Eur J Heart Fail:可准确预测心衰患者死亡风险的机器学习风险评分

2021-03-29 MedSci原创 MedSci原创

准确评估患者的死亡风险是许多治疗决策过程中的重要组成部分。

心力衰竭(HF)指南建议根据左心室射血(LVEF)对患者进行分类。然而,死亡风险在每一类中都有很大差异,单个患者的死亡可能性往往是不确定的。准确评估患者的死亡风险是许多治疗决策过程中的重要组成部分。

Greenberg等研究人员评估了一种新开发的基于机器学习的风险评分,MARKER-HF,在预测三种指南定义的HF类别患者死亡率方面的准确性,以及其区分每一类别患者死亡风险的能力。

研究人员采用MARKER-HF评估了一个医院队列中4064例患者的死亡风险,这些患者被划分为LVEF降低组(HFrEF)、LVEF中段组(HFmrEF)和LVEF保留组(HFpEF)

MARKER-HF预测的各类HF患者的死亡风险

在预测死亡率方面,MARKER-HF的准确性明显高于LVEF,而且在所有三种HF类别中都非常准确,c-统计量在0.83到0.89之间。此外,MARKER-HF准确区分了根据指南划分的每一类HF中高、中、低死亡风险水平的患者。

综上,MARKER-HF能准确预测采用管理建议指南划分的三类HF患者的死亡率,并可将每一类患者都再细化出高、中、低死亡风险。MARKER-HF死亡风险预测应该有助于提供旨在减轻这种风险的治疗的建议,特别是当这些治疗成本高昂或与不良事件相关时。

原始出处:

Greenberg Barry,Adler Eric,Campagnari Claudio et al. A Machine Learning Risk Score Predicts Mortality Across the Spectrum of Left Ventricular Ejection Fraction. Eur J Heart Fail, 2021, https://doi.org/10.1002/ejhf.2155

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    2021-03-31 zhaojie88
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  5. 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topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b0ad5474507, createdName=ms9000001195231403, createdTime=Mon Mar 29 21:33:29 CST 2021, time=2021-03-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=952147, encodeId=402495214e97, content=受益匪浅, beContent=null, objectType=article, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210601/76c7398f9c964a0e933f0a6486f81485/65868560672648cb909fbfaed0739b15.jpg, createdBy=77ea5438296, createdName=ms1000000502953752, createdTime=Mon Mar 29 21:25:34 CST 2021, time=2021-03-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=952111, encodeId=65c3952111bb, content=好文章!, beContent=null, objectType=article, channel=null, level=null, likeNumber=80, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, 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    2021-03-31 slcumt
  6. 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  7. 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    2021-03-30 ms6000001788074613

    机器学习,三种指南评价

    0

  8. 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topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b0ad5474507, createdName=ms9000001195231403, createdTime=Mon Mar 29 21:33:29 CST 2021, time=2021-03-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=952147, encodeId=402495214e97, content=受益匪浅, beContent=null, objectType=article, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210601/76c7398f9c964a0e933f0a6486f81485/65868560672648cb909fbfaed0739b15.jpg, createdBy=77ea5438296, createdName=ms1000000502953752, createdTime=Mon Mar 29 21:25:34 CST 2021, time=2021-03-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=952111, encodeId=65c3952111bb, content=好文章!, beContent=null, objectType=article, channel=null, level=null, likeNumber=80, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Mon Mar 29 17:18:01 CST 2021, time=2021-03-29, status=1, ipAttribution=)]
    2021-03-29 ms9000001195231403

    学到了!谢谢

    0

  9. 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authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Mon Mar 29 17:18:01 CST 2021, time=2021-03-29, status=1, ipAttribution=)]
    2021-03-29 ms1000000502953752

    受益匪浅

    0

  10. 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topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b0ad5474507, createdName=ms9000001195231403, createdTime=Mon Mar 29 21:33:29 CST 2021, time=2021-03-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=952147, encodeId=402495214e97, content=受益匪浅, beContent=null, objectType=article, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210601/76c7398f9c964a0e933f0a6486f81485/65868560672648cb909fbfaed0739b15.jpg, createdBy=77ea5438296, createdName=ms1000000502953752, createdTime=Mon Mar 29 21:25:34 CST 2021, time=2021-03-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=952111, encodeId=65c3952111bb, content=好文章!, beContent=null, objectType=article, channel=null, level=null, likeNumber=80, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Mon Mar 29 17:18:01 CST 2021, time=2021-03-29, status=1, ipAttribution=)]
    2021-03-29 jyzxjiangqin

    好文章!

    0

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