ArticleInternational journal of endocrinology2026
Stress Hyperglycemia Ratio as a Predictor of All-Cause and Cardiovascular Mortality in the General Population: Insights From NHANES 2001-2018.
Article in International journal of endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
1 citing paper in PubMed.
- Stress Hyperglycemia Ratio as a Predictor of All-Cause and Cardiovascular Mortality in the General Population: Insights From NHANES 2001-2018.International journal of endocrinology · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Stress hyperglycemia ratio (SHR) is closely related to adverse clinical outcomes. However, the link between general population all-cause mortality (ACM) and cardiovascular mortality (CVM) remains undetermined. Thus, this research was designed to investigate the associations between SHR and ACM and CVM. Methods: The research data are sourced from NHANES. The correlations between SHR and death were examined via multivariate Cox proportional hazards models. These models were adjusted for clinical, socioeconomic, and demographic characteristics. Potential nonlinear relationships were estimated via restricted cubic spline (RCS) analysis. Predictive accuracy was measured by time-dependent ROC curves, and mortality risk across SHR quartiles was examined by Kaplan-Meier survival curves. Age, sex, race, BMI, level of education, smoke, and poverty-income ratio were used as subgroups to investigate potential moderators of the effect. Results: About 1847 people died from any cause and 589 from cardiovascular disease throughout the median follow-up period of 97 months. SHR was negatively associated with ACM (HR: 0.77, 95% CI: 0.68-0.88) and CVM (HR: 0.73, 95% CI: 0.60-0.90) when SHR was below the threshold values (SHR < 0.81 in ACM and SHR< 0.84 in CVM), whereas it was positively associated with ACM (HR: 1.10, 95%CI: 1.05-1.15) and CVM (HR: 1.08, 95%CI: 1.00-1.16) when it was above the threshold values. The ROC curve revealed that the SHR may serve as a predictor of ACM and CVM. Conclusions: SHR exhibits a nonlinear, threshold-dependent association with ACM and CVM, and it may serve as a predictor of ACM and CVM.
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