ArticleBMC nephrology2024
Predictive value of stress hyperglycemia ratio on one-year mortality in chronic kidney disease patients admitted to intensive care unit.
Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines 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
- Relationship between stress hyperglycaemic ratio (SHR) and critical illness: a systematic review.Cardiovascular diabetology · 2025Pooled it
- Joint effects of triglyceride-glucose-BMI and stress hyperglycemia ratio on all-cause mortality in trauma surgical intensive care patients: a multicenter cohort study.Lipids in health and disease · 2026Article
- Article
- Stress hyperglycemia ratio: a novel prognostic marker in chronic kidney disease.Diabetology & metabolic syndrome · 2025Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundStress Hyperglycemia Ratio (SHR) reflects the acute blood glucose variation in critically ill conditions. However, its prognostic value in chronic kidney disease (CKD) remains understudied. This study aimed to investigate the association between SHR and one-year mortality in CKD patients hospitalized in the Intensive Care Unit (ICU).
methodsPatients with diagnosis of CKD in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were enrolled. Incidence of all-cause mortality within one-year follow-up was used as the primary endpoint.
results1825 CKD patients were included in the study. A "U-shaped" relationship between SHR and one-year mortality as identified using multivariate restricted cubic spline (RCS) analysis. Then study population were categorized into three groups: Group 1 (SHR < 0.70), Group 2 (0.70 ≤ SHR ≤ 0.95) and Group 3 (SHR > 0.95). Group 2 showed significantly better one-year outcomes compared to the other two groups (p = 0.0031). This survival benefit persisted across subgroup analyses stratified by age, sex, CKD stage, anemia and various clinical conditions.
conclusionSHR proved to be a meaningful biomarker for predicting one-year mortality in ICU-admitted CKD patients, with a "U-shaped" correlation. The identification of the optimal SHR range (0.70-0.95) provided clinicians with a valuable tool for detecting high-risk populations.
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