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人工关节周围感染的诊断——基于算法的方法

Diagnosis of Periprosthetic Joint Infection-An Algorithm-Based Approach.

作者信息

Ting Nicholas T, Della Valle Craig J

机构信息

Department of Orthopaedic Surgery, Northwestern Medicine Central DuPage Hospital, Winfield, Illinois.

Department of Orthopaedic Surgery, RUSH University Medical Center, Chicago, Illinois.

出版信息

J Arthroplasty. 2017 Jul;32(7):2047-2050. doi: 10.1016/j.arth.2017.02.070. Epub 2017 Mar 2.

Abstract

BACKGROUND

Periprosthetic joint infection (PJI) remains one of the most challenging and devastating modes of failure after total hip and knee arthroplasties. Despite the profound urgency and impact of PJI on an individual and societal basis, historically, there have not been standardized definitions of and diagnostic algorithms for infection after total joint arthroplasty.

METHODS

In a recent symposium, the American Academy of Hip and Knee Surgeons put forth a standardized approach to the prevention, diagnosis, and management of the patient with a suspected PJI.

RESULTS

This review article summarizes these findings, and reviews the algorithmic approach to the diagnosis of PJI.

CONCLUSION

The diagnosis of PJI is easily made in our experience in 90% of patients by getting an erythrocyte sedimentation rate and C-reactive protein followed by selective aspiration of the joint if these values are elevated or if the clinical suspicion is high. Synovial fluid obtained should be sent for a synovial fluid white blood cell count, differential, and cultures.

摘要

背景

人工关节周围感染(PJI)仍然是全髋关节和膝关节置换术后最具挑战性和破坏性的失败模式之一。尽管PJI对个人和社会有着极其迫切的影响,但从历史上看,全关节置换术后感染的标准化定义和诊断算法一直不存在。

方法

在最近的一次研讨会上,美国髋膝关节外科医师学会提出了一种针对疑似PJI患者的预防、诊断和管理的标准化方法。

结果

这篇综述文章总结了这些发现,并回顾了PJI的诊断算法。

结论

根据我们的经验,通过检测红细胞沉降率和C反应蛋白,若这些值升高或临床怀疑度高,则对关节进行选择性穿刺,90%的患者能够轻松做出PJI诊断。所获得的滑液应送去进行滑液白细胞计数、分类和培养。

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