Effect of the index of cardiac electrophysiological balance on major adverse cardiovascular events in patients with diabetes complicated with coronary heart disease

• Published in: PeerJ (San Francisco, CA) Vol. 11; p. e15969
• Main Authors: Lin, Yuan, Zhou, Fang, Wang, Xihui, Guo, Yaju, Chen, Weiguo
• Format: Journal Article
• Language: English
• Published: San Diego, USA PeerJ. Ltd 06.10.2023; PeerJ Inc
• Subjects: Analysis; Cardiac electrophysiological balance index; Cardiology; Care and treatment; Coronary heart disease; Development and progression; Diabetes; Diabetes and Endocrinology; Diabetics; Electrocardiogram; Electrocardiography; Epidemiology; Forecasts and trends; Heart failure; Major adverse cardiovascular events; Medical research; Medicine, Experimental; Prognosis
• DOI: 10.7717/peerj.15969
• ISSN: 2167-8359

Purpose To investigate the prognostic value of the index of cardio-electrophysiological balance (ICEB) and its association with major adverse cardiac events (MACE) and cardiovascular death in diabetic patients complicated with coronary heart disease. Methods A total of 920 diabetic patients were enrolled in this longitudinal study. Participants were categorized into three groups based on their ICEB levels: normal ICEB, low ICEB, and high ICEB. The primary outcome was the occurrence of MACE, and secondary outcomes included cardiovascular death, coronary heart disease (CHD), heart failure (HF), and sudden cardiac arrest (SCA). Patients were followed for a median period of 3.26 years, and the associations between ICEB levels and various outcomes were evaluated. Results Over the follow-up period, 46 (5.0%) MACE were observed in the normal ICEB group, 57 (6.2%) in the low ICEB group, and 62 (6.8%) in the high ICEB group. Elevated ICEB levels were found to be associated with a higher risk of MACE and cardiovascular death. A significant relationship between ICEB levels and the risk of MACE was observed for both genders. The risk of MACE increased with each unit increment in the ICEB index. However, the two-stage linear regression model did not outperform the single-line linear regression models in determining the threshold effect. Conclusion This study demonstrates the potential utility of ICEB, derived from a standard non-invasive ECG, as a prognostic tool for predicting MACE and cardiovascular death in diabetic patients complicated with CVD. The associations between ICEB levels and the risk of MACE highlight the importance of understanding cardiac electrophysiological imbalances and their implications in CVD.