Correlation and Risk Assessment of Inflammation-Based Parameters on Cardiovascular Parameters and Clinical Events in...

Area of Science:

• Rheumatology
• Immunology
• Cardiovascular Medicine

Background:

• Giant cell arteritis (GCA) is a systemic vasculitis affecting large arteries.
• Endothelial dysfunction and lipid abnormalities are common in GCA.
• Inflammation-based biomarkers may offer insights into GCA pathogenesis and prognosis.

Purpose of the Study:

• To investigate associations between inflammation biomarkers, endothelial dysfunction, and lipids in GCA.
• To determine the predictive value of these biomarkers for clinical outcomes in GCA patients.

Main Methods:

• Retrospective analysis of 138 patients with inactive GCA.
• Assessment of inflammatory biomarkers, endothelial dysfunction markers, and lipid parameters.
• Logistic regression analysis to evaluate predictive value for clinical outcomes.

Main Results:

• Higher white blood cell and neutrophil counts were observed in GCA patients without polymyalgia rheumatica symptoms or those receiving initial glucocorticoid pulse therapy.
• Significant correlations were found between inflammation-based ratios, endothelial dysfunction markers, and lipid parameters.
• Elevated white blood cells and neutrophils independently predicted disease relapse in GCA patients.

Conclusions:

• Selected inflammatory parameters correlate with endothelial dysfunction and dyslipidemia in inactive GCA.
• White blood cells and neutrophils are significant predictors of disease relapse in GCA.
• No significant associations were found between inflammatory biomarkers and cardiovascular events, mortality, or glucocorticoid adverse effects.