The importance of characteristics of angina symptoms for the prediction of coronary artery disease in a cohort of stable patients in the modern era.

OBJECTIVE: Angina is an important clinical symptom indicating underlying coronary artery disease (CAD). Its characteristics are important for the diagnosis and risk stratification of patients with CAD. Currently, we aimed to investigate the association of chest pain characteristics with the presence of obstructive CAD in a contemporary cohort of patients undergoing coronary angiography for suspected stable CAD. METHODS: Consecutive patients undergoing coronary angiography for suspected stable CAD (n = 686) in a single university hospital cardiology department were enrolled. Chest pain was classified as typical angina, atypical angina, nonangina chest pain, and lack of symptoms. The presence of significant angiographic CAD was diagnosed by standard coronary angiography. RESULTS: Typical angina symptoms were associated with a higher prevalence of CAD (odds ratio [OR], 3.47, p < 0.001), whereas atypical angina symptoms were associated with a lower prevalence of CAD (OR, 0.49, p = 0.003) than the nonangina symptoms/or asymptomatic status. In multivariate analysis, typical angina symptoms remained an independent predictor of CAD (OR, 2.54, p < 0.001), with a greater predictive accuracy than other clinical risk factors (area under the curve [AUC], 0.715, p < 0.001) and similar to the accuracy of the high-sensitivity C-reactive protein (AUC, 0.712, p < 0.001). In a multivariate model, the combination of all studied factors further improved the predictive accuracy (AUC, 0.81, p < 0.001). CONCLUSION: In a contemporary cohort of patients referred for coronary angiography for stable CAD, the presence of typical angina symptoms was the most important independent predictor of obstructive CAD. The association of atypical angina symptoms with low CAD prevalence compared to nonangina chest pain or absence of significant symptoms probably reflects different management and referral strategies in these groups of patients.

Extent of coronary artery disease in patients undergoing angiography for stable or acute coronary syndromes.

BACKGROUND: We aimed to investigate whether the angiographic extent of coronary artery disease (CAD) differs in patients undergoing coronary angiography for stable CAD or acute coronary syndrome (ACS) and identify predictors of CAD extent in these patients. METHODS: We enrolled 584 consecutive patients (463 with stable CAD, 121 with ACS) with angiographically established CAD (≥1 stenosis >25%). The Gensini score was used to assess the extent of coronary atherosclerosis. RESULTS: Stable CAD patients had greater Framingham risk score and greater prevalence of hypertension, hypercholesterolemia, and diabetes (p<0.05 for all). Fasting glucose and systolic and diastolic blood pressure were higher, while high-sensitivity C-reactive protein (hsCRP) levels were lower in patients with stable CAD than in those with ACS (p<0.05 for all). No difference in Gensini score was observed between the two groups (p=0.118), but patients with ACS were more likely to have at least one significant epicardial angiographic lesion (>50% stenosis) (OR 2.0, p=0.022). Higher Gensini score was independently associated with (i) higher hsCRP and glucose levels, hypercholesterolemia, and increased age in stable CAD patients (R2 0.15, p<0001) and (ii) increased age and higher glucose and hsCRP levels in patients with ACS (R2 0.17, p<0001). CONCLUSIONS: Patients undergoing coronary angiography for ACS or stable CAD presented with a similar extent of angiographic CAD, although patients with ACS had a higher prevalence of significant lesions in the presence of a better cardiovascular risk profile and higher inflammation levels. The extent of angiographic CAD in both the groups shared common determinants such as hsCRP, age, and hyperglycemia, but these appeared to explain only a small part of the variation of coronary atherosclerosis.