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脉搏波速度、脉压和颈动脉或股动脉斑块数量可改善低危人群心血管死亡的预测。

Pulse wave velocity, pulse pressure and number of carotid or femoral plaques improve prediction of cardiovascular death in a population at low risk.

机构信息

Department of Epidemiology, Health Economics and Public Health, UMR-1027 INSERM Université de Toulouse, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.

出版信息

J Hum Hypertens. 2013 Sep;27(9):529-34. doi: 10.1038/jhh.2013.8. Epub 2013 Feb 21.

Abstract

The assessment of cardiovascular risk is uniformly recommended as a decision-support for therapies aimed at preventing cardiovascular diseases. Our objective was to determine the prognostic significance of vascular markers in apparently healthy subjects. Analyses were based on the Third Toulouse MONICA Survey (1995-1997) carried out in participants aged 35-64, from the general population of South-western France. Causes of death were obtained 14 years after inclusion. There were 1132 participants (51% men). Over the 14-year follow-up period, 61 deaths were recorded, 20% due to a cardiovascular cause. Adding pulse wave velocity (PWV) to Framingham Risk Score (FRS) improved the accuracy of the risk prediction model. The C-statistic increased from 0.76 (95% confidence interval (CI): 0.64-0.89) (FRS alone) to 0.79 (95% CI: 0.64-0.95) (FRS+PWV). The Integrated Discrimination Improvement (IDI) reached 3.81% (P-value<0.001) and the net reclassification improvement (NRI) was equal to 32%. Risk prediction was also improved by integrating pulse pressure (PP) in the model (C-statistic=0.81 (95% CI: 0.66-0.96); IDI=4.99% (P-value<0.001); NRI=30%) or the number of carotid or femoral atherosclerotic plaques (C-statistic=0.78 (95% CI: 0.63-0.93); IDI=2.21% (P-value<0.001); NRI=21%). Vascular markers are independent determinants of cardiovascular mortality in apparently healthy subjects and improve risk prediction.

摘要

心血管风险评估被一致推荐作为预防心血管疾病治疗的决策支持。我们的目的是确定血管标志物在看似健康的受试者中的预后意义。分析基于在法国西南部一般人群中进行的第三次图卢兹 MONICA 调查(1995-1997 年),参与者年龄为 35-64 岁。在纳入后 14 年内获得死亡原因。共有 1132 名参与者(51%为男性)。在 14 年的随访期间,记录了 61 例死亡,其中 20%死于心血管原因。将脉搏波速度(PWV)添加到弗雷明汉风险评分(FRS)中提高了风险预测模型的准确性。C 统计量从 0.76(95%置信区间(CI):0.64-0.89)(单独 FRS)增加到 0.79(95%CI:0.64-0.95)(FRS+PWV)。综合判别改善(IDI)达到 3.81%(P 值<0.001),净重新分类改善(NRI)等于 32%。通过将脉搏压(PP)整合到模型中(C 统计量=0.81(95%CI:0.66-0.96);IDI=4.99%(P 值<0.001);NRI=30%)或颈动脉或股动脉粥样硬化斑块数量(C 统计量=0.78(95%CI:0.63-0.93);IDI=2.21%(P 值<0.001);NRI=21%),风险预测也得到改善。血管标志物是看似健康的受试者心血管死亡率的独立决定因素,并改善了风险预测。

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