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Predictive value of exercise myocardial perfusion imaging in the Medicare population: the impact of the ability to exercise

  
@article{CDT3365,
	author = {Deborah H. Kwon and Venu Menon and Penny Houghtaling and Elizabeth Lieber and Richard C. Brunken and Manuel D. Cerqueira and Wael A. Jaber},
	title = {Predictive value of exercise myocardial perfusion imaging in the Medicare population: the impact of the ability to exercise},
	journal = {Cardiovascular Diagnosis and Therapy},
	volume = {4},
	number = {1},
	year = {2014},
	keywords = {},
	abstract = {Background: Although the prognostic value of quantitative single photon emission computed tomography myocardial perfusion imaging (MPI) with exercise and pharmacologic stress is well established, the prognostic and management value in the Medicare age population is less clear.
Methods: The prospectively populated Cleveland Clinic nuclear cardiology database was used to identify consecutive patients, age >65 years [who underwent exercise, 1,664 (28%), mean age 72.4±5.1, 74% male] MPI between January 2004 and January 2008. Clinical baseline variables, post test 90 days revascularization and MPI variables were analyzed. Overall and stratified nonparametric survival estimates were obtained by Kaplan-Meier method. Median follow-up time was 2.4 years. Parametric hazard modeling with bootstrap bagging methods was used to determine prognostic variables predicting mortality.
Results: There was no difference in mortality in patients with an abnormal MPI vs. those with normal MPI. There were 103 (6%) deaths and 121 (8.2%) revascularizations. Only lower exercise capacity (<7 METs) and higher end systolic volume (ESV) predicted mortality. Although a larger amount of ischemia influenced down stream revascularization ischemia, revascularization of patients with an abnormal exercise MPI did not offer a survival benefit (log rank P value=0.01).
Conclusions: In the a Medicare age population, exercise MPI perfusion variables influenced rates of revascularization but failed to provide incremental significant risk-stratification beyond exercise capacity. Maximum METs achieved appears to be a better predictor of survival.},
	issn = {2223-3660},	url = {https://cdt.amegroups.org/article/view/3365}
}