Elevated serum cystatin C is an independent predictor of cardiovascular events in people with relatively normal renal

Lei Meng1, Ying Yang, Li-Tong Qi

  • 1Department of Cardiology, Peking University First Hospital, Beijing, PR China.

Journal of Nephrology
|September 20, 2011
PubMed

Insights

Serum cystatin C levels predict cardiovascular events in individuals with normal kidney function. Higher cystatin C indicates increased cardiovascular risk, even without significant kidney impairment.

Area of Science:

  • Cardiology
  • Nephrology
  • Biomarkers

Background:

  • Serum cystatin C predicts cardiovascular disease (CVD) morbidity and mortality in coronary heart disease patients.
  • Limited data exists on cystatin C's predictive value for cardiovascular events in individuals with normal renal function, particularly in Asian populations.

Purpose of the Study:

  • To investigate the relationship between serum cystatin C levels and cardiovascular events.
  • To assess cystatin C as a predictor of cardiovascular events in a community-based Asian population with normal renal function.

Main Methods:

  • Study included 724 residents in Beijing with estimated glomerular filtration rate (eGFR) ≥60 ml/min per 1.73 m2.
  • Analysis of risk factors for cardiovascular events, including serum cystatin C, age, sex, diabetes, smoking, HDL-C, and eGFR.

Main Results:

  • Individuals with cardiovascular events were older, more likely male, had higher rates of diabetes and smoking, and lower HDL-C and eGFR.
  • Serum cystatin C levels were significantly higher in subjects who experienced cardiovascular events (p<0.01).
  • Multivariable analysis identified age, hypertension, and serum cystatin C (>0.88 mg/L) as independent predictors of cardiovascular events.

Conclusions:

  • Elevated serum cystatin C is an independent risk factor for cardiovascular events.
  • This association holds true even in individuals with relatively normal renal function.
  • Cystatin C may serve as a valuable biomarker for cardiovascular risk stratification beyond traditional factors.
Abstract

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