Department of Orthopedics, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China.
Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Front Cell Infect Microbiol. 2023 Mar 1;13:1089919. doi: 10.3389/fcimb.2023.1089919. eCollection 2023.
The diagnosis of periprosthetic joint infection (PJI) is rather difficult due to its rarity and difficult in isolation, there are not standardized diagnostic procedure for PJI presently. This study aimed to reported a metagenomic next-generation sequencing (mNGS)-based diagnostic strategy for PJI.
In the present study, we have reported the largest number of PJI that were precisely diagnosed by mNGS and verified by optimized microbial culture methods and (or) 16S PCR polymerase chain reaction (PCR).
The positive rate of optimized microbial culture methods and 16S PCR in the detection of PJI was 57.14% and 71.43%, respectively. The infections were well controlled by targeted treatment in all cases.
The standardized and optimized procedure based on mNGS presented in this study is useful for the diagnosis of PJI, which might also be provided as a novel diagnostic strategy for rare bacterial PJI.
由于假体周围关节感染(PJI)较为罕见且难以单独诊断,目前尚无标准化的诊断程序,因此其诊断颇具难度。本研究旨在报告一种基于宏基因组下一代测序(mNGS)的 PJI 诊断策略。
在本研究中,我们报告了通过 mNGS 精确诊断的最大数量的 PJI,并通过优化的微生物培养方法和(或)16S PCR 聚合酶链反应(PCR)进行了验证。
优化的微生物培养方法和 16S PCR 检测 PJI 的阳性率分别为 57.14%和 71.43%。所有病例经靶向治疗后感染均得到良好控制。
本研究中提出的基于 mNGS 的标准化和优化程序可用于 PJI 的诊断,也可为罕见细菌性 PJI 提供一种新的诊断策略。