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培养阴性的人工关节周围感染

Culture-negative periprosthetic joint infections.

作者信息

Palan Jeya, Nolan Ciaran, Sarantos Kostas, Westerman Richard, King Richard, Foguet Pedro

机构信息

Leeds Teaching Hospitals NHS Trust, Chapel Allerton Hospital, Leeds, UK.

出版信息

EFORT Open Rev. 2019 Oct 7;4(10):585-594. doi: 10.1302/2058-5241.4.180067. eCollection 2019 Oct.

Abstract

Culture-negative periprosthetic joint infections (CN-PJI) pose a significant challenge in terms of diagnosis and management. The reported incidence of CN-PJI is reported to be between 7% and 15%.Fungi and mycobacterium are thought to be responsible for over 85% of such cases with more fastidious bacteria accounting for the rest.With the advent of polymerase chain reaction, mass spectrometry and next generation sequencing, identifying the causative organism(s) may become easier but such techniques are not readily available and are very costly.There are a number of more straightforward and relatively low-cost methods to help surgeons maximize the chances of diagnosing a PJI and identify the organisms responsible.This review article summarizes the main diagnostic tests currently available as well as providing a simple diagnostic clinical algorithm for CN-PJI. Cite this article: 2019;4:585-594. DOI: 10.1302/2058-5241.4.180067.

摘要

培养阴性的人工关节周围感染(CN-PJI)在诊断和治疗方面构成了重大挑战。据报道,CN-PJI的发病率在7%至15%之间。真菌和分枝杆菌被认为是此类病例中超过85%的病因,其余病例则由更难培养的细菌引起。随着聚合酶链反应、质谱分析和下一代测序技术的出现,确定病原体可能会变得更容易,但这些技术并不容易获得且成本非常高。有许多更直接且成本相对较低的方法可帮助外科医生最大限度地提高诊断PJI的几率并识别病原体。这篇综述文章总结了目前可用的主要诊断测试,并为CN-PJI提供了一个简单的诊断临床算法。引用本文:2019;4:585 - 594。DOI:10.1302/2058 - 5241.4.180067。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/6836077/763b3d22a258/eor-4-585-g001.jpg

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