老年男性冠状动脉钙化积分多因素的Logistic回归分析

Multivariate Logistic regression analysis for the coronary artery calcification score in senile men

目的探讨多因素对老年男性冠状动脉钙化积分的影响。方法 采用非条件Logistic回归模型分析132例老年男性心脑血管病患者的血脂、微球蛋白尿、心脏彩超、颈动脉彩超和高血压等因素对冠状动脉钙化积分的影响。结果甘油三酯、微量白蛋白尿、左室重量指数、颈动脉粥样斑块、冠心病、高血压与冠状动脉钙化积分呈正相关;心脏指数与冠状动脉钙化积分呈负相关;与冠状动脉钙化积分联系的强度依次为颈动脉粥样斑块、高血压、冠心病、甘油三酯、左室重量指数、微量白蛋白尿。结论在老年男性,颈动脉粥样斑块、高血压为影响冠状动脉钙化的最强因素,微量白蛋白尿是动脉粥样硬化新的危险因素,心脏指数则是冠状动脉钙化的保护性因子。

Objective To investigate the multivariate influences on coronary artery calcification score (CACS) in senile men. Methods The factors were surveyed in 132 senile patients with cardiovascular diseases, and non-conditional Logistic regression model was used to analyze blood lipid, microalbuminuria (MAlb),left ventrticular mass index (LVMI),carotid arteriosclerosis, coronary heart disease (CHD) and essential hypertension (EH),etc.Results The triglyceride (TG).MAIb, LVMI, carotid arteriosclerosis, CHD and EH were positively correlated with CACS. While cardiac index was negatively correlated with CACS. The ordinal extent and severity of influential factors for CACS were the carotid arteriosclerosis, EH, CHD, TG, LVMI and MAlb successively. Conclusion The carotid arteriosclerosis and EH are the most important influential factors for CACS. MAlb is a new risk factor of atherosclerosis and cardiac index is a orotective factor for CACS.