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A mathematical model of left ventricular function in atrial fibrillation
1Department of Medicine & Therapeutics, University of Aberdeen, Foresterhill, U.K.
International Journal of Bio-Medical Computing
|October 1, 1988
Summary
In atrial fibrillation (AF), the previous two heartbeats significantly influence left ventricular stroke output. Longer preceding R-R intervals generally increase stroke distance, impacting cardiac function assessment.
Area of Science:
- Cardiology
- Cardiovascular Physiology
- Biomedical Engineering
Background:
- Atrial fibrillation (AF) presents irregular heart rhythms, complicating the assessment of cardiac output.
- Understanding beat-to-beat variations in left ventricular stroke output is crucial for managing AF patients.
Purpose of the Study:
- To investigate the relationship between R-R interval duration and left ventricular stroke output in patients with AF.
- To quantify the influence of preceding R-R intervals on stroke distance using Doppler ultrasound.
Main Methods:
- Doppler ultrasound was used to measure stroke distance (a surrogate for stroke volume) in 60 AF patients.
- Multiple regression analysis was employed to determine the correlation between stroke distance and preceding R-R intervals.
- Individual hemodynamic profiles were analyzed to understand variations in left ventricular function.
Main Results:
- Beat-to-beat variations in stroke distance were significantly explained by the two preceding R-R intervals (Mean R=0.82).
- A positive correlation was observed between stroke distance and the immediately preceding R-R interval (preload/diastolic filling).
- A negative correlation was noted with the second previous R-R interval, attributed to the force-frequency effect on contractility.
Conclusions:
- The preceding R-R interval (preload) and the second previous R-R interval (contractility) are key determinants of stroke distance in AF.
- The influence of preload decreases with declining left ventricular function and increasing heart rate.
- Individual hemodynamic profiles reveal significant variations in left ventricular response to R-R interval changes.