ArticleCJC pediatric and congenital heart disease2026
Heart Rate Variability in Congenital Heart Disease and Controls Using Wearable Technology and a Health Application Programming Interface-A Cross-sectional Study.
Article in CJC pediatric and congenital heart disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Article
- Cholesterol, high-density lipoprotein, and glucose index as a cardiometabolic marker associated with heart rate variability and 1-year cardiovascular rehospitalization in chronic coronary syndromes with comorbid anxiety: a retrospective cohort study.Frontiers in endocrinology · 2026Article
- Intelligent imaging triage systems for reducing waiting anxiety: a narrative review.Frontiers in psychiatry · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: With 95% of patients with congenital heart disease (CHD) reaching adulthood, the focus has shifted from early mortality to long-term morbidity. Chronic health conditions are associated with increased cardiac and psychological burdens, which could influence autonomic function. This study compares heart rate variability (HRV) levels between adults with CHD and controls. Methods: Between September 2023 and February 2024, 124 adults with CHD (33.7 ± 10.5 years, 47.6% women) and 43 controls (34.3 ± 12.0 years, 44.2% women) participated in a wearable-based physiological assessment. HRV was continuously recorded using Garmin vivosmart 5 for 7 days, with data synchronized via a health application programming interface. The root mean square of successive differences (rMSSD) was calculated for day and nighttime based on individual sleep and waking schedules. Results: Patients with CHD exhibited lower overall rMSSD than controls (CHD: 39.9 [33.6; 48.1] vs controls: 47.0 [39.9; 53.3]; Conclusions: Patients with CHD appear to have lower overall HRV, driven by decreased nighttime HRV compared with controls. Nighttime HRV is key for understanding recovery, sleep quality, and health. Continuous monitoring via health application programming interfaces could support reliable chronic health assessment and personalized care strategies.
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Registered trials
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