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October 3, 2025Diabetes & Metabolism Journal4 citationsOpen Access

Association of Remnant Cholesterol Inflammation Index with Cardiovascular Risks and All-Cause Mortality in Individuals with Diabetes or Prediabetes

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QMQilin MaLDLina DuJPJia Peng

Key Points

  • Higher remnant cholesterol inflammation index quartiles significantly associate with increased all-cause mortality in individuals with diabetes.
  • Analysis revealed an odds ratio of 2.32 for cardiovascular disease risks when comparing the highest to the lowest quartile of the remnant cholesterol inflammation index.
  • Subgroup analyses indicated sex-specific interactions with cardiovascular disease risks while maintaining consistent mortality associations across groups.
  • Findings highlight the combined prognostic impact of remnant cholesterol and inflammation on severe outcomes in those with prediabetes or diabetes.

Abstract

BackgroundRemnant cholesterol (RC) and low-grade inflammation are established contributors to cardiovascular disease (CVD) risks in diabetes. However, their combined prognostic impact remains unclear in dysglycemia. We evaluated the remnant cholesterol inflammation index (RCII), integrating RC and high-sensitivity C-reactive protein (hsCRP), for predicting mortality and CVD risks in diabetes/prediabetes. MethodsThis study included 2206 United States adults with diabetes/prediabetes from National Health and Nutrition Examination Survey 2015–2018. RCII was calculated as RC (mg/dL)×hsCRP (mg/L)/10. All-cause mortality was tracked via National Death Index until 2019; CVD risk was assessed cross-sectionally. Cox proportional hazard regression determined the hazard ratio (HR) and 95% confidence intervals (CIs) of RCII for all-cause mortality. Logistic regression models estimated the odds ratio (OR) and 95% CIs of RCII for CVD risks. ResultsFor CVD risks, Q4 vs. Q1 demonstrated increased odds (OR, 2.32; 95% CI, 1.23 to 4.37), though per-standard deviation (SD) increments were non-significant (OR, 1.15; 95% CI, 0.98 to 1.35; P=0.083). During a median of 38 months follow-up, higher RCII quartiles showed graded associations with all-cause mortality (Q4 vs. Q1: HR, 2.45; 95% CI, 1.08 to 5.58; per 1-SD increase: HR, 1.21; 95% CI, 1.08 to 1.35). Restricted cubic splines confirmed dose-dependent relationships for CVD risks and all-cause mortality (all P=0.005 for overall). Subgroup analyses revealed consistent mortality associations but sex-specific CVD interactions (P=0.047 for interaction). ConclusionOur study found the RCII as a biomarker for predicting all-cause mortality and CVD risks in individuals with prediabetes or diabetes, highlighting the synergistic effects of RC and low-grade inflammation on adverse outcomes in this population and may facilitate early identification of individuals at heightened risk for CVD.

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Cite This Study

Ma et al. (2025) studied this question.

synapsesocial.com/papers/68e034fdf0e39f13e7fa3412https://doi.org/10.4093/dmj.2025.0305
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