Suppr超能文献

数字 PCR 在重症监护医学感染诊断和管理中的应用。

Digital PCR applications for the diagnosis and management of infection in critical care medicine.

机构信息

Group for Biomedical Research in Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca, (IBSAL), Paseo de San Vicente, 58-182, 37007, Salamanca, Spain.

Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012, Valladolid, Spain.

出版信息

Crit Care. 2022 Mar 21;26(1):63. doi: 10.1186/s13054-022-03948-8.

Abstract

Infection (either community acquired or nosocomial) is a major cause of morbidity and mortality in critical care medicine. Sepsis is present in up to 30% of all ICU patients. A large fraction of sepsis cases is driven by severe community acquired pneumonia (sCAP), which incidence has dramatically increased during COVID-19 pandemics. A frequent complication of ICU patients is ventilator associated pneumonia (VAP), which affects 10-25% of all ventilated patients, and bloodstream infections (BSIs), affecting about 10% of patients. Management of these severe infections poses several challenges, including early diagnosis, severity stratification, prognosis assessment or treatment guidance. Digital PCR (dPCR) is a next-generation PCR method that offers a number of technical advantages to face these challenges: it is less affected than real time PCR by the presence of PCR inhibitors leading to higher sensitivity. In addition, dPCR offers high reproducibility, and provides absolute quantification without the need for a standard curve. In this article we reviewed the existing evidence on the applications of dPCR to the management of infection in critical care medicine. We included thirty-two articles involving critically ill patients. Twenty-three articles focused on the amplification of microbial genes: (1) four articles approached bacterial identification in blood or plasma; (2) one article used dPCR for fungal identification in blood; (3) another article focused on bacterial and fungal identification in other clinical samples; (4) three articles used dPCR for viral identification; (5) twelve articles quantified microbial burden by dPCR to assess severity, prognosis and treatment guidance; (6) two articles used dPCR to determine microbial ecology in ICU patients. The remaining nine articles used dPCR to profile host responses to infection, two of them for severity stratification in sepsis, four focused to improve diagnosis of this disease, one for detecting sCAP, one for detecting VAP, and finally one aimed to predict progression of COVID-19. This review evidences the potential of dPCR as a useful tool that could contribute to improve the detection and clinical management of infection in critical care medicine.

摘要

在重症医学中,感染(无论是社区获得性还是医院获得性)是发病率和死亡率的主要原因。多达 30%的重症监护病房患者存在败血症。在严重社区获得性肺炎(sCAP)的驱动下,败血症的很大一部分病例都是如此,而在 COVID-19 大流行期间,sCAP 的发病率急剧上升。重症监护病房患者的常见并发症是呼吸机相关性肺炎(VAP),影响所有接受通气治疗的患者的 10-25%,以及血流感染(BSI),影响约 10%的患者。这些严重感染的管理带来了一些挑战,包括早期诊断、严重程度分层、预后评估或治疗指导。数字 PCR(dPCR)是一种下一代 PCR 方法,它具有许多技术优势,可以应对这些挑战:与实时 PCR 相比,它受 PCR 抑制剂的影响较小,因此具有更高的灵敏度。此外,dPCR 具有高度的可重复性,并提供无需标准曲线的绝对定量。本文综述了 dPCR 在重症医学感染管理中的应用的现有证据。我们纳入了涉及危重症患者的 32 篇文章。23 篇文章集中于微生物基因的扩增:(1)4 篇文章探讨了血液或血浆中细菌的鉴定;(2)1 篇文章使用 dPCR 检测血液中的真菌;(3)另一篇文章专注于其他临床样本中细菌和真菌的鉴定;(4)3 篇文章使用 dPCR 检测病毒;(5)12 篇文章通过 dPCR 量化微生物负荷来评估严重程度、预后和治疗指导;(6)2 篇文章使用 dPCR 研究 ICU 患者的微生物生态。其余 9 篇文章使用 dPCR 来描述宿主对感染的反应,其中 2 篇用于脓毒症的严重程度分层,4 篇侧重于改善这种疾病的诊断,1 篇用于检测 sCAP,1 篇用于检测 VAP,最后 1 篇用于预测 COVID-19 的进展。本综述证明了 dPCR 作为一种有用工具的潜力,它可以有助于提高重症医学中感染的检测和临床管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c28e/8935808/9992af18c413/13054_2022_3948_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验