scholarly journals Enhanced Automated Diagnosis of Coronary Artery Disease Using Features Extracted From QT Interval Time Series and ST–T Waveform

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 129510-129524
Author(s):  
Lianke Yao ◽  
Changchun Liu ◽  
Peng Li ◽  
Jikuo Wang ◽  
Yuanyuan Liu ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Time Series ◽  
Coronary Artery ◽  
Qt Interval ◽  
Automated Diagnosis ◽  
Interval Time ◽  
Interval Time Series ◽  
Artery Disease

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

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dong-Hyuk Cho ◽  
Jimi Choi ◽  
Mi-Na Kim ◽  
Hee-Dong Kim ◽  
Soon Jun Hong ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Chest Pain ◽  
Coronary Artery ◽  
Qt Interval ◽  
Obstructive Coronary Artery Disease ◽  
Model Performance ◽  
Clinical Score ◽  
Qtc Prolongation ◽  
Artery Disease ◽  
Improved Model

AbstractIdentification 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.

Sign in / Sign up

Export Citation Format

Share Document