Cardiology Research

Comparative Analysis of 2 h-Holter and 24 h-Holter in Detecting Cardiac Contractions

Article Impact Level: HIGH
Data Quality: STRONG
Summary of Clinical Cardiology, 47(4), e24266. https://doi.org/10.1002/clc.24266
Qiong Huang et al.

Points

  • The study evaluated AI combined with 2 hours of single-lead Holter (2 h-Holter) monitoring for premature ventricular and supraventricular contractions (PVC and PSVC) detection.
  • One hundred seventy patients participated, wearing both 24-hour Holter monitoring (24 h-Holter) and 2 h-Holter simultaneously to compare diagnostic efficiency.
  • 2 h-Holter demonstrated a PPV of 76.00% and NPV of 87.50% for PSVC/PVC detection, with sensitivity and specificity of 79.17% and 91.30%, and 95.65% and 97.84% compared to 24 h-Holter.
  • The areas under the ROC curves (AUCs) for PSVC and PVC were 0.885 and 0.741, respectively, indicating high diagnostic accuracy for the 2 h-Holter.
  • The study concluded that the 2 h-Holter offers advantages such as a shortened wearing period, improved convenience, and excellent consistency of diagnosis, suggesting its potential as an enhanced strategy for PSVC/PVC detection.

Summary

In a study conducted between August 2022 and 2023, researchers aimed to evaluate the diagnostic efficiency of artificial intelligence (AI) combined with 2 hours single-lead Holter (2 h-Holter) monitoring in detecting premature ventricular and supraventricular contractions (PVC and PSVC) compared to the traditional 24 hours Holter monitoring (24 h-Holter). One hundred seventy patients participated in the study, wearing both devices simultaneously to compare diagnostic performance comprehensively.

The findings revealed that the 2 h-Holter demonstrated promising diagnostic capabilities, with a positive predictive value (PPV) of 76.00% and a negative predictive value (NPV) of 87.50% for PSVC/PVC detection. Furthermore, the sensitivity and specificity of the 2 h-Holter were 79.17%, 91.30%, 95.65%, and 97.84% for PSVC/PVC detection, respectively, compared with the 24 h-Holter. The areas under the ROC curves (AUCs) for PSVC and PVC were 0.885 and 0.741, respectively, indicating a high level of diagnostic accuracy for the 2 h-Holter.

In conclusion, the study demonstrated the potential advantages of the 2 h-Holter, including a shortened wearing period, improved convenience, and excellent consistency of diagnosis. These findings suggest that AI combined with single-lead Holter monitoring may offer an enhanced PSVC/PVC detection strategy, providing valuable insights for advancing diagnostic approaches in cardiac monitoring.

Link to the article: https://onlinelibrary.wiley.com/doi/10.1002/clc.24266


References

Huang, Q., Fan, Y., Wang, J., Xu, Z., Yang, L., Wang, J., Zhan, Y., Kong, X., & Zhou, N. (2024). The diagnostic efficiency of artificial intelligence based 2 hours Holter monitoring in premature ventricular and supraventricular contractions detection. Clinical Cardiology, 47(4), e24266. https://doi.org/10.1002/clc.24266

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