Literature DB >> 33517765

Effects of different tissue specimen pretreatment methods on microbial culture results in the diagnosis of periprosthetic joint infection.

Xinyu Fang1, Lvheng Zhang1, Yuanqing Cai1, Zida Huang1, Wenbo Li1, Chaofan Zhang1, Bin Yang2, Jianhua Lin1, Peter Wahl3, Wenming Zhang1.   

Abstract

AIMS: Microbiological culture is a key element in the diagnosis of periprosthetic joint infection (PJI). However, cultures of periprosthetic tissue do not have optimal sensitivity. One of the main reasons for this is that microorganisms are not released from the tissues, either due to biofilm formation or intracellular persistence. This study aimed to optimize tissue pretreatment methods in order to improve detection of microorganisms.
METHODS: From December 2017 to September 2019, patients undergoing revision arthroplasty in a single centre due to PJI and aseptic failure (AF) were included, with demographic data and laboratory test results recorded prospectively. Periprosthetic tissue samples were collected intraoperatively and assigned to tissue-mechanical homogenization (T-MH), tissue-manual milling (T-MM), tissue-dithiothreitol (T-DTT) treatment, tissue-sonication (T-S), and tissue-direct culture (T-D). The yield of the microbial cultures was then analyzed.
RESULTS: A total of 46 patients were enrolled, including 28 patients in the PJI group and 18 patients in the AF group. In the PJI group, 23 cases had positive culture results via T-MH, 22 cases via T-DTT, 20 cases via T-S, 15 cases via T-MM, and 13 cases via T-D. Three cases under ongoing antibiotic treatment remained culture-negative. Five tissue samples provided the optimal yield. Any ongoing antibiotic treatment had a relevant influence on culture sensitivity, except for T-DTT.
CONCLUSION: T-MH had the highest sensitivity. Combining T-MH with T-DTT, which requires no special equipment, may effectively improve bacterial detection in PJI. A total of five periprosthetic tissue biopsies should be sampled in revision arthroplasty for optimal detection of PJI. Cite this article: Bone Joint Res 2021;10(2):96-104.

Entities:  

Keywords:  Culture; Periprosthetic joint infection; Pretreatment

Year:  2021        PMID: 33517765     DOI: 10.1302/2046-3758.102.BJR-2020-0104.R3

Source DB:  PubMed          Journal:  Bone Joint Res        ISSN: 2046-3758            Impact factor:   5.853


  5 in total

1.  Application of 68Ga-citrate PET/CT for differentiating periprosthetic joint infection from aseptic loosening after joint replacement surgery.

Authors:  Tingting Xu; Yalan Zeng; Xiao Yang; Guangfu Liu; Taiyong Lv; Hongbin Yang; Fei Jiang; Yue Chen
Journal:  Bone Joint Res       Date:  2022-06       Impact factor: 4.410

Review 2.  Is sonication superior to dithiothreitol in diagnosis of periprosthetic joint infections? A meta-analysis.

Authors:  Konstantinos Tsikopoulos; Savas Ilias Christofilos; Dimitrios Kitridis; Konstantinos Sidiropoulos; Panagiotis N Stoikos; Christoforos Gravalidis; Panagiotis Givissis; Paraskevi Papaioannidou
Journal:  Int Orthop       Date:  2022-02-24       Impact factor: 3.479

3.  What is the appropriate extended duration of antibiotic prophylaxis after two-stage revision for chronic PJI?

Authors:  Xinyu Fang; Qiaojie Wang; Xurong Yang; Feiyang Zhang; Changyu Huang; Zida Huang; Hao Shen; Wenming Zhang
Journal:  Bone Joint Res       Date:  2021-12       Impact factor: 4.410

4.  Metal Artifact Reduction Sequences MRI: A Useful Reference for Preoperative Diagnosis and Debridement Planning of Periprosthetic Joint Infection.

Authors:  Changyu Huang; Yang Chen; Haiqi Ding; Zida Huang; Chaofan Zhang; Wenbo Li; Xi Liu; Zhanhai Tu; Wenming Zhang; Xinyu Fang
Journal:  J Clin Med       Date:  2022-07-27       Impact factor: 4.964

5.  Evaluation of two different semi-automated homogenization techniques in microbiological diagnosis of periprosthetic joint infection: disperser vs. bead milling method.

Authors:  Heime Rieber; Andre Frontzek; Stephanie Heinrich; Bertram Barden; Thomas Kortstegge; Thomas Dienstknecht; Andreas Breil-Wirth; Mathias Herwig; Jörg Jerosch; Ralf Pinkernell; Martin Ulatowski
Journal:  BMC Infect Dis       Date:  2022-10-17       Impact factor: 3.667

  5 in total

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