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Advances in the diagnosis of periprosthetic joint infection

机译:假体周围关节感染的诊断研究进展

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Introduction: Identification of periprosthetic joint infection (PJI) is critical, as the treatment between infected and non-infected arthroplasties is fundamentally different and missing the diagnosis may lead to a delay in diagnosis and the potential for a decreased rate of treatment success. Yet in the absence of a true gold standard, the diagnosis of PJI can be elusive. Given the rising incidence of this PJI and the growing infection burden anticipated in coming years, much effort is being put toward improving diagnostic tests for PJI. Areas covered: The best current practice for diagnosis of PJI is to follow an algorithmic approach. Emerging technology such as advanced imaging modalities, increasing availability of serum markers, synovial fluid biomarker analysis and new point-of-care modalities offer the potential to greatly enhance our ability to identify PJI in the future. Expert opinion: As there has been more focus on the diagnosis of PJI in recent years, new tests have been developed. These new tests will need to be rigorously evaluated before being incorporated into the diagnostic algorithm. Synovial fluid biomarker analysis and greater access to point-of-care testing may allow the biggest improvements in the diagnosis of PJI in the near future.
机译:简介:假体周围关节感染(PJI)的识别至关重要,因为感染和未感染的关节置换术之间的治疗方法根本不同,并且漏诊可能导致诊断延迟和治疗成功率降低的可能性。然而,在没有真正的金标准的情况下,PJI的诊断可能难以捉摸。鉴于这种PJI的发病率不断上升,并且预计在未来几年内感染负担将越来越大,因此人们正在为改善PJI的诊断测试付出很多努力。涵盖的领域:当前诊断PJI的最佳实践是遵循一种算法方法。先进的成像方式,血清标志物的可用性不断提高,滑液生物标志物分析和新的即时医疗点等新兴技术为将来提高我们识别PJI的能力提供了潜力。专家意见:近年来,由于对PJI的诊断越来越关注,因此开发了新的测试方法。在将这些新测试纳入诊断算法之前,需要对其进行严格评估。滑液生物标志物分析和更多即时医疗服务可能会在不久的将来最大程度地改善PJI的诊断。

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