S. Morita et al., PREDICTION OF LONG-TERM SURVIVAL BY PREOPERATIVE EXERCISE TESTING IN PATIENTS WITH DEPRESSED EJECTION FRACTION UNDERGOING MYOCARDIAL REVASCULARIZATION, Journal of thoracic and cardiovascular surgery, 110(4), 1995, pp. 944-951
Ejection fraction is a major determinant of morbidity and mortality fo
r patients with ischemic heart disease, Patients with an ejection frac
tion of 0.40 or less are generally recognized as having a poorer progn
osis than; those patients with an ejection fraction of 0.50 or better
and remain a heterogeneous group, It would be useful if patients with
a favorable surgical prognosis could be identified preoperatively, Fif
ty-five patients who underwent coronary artery bypass grafting and had
an ejection fraction less than 0.40 (mean of 0.23 +/- 0.07 standard d
eviation) were studied by catheter measurement of pulmonary arterial p
ressure and radionuclide left ventriculography, Heart rate, systemic b
lood pressure, pulmonary artery pressures, cardiac output, and ejectio
n fraction were measured, at rest, after nitroglycerin was given intra
venously and with supine bicycle exercise, Forty-seven patients who ha
d follow-up longer than 4 years were divided into two groups according
to their life status (alive or dead) 4 years after operation, Measure
d variables of exercise stress tests and clinical characteristics were
entered into factor analysis to obtain a cardiac function factor scor
e for predicting the life status after 4 years, The cardiac function f
actor score was highly loaded by stroke index (rest, nitroglycerin), c
ardiac index (exercise), systemic vascular resistance index (exercise)
, and history of congestive heart failure, The cardiac function factor
provided a predictive value superior to that of any individual variab
le, By dividing the patients into two groups by cardiac function facto
r score, the actuarial 5-year survival was 72% versus 17% for good and
poor prognosis; groups, respectively (p < 0.0001). Preoperative exerc
ise stress testing data integrated by factor analysis provide a predic
tive tool for patients with a low ejection fraction.