A Large ICU Database Relevant for Critical Care Nursing.Nursing in critical care · 2026Review
- The stress hyperglycemia ratio as a novel risk marker for postoperative delirium after cardiac valve surgery.Scientific reports · 2026Article
- Association between stress hyperglycemia ratio and ICU delirium among critically ill adults in MIMIC-IV.Scientific reports · 2026Article
- Association between stress hyperglycemia ratio and early neurological deterioration after acute ischemic stroke: a retrospective cohort study.BMC neurology · 2026Article
- Article
- Triglyceride-glucose index at ICU admission predicts hospital mortality in patients with acute coronary syndrome concomitant sepsis: a Bayesian network analysis of retrospective multicenter cohort study.Frontiers in nutrition · 2026Article
- Simultaneous assessment of stress hyperglycemia ratio and glucose variability to predict all-cause mortality in sepsis patients across different glucose metabolic states: an observational cohort study with interpretable machine learning approach.International journal of surgery (London, England) · 2026Observational
- Association between stress hyperglycemic ratio and stroke in older people with metabolic syndrome: a prospective cohort study from UK Biobank.Frontiers in endocrinology · 2026Article
- Stress hyperglycemia ratio and long-term prognosis in patients with acute myocardial infarction undergoing percutaneous coronary intervention: evidence for an J-shaped association.Journal of geriatric cardiology : JGC · 2025Article
- Association between stress hyperglycemia ratio and delirium risk in elderly surgical patients: a retrospective cohort study.BMC geriatrics · 2025Article
- Joint impact of stress hyperglycaemic ratio and glycaemic variability in patients with ischaemic stroke and machine learning for mortality prediction.BMC neurology · 2025Article
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7 authors.
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Abstract
backgroundThe association between the stress hyperglycemia ratio (SHR), which represents the degree of acute stress hyperglycemic status, and the risk of mortality in cerebrovascular disease patients in the intensive care unit (ICU) remains unclear. This study aims to investigate the predictive ability of SHR for in-hospital mortality in critically ill cerebrovascular disease patients and to assess its potential to enhance existing predictive models.
methodsWe extracted data from the Medical Information Mart for Intensive Care (MIMIC-IV) database for patients diagnosed with cerebrovascular disease and used Cox regression to assess the association between SHR and mortality. To investigate the nature of this association, we applied restricted cubic spline analysis to determine if it is linear. The predictive ability of SHR for mortality risk was evaluated using receiver operating characteristic (ROC) curves and the C-index.
resultsWe included a total of 2,461 patients, with a mean age of 70.55 ± 14.59 years, and 1,221 (49.61%) being female. Cox regression analysis revealed that SHR was independently associated with both in-hospital mortality (per standard deviation (SD) increase: hazard ratio (HR) 1.35, 95% confidence interval (CI) 1.23-1.48) and ICU mortality (per SD increase: HR 1.37, 95% CI 1.21-1.54). The risk of death increased in an approximately linear fashion when SHR exceeded 0.77-0.79. Subgroup analysis indicated the association was more pronounced in non-diabetic individuals. Additionally, incorporating SHR into existing models improved both discrimination and reclassification performance.
conclusionSHR serves as an independent risk factor for in-hospital mortality in cerebrovascular disease patients in the ICU. Adding SHR to existing models enhances their predictive performance, offering clinical value in the identification of high-risk patients.
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