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This study was supported by grants from the Japan Cardiovascular Research Foundation.
This study aimed to validate the accuracy of major-event risk models created in the multicenter J-ACCESS prognostic study in a new cohort of patients with chronic kidney disease (CKD).
Three multivariable J-ACCESS risk models were created to predict major cardiac events (cardiac death, non-fatal acute coronary syndrome, and severe heart failure requiring hospitalization): Model 1, four variables of age, summed stress score, left ventricular ejection fraction and diabetes; Model 2 with five variables including estimated glomerular filtration rate (eGFR, continuous); and Model 3 with categorical eGFR. The validation data used three-year (3y) cohort of patients with CKD (n = 526, major events 11.2%). Survival analysis of low (< 3%/3y), intermediate (3% to 9%/3y), and high (> 9%/3y)-risk groups showed good stratification by all three models (actual event rates: 3.1%, 9.9%, and 15.9% in the three groups with eGFR ≥ 15 mL/min/1.73 m2, P = .0087 (Model 2). However, actual event rates were equally high across all risk groups of patients with eGFR < 15 mL/min/1.73 m2.
The J-ACCESS risk models can stratify patients with CKD and eGFR ≥ 15 mL/min/1.73 m2, but patients with eGFR < 15 mL/min/1.73 m2 are potentially at high risk regardless of estimated risk values.
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- Risk stratification based on J-ACCESS risk models with myocardial perfusion imaging: Risk versus outcomes of patients with chronic kidney disease
MD, PhD Kenichi Nakajima
MD, PhD Satoko Nakamura
MD, PhD Hiroki Hase
MD, PhD Yasuchika Takeishi
MD, PhD Shigeyuki Nishimura
MD, PhD Yuhei Kawano
MD, PhD Tsunehiko Nishimura
- Springer International Publishing
Journal of Nuclear Cardiology
Print ISSN: 1071-3581
Elektronische ISSN: 1532-6551
Neu im Fachgebiet Kardiologie
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