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. 2025 Aug 18;24(1):336.
doi: 10.1186/s12933-025-02898-z.

Predictive value and robustness of the stress hyperglycemia ratio combined with hypertension for stroke risk: evidence from the CHARLS cohort

Affiliations

Predictive value and robustness of the stress hyperglycemia ratio combined with hypertension for stroke risk: evidence from the CHARLS cohort

Yaxuan He et al. Cardiovasc Diabetol. .

Abstract

Background: Stroke remains a major cause of death and long-term disability worldwide, particularly in low- and middle-income countries. Early identification of individuals at high risk is essential for prevention. The stress hyperglycemia ratio (SHR), a novel indicator integrating acute and chronic glycemic states, has shown prognostic value in acute illness. However, its association with stroke risk in community populations and its potential interaction with hypertension remain unclear.

Methods: This retrospective cohort study included 9682 stroke-free participants aged ≥ 45 years from the 2011 baseline of the China Health and Retirement Longitudinal Study (CHARLS), followed through 2020. SHR was calculated using fasting blood glucose and glycated hemoglobin. Participants were categorized by median SHR and hypertension status into four groups. Cox proportional hazards models were used to assess associations with incident stroke over a median follow-up of 8.43 years. Subgroup, stratified, and sensitivity analyses were performed. Predictive performance was evaluated using receiver operating characteristic (ROC) curve analysis.

Results: During 81,601 person-years of follow-up, 764 incident stroke cases were documented, with an overall incidence of 9.36 per 1000 person-years. Compared to the reference group (low SHR without hypertension), those with high SHR and hypertension had the highest stroke risk (hazard ratio: 2.94, 95% confidence interval: 2.38-3.64). SHR and hypertension were independently associated with stroke risk, and their combination demonstrated a dose-response relationship. Subgroup analyses confirmed consistent findings across sex and age strata. The combined SHR-hypertension model showed improved discriminative ability (area under the ROC curve: 0.653). Sensitivity analyses confirmed the robustness of the results.

Conclusions: Elevated SHR is independently associated with an increased risk of stroke, and its predictive value is enhanced when combined with hypertension. SHR may serve as an integrated metabolic marker reflecting both acute stress and chronic risk burden. Incorporating SHR into stroke risk assessment tools may improve early identification and enable more targeted prevention strategies, particularly in hypertensive populations.

Keywords: CHARLS; Cohort study; Hypertension; Metabolic stress; Risk prediction; Stress hyperglycemia ratio; Stroke.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: The CHARLS study adheres to the principles of the Declaration of Helsinki and was approved by the Institutional Review Board of Peking University (IRB00001052-11015). All participants provided written informed consent prior to participation. This study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines for observational research. Consent for publication: All authors have read and approved the manuscript for submission to this journal. No part of this work has been published or is under consideration elsewhere. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flowchart of participant selection in the CHARLS cohort study
Fig. 2
Fig. 2
Cumulative incidence curves and stratified stroke incidence rates based on SHR and hypertension status. Panels AC show Kaplan–Meier curves of cumulative stroke incidence stratified by A hypertension status, B SHR group (using median cutoff), and C combined SHR-hypertension subgroups. Panels DF display the stratified stroke incidence rates per 1000 person-years by SHR quartiles within subgroups of D age (45–59 vs. ≥ 60 years), E hypertension status, and F sex. SHR, stress hyperglycemia ratio
Fig. 3
Fig. 3
Receiver operating characteristic (ROC) curves for stroke prediction models based on SHR, hypertension, and their combination

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