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- Title
Use of multidetector computed tomography for evaluating coronary artery disease in patients undergoing dialysis.
- Authors
MOO YONG PARK; SOO JEONG CHOI; JIN KUK KIM; SEUNG DUK HWANG; JON SUH; HYE SUN SEO; DONG HUN KIM
- Abstract
Cardiovascular disease is the most common cause of death in patients undergoing dialysis. The accuracy of multidetector computed tomography (MDCT) for detecting coronary disease has not been determined, and little information is available regarding the performance of MDCT in patients undergoing dialysis. Twenty-nine patients undergoing dialysis were analyzed and MDCT and coronary angiography (CAng) were performed consecutively. The coronary arteries were divided into four segments for analysis. We compared the significant stenosis lesions (≥50% luminal narrowing) identified by MDCT with those found by CAng. The total coronary artery calcium (CAC) score was determined by summing the individual lesion scores from each of the coronary branches. One hundred and sixteen coronary artery branches in 29 patients were analyzed. The sensitivity, specificity, and positive and negative predictive values of MDCT for detecting significant coronary artery stenosis (≥50% stenosis) were 68%, 94%, 71% and 93%, respectively. The CAC scores were significantly higher in subjects with coronary artery disease (CAD) (514.0 ± 493.6 vs 254.3 ± 375.3, P = 0.05). The severe CAC score (>500) was related to the presence of significant CAD ( P = 0.05) and the sensitivity and specificity for detecting significant CAD were 50% and 80%, respectively. MDCT is a useful and non-invasive approach for detecting or excluding CAD in patients undergoing dialysis. Computed tomography coronary angiography in dialysis patients, as in the general population, is particularly useful to rule out significant coronary artery disease - as shown in this paper which compares computed tomography to conventional angiography.
- Subjects
CARDIOVASCULAR diseases; HEMODIALYSIS patients; CAUSES of death; TOMOGRAPHY; CORONARY arteries; ANGIOGRAPHY
- Publication
Nephrology, 2011, Vol 16, Issue 3, p285
- ISSN
1320-5358
- Publication type
Article
- DOI
10.1111/j.1440-1797.2010.01393.x