Coronary-artery calcium scores using electron beam CT in patients with chronic renal failure

Chan Duck Kim, Ji Hyung Cho, Hyuk Joon Choi, Min Hwa Jang, Hyeog Man Kwon, Jun Chul Kim, Sun Hee Park, Jong Min Lee, Dong Kyu Cho, Yong Lim Kim

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

We evaluated the risk of coronary-artery disease in patients with chronic renal failure (CRF) by measuring the coronary-artery calcium scores with electron beam CT (EBCT). A total of 81 CRF patients were divided into three groups; pre-dialysis (group I, n=35), hemodialysis (group II, n=31) and peritoneal dialysis (group III, n=15). The several serum biochemical markers and calcium score levels by EBCT were determined. The Ca x P products were significantly higher in groups II (p<0.05) and III (p<0.01) than in group I. The serum calcium levels were significantly higher in group III than in both group I (p<0.01) and II (p<0.05). The serum calcium level in 15 patients with a calcium score > 400 was significantly higher than the 66 patients with a score ≤400 (p<0.01). The calcium score was significantly higher in the 15 patients with cardiovascular complications than in the 66 patients without cardiovascular complications (628.9±904.8 vs. 150.4±350.9, p<0.01). EBCT seemed to be a good diagnostic tool for evaluating the risk of coronary-artery disease "noninvasively" in CRF patients who are at increased risk of cardiovascular morbidity and mortality.

Original languageEnglish
Pages (from-to)994-999
Number of pages6
JournalJournal of Korean Medical Science
Volume20
Issue number6
DOIs
StatePublished - Dec 2005

Keywords

  • Arteriosclerosis
  • Calcification, Physiologic
  • Coronary Vessels
  • Coronary-artery Calcium Score
  • Electron Beam CT (EBCT)
  • Kidney failure, Chronic
  • Parathyroid Hormone
  • Tomography, X-Ray Computed

Fingerprint

Dive into the research topics of 'Coronary-artery calcium scores using electron beam CT in patients with chronic renal failure'. Together they form a unique fingerprint.

Cite this