Probabilistic model for prediction of angiographically defined obstructive coronary artery disease using electron beam computed tomography calcium score strata.
نویسندگان
چکیده
BACKGROUND Electron beam CT (EBCT) is an accurate, noninvasive method to detect and quantify coronary artery calcification, a marker of coronary artery disease (CAD). This investigation examined the accuracy of EBCT to detect obstructive CAD (> or =50% stenosis) and determined the optimal strata for quantity of coronary artery calcification to facilitate clinical decision-making. METHODS AND RESULTS Clinical research patients (n=213) were examined with coronary angiography and EBCT (angiography group), and 765 research participants were examined with only EBCT (nonangiography group). Of the angiography group, 53% had obstructive CAD. After adjustment for verification bias, the estimated sensitivity and specificity for calcium score > or =1 were 97.0% and 72.4%, respectively. Likelihood ratios for strata of calcium score associated with obstructive CAD were calculated in each sex and 2 age groups. Among those > or =50 years old, the same 4 strata of EBCT calcium scores were identified in each sex; likelihood ratios ranged from 0.03 (calcium score 0) to 12.85 (calcium score > or =200). The same 3 strata EBCT calcium scores were identified in each sex among those <50 years old; likelihood ratios ranged from 0.13 (calcium score 0) to 190 (calcium score > or =100). CONCLUSIONS A calcium score > or =200 among those > or =50 years old and calcium score > or =100 among those <50 years old provided strong evidence that patients of either sex had obstructive CAD. A calcium score of 0 provided strong evidence that patients > or =50 years old did not have obstructive CAD.
منابع مشابه
Continuous probabilistic prediction of angiographically significant coronary artery disease using electron beam tomography.
BACKGROUND We sought to incorporate electron beam tomography-derived calcium scores in a model for prediction of angiographically significant coronary artery disease (CAD). Such a model could greatly facilitate clinical triage in symptomatic patients with no known CAD. METHODS AND RESULTS We examined 1851 patients with suspected CAD who underwent coronary angiography for clinical indications....
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OBJECTIVES We sought to model an algorithm for noninvasive identification of angiographically obstructive three-vessel and/or left main disease based on conventional cardiac risk assessment and site and extent of coronary calcium determined by electron-beam computed tomography (EBCT). BACKGROUND Such an algorithm would greatly facilitate clinical triage in symptomatic patients with no previou...
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ورودعنوان ژورنال:
- Circulation
دوره 102 4 شماره
صفحات -
تاریخ انتشار 2000