Mahoney L T, Burns T L, Stanford W, Thompson B H, Witt J D, Rost C A, Lauer R M
Division of Pediatric Cardiology, Department of Pediatrics, College of Medicine, University of Iowa, Iowa City, Iowa 52242, USA.
Am J Cardiol. 2001 Sep 1;88(5):509-15. doi: 10.1016/s0002-9149(01)01728-3.
The value of a coronary artery disease prediction algorithm, the Framingham risk score (score), for detecting coronary artery calcium (CAC) was examined in 385 men and 472 women, aged 29 to 43 years. Scores were compared in subjects with and without CAC and were also used to predict presence of CAC. Receiver-operating characteristic curves were computed to compare different prediction models. The score model was compared with age only, natural logarithm of body mass index (lnBMI) only, and score plus lnBMI models. CAC was detected in 30% of men and 16% of women. The mean score was significantly higher in men and women with CAC. For every 2-point increase in the score, the odds of CAC increased by 30% in women and 20% in men. Significant associations between CAC status and risk factors were observed for age in women, and high- density lipoprotein cholesterol and blood pressure in men and women. The area under the receiver-operating characteristic curve for the score was 0.67 and 0.57 for women and men, respectively. When lnBMI was added to the score model, the area increased to 0.76 in women (lnBMI p <0.0001, score p <0.005). For men, the area increased from 0.57 to 0.67, and the score was no longer significant (p >0.60) in the model with lnBMI (p <0.0001). Score predicts CAC in asymptomatic young adults. Inclusion of lnBMI in the score model adds significantly to the prediction of CAC in women and men. The lnBMI model has a greater predictive value than the score in this young population.
在385名年龄在29至43岁的男性和472名女性中,对用于检测冠状动脉钙化(CAC)的冠心病预测算法——弗雷明汉风险评分(评分)的价值进行了研究。对有和没有CAC的受试者的评分进行了比较,并用于预测CAC的存在情况。计算了受试者工作特征曲线以比较不同的预测模型。将评分模型分别与仅年龄模型、仅体重指数自然对数(lnBMI)模型以及评分加lnBMI模型进行了比较。30%的男性和16%的女性检测出有CAC。有CAC的男性和女性的平均评分显著更高。评分每增加2分,女性患CAC的几率增加30%,男性增加20%。在女性中观察到CAC状态与年龄之间存在显著关联,在男性和女性中观察到CAC状态与高密度脂蛋白胆固醇和血压之间存在显著关联。评分的受试者工作特征曲线下面积在女性中为0.67,在男性中为0.57。当将lnBMI添加到评分模型中时,女性的曲线下面积增加到0.76(lnBMI p<0.0001,评分p<0.005)。对于男性,曲线下面积从0.57增加到0.67,在包含lnBMI的模型中评分不再具有显著性(p>0.60)(p<0.0001)。评分可预测无症状年轻成年人的CAC。在评分模型中纳入lnBMI可显著增强对男性和女性CAC的预测能力。在这个年轻人群中,lnBMI模型比评分具有更大的预测价值。