Department of Public Health and Clinical Medicine, Umeå University and Heart Centre, Umeå, Sweden.
Department of Radiation Sciences, Biomedical Engineering, Umea University, Umeå, Sweden.
Atherosclerosis. 2016 Sep;252:32-39. doi: 10.1016/j.atherosclerosis.2016.07.906. Epub 2016 Jul 17.
The influence of gender and age on risk factor prediction of coronary artery calcification (CAC) in symptomatic patients is unclear.
From the European Calcific Coronary Artery Disease (EURO-CCAD) cohort, we retrospectively investigated 6309 symptomatic patients, 62% male, from Denmark, France, Germany, Italy, Spain and USA. All of them underwent risk factor assessment and CT scanning for CAC scoring.
The prevalence of CAC among females was lower than among males in all age groups. Using multivariate logistic regression, age, dyslipidaemia, hypertension, diabetes and smoking were independently predictive of CAC presence in both genders. In addition to a progressive increase in CAC with age, the most important predictors of CAC presence were dyslipidaemia and diabetes (β = 0.64 and 0.63, respectively) in males and diabetes (β = 1.08) followed by smoking (β = 0.68) in females; these same risk factors were also important in predicting increasing CAC scores. There was no difference in the predictive ability of diabetes, hypertension and dyslipidaemia in either gender for CAC presence in patients aged <50 and 50-70 years. However, in patients aged >70, only dyslipidaemia predicted CAC presence in males and only smoking and diabetes were predictive in females.
In symptomatic patients, there are significant differences in the ability of conventional risk factors to predict CAC presence between genders and between patients aged <70 and ≥70, indicating the important role of age in predicting CAC presence.
性别和年龄对有症状患者冠状动脉钙化(CAC)风险因素预测的影响尚不清楚。
我们回顾性地研究了来自丹麦、法国、德国、意大利、西班牙和美国的 6309 名有症状患者(62%为男性),他们均接受了风险因素评估和 CT 扫描 CAC 评分。
在所有年龄段中,女性 CAC 的患病率均低于男性。使用多变量逻辑回归,年龄、血脂异常、高血压、糖尿病和吸烟是两性 CAC 存在的独立预测因素。除了 CAC 随年龄的增加而逐渐增加外,预测 CAC 存在的最重要因素是男性的血脂异常和糖尿病(β分别为 0.64 和 0.63),其次是女性的糖尿病(β=1.08)和吸烟(β=0.68);这些相同的危险因素在预测 CAC 评分增加方面也很重要。在年龄<50 岁和 50-70 岁的患者中,糖尿病、高血压和血脂异常对 CAC 存在的预测能力在两性中没有差异。然而,在年龄>70 岁的患者中,只有血脂异常可预测男性的 CAC 存在,而吸烟和糖尿病可预测女性的 CAC 存在。
在有症状的患者中,传统风险因素预测 CAC 存在的能力在两性之间以及年龄<70 岁和≥70 岁的患者之间存在显著差异,这表明年龄在预测 CAC 存在方面的重要作用。