ArticleFrontiers in endocrinology2025
Association between stress hyperglycemia ratio and acute kidney injury development in patients with sepsis: a retrospective study.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between stress hyperglycemia ratio and all-cause mortality among ICU patients with sepsis: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Early identification of acute kidney injury progression in critically ill patients with sepsis: interpretable machine learning approach.Clinical kidney journal · 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
- 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
- From glycemic variability to digital signal biomarker: a prognostic and precision medicine framework for sepsis-associated acute kidney injury.Renal failure · 2025Article
- Assessment of stress hyperglycemia ratio as a prognostic indicator in geriatric intensive care patients experiencing delirium: a retrospective cohort analysis.European journal of medical research · 2025Article
- Correlation between stress hyperglycemic ratio and all-cause mortality in diabetic patients with heart failure.BMC endocrine disorders · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Stress hyperglycemia ratio (SHR), which adjusts blood glucose levels using glycated hemoglobin to eliminate the influence of chronic hyperglycemia, has been demonstrated to have superior predictive value than absolute hyperglycemia. However, its predictive value for sepsis-associated acute kidney injury (SA-AKI) remains unclear. This study aimed to investigate the relationship between the SHR and the risk of developing SA-AKI. Methods: Data were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Restricted cubic splines (RCS) were employed to depict the relationship between SHR and the likelihood of SA-AKI, determining an optimal cut-off value. Based on this threshold, patients were categorized into two groups. Logistic regression was utilized to evaluate SHR's predictive value for SA-AKI, with adjustments for confounding variables. Propensity score matching (PSM) was applied to balance baseline characteristics. Subgroup and sensitivity analyses were conducted. Results: A total of 2,249 patients were included. The RCS curve indicated a non-linear positive association between SHR and the likelihood of SA-AKI ( Conclusion: The findings indicate a non-linear positive relationship between SHR and the likelihood of SA-AKI in patients with sepsis, suggesting that SHR could be a potential predictor for SA-AKI.
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Registered trials
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