Bandwidth, perfusion standard deviation and entropy derived from single photon emission computed tomography are useful markers of systolic synchrony index evaluated thought echocardiography

Abstract

Abstract Funding Acknowledgements Type of funding sources: None. BACKGROUND Systolic synchrony (SS) is a fundamental predictor of adverse clinical outcomes in patients who develop myocardial ischemia or infarction. Although the evaluation could be assessed with myocardial perfusion image methods, the correlation with automatized methods such as the systolic synchrony index is still unclear. AIMS To evaluate the correlation of the bandwidth, perfusion standard deviation and entropy as makers of systolic synchrony derived from single photon emission computed tomography (SPECT) at basal and stress phase with the echocardiography systolic synchrony index. METHODS A cross-sectional cohort of patients with suspected ischemia or infarction were tested using SPECT in a center of reference in our city. An additional transthoracic echocardiography was performed. Pearson correlation test were used to extract the correlation coefficient of each variable after arithmetical normalization. An interaction analysis was performed to evaluate an interaction effect in patients either with ischemia or infarction. RESULTS We recruited 229 subjects, of which 49.3% (n = 83) had myocardial ischemia, 9.6% (n = 22) infarction and 4.8% (n = 11) both conditions. We observed a positive and significant correlation of bandwidth, perfusion standard deviation and entropy from SPECT with echocardiographic systolic synchrony index, which further increased at stress phase (Figure 1). We observe a positive interaction with subjects classified with only myocardial ischemia with all three SPECT parameters at stress phase (Figure 2). CONCLUSION We found a that SPECT bandwidth; perfusion standard deviation and entropy could adequately identify higher systolic dyssynchrony in stress phase and within patients with myocardial ischemia only. Abstract Figure. Dispersion plot Abstract Figure. Interaction analysis