Impact of atrial fibrillation on the cardiovascular system through a lumped-parameter approach

Stefania Scarsoglio1, Andrea Guala2, Carlo Camporeale2

  • 1Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy. stefania.scarsoglio@polito.it.

Insights

This study models cardiovascular responses during atrial fibrillation (AF), revealing reduced cardiac output and increased left atrial pressure. The findings enhance understanding of AF

Area of Science:

  • Cardiovascular Physiology
  • Bioengineering Sciences
  • Computational Biology

Background:

  • Atrial fibrillation (AF) is a prevalent arrhythmia with significant health implications.
  • Key feedback mechanisms within the cardiovascular system during AF remain incompletely understood.
  • Existing research often involves comorbidities, complicating the isolation of AF's direct effects.

Purpose of the Study:

  • To investigate the global cardiovascular system's response during paroxysmal atrial fibrillation.
  • To utilize a lumped-parameter model with stochasticity to simulate irregular heartbeats and reduced contractility.
  • To provide insights into hemodynamic parameters difficult to measure clinically.

Main Methods:

  • Employed a lumped-parameter modeling approach for cardiovascular dynamics.
  • Incorporated stochastic modeling to represent irregular heartbeats characteristic of AF.
  • Modeled reduced cardiac contractility associated with atrial fibrillation.
  • Analyzed a comprehensive set of hemodynamic parameters in isolation from other pathologies.

Main Results:

  • Observed reduced cardiac output and ejection fraction during simulated AF.
  • Documented decreased energy conversion by the heart during blood pumping.
  • Identified elevated left atrial volumes and pressures consistent with clinical observations.
  • Generated data on cardiovascular variables not readily available in existing literature.

Conclusions:

  • The developed model offers a powerful tool for comprehending cardiovascular alterations during AF.
  • Provides novel insights into the systemic impact of atrial fibrillation.
  • Facilitates deeper understanding and prediction of AF's effects on the cardiovascular system.

Related Concept Videos

Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
783
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
1.1K
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A...
144
Cardiac Output II: Effect of Stroke Volume on Cardiac Output01:22

Cardiac Output II: Effect of Stroke Volume on Cardiac Output

Cardiac output (CO), the amount of blood the heart pumps per minute, is a parameter in cardiovascular physiology determined by stroke volume and heart rate. Stroke volume, the amount of blood pushed from one of the ventricles per heartbeat, is influenced by preload, afterload, and contractility.
Preload
Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
4.6K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
501