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.

Highlights

  • Identification of obstructive coronary artery disease (OCAD) in patients with chest pain is a clinical challenge

  • OCAD on coronary angiography (CAG) was found in 661 patients (38.0%)

  • The study findings were as follows: (1) The mean value of QTc interval was prolonged in patients with OCAD compared with non-OCAD. (2) The QTc interval was increased linearly according to the severity of OCAD, especially in women

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Summary

Introduction

Identification of obstructive coronary artery disease (OCAD) in patients with chest pain is a clinical challenge. The pre-test probability was evaluated by combining QTc prolongation with the CAD Consortium clinical score (CAD2) and the updated Diamond-Forrester (UDF) score. 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. Identification of obstructive coronary artery disease (OCAD) in patients with chest pain is a clinical challenge, in the outpatient clinic. Updated Diamond-Forrester (UDF) and CAD consortium (CAD2) scores have been used to predict OCAD, based on age, sex, typical symptoms and cardiovascular risk factors, but not ECG f­indings[2,3,4]. We evaluated the incremental diagnostic value of QT prolongation in conventional tests to identify patients with significant OCAD in clinical practice

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