Correlation and Risk Assessment of Inflammation-Based Parameters on Cardiovascular Parameters and Clinical Events in Giant Cell Arteritis: A Retrospective Study

This study investigated associations of inflammation-based biomarkers with endothelial dysfunction and lipids and their predictive value for clinical outcome parameters in patients with giant cell arteritis (GCA). A total of 138 patients with inactive GCA were retrospectively analyzed to investigate potential differences in inflammatory biomarkers regarding clinical GCA subtypes and potential correlations between inflammatory parameters with markers of endothelial dysfunction and lipid parameters. Additionally, the predictive role of inflammatory biomarkers for clinical outcomes, including disease relapse, all-cause mortality, cardiovascular events, and glucocorticoid adverse effects, was analyzed. GCA individuals without concomitant symptoms of polymyalgia rheumatica and those who received initial glucocorticoid pulse therapy exhibited significantly higher levels of white blood cells and neutrophils (all with p < 0.05). No other significant differences were observed between inflammatory biomarkers and clinical GCA subtypes. Additionally, significant correlations were identified between selected inflammation-based ratios and specific markers of endothelial dysfunction and lipid parameters (all with p < 0.05). Elevated white blood cells and neutrophils were significant and independent predictors of disease relapse in GCA (all with p < 0.05) in multiple logistic regression analysis. No significant associations were found between any other inflammatory biomarker and the occurrence of cardiovascular events, mortality, or glucocorticoid-related adverse effects. In patients with inactive GCA, selected inflammatory parameters correlated with endothelial dysfunction and dyslipidemia and may be predictive of disease relapse.