ArticleFrontiers in cardiovascular medicine2024
Effectiveness analysis of deceleration capacity and traditional heart rate variability in diagnosing vasovagal syncope.
Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed.
- AI-enabled comprehensive patient safety management in acupuncture: from risk identification to continuous quality improvement.Frontiers in medicine · 2026Review
- Index of cardiac electrophysiological balance in patients with vasovagal syncope confirmed by head-up tilt test.Frontiers in cardiovascular medicine · 2026Article
- Recurrent Syncope in Patients With Reflex Syncope Treated With Dual-Chamber Pacemakers: Short-Term Associated Factors-A Single-Center Retrospective Study.Journal of arrhythmia · 2025Article
- Evaluation of the clinical value of heart rate variability in predicting vasovagal syncope.Frontiers in cardiovascular medicine · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Vasovagal syncope (VVS) is a prevalent medical condition with a lack of efficient methods for its detection. Aim: This study aimed to explore an objective clinical indicator in diagnosing VVS. Methods: The retrospective analysis involved clinical data of 243 syncope patients from 1 June 2020 to 31 July 2023. Among them, 108 patients had a negative result in the tilt test (TTT), while the remaining 135 patients had a positive result in the TTT. Relevant statistical methods were utilized to examine the correlation between VVS and different indicators of heart rate variability. Results: After screening, 354 patients being considered for VVS were evaluated, resulting in a final sample size of 243. Sex, age, deceleration capacity (DC), and standard deviation of all normal-to-normal intervals (SDNNs) were the variables that showed statistical significance between the TTT(-) group and the TTT(+) group. Independent risk factors identified by multivariate logistic regression were DC [odds ratio (OR) 1.710, 95% confidence interval (CI) 1.388-2.106, Conclusion: In summary, DC can function as an impartial and easily accessible clinical marker for differentiating VVS. A value exceeding 7.15 ms might suggest a higher likelihood of syncope.
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