概括
脚臂指数 (ABI) 可以改善心血管疾病风险预测. 与弗雷明汉风险评分 (FRS) 一起测量ABI有助于更准确地识别高风险个体.
科学领域:
- 心血管医学 心血管医学
- 流行病学 流行病学
- 风险预测建模风险预测建模
背景情况:
- 目前的心血管疾病 (CVD) 风险预测模型在识别高风险个体方面缺乏足够的准确性.
- 关节-关节指数 (ABI) 是动脉样硬化的指标,显示了提高风险预测的潜力.
- 现有的模型无法充分利用亚临床动脉样硬化标志物.
研究的目的:
- 评估脚-手臂指数 (ABI) 是否提供了超出弗雷明汉风险评分 (FRS) 的独立心血管风险信息.
- 确定ABI提高心血管事件和死亡风险预测的准确性的能力.
- 评估将ABI纳入现有风险分层工具的影响.
主要方法:
- 针对前性队列研究,对MEDLINE和EMBASE数据库进行了全面的文献搜索.
- 研究包括具有基线ABI测量和随访死亡率和心血管事件的一般人群.
- 对16项符合条件的研究的数据进行了个人参与者数据元分析,但不包括先前患有冠心病的研究.
主要成果:
- 这项研究分析了480,325人年中24955名男性和23339名女性的数据.
- 低ABI (<或=0.90) 与正常ABI (1.11-1.40) 相比,在男性和女性中,与显著更高的10年心血管死亡率有关.
- 将ABI纳入FRS重新分类了大约19%的男性和36%的女性的风险类别,可能会改变治疗建议.
结论:
- 测量脚-手臂指数 (ABI) 可以显著提高心血管风险预测的准确性.
- ABI提供了宝贵的预测信息,独立于FRS评估的传统风险因素.
- 常规的ABI测量可能有助于完善心血管风险分层和指导临床管理.
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