Chest:质子泵抑制剂在特发性肺纤维化中疗效分析

2020-09-02 MedSci原创 MedSci原创

在这项对IPF患者进行的大型研究中,服用PPI与较低的死亡率或住院率无关。服用PPI对IPF的益处可能不如某些研究推荐一样有效。

胃食管反流疾病是特发性肺纤维化(IPF)的常见合并症,可能会促进其进展。质子泵抑制剂(PPI)等抗酸疗法已被视为IPF的潜在治疗手段。近日,呼吸领域权威杂志chest上发表了一篇研究文章,该研究旨在明确IPF患者使用PPI治疗是否会降低全因死亡率、呼吸相关死亡率和呼吸相关住院率。

研究人员使用英国临床实践研究数据链来确定2003年至2016年之间被诊断为IPF的患者队列。研究人员使用Cox模型估算死亡和与呼吸有关的住院风险比(HR)和95%置信区间(CI),并通过加权逆概率对信息审查进行校正。

在IPF患者队列中,有1852名PPI服用者和1852名相匹配的未服用者,中位生存期为2.8年(死亡率为每100名患者每年有26.7人)。与PPI未服用者相比,PPI服用者全因死亡率的HR为1.07(95%CI为0.94-1.22)。对于呼吸相关死亡率的HR为1.10(95%CI为0.94-1.28),呼吸相关住院的HR为1.00(95%CI为0.86-1.16)。

由此可见,在这项对IPF患者进行的大型研究中,服用PPI与较低的死亡率或住院率无关。服用PPI对IPF的益处可能不如某些研究推荐一样有效。

原始出处:

Tanja Tran.et al.Effectiveness of proton pump inhibitors in idiopathic pulmonary fibrosis: a population-based cohort study.chest.2020.https://journal.chestnet.org/article/S0012-3692(20)34310-5/fulltext

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time=2020-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=882265, encodeId=3b0c882265fb, content=阅读, beContent=null, objectType=article, channel=null, level=null, likeNumber=116, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=c3282551952, createdName=12543f43m99暂无昵称, createdTime=Wed Sep 02 21:13:37 CST 2020, time=2020-09-02, status=1, ipAttribution=)]
    2021-08-19 Smile2680
  5. 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time=2020-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=882265, encodeId=3b0c882265fb, content=阅读, beContent=null, objectType=article, channel=null, level=null, likeNumber=116, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=c3282551952, createdName=12543f43m99暂无昵称, createdTime=Wed Sep 02 21:13:37 CST 2020, time=2020-09-02, status=1, ipAttribution=)]
    2020-12-15 lifefamily

    #质子泵抑制剂##特发性肺纤维化#,是一种潜在的治疗手段

    0

  6. 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time=2020-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=882265, encodeId=3b0c882265fb, content=阅读, beContent=null, objectType=article, channel=null, level=null, likeNumber=116, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=c3282551952, createdName=12543f43m99暂无昵称, createdTime=Wed Sep 02 21:13:37 CST 2020, time=2020-09-02, status=1, ipAttribution=)]
    2021-07-28 jklm09
  7. 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time=2020-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=882265, encodeId=3b0c882265fb, content=阅读, beContent=null, objectType=article, channel=null, level=null, likeNumber=116, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=c3282551952, createdName=12543f43m99暂无昵称, createdTime=Wed Sep 02 21:13:37 CST 2020, time=2020-09-02, status=1, ipAttribution=)]
  8. 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attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=xinxin088, createdTime=Fri Jan 29 00:02:07 CST 2021, time=2021-01-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=882368, encodeId=7c4f882368da, content=学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=100, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=64245268311, createdName=14818eb4m67暂无昵称, createdTime=Thu Sep 03 08:13:52 CST 2020, time=2020-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1032635, encodeId=939c1032635de, content=谢谢梅斯提供这么好的信息,学到很多, beContent=null, objectType=article, channel=null, level=null, likeNumber=45, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=内科新手, createdTime=Thu Sep 03 00:02:07 CST 2020, time=2020-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=882265, encodeId=3b0c882265fb, content=阅读, beContent=null, objectType=article, channel=null, level=null, likeNumber=116, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=c3282551952, createdName=12543f43m99暂无昵称, createdTime=Wed Sep 02 21:13:37 CST 2020, time=2020-09-02, status=1, ipAttribution=)]
    2020-09-03 14818eb4m67暂无昵称

    学习

    0

  9. 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time=2020-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=882265, encodeId=3b0c882265fb, content=阅读, beContent=null, objectType=article, channel=null, level=null, likeNumber=116, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=c3282551952, createdName=12543f43m99暂无昵称, createdTime=Wed Sep 02 21:13:37 CST 2020, time=2020-09-02, status=1, ipAttribution=)]
    2020-09-03 内科新手

    谢谢梅斯提供这么好的信息,学到很多

    0

  10. 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    2020-09-02 12543f43m99暂无昵称

    阅读

    0

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