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The difference of risk factors predicting cardiac events in patients with chronic kidney disease between with and without diabetes

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ObjectiveChronic kidney disease (CKD) and diabetes are both associated with cardiovascular disease, but the effects of diabetes in patients with CKD remain unknown. This study aimed to compare the risk… Click to show full abstract

ObjectiveChronic kidney disease (CKD) and diabetes are both associated with cardiovascular disease, but the effects of diabetes in patients with CKD remain unknown. This study aimed to compare the risk factors of cardiac events between patients with CKD accompanied and not by diabetes using myocardial perfusion imaging.MethodsWe initially classified 529 patients with CKD from the Japanese Assessment of Cardiac Events and Survival Study-3 (J-ACCESS-3) study who had been assessed by gated single-photon emission-computed tomography based on whether they had diabetes (nā€‰=ā€‰220) or not (nā€‰=ā€‰309) and then separated them into four subgroups based on the ejection fraction (EF) calculated by quantitative gated SPECT. After 3-year follow-up, the incidence of major cardiac events (cardiac death, sudden death, non-fatal myocardial infarction, and heart failure requiring hospitalization), risk factors among each group, and the ability of myocardial perfusion image to predict prognosis were evaluated.ResultsMajor cardiac events occurred in 12.7% and 10.3% of patients with and without diabetes (not significant), and heart failure requiring hospitalization was the most frequent (75% and 78%, respectively) in both groups. Event-free survival rates were lower in the subgroups with low EF and high summed stress scores (SSS). Independent risk factors comprised currently smoking and a higher SSS, among patients with diabetes, while higher left ventricular end diastolic volumes and serum C-reactive protein values among those without diabetes.ConclusionsIn patients with CKD, while the risk factors of major cardiac events differ between in patients with and without diabetes, quantitation with gated MPI could be used effectively in both groups.

Keywords: without diabetes; cardiac events; risk factors; kidney disease

Journal Title: Annals of Nuclear Medicine
Year Published: 2019

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