Single-photon emission computed tomography myocardial perfusion defects are associated with an increased risk of all-cause death, cardiovascular death, and sudden cardiac death.
BACKGROUND
Single-photon emission computed tomography myocardial perfusion imaging defects are associated with increased all-cause mortality and cardiovascular death. However, it is unknown whether single-photon emission computed tomography myocardial perfusion imaging can identify patients at increased risk of sudden cardiac death (SCD).


RESULTS
We analyzed a cohort of 6383 patients with angiographically documented coronary artery disease who underwent single-photon emission computed tomography imaging. Cox proportional hazards modeling was used to examine the relationship between patient characteristics and SCD. Among patients who died, the median time to SCD was 2.7 years (25(th), 75(th) percentiles 0.9, 4.9, respectively). The incidence of SCD was 3.4% (n=215) over 6.1 years (25(th), 75(th) percentiles 3.7, 9.2, respectively) of follow-up. Patients with SCD had more severe heart failure symptoms, greater comorbidity (Charlson index), and higher summed stress perfusion scores (all P<0.001). After adjusting for left ventricular ejection fraction and other clinical factors in the multivariable model, the summed stress perfusion score (fixed plus reversible defects) remained significantly associated with the occurrence of SCD: summed stress perfusion score (hazard ratios per 3 U: 1.16 [95% CI, 1.08 to 1.25], P<0.001), left ventricular ejection fraction (hazard ratios per 5 U: 0.90 [95% CI, 0.85 to 0.95], P<0.001), and Charlson index (hazard ratios 1.35 [95% CI, 1.23 to 1.49], P<0.001).


CONCLUSIONS
Myocardial perfusion imaging is a significant predictor of SCD and provides information independent of clinical history and left ventricular ejection fraction. Gated single-photon emission computed tomography imaging, which evaluates both myocardial perfusion and function, may represent a more effective means of risk stratification than solitary left ventricular ejection fraction determination and should be evaluated in prospective trials.
Piccini
Jonathan P
JP
Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA.
Horton
John R
JR
Shaw
Linda K
LK
Al-Khatib
Sana M
SM
Lee
Kerry L
KL
Iskandrian
Ami E
AE
Borges-Neto
Salvador
S
D000368:Aged; D002318:Cardiovascular Diseases / Q000000981:diagnostic imaging* / Q000401:mortality / Q000503:physiopathology; D002423:Cause of Death; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging; D016757:Death, Sudden, Cardiac; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D055414:Myocardial Perfusion Imaging; D018570:Risk Assessment; D012307:Risk Factors; D016019:Survival Analysis; D015899:Tomography, Emission-Computed, Single-Photon