» Articles » PMID: 25192922

Impact of Atrial Fibrillation on the Cardiovascular System Through a Lumped-parameter Approach

Overview
Publisher Springer
Date 2014 Sep 7
PMID 25192922
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Atrial fibrillation (AF) is the most common arrhythmia affecting millions of people in the Western countries and, due to the widespread impact on the population and its medical relevance, is largely investigated in both clinical and bioengineering sciences. However, some important feedback mechanisms are still not clearly established. The present study aims at understanding the global response of the cardiovascular system during paroxysmal AF through a lumped-parameter approach, which is here performed paying particular attention to the stochastic modeling of the irregular heartbeats and the reduced contractility of the heart. AF can be here analyzed by means of a wide number of hemodynamic parameters and avoiding the presence of other pathologies, which usually accompany AF. Reduced cardiac output with correlated drop of ejection fraction and decreased amount of energy converted to work by the heart during blood pumping, as well as higher left atrial volumes and pressures are some of the most representative results aligned with the existing clinical literature and here emerging during acute AF. The present modeling, providing new insights on cardiovascular variables which are difficult to measure and rarely reported in literature, turns out to be an efficient and powerful tool for a deeper comprehension and prediction of the arrythmia impact on the whole cardiovascular system.

Citing Articles

Haemodynamic changes after atrial fibrillation initiation in patients eligible for catheter ablation: a randomized controlled study.

Almroth H, Karlsson L, Carlhall C, Charitakis E Eur Heart J Open. 2023; 3(6):oead112.

PMID: 38025650 PMC: 10655843. DOI: 10.1093/ehjopen/oead112.


Beat-to-beat finger photoplethysmography in atrial fibrillation patients undergoing electrical cardioversion.

Saglietto A, Scarsoglio S, Canova D, De Ferrari G, Ridolfi L, Anselmino M Sci Rep. 2023; 13(1):6751.

PMID: 37185372 PMC: 10130175. DOI: 10.1038/s41598-023-33952-z.


Cerebral hemodynamics during atrial fibrillation: Computational fluid dynamics analysis of lenticulostriate arteries using 7 T high-resolution magnetic resonance imaging.

Scarsoglio S, Saglietto A, Tripoli F, Zwanenburg J, Biessels G, Ferrari G Phys Fluids (1994). 2023; 34(12):121909.

PMID: 36776539 PMC: 9907777. DOI: 10.1063/5.0129899.


Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke.

Qureshi A, Lip G, Nordsletten D, Williams S, Aslanidi O, de Vecchi A Front Cardiovasc Med. 2023; 9:1074562.

PMID: 36733827 PMC: 9887999. DOI: 10.3389/fcvm.2022.1074562.


Insights from computational modeling on the potential hemodynamic effects of sinus rhythm versus atrial fibrillation.

Anselmino M, Scarsoglio S, Ridolfi L, De Ferrari G, Saglietto A Front Cardiovasc Med. 2022; 9:844275.

PMID: 36187015 PMC: 9515395. DOI: 10.3389/fcvm.2022.844275.


References
1.
Benjamin E, Wolf P, DAgostino R, Silbershatz H, Kannel W, Levy D . Impact of atrial fibrillation on the risk of death: the Framingham Heart Study. Circulation. 1998; 98(10):946-52. DOI: 10.1161/01.cir.98.10.946. View

2.
Fuster V, Ryden L, Cannom D, Crijns H, Curtis A, Ellenbogen K . ACC/AHA/ESC 2006 Guidelines for the Management of Patients with Atrial Fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for.... Circulation. 2006; 114(7):e257-354. DOI: 10.1161/CIRCULATIONAHA.106.177292. View

3.
Lloyd-Jones D, Adams R, Brown T, Carnethon M, Dai S, de Simone G . Heart disease and stroke statistics--2010 update: a report from the American Heart Association. Circulation. 2009; 121(7):e46-e215. DOI: 10.1161/CIRCULATIONAHA.109.192667. View

4.
Korakianitis T, Shi Y . A concentrated parameter model for the human cardiovascular system including heart valve dynamics and atrioventricular interaction. Med Eng Phys. 2005; 28(7):613-28. DOI: 10.1016/j.medengphy.2005.10.004. View

5.
Hennig T, Maass P, Hayano J, Heinrichs S . Exponential distribution of long heart beat intervals during atrial fibrillation and their relevance for white noise behaviour in power spectrum. J Biol Phys. 2009; 32(5):383-92. PMC: 2651535. DOI: 10.1007/s10867-006-9022-z. View