AP&T:心血管风险评分以及血小板体积在预测非酒精性脂肪性肝病患者心血管事件发生率中的作用

2019-03-13 不详 MedSci原创

动脉粥样硬化性心血管疾病是非酒精性脂肪性肝病(NAFLD)发病的关键原因,但目前尚缺乏预测主要急性心血管事件(MACE)的适当方法,因此,本项研究旨在在NAFLD患者中设计定制的心血管风险评分模型来预测此类事件发生的风险。

背景
动脉粥样硬化性血管疾病是非酒精性脂肪性肝病(NAFLD)发病的关键原因,但目前尚缺乏预测主要急性血管事件(MACE)的适当方法,因此,本项研究旨在在NAFLD患者中设计定制的心血管风险评分模型来预测此类事件发生的风险。

方法
研究人员回顾性分析2008-2016年间的356例患者进行模型建立,并前瞻性从2016-2017年的111例患者中进行了NAFLD队列的模型验证。所有患者入组时记录临床和生化数据,并且在MACE(心血管死亡,急性冠状动脉综合征,中风和短暂性脑缺血发作)之前一年记录平均血小板体积(MPV),Qrisk2和Framingham评分。

结果
推导和验证队列基线信息匹配良好,推导模型组与验证模型组的MACE患病率分别为12.6%和12%。在单变量分析中,年龄,糖尿病,晚期纤维化,胶原比例面积> 5%,MPV和肝硬度与MACE相关。多变量分析后,年龄,糖尿病和MPV仍然独立预测MACE。本项研究构建的模型截止值为-3.98,灵敏度为97%,特异性为27%,PPV为16%,NPV为99%。单独的MPV> 10.05给出灵敏度97%,特异性59%,PPV 24%和NPV 97%(AUROC 0.83)。在整个队列中,NAFLD CV风险评分和MPV均优于Qrisk2和Framingham评分。

结论
NAFLD CV风险评分和MPV能准确预测1年MACE发生风险。

原始出处:

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  5. 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  6. 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  7. 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