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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Cardiol. Jun 26, 2026; 18(6): 117169
Published online Jun 26, 2026. doi: 10.4330/wjc.117169
Detecting subtle myocardial injury after percutaneous coronary intervention: Insights from electrocardiography and heart rate variability analysis
Maryam Salimi, Khashayar Hematpour
Maryam Salimi, Khashayar Hematpour, Department of Advanced Cardiopulmonary Therapies and Transplantations (ACTAT), University of Texas Health Sciences Center, McGovern Medical School, Houston, TX 77030, United States
Author contributions: Salimi M designed the overall outline of the manuscript and drafted it; Hematpour K edited and supervised the manuscript; Salimi M and Hematpour K contributed to this paper, read and approved the final version of the manuscript to be published.
AI contribution statement: During the preparation of this work, the authors used Open-AI’s ChatGPT to improve readability and language. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.
Conflict-of-interest statement: All authors declare no conflict of interest in publishing the manuscript.
Corresponding author: Khashayar Hematpour, MD, Assistant Professor, Department of Advanced Cardiopulmonary Therapies and Transplantations (ACTAT), University of Texas Health Sciences Center, McGovern Medical School, 6400 Fannin Street, Houston, TX 77030, United States. khashayar.hematpour@gmail.com
Received: December 2, 2025
Revised: February 2, 2026
Accepted: March 3, 2026
Published online: June 26, 2026
Processing time: 199 Days and 4.8 Hours
Abstract

Percutaneous coronary intervention (PCI) remains one of the most effective therapies for coronary artery disease, yet even technically successful procedures can place short-lived or mild stress on the myocardium. In routine practice, this early myocardial stress often goes unnoticed because standard 12-lead electrocardiography (ECG) and peri-procedural biomarkers are not well suited to detect small, transient, or patchy injury. In a recent observational study by Chaikovsky et al, published in World Journal of Cardiology, explored whether a more detailed ECG-based analysis could uncover these subtle changes. By integrating more than 240 ECG and heart rate variability parameters into composite indices, they identified distinct physiological response patterns in a small cohort of patients undergoing PCI. One subgroup demonstrated post-procedural changes suggestive of mild myocardial injury, including altered ventricular repolarization, increased electrical instability, and reduced autonomic balance – findings that were not captured by conventional ECG interpretation systems. These observations are preliminary and hypothesis-generating, but they highlight the potential of advanced ECG-heart rate variability analytics as a sensitive, noninvasive approach to assessing early myocardial stress after PCI. Larger prospective studies, with correlation to biomarkers, imaging, and clinical outcomes, are needed before such tools can be considered for routine clinical use.

Keywords: Percutaneous coronary intervention; Myocardial injury; Troponin; Electrocardiography; Heart rate variability; Composite electrocardiography-heart rate variability analysis; Subclinical ischemia; Post-percutaneous coronary intervention monitoring; Signal processing; Micro-infarction detection

Core Tip: Subtle myocardial stress after percutaneous coronary intervention is common but frequently undetected by routine electrocardiography (ECG) interpretation or selective biomarker testing. A composite ECG-heart rate variability analytical approach has been proposed to capture small electrical and autonomic changes shortly after coronary intervention. Although early and exploratory, this strategy illustrates how more nuanced ECG analysis may complement existing tools and improve post-percutaneous coronary intervention risk assessment once validated.

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