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Long-term association of ultra-short heart rate variability with cardiovascular events

Orini, Michele; van Duijvenboden, Stefan; Young, William J; Ramírez, Julia; Jones, Aled R; Hughes, Alun D; Tinker, Andrew; ... Lambiase, Pier D; + view all (2023) Long-term association of ultra-short heart rate variability with cardiovascular events. Scientific Reports , 13 (1) , Article 18966. 10.1038/s41598-023-45988-2. Green open access

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Abstract

Heart rate variability (HRV) is a cardiac autonomic marker with predictive value in cardiac patients. Ultra-short HRV (usHRV) can be measured at scale using standard and wearable ECGs, but its association with cardiovascular events in the general population is undetermined. We aimed to validate usHRV measured using ≤ 15-s ECGs (using RMSSD, SDSD and PHF indices) and investigate its association with atrial fibrillation, major adverse cardiac events, stroke and mortality in individuals without cardiovascular disease. In the National Survey for Health and Development (n = 1337 participants), agreement between 15-s and 6-min HRV, assessed with correlation analysis and Bland-Altman plots, was very good for RMSSD and SDSD and good for PHF. In the UK Biobank (n = 51,628 participants, 64% male, median age 58), after a median follow-up of 11.5 (11.4-11.7) years, incidence of outcomes ranged between 1.7% and 4.3%. Non-linear Cox regression analysis showed that reduced usHRV from 15-, 10- and 5-s ECGs was associated with all outcomes. Individuals with low usHRV (< 20th percentile) had hazard ratios for outcomes between 1.16 and 1.29, p < 0.05, with respect to the reference group. In conclusion, usHRV from ≤ 15-s ECGs correlates with standard short-term HRV and predicts increased risk of cardiovascular events in a large population-representative cohort.

Type: Article
Title: Long-term association of ultra-short heart rate variability with cardiovascular events
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41598-023-45988-2
Publisher version: https://doi.org/10.1038/s41598-023-45988-2
Language: English
Additional information: © 2023 Springer Nature Limited. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Humans, Male, Middle Aged, Female, Heart Rate, Electrocardiography, Autonomic Nervous System, Cardiovascular Diseases, Proportional Hazards Models
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine > MRC Unit for Lifelong Hlth and Ageing
URI: https://discovery.ucl.ac.uk/id/eprint/10180879
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