• 1. Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P. R. China;
  • 2. Graduate School, Beijing University of Chinese Medicine, Beijing 100029, P. R. China;
  • 3. Department of Nephrology and Endocrinology, Yuquan Hospital, Tsinghua University, Beijing 100040, P. R. China;
  • 4. Department of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Dongcheng District, Beijing, 100700, P. R. China;
LI Jun, Email: gamyylj@163.com
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Objective To investigate the association between the stress-induced hyperglycemia ratio (SHR) and all-cause, cardiovascular, and diabetes-related mortality in patients with advanced cardiovascular-kidney-metabolic (CKM) syndrome, and to evaluate the value of SHR as an independent prognostic marker. Methods This retrospective cohort study used data from the 1999–2018 U.S. National Health and Nutrition Examination Survey (NHANES). A total of 2 135 patients with advanced CKM (stages 3 and 4) were included. Kaplan-Meier analysis and multivariable Cox regression models were applied to assess the relationship between SHR and mortality outcomes. Restricted cubic spline (RCS) analysis was employed to explore potential non-linear associations. Subgroup analyses were conducted to identify possible effect modifiers. Results Over a mean follow-up of 248 months, 674 all-cause, 198 cardiovascular, and 31 diabetes-related deaths occurred. Elevated SHR was significantly associated with diabetes-related mortality (HR=3.48, P<0.001) in a dose-response manner. SHR exhibited a U-shaped relationship with both all-cause and cardiovascular mortality (non-linearity P<0.001), indicating increased risk at both low and high SHR levels. Subgroup analyses revealed that sex, BMI, and hyperlipidemia significantly modified the association between SHR and diabetes-related death. Conclusion SHR is an independent predictor of mortality risk in patients with advanced CKM syndrome, particularly for diabetes-related death. These findings support the integration of SHR into risk stratification of high-risk CKM populations and provide a basis for metabolic stress-targeted interventions.

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