To analyze the correlation between heart rate variability (HRV) and ventricular arrhythmia (VA) in patients with coronary heart disease (CHD).
Approach:
Study Design: A retrospective study conducted from January 2020 to July 2024, involving patients with CHD divided into VA and control groups based on the presence of VA.
HRV Measurement: HRV indices were measured using 24-hour dynamic electrocardiogram monitoring, including SDNN, SDANN, rMSSD, and PNN50.
Data Analysis: Clinical data were compared between groups, and linear regression was used to explore the relationship between HRV and VA.
Key Findings:
HRV indices SDNN, SDANN, rMSSD, and PNN50 were significantly lower in the VA group compared to the non-VA group (P < 0.05).
Linear regression analysis indicated that SDANN, rMSSD, and PNN50 were significantly associated with VA occurrence (P < 0.05).
A linear equation derived from the analysis was Y = 1.976 − 0.006 × X2 − 0.009 × X3 − 0.007 × X4.
Interpretation:
Limitations:
The study was retrospective and may be subject to selection bias.
Only patients with complete 24-hour ambulatory ECG data were included, which may limit generalizability.
Conclusion:
HRV indices, particularly SDANN, rMSSD, and PNN50, are significantly associated with the occurrence of VA in patients with CHD.
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