Risk stratification of cardiovascular events in patients at all stages of chronic kidney disease using myocardial perfusion SPECT.
BACKGROUND
Cardiovascular disease is the leading cause of death among patients with chronic kidney disease (CKD). Therefore, stratification of the prognostic risk of cardiovascular events is useful for their clinical management. We evaluated the ability of electrocardiogram (ECG)-gated myocardial perfusion single photon emission computed tomography (SPECT) to predict cardiac events among Japanese patients at all stages of CKD including those on hemodialysis.


METHODS
Patients with CKD undergoing ECG-gated myocardial perfusion SPECT to investigate suspected ischemic heart disease were followed up to monitor retrospectively major cardiac events including cardiac death, non-fatal myocardial infarction, and unstable angina pectoris. Summed stress score, summed rest score, and summed difference score were estimated with a 20 segment 5-point scoring model. The severity of CKD was divided into five levels based on estimated glomerular filtration rate (eGFR) revised for the Japanese population.


RESULTS
The follow-up period was 25.8 ± 11.0 months. Sixty-two major cardiac events (cardiac death, n=30; non-fatal myocardial infarction, n=13; unstable angina pectoris, n=19) developed in 2243 patients during the first year of follow-up. The findings of multivariate Cox proportional hazards regression analysis indicated that diabetes, eGFR, the summed difference score, and summed stress score were significant independent predictors of cardiac events. The major cardiac event rate at one year increased in proportion to the progression of CKD stage. The major cardiac event-free survival rate decreased steeply over time in patients with CKD stage 5 compared with those who had CKD stages 4 or less.


CONCLUSIONS
Myocardial perfusion SPECT can contribute to the prediction of cardiac events and survival in patients at all stages of CKD including those on hemodialysis.
Department of Cardiology, Nihon University School of Medicine, Tokyo, Japan. masteryoda@mf.point.ne.jp
Shunichi
S
Yoda
Kanae
K
Nakanishi
Ayako
A
Tano
Yuji
Y
Kasamaki
Satoshi
S
Kunimoto
Naoya
N
Matsumoto
Yuichi
Y
Sato
Atsushi
A
Hirayama
D000368:Aged; D055426:Cardiac-Gated Single-Photon Emission Computer-Assisted Tomography; D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000209:etiology*; D018572:Disease-Free Survival; D004562:Electrocardiography; D045468:Fallopia japonica; D005260:Female; D005500:Follow-Up Studies; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D055414:Myocardial Perfusion Imaging; D016016:Proportional Hazards Models; D006435:Renal Dialysis; D051436:Renal Insufficiency, Chronic / Q000150:complications* / Q000628:therapy; D012306:Risk; D018570:Risk Assessment / Q000379:methods*