Dynamic cardiomyoplasty (DCM) is an emerging surgical procedure for he
art failure in which the patient's latissimus dorsi (LD) muscle is wra
pped around the heart and stimulated to contract in synchrony with the
heartbeat as a cardiac assist measure. A 6 week training protocol of
progressive electrical stimulation renders the normally fatiguable ske
letal muscle fatigue-resistant and suitable for chronic stimulation. T
o date, over 500 procedures have been performed in worldwide clinical
trials. Investigators typically report symptomatic improvement and mod
est hemodynamic improvement in patients. Controversy exists regarding
the exact mechanism of DCM. To test the hypothesis that DCM augments c
ardiac stroke volume through improvement in systolic function, we form
ulated an engineering model of dynamic cardiomyoplasty to predict stro
ke volume. The heart and the LD were modeled as nested (series) elasta
nce chambers, and the vasculature was represented by a two-element Win
dkessel model. Using five healthy goats, we verified model predictions
of stroke volume for both stimulator ON beats (y=1.00x-0.08, r=0.87,
p <0.0001) and OFF beats (y=1.01x+1.06, r=0.91, p <0.0001), where x an
d y are the measured and predicted stroke volumes, respectively. The m
odel confirms that using untrained latissimus dorsi applied to the nor
mal myocardium produces only moderate increases in stroke volume and s
uggests that future research should focus on increasing LD strength af
ter training. (C) 1998 Biomedical Engineering Society.