Sendi Parham, Zimmerli Werner
Unit of Infectious Diseases, Basel University Medical Clinic Liestal, Liestal, Switzerland.
Int J Artif Organs. 2012 Oct;35(10):913-22. doi: 10.5301/ijao.5000150. Epub 2012 Nov 12.
The diagnosis of a periprosthetic joint infection (PJI) can be challenging, either because of the variable clinical presentation or because of previous antimicrobial treatment interfering with the detection of the pathogen. In recent years, various means to diagnose PJI have been analyzed. These include invasive and non-invasive laboratory tests, imaging procedures, and novel techniques such as sonication of implants and the use of molecular microbiology. In this review, both established and novel diagnostic procedures are presented. An algorithm for detecting PJI in patients with acute and chronic symptoms is proposed.
人工关节周围感染(PJI)的诊断可能具有挑战性,这要么是因为临床表现多变,要么是因为先前的抗菌治疗干扰了病原体的检测。近年来,已对多种诊断PJI的方法进行了分析。这些方法包括侵入性和非侵入性实验室检查、成像程序以及诸如植入物超声处理和分子微生物学应用等新技术。在本综述中,将介绍既定的和新颖的诊断程序。本文还提出了一种用于检测急性和慢性症状患者PJI的算法。