Risk Factors Promoting Coronary Plaque Progression In China (RIPPER)

STUDY DESIGN This is a national multicenter retrospective study. Through reviewing angiography database in 20 CHD intervention centers of China. We will collect the data of 2400 patients with twice of coronary angiography as well as 12-24 months interval from Jun 2013 to Dec 2016. We will confirm the actual rate in the coronary plauqe progression of CHD patients in China as well as regression analysis to investigate the impact of different risk factors on the progression of coronary plaque, thus find the primary risk factors and rational strategy in secondary prevention. In this study, the included patients should not be replaced or withdrawal.

STUDY POPULATION 2,400 patients who are diagnosed with CHD and have received more than 2 times of coronary angiography within 12-24 months will be enrolled. If the number of angiography is more than 2 times. Patients who receive examination not in the same coronary intervention center will not be included.

STUDY DURATION It will take 12 months to collect data of 2,400 cases in 20 CHD intervention centers of China and following 9 months to compete QCA and risk factors analysis STUDY PROCESS The statistical analysis will include all the materials of cases. We will describe the basic history characteristics of patients, test parameters and the imaging characteristics of coronary angiography. Continuous variables will be described by number, mean, standard deviation (SD), median, minimum value and maximum value. Numeric variables with normal distribution will be described by mean and SD. Continuous variables will be compared by student test (normal distribution) and Wilcoxon rank sum test (skew distribution). Categorical variables (nominal variables/rank variables) will be described as frequency and percentage, which can be compared by Chi square test or Fisher exact test. Logistic multiple regression can be used to evaluate the risk factors of coronary disease progression in Chinese patients, among which the possible risk factors selection is based on clinical and statistical decision. Receiver operating characteristic(ROC) curve can be used to establish risk evaluation model of coronary disease progression and evaluate its value. The incomplete data will not be analyzed.

Data analysis will be processed by SPSS 13.0. All the analysis will be used the 2-side test or 2-side 95% confidence interval. There is statistical significance if 2-side P value is less than 0.05. This study will use descriptive analysis and finally report primary and secondary outcomes by graphics.