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Published on: June 28, 2019

C-reactive protein predicts functional status and correlates with left ventricular ejection fraction in patients with

Ramón Arroyo-Espliguero1, Pablo Avanzas, Juan Quiles

  • 1Division of Cardiology, Hospital General Universitario, Guadalajara, Spain.

Atherosclerosis
|March 3, 2009
PubMed

Insights

High-sensitivity C-reactive protein (hs-CRP) inversely correlates with left ventricular ejection fraction (LVEF) and predicts congestive heart failure (CHF) symptoms in patients with chronic stable angina (CSA). This finding highlights hs-CRP

Area of Science:

  • Cardiology
  • Biomarkers
  • Inflammation

Background:

  • C-reactive protein (CRP) is recognized as a cardiovascular risk marker.
  • CRP may also play a role in the pathogenesis of atherosclerosis and myocardial injury.
  • Understanding CRP's role in heart failure is crucial for patient management.

Purpose of the Study:

  • To investigate the relationship between CRP, left ventricular ejection fraction (LVEF), and congestive heart failure (CHF) symptoms.
  • To assess CRP as a predictor of heart failure severity in patients with chronic stable angina (CSA).

Main Methods:

  • 841 patients with CSA undergoing coronary angiography were studied.
  • Symptoms of CHF were assessed using the New York Heart Association (NYHA) functional classification.
  • High-sensitivity CRP (hs-CRP) levels were measured using a high-sensitivity immunoassay.

Main Results:

  • Serum hs-CRP levels showed a significant inverse correlation with LVEF (r=-0.11; P=0.004).
  • Moderate-to-severe CHF prevalence correlated significantly with hs-CRP quartiles (P(trend)<0.0001).
  • Hs-CRP was an independent predictor of NYHA functional classes III-IV (OR 2.2 [1.3-3.6]; P=0.002), alongside age, female gender, and BMI.

Conclusions:

  • Hs-CRP serum concentrations are inversely correlated with LVEF in CSA patients.
  • Hs-CRP is an independent predictor of NYHA functional class, indicating heart failure severity.
  • Hs-CRP may serve as a valuable biomarker for assessing CHF risk and severity in CSA.
Abstract

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