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). METHODS AND 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.
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). METHODS AND 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.
Authors: Fadi G Hage; Himanshu Aggarwal; Kanan Patel; Ji Chen; Arnold F Jacobson; Jaekyeong Heo; Ali Ahmed; Ami E Iskandrian Journal: J Nucl Cardiol Date: 2013-10-30 Impact factor: 5.952
Authors: Albert Juan Ramon; Yongyi Yang; Miles N Wernick; P Hendrik Pretorius; Karen L Johnson; Piotr J Slomka; Michael A King Journal: J Nucl Cardiol Date: 2018-11-07 Impact factor: 5.952
Authors: Ankur Gupta; Meagan Harrington; Christine M Albert; Navkaranbir S Bajaj; Jon Hainer; Victoria Morgan; Courtney F Bibbo; Paco E Bravo; Michael T Osborne; Sharmila Dorbala; Ron Blankstein; Viviany R Taqueti; Deepak L Bhatt; William G Stevenson; Marcelo F Di Carli Journal: JACC Clin Electrophysiol Date: 2018-07-25
Authors: Song Soo Kim; Sung Min Ko; Sang Il Choi; Bo Hwa Choi; Arthur E Stillman Journal: Int J Cardiovasc Imaging Date: 2016-05-02 Impact factor: 2.357