Incremental value of QT interval for the prediction of obstructive coronary artery disease in patients with chest pain

Abstract

Identification of obstructive coronary artery disease (OCAD) in patients with chest pain is a clinical challenge. The value of corrected QT interval (QTc) for the prediction of OCAD has yet to be established. We consecutively enrolled 1741 patients with suspected angina. The presence of obstructive OCAD was defined as ≥ 50% diameter stenosis by coronary angiography. The pre-test probability was evaluated by combining QTc prolongation with the CAD Consortium clinical score (CAD2) and the updated Diamond-Forrester (UDF) score. OCAD was detected in 661 patients (38.0%). QTc was longer in patients with OCAD compared with those without OCAD (444 ± 34 vs. 429 ± 28 ms, p < 0.001). QTc was increased by the severity of OCAD (P < 0.001). QTc prolongation was associated with OCAD (odds ratio (OR), 2.27; 95% confidence interval (CI), 1.81-2.85). With QTc, the C-statistics increased significantly from 0.68 (95% CI 0.66-0.71) to 0.76 (95% CI 0.74-0.78) in the CAD2 and from 0.64 (95% CI 0.62-0.67) to 0.74 (95% CI 0.72-0.77) in the UDF score, respectively. QT prolongation predicted the presence of OCAD and the QTc improved model performance to predict OCAD compared with CAD2 or UDF scores in patients with suspected angina.

Figure 1

Corrected QT interval according to the number of diseased vessels (a) and stenosis (b) of OCAD in total subjects, men and women.

Figure 2

ROC analysis for the additive value of corrected QT interval compared with (a) CAD2 score and (b) UDF score to predict obstructive coronary artery disease.

Figure 3

ROC analysis for additive value of corrected QT interval compared with (a) CAD2 score and (b) UDF score to predict obstructive coronary artery disease in men and women.