Journal article icon

Journal article : Review

Heart rate variability in cardiovascular disease diagnosis, prognosis and management

Abstract:
Heart rate variability (HRV), the variation in intervals between consecutive heartbeats, reflects autonomic nervous system function and has been studied as a potential biomarker in cardiovascular disease (CVD). While reduced HRV has been linked to arrhythmias, heart failure, and ischaemic heart disease, findings across studies are mixed and its prognostic value remains debated. This review evaluates HRV's diagnostic, prognostic, and therapeutic roles in CVD. HRV can reveal autonomic dysfunction early, predict outcomes such as sudden cardiac death and recurrent myocardial infarction, and track recovery after cardiac events. It also shows promise in monitoring comorbid conditions like heart failure and depression that exacerbate cardiovascular risk. Advancements in wearable technology and machine learning are expanding HRV's potential. Wearable devices enable continuous, non-invasive HRV monitoring, while machine learning algorithms enhance the precision and predictive power of HRV analysis. These innovations may facilitate real-time data collection and tailored treatment plans, though their clinical utility requires validation in larger, prospective trials. Key challenges remain, including measurement variability, lack of standardisation, and limited incremental prognostic value over established risk factors. This review highlights HRV's emerging role in personalised cardiovascular care while acknowledging the substantial research needed before widespread clinical adoption.
Publication status:
Published
Peer review status:
Peer reviewed

Actions

Access Document

Files:
Publisher copy:
10.3389/fcvm.2025.1680783

Authors

More by this author
Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author


Publisher:
Frontiers Media
Journal:
Frontiers in Cardiovascular Medicine More from this journal
Volume:
12
Article number:
1680783
Publication date:
2026-01-26
Acceptance date:
2025-12-22
DOI:
EISSN:
2297-055X
ISSN:
2297-055X


Language:
English
Keywords:
Subtype:
Review
Pubs id:
2390541
UUID:
uuid_9b878f4f-8145-47ce-bce1-e9868a688819
Local pid:
pubs:2390541
Source identifiers:
3740164
Deposit date:
2026-02-09
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP