ArticlePloS one2017
A Computational Study on the Relation between Resting Heart Rate and Atrial Fibrillation Hemodynamics under Exercise.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- Atrial Fibrillation in Endurance Training Athletes: Scoping Review.Reviews in cardiovascular medicine · 2023Article
- Cerebral hemodynamics during atrial fibrillation: Computational fluid dynamics analysis of lenticulostriate arteries using 7 T high-resolution magnetic resonance imaging.Physics of fluids (Woodbury, N.Y. : 1994) · 2022Article
- A computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers.Scientific reports · 2022Article
- Insights from computational modeling on the potential hemodynamic effects of sinus rhythm versus atrial fibrillation.Frontiers in cardiovascular medicine · 2022Review
- Different Impact of Heart Rate Variability in the Deep Cerebral and Central Hemodynamics at Rest: AnFrontiers in neuroscience · 2021Article
- Numerical Study of Atrial Fibrillation Effects on Flow Distribution in Aortic Circulation.Annals of biomedical engineering · 2020Article
- Higher ventricular rate during atrial fibrillation relates to increased cerebral hypoperfusions and hypertensive events.Scientific reports · 2019Article
- Alteration of cerebrovascular haemodynamic patterns due to atrial fibrillation: anJournal of the Royal Society, Interface · 2017Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsClinical data indicating a heart rate (HR) target during rate control therapy for permanent atrial fibrillation (AF) and assessing its eventual relationship with reduced exercise tolerance are lacking. The present study aims at investigating the impact of resting HR on the hemodynamic response to exercise in permanent AF patients by means of a computational cardiovascular model.
methodsThe AF lumped-parameter model was run to simulate resting (1 Metabolic Equivalent of Task-MET) and various exercise conditions (4 METs: brisk walking; 6 METs: skiing; 8 METs: running), considering different resting HR (70 bpm for the slower resting HR-SHR-simulations, and 100 bpm for the higher resting HR-HHR-simulations). To compare relative variations of cardiovascular variables upon exertion, the variation comparative index (VCI)-the absolute variation between the exercise and the resting values in SHR simulations referred to the absolute variation in HHR simulations-was calculated at each exercise grade (VCI4, VCI6 and VCI8).
resultsPulmonary venous pressure underwent a greater increase in HHR compared to SHR simulations (VCI4 = 0.71, VCI6 = 0.73 and VCI8 = 0.77), while for systemic arterial pressure the opposite is true (VCI4 = 1.15, VCI6 = 1.36, VCI8 = 1.56).
conclusionsThe computational findings suggest that a slower, with respect to a higher resting HR, might be preferable in permanent AF patients, since during exercise pulmonary venous pressure undergoes a slighter increase and systemic blood pressure reveals a more appropriate increase.
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