Minor ST-T changes on electrocardiograms are associated with reduced constructive myocardial work in hypertensive patients with a preserved ejection fraction

Nakamura, Shin; Ishikawa, Joji; Sakurayama, Chieko; Shimizu, Ruri; Toba, Ayumi; Yamamoto, Akira; Murata, Tetsuya; Harada, Kazumasa

doi:10.1038/s41440-022-00957-6

Cited by 1 publication

(2 citation statements)

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“…Diagnosing with the standard 12‐lead ECG mainly depends on the physician's visual assessments, resulting in a certain degree of subjectivity, and tiny changes are frequently missed 11,28 . It has been shown that subtle changes in the ST‐T segment of the ECG signal can reflect cardiac function and myocardial injury 29,30 . The CDG, based on deterministic learning theory, focuses on analyzing these subtle abnormal signals and detecting the dynamics of cardiac repolarization 31 .…”

Section: Discussionmentioning

confidence: 99%

“… 11 , 28 It has been shown that subtle changes in the ST‐T segment of the ECG signal can reflect cardiac function and myocardial injury. 29 , 30 The CDG, based on deterministic learning theory, focuses on analyzing these subtle abnormal signals and detecting the dynamics of cardiac repolarization. 31 This cardiac dynamic information represents spatial and temporal variations in the repolarization phase of cardiac activation versus the static characteristics of the ECG signal.…”

Section: Discussionmentioning

confidence: 99%

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ECG‐based cardiodynamicsgram can reflect anomalous functional information in coronary artery disease

Wang

Sun

Kim

et al. 2023

Clinical Cardiology

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Background: The cardiodynamicsgram (CDG), a novel noninvasive method, extracts dynamic ST-T segment information from an electrocardiogram (ECG) through deterministic learning. Hypothesis:The CDG can reflect anomalous functional information in coronary artery disease (CAD).Methods: We retrospectively enrolled 456 patients with suspected CAD who underwent coronary computed tomography angiography (CCTA) from January 2020 to 2022, followed immediately by standard 12-lead ECG acquisition. Positivity for CAD were defined as CCTA ≥ 50% or CT-derived fractional flow reserve (CT-FFR) ≤ 0.8. A CDG value <0 was considered negative; otherwise, it was considered positive. We also evaluated the diagnostic performance of the CDG in the ECGdiagnosis-negative subgroup and in patients who had undergone invasive coronary angiography (ICA) after CCTA.Results: Of 362 patients, 168 (46.41%) were positive for CAD, and 178 (49.17%) were men. The median age was 59 (52−66) years. The accuracy of the CDG in the diagnosis of CAD was 79.56%, with a sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC) of 75.60%, 82.99%, and 0.836 (95% CI: 0.794−0.878), respectively. Similarly, in the ECG-diagnosis-negative subgroup (n = 223), the accuracy of the CDG was 80.27%, with an AUC of 0.842 (95% CI: 0.790−0.895). Among the 11 patients with CAD confirmed by ICA, 10 were diagnosed positive by the CDG. Furthermore, the CDG values and CT-FFR were correlated (r = −.395; p < .001). Conclusions:The ECG-based CDG has relatively high specificity and accuracy for the diagnosis of CAD and reflects functional cardiac information to some extent. It has

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Section: Discussionmentioning

confidence: 99%