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Use of multidetector computed tomography for evaluating coronary artery disease in patients undergoing dialysis
- Source :
- Nephrology. 16:285-289
- Publication Year :
- 2011
- Publisher :
- Wiley, 2011.
-
Abstract
- Aim: 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. Methods: 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. Results: 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. Conclusion: MDCT is a useful and non-invasive approach for detecting or excluding CAD in patients undergoing dialysis.
- Subjects :
- medicine.medical_specialty
business.industry
medicine.medical_treatment
General Medicine
medicine.disease
Coronary artery disease
Coronary arteries
Stenosis
medicine.anatomical_structure
Nephrology
Internal medicine
Predictive value of tests
Positive predicative value
Severity of illness
cardiovascular system
Cardiology
medicine
cardiovascular diseases
Radiology
business
Dialysis
Artery
Subjects
Details
- ISSN :
- 13205358
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Nephrology
- Accession number :
- edsair.doi...........516d82778d57c7a9ed25c2a889bf5266