Parikh Monisha S, Antony Suresh
Department of Internal Medicine, Division of Infectious Diseases, Texas Tech University Health Science Center, Paul L. Foster School of Medicine, El Paso, TX, United States.
Department of Internal Medicine, Division of Infectious Diseases, Texas Tech University Health Science Center, Paul L. Foster School of Medicine, El Paso, TX, United States.
J Infect Public Health. 2016 Sep-Oct;9(5):545-56. doi: 10.1016/j.jiph.2015.12.001. Epub 2016 Jan 29.
The diagnosis and management of prosthetic joint infections (PJI) with negative cultures remains an enigma without clear definitions and guidelines for its management. In contrast, the literature offers guidelines to the diagnosis and management of culture positive prosthetic joint infections as noted in both the infectious disease literature and the orthopedic literature. This paper outlines the current state of knowledge of PJI with negative cultures and summarizes the recommendations for the work up and management of this condition. In addition, we propose a simple algorithm that clinicians may find useful for the management of PJI with negative cultures. This algorithm has not been validated with data at this point, but can be applied to practice to help direct the management and diagnosis of prosthetic joint infections in the absence of positive cultures.
对于培养结果为阴性的人工关节感染（PJI），其诊断和管理仍是一个谜，缺乏明确的定义和管理指南。相比之下，正如传染病文献和骨科文献中所指出的，文献中提供了培养结果为阳性的人工关节感染的诊断和管理指南。本文概述了培养结果为阴性的PJI的当前知识状态，并总结了针对该病症检查和管理的建议。此外，我们提出了一种简单的算法，临床医生可能会发现该算法对培养结果为阴性的PJI的管理有用。该算法目前尚未通过数据验证，但可应用于实践，以帮助在缺乏阳性培养结果的情况下指导人工关节感染的管理和诊断。
