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Background <p>Arrhythmia is a common and clinically relevant complication among patients with chronic kidney disease (CKD) undergoing hemodialysis (HD), contributing to adverse cardiovascular outcomes. We hypothesized that wearable electrocardiogram (ECG) monitors, being more patient-acceptable than standard ECG devices, could facilitate the detection of arrhythmias, including asymptomatic cases, in HD patients.</p> Methods <p>This two-phase real-world observational study enrolled CKD patients undergoing maintenance HD. In Phase I, we assessed the wearable single-lead ECG monitors with comparison to standard 12-lead Holter monitoring for detecting arrhythmias and measuring heart rate variability (HRV). In Phase II, we used the wearable ECG monitors to investigate the prevalence of arrhythmias during HD. Additionally, LASSO logistic regression was conducted to identify subgroups of patients most likely to benefit from wearable devices.</p> Results <p>This study enrolled 538 patients from five hospitals. In Phase I (<i>n</i> = 185), we found that the wearable ECG enabled continuous monitoring of arrhythmias and HRV in patients undergoing HD. Linear regression revealed a significant correlation of parameters of HRV, including SDNN, SDANN, and pNN50 between the wearable ECG and the standard Holter monitoring (<i>p</i> &lt; 0.001). LASSO logistic regression model identified the older patients (age ≥ 50) would benefit more from the usage of wearable devices than the younger. In Phase II, arrhythmias were detected in 34.0% of the HD population, with 80.8% of cases being asymptomatic.</p> Conclusions <p>This study confirmed the efficacy of wearable devices to detect arrhythmia and evaluate HRV in HD patients. The high prevalence of asymptomatic arrhythmias underscores the clinical value of using convenient wearable devices in this population.</p>

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Real-world evaluation of arrhythmias detection in hemodialysis patients using wearable electrocardiogram monitor: a two-phase multicenter observational study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月14日

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  • Shao-bin Yu,
  • Le-xi Huang,
  • Hui-chao Ma,
  • Tian-you Yan,
  • Mei Qi,
  • De-zheng Chen,
  • Gao-lun Liu,
  • Zai-zhi Zhu,
  • Ping Fu,
  • Xiao-xi Zeng

摘要

Background

Arrhythmia is a common and clinically relevant complication among patients with chronic kidney disease (CKD) undergoing hemodialysis (HD), contributing to adverse cardiovascular outcomes. We hypothesized that wearable electrocardiogram (ECG) monitors, being more patient-acceptable than standard ECG devices, could facilitate the detection of arrhythmias, including asymptomatic cases, in HD patients.

Methods

This two-phase real-world observational study enrolled CKD patients undergoing maintenance HD. In Phase I, we assessed the wearable single-lead ECG monitors with comparison to standard 12-lead Holter monitoring for detecting arrhythmias and measuring heart rate variability (HRV). In Phase II, we used the wearable ECG monitors to investigate the prevalence of arrhythmias during HD. Additionally, LASSO logistic regression was conducted to identify subgroups of patients most likely to benefit from wearable devices.

Results

This study enrolled 538 patients from five hospitals. In Phase I (n = 185), we found that the wearable ECG enabled continuous monitoring of arrhythmias and HRV in patients undergoing HD. Linear regression revealed a significant correlation of parameters of HRV, including SDNN, SDANN, and pNN50 between the wearable ECG and the standard Holter monitoring (p < 0.001). LASSO logistic regression model identified the older patients (age ≥ 50) would benefit more from the usage of wearable devices than the younger. In Phase II, arrhythmias were detected in 34.0% of the HD population, with 80.8% of cases being asymptomatic.

Conclusions

This study confirmed the efficacy of wearable devices to detect arrhythmia and evaluate HRV in HD patients. The high prevalence of asymptomatic arrhythmias underscores the clinical value of using convenient wearable devices in this population.