ArticleFrontiers in cardiovascular medicine2024
The association between stress hyperglycemia ratio with mortality in critically ill patients with acute heart failure.
Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled 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 blood urea nitrogen to albumin ratio and 28-day mortality of acute heart failure in intensive care unit: analysis based on MIMIC-IV database.BMC cardiovascular disorders · 2026Article
- Stress hyperglycemia ratio and mortality in critically ill patients with heart failure: a retrospective cohort study from the MIMIC-IV database.BMC cardiovascular disorders · 2025Article
- Elevated stress hyperglycemia ratio associated with higher hospital mortality in patients with respiratory failure.Scientific reports · 2025Article
- Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery.Cardiovascular diabetology · 2025Article
- Correlation between stress hyperglycemia ratio and prognosis in acute myocardial infarction patients following percutaneous coronary intervention.Frontiers in cardiovascular medicine · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
Background: It's recognized that stress hyperglycemia ratio (SHR) is considered a significant indicator of poor prognosis in many diseases. However, its role in critically ill patients with acute heart failure (acute HF) remains underexplored. Methods: We conducted a retrospective cohort study on patients with acute HF included in the Medical Information Mart for Intensive Care IV (MIMIC-IV) version 2.2 database. A restricted cubic spline (RCS) regression analysis was used to explore the relationship between SHR and the risk of all-cause mortality in these patients. Subsequently, a Cox regression model was used to evaluate the relationship between SHR and mortality in acute HF patients. Results: A total of 1,644 acute HF patients were included in the study and divided into two groups: the low SHR group (SHR < 1.06, Conclusion: Our findings indicate that high SHR is an independent predictor of poor short- and long-term prognosis in acute HF patients. Understanding the impact of SHR on mortality in acute HF is crucial as it can assist clinicians in identifying high-risk patients and adjusting treatment strategies accordingly.
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