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目的:论颈动脉硬化(CAS)冠状动脉钙化(CAC)及下肢动脉硬化(uAs)与冠心痛(CHD)的相互联系以及这三种病分开或者成为一个整体来判断CHD的临床价值。方法:为了检测CAC、CAS及uAs等指标,通过机器对所选择的202例病患进行CT扫描胸部,观察所得影像,以便通过影像资料检查病症。CAC、CAS及uAs与CHD作Kendall等级相关分析。计算CAC、CAS及L各种组合预测CHD灵敏度、特异度、总正确率等指标。采用ROC曲线下面积的大小评价各种预测模型。结果:CAC、CAS及UAS均与冠状动脉狭窄程度成正相关,相关系数分另q为0.520、0.521、0.432。CAC与CAS、uAs二联或三联组合与其他预测模型差异有统计学意义(P<0.05)。CAC十CAS+uAs预测模型的ROC曲线下面积可迭0.834。结论:CAC、CAS及UAS与CHD密切相关。联合应用CAC、CAS及UAS预测CHD有较好的临床实用价值。
OBJECTIVE: To determine the association between carotid atherosclerosis (CAS) coronary artery calcification (CAC) and lower extremity atherosclerosis (uAs) and coronary heart disease (CHD) and to determine the clinical value of these three diseases separately or in combination. METHODS: In order to detect CAC, CAS, and uAs, CT scan of the selected 202 patients by machine was performed on the chest and the resulting images were observed for visualization of the condition. CAC, CAS and uAs and CHD for Kendall rank correlation analysis. Calculate the CAC, CAS and L combinations of various indicators to predict CHD sensitivity, specificity, total accuracy. Various prediction models were evaluated using the area under the ROC curve. Results: CAC, CAS and UAS were positively correlated with the degree of coronary artery stenosis. The correlation coefficients were q = 0.520,0.521,0.432. There was significant difference between CAC and CAS, uAs di- or triple combination with other prediction models (P <0.05). The area under the ROC curve of the CAC + CAS + uAs prediction model can be 0.834. Conclusion: CAC, CAS and UAS are closely related to CHD. Combined use of CAC, CAS and UAS predict CHD has a better clinical value.