Coronary Artery Calcium Score as a Predictor of Coronary Stenosis in Patients with Diabetes Mellitus
| Autor: | Yuji Nishizaki, Hiroyuki Daida, Eriko Matsunaga, Seigo Itou, Takayuki Yokoyama, Katsumi Miyauchi, Ryouko Kinoshita |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
medicine.medical_specialty
business.industry nutritional and metabolic diseases Lumen (anatomy) CAD medicine.disease Coronary artery disease Stenosis Internal medicine Diabetes mellitus cardiovascular system medicine Cardiology Cutoff In patient cardiovascular diseases Radiology business Cause of death |
| Zdroj: | Journal of the Japanese Coronary Association. 18:122-129 |
| ISSN: | 1341-7703 |
| Popis: | Background: Coronary artery calcium is a superb marker for atherosclerosis. Measurement of the coronary artery calcium score (CACS), using computed tomography (CT), is useful for evaluating of coronary artery disease (CAD). CAD is the most frequent cause of death and morbidity in patients with diabetes. In Western countries, a CACS >400 in patients with diabetes is a strong predictor of CAD. However, the optimal CACS cutoff point for patients with diabetes, especially in the Japanese population, is unclear. Methods: We enrolled 304 patients (188 male, mean age 64.0±11.4 years, DM n=116) who underwent 64-slice multidetector CT coronary angiography to evaluate of CAD. The CACS was calculated with the Agatston method and divided into seven categories: 0, 1 to 10, 11 to 100, 101 to 200, 201 to 400, 401 to 1000, and >1000. Significant stenosis was defined as ≥50% lumen reduction. The correlation between severity of CAD and each category of the CACS was evaluated. Results: We found a strong correlation between severity of CAD and the CACS (P 100 was the appropriate cutoff for recommending evaluation of CAD in both diabetics and non-diabetics. Conclusions: The CACS can be used to predict significant coronary stenosis in patients with diabetes, with a cutoff point of CACS >100 for recommending evaluation of CAD in both diabetics and non-diabetics. |
| Databáze: | OpenAIRE |
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