The value of heart rhythm complexity in identifying high-risk pulmonary hypertension patients

Shu Yu Tang, Hsi Pin Ma, Chi Sheng Hung, Ping Hung Kuo, Chen Lin, Men Tzung Lo, Hsao Hsun Hsu, Yu Wei Chiu, Cho Kai Wu, Cheng Hsuan Tsai, Yen Tin Lin, Chung Kang Peng, Yen Hung Lin

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Pulmonary hypertension (PH) is a fatal disease—even with state-of-the-art medical treat-ment. Non-invasive clinical tools for risk stratification are still lacking. The aim of this study was to investigate the clinical utility of heart rhythm complexity in risk stratification for PH patients. We prospectively enrolled 54 PH patients, including 20 high-risk patients (group A; defined as WHO functional class IV or class III with severely compromised hemodynamics), and 34 low-risk patients (group B). Both linear and non-linear heart rate variability (HRV) variables, including detrended fluctuation analysis (DFA) and multiscale entropy (MSE), were analyzed. In linear and non-linear HRV analysis, low frequency and high frequency ratio, DFAα1, MSE slope 5, scale 5, and area 6–20 were significantly lower in group A. Among all HRV variables, MSE scale 5 (AUC: 0.758) had the best predictive power to discriminate the two groups. In multivariable analysis, MSE scale 5 (p = 0.010) was the only significantly predictor of severe PH in all HRV variables. In conclusion, the patients with severe PH had worse heart rhythm complexity. MSE parameters, especially scale 5, can help to identify high-risk PH patients.

Original languageEnglish
Article number753
JournalEntropy
Volume23
Issue number6
DOIs
StatePublished - Jun 2021

Keywords

  • Detrended fluctuation analysis
  • Heart rate variability
  • Multiscale entropy
  • Non-linear analysis
  • Pulmonary hypertension

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