فهرست نشریات علمی دسترسی آزاد ایران

   Background and Objectives: Atherosclerosis is a complex disease with systemic inflammation, lipid dysregulation and end-organ dysfunction. This study examines the clinical, hematological, biochemical and lifestyle factors associated with disease severity through inflammatory markers, biochemical indicators and cardiovascular risk prediction models.   Methods: The study is a retrospective observational cohort study which evaluated 433 patients (234 of whom were mild/moderate atherosclerosis and 190 with severe disease). Clinical parameters, inflammatory markers and biochemical indicators were measured and the diagnostic value of these markers was evaluated by Multiple Logistic Regression (MLR) and Receiver Operating Characteristic (ROC) analysis.   Results: Severe atherosclerosis patients had a higher BMI, inflammatory markers (CRP, IL-6, TNF-) and dyslipidemia (higher TG, TC, LDL and lower HDL). Onset renal (BUN, creatinine) and liver (ALT, AST) markers were high for severe cases. IL-1, IL-6, Lp-PLA2, CRP and ratio of inflammation (NLR, PLR) were strongly correlated with higher China-PAR and Gensini risk scores. Non-significant factors were smoking, diabetes, and hypertension, after accounting for confounders. IL-6 (AUC = 0.88) and CRP, Lp-PLA2, Hypertension (AUC = 0.86) were the best performing markers. Inflammatory ratios such as NLR (AUC = 0.80) were also very good predictors, whereas markers such as NLPR (AUC = 0.48) and lifestyle factors such as smoking (AUC = 0.47) were not.   Conclusion: Inflammatory markers CRP, IL-1β, IL-6 and Lp-PLA2, demonstrate robust diagnostic and prognostic utility in atherosclerosis severity. Systemic inflammatory metrics provide valuable insights into disease progression and risk stratification. These findings support the integration of biomarkers in personalized atherosclerosis management strategies.