Koz Cem, Baysan Oben, Hasimi Adnan, Cihan Murat, Uzun Mehmet, Yokusoglu Mehmet, Sag Cemal, Isik Ersoy
Gulhane Military Medical School, Department of Cardiology, Ankara, Turkey.
Acta Cardiol. 2008 Oct;63(5):623-8. doi: 10.2143/AC.63.5.2033231.
Individual risk factors and, more importantly, global risk assessment tools such as the Framingham risk score have been used successfully for risk prediction especially in older patients. However, there is paucity of data about the coronary heart disease prediction in premature coronary artery disease patients with a low Framingham risk score.
We recruited 102 consecutive young patients without hypertension and diabetes mellitus in the study. All subjects had had chest pain and underwent coronary angiography since non-invasive diagnostic test results suggested ischaemia. Forty-five patients having at least one coronary lesion independent of severity were included in the study group.The remaining fifty-seven subjects without any coronary lesion were used as control group. Conventional and non-conventional risk factors were evaluated both in patients and control subjects. Framingham risk score and absolute 10-year hard CHD events risk were also calculated for each individual. The coronary heart disease group had a significantly higher smoking frequency as compared to the control group.They also had higher plasma levels of triglycerides, apolipoprotein B and apo B/AI ratio but a smaller LDL particle size.We failed to find any independent CHD predictor after logistic regression analysis. However, individual ROC curve analysis of risk factors revealed that apolipoprotein B, triglycerides and apo B/AI ratio have the highest area under the curve for coronary artery disease prediction.
The Framingham risk score may underestimate the true risk of an individual. Incorporating non-conventional risk factors such as apolipoprotein B and apo B/apo AI ratio may provide valuable information in these patients.
个体风险因素,更重要的是,诸如弗雷明汉风险评分等全球风险评估工具已成功用于风险预测,尤其是在老年患者中。然而,关于弗雷明汉风险评分较低的早发性冠状动脉疾病患者的冠心病预测数据较少。
我们在研究中招募了102名连续的无高血压和糖尿病的年轻患者。所有受试者均有胸痛症状,且由于无创诊断测试结果提示缺血而接受了冠状动脉造影。研究组纳入了45名至少有一处独立于严重程度的冠状动脉病变的患者。其余57名无任何冠状动脉病变的受试者作为对照组。对患者和对照受试者均评估了传统和非传统风险因素。还为每个个体计算了弗雷明汉风险评分和10年绝对硬冠心病事件风险。与对照组相比,冠心病组的吸烟频率明显更高。他们的血浆甘油三酯、载脂蛋白B和载脂蛋白B/载脂蛋白AI比值水平也更高,但低密度脂蛋白颗粒尺寸更小。逻辑回归分析后,我们未能找到任何独立的冠心病预测因子。然而,风险因素的个体ROC曲线分析显示,载脂蛋白B、甘油三酯和载脂蛋白B/载脂蛋白AI比值在预测冠状动脉疾病方面的曲线下面积最大。
弗雷明汉风险评分可能低估个体的真实风险。纳入载脂蛋白B和载脂蛋白B/载脂蛋白AI比值等非传统风险因素可能为这些患者提供有价值的信息。