Usefulness of Heart Rhythm Complexity in Heart Failure Detection and Diagnosis

Overview

Journal Sci Rep

Specialty Science

Date 2020 Sep 11

PMID 32913306

Citations 18

Authors

Cheng-Hsuan Tsai

Hsi-Pin Ma

Yen-Tin Lin

Chi-Sheng Hung

Shan-Hsuan Huang

Bei-Lin Chuang

Chen Lin

Men-Tzung Lo

Chung-Kang Peng

Yen-Hung Lin

Affiliations

Soon will be listed here.

Abstract

Heart failure (HF) is a major cardiovascular disease worldwide, and the early detection and diagnosis remain challenges. Recently, heart rhythm complexity analysis, derived from non-linear heart rate variability (HRV) analysis, has been proposed as a non-invasive method to detect diseases and predict outcomes. In this study, we aimed to investigate the diagnostic value of heart rhythm complexity in HF patients. We prospectively analyzed 55 patients with symptomatic HF with impaired left ventricular ejection fraction and 97 participants without HF symptoms and normal LVEF as controls. Traditional linear HRV parameters and heart rhythm complexity including detrended fluctuation analysis (DFA) and multiscale entropy (MSE) were analyzed. The traditional linear HRV, MSE parameters and DFAα1 were significantly lower in HF patients compared with controls. In regression analysis, DFAα1 and MSE scale 5 remained significant predictors after adjusting for multiple clinical variables. Among all HRV parameters, MSE scale 5 had the greatest power to differentiate the HF patients from the controls in receiver operating characteristic curve analysis (area under the curve: 0.844). In conclusion, heart rhythm complexity appears to be a promising tool for the detection and diagnosis of HF.

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