Eur Heart J:SCORE风险预测模型中加入运动能力,效果将更优

2016-03-05 Mechront 译 MedSci原创

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背景:SCORE风险评估系统基于已知的心血管危险因素,对看似健康的成年人进行心血管风险分层。研究目的是为了探究,运动能力能否提高SCORE整体生存期风险评估的准确性。

方法和结果:研究纳入了22878名每年在三级医疗中心进行检查的无症状成年人。所有受试者均无已知缺血性心脏病,并根据布鲁斯协议完成了最大运动负荷试验。使用评分风险评估系统评估个人所有项的心血管风险。主要终点为死亡,排除术后随访中转移癌患者。通过NRI和AUROC评估运动能力预测死亡风险的增量贡献。

研究人群平均年龄为47.4 ± 10.3岁,71.6%为男性。平均随访9.2 ± 4.1年中,发生了505例(2.21%)死亡。Kaplan-Meier生存分析表明,SCORE和低运动能力与存活率降低有关。当添加SCORE风险预测,运动能力能够更精确的进行风险分层:NRI分析显示,分类精度总体改善了56.8%,AUROC分析下,也得到了全面改善(0.782 vs. 0.766)。

结论:SCORE和运动能力是全因死亡率的独立预测因子。添加运动能力到SCORE中,可提高模型的精确性。

原始出处:

Israel A, Kivity S,et al.Use of exercise capacity to improve SCORE risk prediction
model in asymptomatic adults
.Eur Heart J. 2016 Feb 24. pii: ehw053.


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    2016-03-07 zhaojie88
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    2016-03-07 docwu2019
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    2016-03-07 slcumt