Development of a model for prediction of coronary atherosclerotic regression: evaluation of high-density lipoprotein cholesterol level and peripheral blood monocyte count

作者:Tani Shigemasa*; Matsumoto Michiaki; Anazawa Takeo; Kawamata Hirofumi; Furuya Shingo; Takahashi Hiroshi; Iida Kiyoshi; Washio Takehiko; Kumabe Narimichi; Kobori Masashi; Nagao Ken; Hirayama Atsushi
来源:Heart and Vessels, 2012, 27(2): 143-150.
DOI:10.1007/s00380-011-0130-8

摘要

Monocytes and high-density lipoprotein cholesterol (HDL-C) play important roles in the process of coronary atherosclerosis. We hypothesized that a reasonable predictive model of coronary plaque regression might be constructed using the change in the peripheral monocyte count and the serum HDL-C level. The plaque volume, as assessed by volumetric intravascular ultrasound, was measured at the baseline and after 6 months of pravastatin therapy in 114 patients with coronary artery disease. After 6 months of pravastatin therapy, a significant decrease of the plaque volume by 9.9% (p %26lt; 0.0001, vs. baseline) was observed; furthermore, a corresponding increase of the serum HDL-C level and decrease of the peripheral blood monocyte count were also seen (12.5%, p %26lt; 0.01 and -7.3%, p %26lt; 0.0001). In a multivariate regression analysis using the serum lipids and traditional risk factors as the covariates, the increase in the serum HDL-C (beta -0.56, p %26lt; 0.0001) and the decrease in monocyte count (beta 0.23, p = 0.03) were identified as independent predictors of the plaque regression. A model for the prediction of plaque regression according to whether the achieved the change in (Delta) monocyte count and Delta HDL-C were above or below the median values was prepared. Among the four groups, the group with Delta HDL-C a parts per thousand yen8.8% and Delta monocyte count a parts per thousand currency signa%26apos;8.6% showed the largest plaque regression (-20.4%), and the group with Delta HDL-C %26lt; 8.8% and Delta monocyte count %26gt;-8.6% showed the increase of the plaque volume (2.6%). In view of the inflammatory nature of atherosclerosis, the model constructed using the two predictors may be a useful model for the prediction of plaque regression.

  • 出版日期2012-3