Evidence mapPaperPMID 41798538Full record

ArticleCureus2026

Physiological Characterisation of Severe Heart Failure Using Long-Duration Ambulatory ECG: A Retrospective Exploratory Analysis.

Junaid Aamir Khan, Usman Ali, Md Tanzim Ahsan, Ratan Chandra Roy, Opeyemi S Alamu, Francesco Alessi Longa

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Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Junaid Aamir KhanDepartment of Acute Medicine, Wrightington, Wigan and Leigh Teaching Hospital, NHS Foundation Trust, Wrightington, GBR.
Usman AliDepartment of Acute Medicine, Wrightington, Wigan and Leigh Teaching Hospital, NHS Foundation Trust, Wrightington, GBR.
Md Tanzim AhsanDepartment of Elderly Medicine, University Hospitals Sussex, Worthing, GBR.
Ratan Chandra RoyDepartment of Physical Medicine and Rehabilitation, Dhaka Medical College Hospital, Dhaka, BGD.
Opeyemi S AlamuDepartment of Statistics, Federal College of Animal Health and Production Technology Ibadan, Ibadan, NGA.
Francesco Alessi LongaDepartment of International Law, Azteca University, Chalco, MEX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure is associated with progressive autonomic and cardiorespiratory dysregulation that is incompletely captured by episodic clinical assessment. Continuous ambulatory ECG offers a unique opportunity to describe longitudinal physiological dynamics, particularly in patients with advanced disease.

aimThe aim of this study is to provide a descriptive and exploratory physiological characterisation of cardiac and respiratory dynamics in patients with severe heart failure using long-duration ambulatory ECG recordings.

methodsThis retrospective secondary analysis used the publicly available Beth Israel Deaconess Medical Center (BIDMC) Congestive Heart Failure database, comprising approximately 20 hours of two-channel ambulatory ECG recordings from 15 patients with NYHA class III-IV heart failure. Automated ECG annotations were used to derive heart rate (HR), time- and frequency-domain heart rate variability (HRV), and ECG-derived respiration (EDR). Analyses focused on inter-individual variability and within-subject temporal patterns using descriptive statistics and longitudinal visualisation.

resultsMarked heterogeneity was observed across subjects in mean HR and HRV metrics, with generally depressed HRV consistent with advanced autonomic dysfunction. Longitudinal analyses revealed substantial within-subject variability and temporal trends in HR and EDR across recording periods, including systematic differences between early and late segments. HR and HRV showed partial dissociation across individuals, underscoring the limitations of single-parameter assessment.

conclusionLong-duration ambulatory ECG enables rich descriptive characterisation of cardiac and respiratory physiology in severe heart failure. These findings are exploratory and hypothesis-generating, providing a physiological foundation for future studies that integrate clinical covariates, outcomes, and contemporary wearable technologies.

Indexed as

ambulatory ecgdigital healthheart failureheart rate variabilityremote monitoringwearable devices

Identifiers

PMID41798538
PMCPMC12964318

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