QUANTITY OF CORONARY-ARTERY CALCIUM DETECTED BY ELECTRON-BEAM COMPUTED-TOMOGRAPHY IN ASYMPTOMATIC SUBJECTS AND ANGIOGRAPHICALLY STUDIED PATIENTS

Citation
Rb. Kaufmann et al., QUANTITY OF CORONARY-ARTERY CALCIUM DETECTED BY ELECTRON-BEAM COMPUTED-TOMOGRAPHY IN ASYMPTOMATIC SUBJECTS AND ANGIOGRAPHICALLY STUDIED PATIENTS, Mayo Clinic proceedings, 70(3), 1995, pp. 223-232
Citations number
19
Categorie Soggetti
Medicine, General & Internal
Journal title
ISSN journal
00256196
Volume
70
Issue
3
Year of publication
1995
Pages
223 - 232
Database
ISI
SICI code
0025-6196(1995)70:3<223:QOCCDB>2.0.ZU;2-D
Abstract
Objective: To determine the prevalence and quantity of coronary artery calcium (CAC) in asymptomatic subjects from the general population, t o identify asymptomatic subjects without risk factors for coronary art ery disease (CAD) with CAC scores in the top quartile of the distribut ion, and to compare CAC scores in patients who underwent angiography w ith percentiles in asymptomatic subjects of the same age and sex. Desi gn: We studied two samples from Rochester, Minnesota, which consisted of 772 asymptomatic subjects from the general population and 145 patie nts who underwent angiography, all of whom were 20 to 59 years of age. Methods: Asymptomatic subjects were classified on the basis of their CAD risk profile. All subjects in both study samples underwent electro n beam computed tomography. Age- and sex-specific calcium score percen tiles were calculated in the asymptomatic sample. Results: CAC prevale nce in the asymptomatic subjects was lower in female than in male subj ects and increased with advancing age. Of the asymptomatic sample, 8% had a low-risk profile with calcium scores in the top quartile of the distribution. More patients than expected in the angiography sample ha d calcium scores above the 50th through 95th score percentiles. Conclu sion: The quantity of CAC was substantially increased in patients who underwent angiography. Subjects with large amounts of CAC but without known CAD risk factors may be a valuable subset of the population to i nvestigate for previously unidentified CAD risk factors.