Abstract
This study aimed to evaluate the pre-test probability scoring system and its correlation with coronary artery lesions and clinical, paraclinical, and risk factors in 105 patients with chronic coronary syndrome (59.0% male, mean age 65.12 ± 11.83 years). The prevalence of risk factors included smoking (47.6%), hypertension (51.4%), diabetes mellitus (21.8%), dyslipidemia (40.0%), and family history (64.8%). The most common symptoms were typical angina (45.7%) and dyspnea (46.7%). The mean RF-CL score was 18.07 ± 13.91. Independent predictors of significant coronary artery stenosis included dyslipidemia (OR: 2.424; p = 0.024), hypertension (OR: 5.148; p = 0.001), Q waves on ECG (OR: 3.334; p = 0.006), and pre-test probability score (OR: 1.042; p = 0.040). The logistic regression model predicting coronary stenosis was:
Ln(Odds) = 0.885 × dyslipidemia + 1.639 × hypertension + 1.204 × Q waves + 0.133 × pre-test score + 0.282. Conclusion: The 2024 ESC RF-CL pre-test probability score is a simple, practical tool with clinical value in predicting coronary artery lesions.