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Independent Risk Factors for Progression of Coronary Atherosclerosis in Hemodialysis Patients
Author(s) -
Hase Hiroki,
Joki Nobuhiko,
Ishikawa Hiroyasu,
Saijyo Tomokatsu,
Tanaka Yuri,
Takahashi Yasunori,
Inishi Yoji,
Imamura Yoshihiko,
Nakamura Masato,
Moroi Masao
Publication year - 2006
Publication title -
therapeutic apheresis and dialysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.415
H-Index - 53
eISSN - 1744-9987
pISSN - 1744-9979
DOI - 10.1111/j.1744-9987.2006.00384.x
Subject(s) - medicine , hemodialysis , cardiology , coronary artery disease , perfusion , myocardial perfusion imaging , acute coronary syndrome , myocardial infarction
  Not uncommonly, hemodialysis patients with normal results in myocardial perfusion tests can still have a cardiac event within 2 years of evaluation. We examined possible risk factors for progression of coronary atherosclerosis in hemodialysis patients. We prospectively evaluated ability of myocardial perfusion imaging carried out under pharmacologic stress to predict 2‐year outcomes in 77 hemodialysis patients, specifically thallium‐201 single‐photon emission computed tomography (SPECT) using high‐dose adenosine triphosphate as the stressor. The primary end‐point was a cardiac event (cardiac death, non‐fatal acute coronary syndrome, or hospitalization for acute ischemic heart failure). Factors independently influencing duration until a cardiac event in hemodialysis patients were identified using stepwise multiple regression analysis. Myocardial perfusion defects were shown in 36 patients. Patients with a perfusion defect were more likely to have cardiac events than those with normal perfusion (78% vs. 15%, P  < 0.001). Time until occurrence of a cardiac event in hemodialysis patients showed a significant, independent association with known coronary artery disease [regression coefficient (RC) = −3.391, P  = 0.046], elevated C‐reactive protein (RC = −5.813, P  = 0.005), and a reversible myocardial perfusion defect (RC = −7.386, P  < 0.001). An analysis based on the ‘best cut‐off’ of CRP as identified on the basis of the ROC curve augmented the positive and negative predict value of CRP for the prediction of coronary events to 65 and 74%, respectively. Myocardial perfusion SPECT and measuring the plasma concentration of CRP might be useful for the prediction of hemodialysis patients with progression of coronary atherosclerosis.

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