title: Assessment of coronary artery calcification in hemodialysis patients using multi-detector spiral CT scan.
abstract: Cardiovascular disease in association with coronary artery calcification (CAC) is the leading cause of death in patients with end-stage renal disease (ESRD). The evaluation of CAC has been performed by electron beam CT scan. The purpose of the present study was to assess CAC using multi-detector spiral CT (MDCT) and to evaluate contributors to CAC in these patients. Fifty-three patients on chronic hemodialysis participated in this study. Their mean age was 61.0+/-9.6 years, and the mean duration of dialysis therapy was 6.7+/-5.4 years. We used an automatic device to measure arterial pulse wave velocity (PWV) as an index of arterial wall stiffness. The aortic calcification index (ACI) was quantified morphometrically by CT scan. The CAC score correlated positively with ACI score (r =0.863, p <0.0001). Linear regression analysis indicated that the CAC scores correlated positively with age (r =0.406, p =0.0023), C-reactive protein (r =0.38, p =0.0047) and PWV (r =0.303, p =0.0271). Stepwise regression analysis indicated that ACI (beta-coefficient=0.862, p <0.0001) and arterial PWV (beta-coefficient=0.303, p <0.0001) were independently associated with CAC score. The mean CAC score of patients with cardiac events (2,568.5+/-2,575.1 mm3) was significantly higher than that (258.0+/-409.2 mm3) of patients without cardiac events. In conclusion, our results showed clearly that assessment of CAC score using MDCT may be predictive for detecting the presence of coronary artery disease. CAC is indirectly associated with increased arterial stiffness and the extent of aortic calcification in hemodialysis patients. We did not find a significant correlation between CAC score and parameters of mineral metabolism, including serum levels of calcium, phosphorus and parathyroid hormone. A longitudinal prospective study is required to assess the predictive value of this technique in determining cardiac events in large numbers of hemodialysis patients.
authors.affiliation: Department of Medicine, Kidney Center, Tokyo Women's Medical University, Japan. nitta@kc.twmu.ac.jp
authors.forename: Kosaku
authors.initials: K
authors.lastname: Nitta
authors.forename: Takashi
authors.initials: T
authors.lastname: Akiba
authors.forename: Koichi
authors.initials: K
authors.lastname: Suzuki
authors.forename: Keiko
authors.initials: K
authors.lastname: Uchida
authors.forename: Tetsuya
authors.initials: T
authors.lastname: Ogawa
authors.forename: Kazuhiro
authors.initials: K
authors.lastname: Majima
authors.forename: Ryo-ichiro
authors.initials: R
authors.lastname: Watanabe
authors.forename: Takanao
authors.initials: T
authors.lastname: Aoki
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Nihei
mesh_terms: D000368:Aged; D000787:Angina Pectoris / Q000000981:diagnostic imaging / Q000473:pathology; D002114:Calcinosis / Q000000981:diagnostic imaging* / Q000473:pathology; D003331:Coronary Vessels / Q000473:pathology*; D005260:Female; D006801:Humans; D007676:Kidney Failure, Chronic / Q000150:complications* / Q000628:therapy; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000000981:diagnostic imaging / Q000473:pathology; D006435:Renal Dialysis; D012598:Sclerosis; D014057:Tomography, X-Ray Computed / Q000379:methods*