Advances in the diagnosis of periprosthetic joint infection.

Expert opinion on medical diagnostics Pub Date : 2013-05-01 Epub Date: 2013-03-22 DOI:10.1517/17530059.2013.783010
H John Cooper, Craig J Della Valle
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引用次数: 10

Abstract

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.

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假体周围关节感染的诊断进展。
导言:假体周围关节感染(PJI)的识别是至关重要的,因为感染和未感染的关节置换术之间的治疗是根本不同的,错过诊断可能导致诊断延误和治疗成功率降低的可能性。然而,在缺乏真正的黄金标准的情况下,PJI的诊断可能难以捉摸。鉴于这种PJI的发病率不断上升,预计未来几年感染负担将不断增加,正在努力改进PJI的诊断测试。涵盖领域:目前诊断PJI的最佳实践是遵循算法方法。新兴技术,如先进的成像模式,血清标记物的可用性增加,滑液生物标记物分析和新的护理点模式,提供了在未来大大提高我们识别PJI的能力的潜力。专家意见:近年来,人们越来越重视PJI的诊断,因此开发了新的检测方法。在纳入诊断算法之前,需要对这些新测试进行严格评估。在不久的将来,滑液生物标志物分析和更广泛的现场检测可能会使PJI的诊断得到最大的改善。
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