Woźnicka-Leśkiewicz L, Posadzy-Małaczyńska A, Juszkat R
Department of Hypertensiology, Angiology and Internal Medicine, Poznan University of Medical Sciences, Poznan, Poland.
Department of Family Medicine, Poznan University of Medical Sciences, Poznan, Poland.
J Hum Hypertens. 2015 Aug;29(8):502-10. doi: 10.1038/jhh.2014.80. Epub 2014 Sep 25.
The aim of the study was to evaluate the usefulness of ankle brachial index (ABI) and pulse wave velocity (PWV) in patients with or without coronary artery disease (CAD) and hypertension (HT) in cardiovascular risk prediction. We studied 200 patients randomized to one of four groups: CAD+HT+; CAD+HT-; CAD-HT+; CAD-HT- (Department of Hypertensiology, Angiology and Internal Diseases, Poznan, Poland: 2009-2012). We evaluated: patient age, lipids profile, ABI and PWV. The cardiovascular risks according to SCORE and Framingham scales were assessed. Statistical calculations were performed in StatSoft Statistica 10. The most interesting aspects of this study were: logistic regression model evaluated the simultaneously influence of ABI and PWV on cardiovascular risk by the SCORE scale and logistic regression model evaluated the influence of ABI and PWV on cardiovascular risk according to the Framingham scale. They showed the possibility (SCORE) of more accurate estimation of cardiovascular risk in an individual patient and graduation of this risk in the exemplary patients. Analysis of the assessment of both: ABI and PWV in predicting of cardiovascular risk according to SCORE and Framingham scales using a logistic regression model indicates that the Framingham scale is less precise than the SCORE scale because it underestimates the real high cardiovascular risk.
本研究的目的是评估踝臂指数（ABI）和脉搏波速度（PWV）在有或无冠状动脉疾病（CAD）及高血压（HT）患者心血管风险预测中的作用。我们研究了200例随机分为四组之一的患者：CAD+HT+；CAD+HT-；CAD-HT+；CAD-HT-（波兰波兹南高血压、血管病及内科：2009年至2012年）。我们评估了：患者年龄、血脂谱、ABI和PWV。根据SCORE和弗雷明汉量表评估心血管风险。在StatSoft Statistica 10中进行统计计算。本研究最有趣的方面是：逻辑回归模型通过SCORE量表评估ABI和PWV对心血管风险的同时影响，以及逻辑回归模型根据弗雷明汉量表评估ABI和PWV对心血管风险的影响。它们显示了在个体患者中更准确估计心血管风险的可能性（SCORE）以及在示例患者中对该风险进行分级的可能性。使用逻辑回归模型分析根据SCORE和弗雷明汉量表评估ABI和PWV在预测心血管风险方面的情况表明，弗雷明汉量表不如SCORE量表精确，因为它低估了实际的高心血管风险。
