Intens Care Med:鉴别脓毒性和非脓毒性SIRS的更佳标志物?

2018-09-01 杨中华 脑血管病及重症文献导读

全身炎症反应综合征(systemic inflammatory response syndrome,SIRS)是机体对感染、创伤、烧伤、手术以及缺血-再灌注等感染性或非感染性因素的严重损伤所产生的全身性的非特异性炎症反应。感染引起的SIRS称为脓毒症,每年1800万人患脓毒症,死亡率为35-55%。

全身炎症反应综合征(systemic inflammatory response syndrome,SIRS)是机体对感染、创伤、烧伤、手术以及缺血-再灌注等感染性或非感染性因素的严重损伤所产生的全身性的非特异性炎症反应。感染引起的SIRS称为脓毒症,每年1800万人患脓毒症,死亡率为35-55%。

细菌或真菌感染时,需要立即给予抗生素以降低死亡率。一旦确认为严重感染比如较高qSOFA评分或血乳酸水平,就应该尽早采取优化的抗生素治疗。单纯凭借临床信息很难发现脓毒症,因此希望借助生物学标记物诊断脓毒症,但是这些标志物并不是始终如一地与感染有关。研究最多的标志物包括降钙素原(PCT),C-反应蛋白(CRP),sTREM1,CD64,IL-6,IL-1ra等。研究发现CRP和PCT有助于减少抗生素使用。为了改善这些标志物的诊断精确性,几项研究试图研发生物学标志物制品(biomarker combinations),但是都未被确认。

这些研究结果的不一致可能是由于感染部位的差异、发病时的严重程度、致病微生物或种群。区分脓毒症和非脓毒症SIRS的生物学标志物将有助于减少抗生素使用,积极寻找其他致病因素。

2018年7月来自法国的Marianna Parlato等在Intensive Care Med上公布了CAPTAIN前瞻性多中心队列研究结果,目的在于评价不同生物学标志物区别脓毒性和非脓毒性SIRS的精确性。

CAPTAIN是前瞻性观察性多中心队列研究,共279例低体温或发热、并且符合SIRS诊断标准的ICU患者,此时主治医师打算给予抗生素治疗。

279例患者中91例为非脓毒性SIRS,188例为脓毒性SIRS。八种生物学标志物的ROC-AUC超过了0.6(95% CI超过0.5)。LASSO回归发现CRP和HLA-DRA mRNA与脓毒症反复(as being repeatedly)相关,没有任何模型优于单独CRP(ROC-AUC 0.76 [0.68–0.84])。

最终作者认为血生物学标志物无法精确区分脓毒性和非脓毒性SIRS,各种组合皆不优于单独CRP。

原始出处:
Marianna Parlato, François Philippart, Alexandra Rouquette, et al. Circulating biomarkers may be unable to detect infection at the early phase of sepsis in ICU patients: the CAPTAIN prospective multicenter cohort study. Intensive Care Med. 2018 Jul;44(7):1061-1070. 

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  5. 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time=2018-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=342442, encodeId=64d134244242, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Mon Sep 03 10:49:21 CST 2018, time=2018-09-03, status=1, ipAttribution=)]
    2018-09-03 仁心济世
  6. 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time=2018-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=342442, encodeId=64d134244242, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Mon Sep 03 10:49:21 CST 2018, time=2018-09-03, status=1, ipAttribution=)]
    2018-09-03 Y—xianghai

    学习了长知识

    0

  7. 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time=2018-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=342442, encodeId=64d134244242, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Mon Sep 03 10:49:21 CST 2018, time=2018-09-03, status=1, ipAttribution=)]
    2018-09-03 Y—xianghai

    学习了长知识

    0

  8. 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    2018-09-03 Y—xianghai

    学习了长知识

    0

  9. 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time=2018-09-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=342442, encodeId=64d134244242, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Mon Sep 03 10:49:21 CST 2018, time=2018-09-03, status=1, ipAttribution=)]
    2018-09-03 Y—xianghai

    学习了长知识

    0

  10. 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    2018-09-03 Y—xianghai

    学习了长知识

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