Enhanced detection of abnormalities in heart rate variability and dynamics by 7‐day continuous ECG monitoring

Abstract Background The analysis of heart rate variability (HRV) and heart rate (HR) dynamics by Holter ECG has been standardized to 24 hs, but longer‐term continuous ECG monitoring has become available in clinical practice. We investigated the effects of long‐term ECG on the assessment of HRV and H...

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Main Authors: Junichiro Hayano, Emi Yuda
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Annals of Noninvasive Electrocardiology
Subjects:
Online Access:https://doi.org/10.1111/anec.12897
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author Junichiro Hayano
Emi Yuda
author_facet Junichiro Hayano
Emi Yuda
author_sort Junichiro Hayano
collection DOAJ
description Abstract Background The analysis of heart rate variability (HRV) and heart rate (HR) dynamics by Holter ECG has been standardized to 24 hs, but longer‐term continuous ECG monitoring has become available in clinical practice. We investigated the effects of long‐term ECG on the assessment of HRV and HR dynamics. Methods Intraweek variations in HRV and HR dynamics were analyzed in 107 outpatients with sinus rhythm. ECG was recorded continuously for 7 days with a flexible, codeless, waterproof sensor attached on the upper chest wall. Data were divided into seven 24‐h segments, and standard time‐ and frequency‐domain HRV and nonlinear HR dynamics indices were computed for each segment. Results The intraweek coefficients of variance of HRV and HR dynamics indices ranged from 2.9% to 26.0% and were smaller for frequency‐domain than for time‐domain indices, and for indices reflecting slower HR fluctuations than faster fluctuations. The indices with large variance often showed transient abnormalities from day to day over 7 days, reducing the positive predictive accuracy of the 24‐h ECG for detecting persistent abnormalities over 7 days. Conversely, 7‐day ECG provided 2.3‐ to 6.5‐fold increase in sensitivity to detect persistent plus transient abnormalities compared with 24‐h ECG. It detected an average of 1.74 to 2.91 times as many abnormal indices as 24‐h ECG. Conclusions Long‐term ECG monitoring increases the accuracy and sensitivity of detecting persistent and transient abnormalities in HRV and HR dynamics and allows discrimination between the two types of abnormalities. Whether this discrimination improves risk stratification deserves further studies.
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spelling doaj.art-0a7aa03cb49f40b3948c4af35c0db6862022-12-21T19:39:12ZengWileyAnnals of Noninvasive Electrocardiology1082-720X1542-474X2022-01-01271n/an/a10.1111/anec.12897Enhanced detection of abnormalities in heart rate variability and dynamics by 7‐day continuous ECG monitoringJunichiro Hayano0Emi Yuda1Heart Beat Science Lab, Co., Ltd. Sendai JapanHeart Beat Science Lab, Co., Ltd. Sendai JapanAbstract Background The analysis of heart rate variability (HRV) and heart rate (HR) dynamics by Holter ECG has been standardized to 24 hs, but longer‐term continuous ECG monitoring has become available in clinical practice. We investigated the effects of long‐term ECG on the assessment of HRV and HR dynamics. Methods Intraweek variations in HRV and HR dynamics were analyzed in 107 outpatients with sinus rhythm. ECG was recorded continuously for 7 days with a flexible, codeless, waterproof sensor attached on the upper chest wall. Data were divided into seven 24‐h segments, and standard time‐ and frequency‐domain HRV and nonlinear HR dynamics indices were computed for each segment. Results The intraweek coefficients of variance of HRV and HR dynamics indices ranged from 2.9% to 26.0% and were smaller for frequency‐domain than for time‐domain indices, and for indices reflecting slower HR fluctuations than faster fluctuations. The indices with large variance often showed transient abnormalities from day to day over 7 days, reducing the positive predictive accuracy of the 24‐h ECG for detecting persistent abnormalities over 7 days. Conversely, 7‐day ECG provided 2.3‐ to 6.5‐fold increase in sensitivity to detect persistent plus transient abnormalities compared with 24‐h ECG. It detected an average of 1.74 to 2.91 times as many abnormal indices as 24‐h ECG. Conclusions Long‐term ECG monitoring increases the accuracy and sensitivity of detecting persistent and transient abnormalities in HRV and HR dynamics and allows discrimination between the two types of abnormalities. Whether this discrimination improves risk stratification deserves further studies.https://doi.org/10.1111/anec.12897heart rate dynamicsheart rate variabilityHolter ECGlong‐term ECG monitoringday‐to‐day variationintraweek variation
spellingShingle Junichiro Hayano
Emi Yuda
Enhanced detection of abnormalities in heart rate variability and dynamics by 7‐day continuous ECG monitoring
Annals of Noninvasive Electrocardiology
heart rate dynamics
heart rate variability
Holter ECG
long‐term ECG monitoring
day‐to‐day variation
intraweek variation
title Enhanced detection of abnormalities in heart rate variability and dynamics by 7‐day continuous ECG monitoring
title_full Enhanced detection of abnormalities in heart rate variability and dynamics by 7‐day continuous ECG monitoring
title_fullStr Enhanced detection of abnormalities in heart rate variability and dynamics by 7‐day continuous ECG monitoring
title_full_unstemmed Enhanced detection of abnormalities in heart rate variability and dynamics by 7‐day continuous ECG monitoring
title_short Enhanced detection of abnormalities in heart rate variability and dynamics by 7‐day continuous ECG monitoring
title_sort enhanced detection of abnormalities in heart rate variability and dynamics by 7 day continuous ecg monitoring
topic heart rate dynamics
heart rate variability
Holter ECG
long‐term ECG monitoring
day‐to‐day variation
intraweek variation
url https://doi.org/10.1111/anec.12897
work_keys_str_mv AT junichirohayano enhanceddetectionofabnormalitiesinheartratevariabilityanddynamicsby7daycontinuousecgmonitoring
AT emiyuda enhanceddetectionofabnormalitiesinheartratevariabilityanddynamicsby7daycontinuousecgmonitoring