Cystatin C provides more information than other renal function parameters for stratifying risk in patients with acute

José M García Acuña1, Eva González-Babarro, Lilian Grigorian Shamagian

  • 1Servicio de Cardiología y Unidad Coronaria, Departamento de Medicina, Hospital Clínico Universitario de Santiago, Santiago de Compostela, A Coruña, Spain. jose.maria.garcia.acuna@sergas.es

Insights

Elevated cystatin C levels in acute coronary syndrome (ACS) patients indicate a higher risk of heart failure and mortality. This biomarker aids in risk stratification, especially for those with normal kidney function.

Area of Science:

  • Cardiology
  • Nephrology
  • Biomarkers

Background:

  • Cystatin C, a protein with stable plasma concentration cleared by kidneys, is a potential prognostic marker.
  • Acute coronary syndrome (ACS) requires accurate risk stratification for optimal patient management.

Purpose of the Study:

  • To evaluate the prognostic value of serum cystatin C levels in patients diagnosed with ACS.
  • To determine if cystatin C can predict adverse outcomes in ACS patients.

Main Methods:

  • Prospective study of 203 hospitalized ACS patients.
  • Clinical data, hemogram, creatinine, cystatin C, lipids, and cardiac markers were collected within 24 hours.
  • Glomerular filtration rate (GFR) estimated using MDRD equation; patients grouped by cystatin C >0.95 mg/L.

Main Results:

  • Patients with cystatin C >0.95 mg/L showed significantly higher rates of heart failure (51.3% vs 13.3%) and in-hospital mortality (17.6% vs 3.3%).
  • Cystatin C was identified as a powerful independent predictor of cardiovascular events (RR=1.91).
  • Even with normal GFR (>60 mL/1.73 m²), elevated cystatin C correlated with increased in-hospital mortality (10.2% vs 3.9%).

Conclusions:

  • Serum cystatin C measurement is clinically valuable for risk stratification in high-risk ACS patients.
  • Cystatin C provides prognostic information particularly useful in ACS patients with normal GFR.
  • This biomarker can enhance early identification of patients at risk for adverse cardiovascular outcomes.
Abstract

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