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  • Higuera, Carlos A.  (4)
  • Parvizi, Javad  (4)
  • 1
    In: Journal of Bone and Joint Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 105, No. 11 ( 2023-6-7), p. 821-829
    Abstract: Recent advances in high-throughput DNA sequencing technologies have made it possible to characterize the microbial profile in anatomical sites previously assumed to be sterile. We used this approach to explore the microbial composition within joints of osteoarthritic patients. Methods: This prospective multicenter study recruited 113 patients undergoing hip or knee arthroplasty between 2017 and 2019. Demographics and prior intra-articular injections were noted. Matched synovial fluid, tissue, and swab specimens were obtained and shipped to a centralized laboratory for testing. Following DNA extraction, microbial 16S-rRNA sequencing was performed. Results: Comparisons of paired specimens indicated that each was a comparable measure for microbiological sampling of the joint. Swab specimens were modestly different in bacterial composition from synovial fluid and tissue. The 5 most abundant genera were Escherichia, Cutibacterium, Staphylococcus, Acinetobacter, and Pseudomonas. Although sample size varied, the hospital of origin explained a significant portion (18.5%) of the variance in the microbial composition of the joint, and corticosteroid injection within 6 months before arthroplasty was associated with elevated abundance of several lineages. Conclusions: The findings revealed that prior intra-articular injection and the operative hospital environment may influence the microbial composition of the joint. Furthermore, the most common species observed in this study were not among the most common in previous skin microbiome studies, suggesting that the microbial profiles detected are not likely explained solely by skin contamination. Further research is needed to determine the relationship between the hospital and a “closed” microbiome environment. These findings contribute to establishing the baseline microbial signal and identifying contributing variables in the osteoarthritic joint, which will be valuable as a comparator in the contexts of infection and long-term arthroplasty success. Level of Evidence: Diagnostic Level II . See Instructions for Authors for a complete description of levels of evidence.
    Type of Medium: Online Resource
    ISSN: 0021-9355 , 1535-1386
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
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  • 2
    In: Journal of Bone and Joint Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 104, No. 17 ( 2022-9-7), p. 1523-1529
    Abstract: The challenges of culture-negative periprosthetic joint infection (PJI) have led to the emergence of molecular methods of pathogen identification, including next-generation sequencing (NGS). While its increased sensitivity compared with traditional culture techniques is well documented, it is not fully known which organisms could be expected to be detected with use of NGS. The aim of this study was to describe the NGS profile of culture-negative PJI. Methods: Patients undergoing revision hip or knee arthroplasty from June 2016 to August 2020 at 14 institutions were prospectively recruited. Patients meeting International Consensus Meeting (ICM) criteria for PJI were included in this study. Intraoperative samples were obtained and concurrently sent for both routine culture and NGS. Patients for whom NGS was positive and standard culture was negative were included in our analysis. Results: The overall cohort included 301 patients who met the ICM criteria for PJI. Of these patients, 85 (28.2%) were culture-negative. A pathogen could be identified by NGS in 56 (65.9%) of these culture-negative patients. Seventeen species were identified as common based on a study-wide incidence threshold of 5%. NGS revealed a polymicrobial infection in 91.1% of culture-negative PJI cases, with the set of common species contributing to 82.4% of polymicrobial profiles. Escherichia coli, Cutibacterium acnes, Staphylococcus epidermidis, and Staphylococcus aureus ranked highest in terms of incidence and study-wide mean relative abundance and were most frequently the dominant organism when occurring in polymicrobial infections. Conclusions: NGS provides a more comprehensive picture of the microbial profile of infection that is often missed by traditional culture. Examining the profile of PJI in a multicenter cohort using NGS, this study demonstrated that approximately two-thirds of culture-negative PJIs had identifiable opportunistically pathogenic organisms, and furthermore, the majority of infections were polymicrobial. Level of Evidence: Diagnostic Level II . See Instructions for Authors for a complete description of levels of evidence.
    Type of Medium: Online Resource
    ISSN: 0021-9355 , 1535-1386
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
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  • 3
    In: The Journal of Arthroplasty, Elsevier BV, Vol. 34, No. 2 ( 2019-02), p. S325-S327
    Type of Medium: Online Resource
    ISSN: 0883-5403
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 2041553-9
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  • 4
    Online Resource
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    Ovid Technologies (Wolters Kluwer Health) ; 2017
    In:  Journal of Bone and Joint Surgery Vol. 99, No. 9 ( 2017-5-3), p. 753-759
    In: Journal of Bone and Joint Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 99, No. 9 ( 2017-5-3), p. 753-759
    Abstract: There is a paucity of data regarding the threshold of synovial fluid white blood-cell (WBC) count and polymorphonuclear cell (neutrophil) percentage of the WBC count (PMN%) for the diagnosis of chronic periprosthetic joint infection (PJI) after total hip arthroplasty. Despite this, many organizations have provided guidelines for the diagnosis of PJI that include synovial fluid WBC count and PMN%. We attempted to define a threshold for synovial fluid WBC count and PMN% for the diagnosis of chronic PJI of the hip using a uniform definition of PJI and to investigate any variations in the calculated thresholds among institutions. Methods: From 4 academic institutions, we formed a cohort of 453 patients with hip synovial fluid cell count analysis as part of the work-up for revision total hip arthroplasty. Using the definition of PJI from the Musculoskeletal Infection Society (MSIS), 374 joints were diagnosed as aseptic and 79, as septic. Intraoperative aspirations were performed as routine practice, regardless of the suspicion for infection, in 327 (72%) of the patients. Using receiver operating characteristic curves, the optimal threshold values for synovial WBC count and PMN% were identified. Results: For the diagnosis of chronic PJI of the hip, the threshold for the overall cohort was 3,966 cells/μL for WBC count and 80% for PMN%. Despite the high predictive accuracy for the cohort, there was notable institutional variation in fluid WBC count and PMN%. Furthermore, the rate of PJI was 14% (4 of 28) for patients with a WBC count of 3,000 to 5,000 cells/μL compared with 91% (20 of 22) for patients with a WBC count of 〉 50,000 cells/μL. Similarly, the rate of PJI was 29% (14 of 49) for patients with a PMN% of 75% to 85% compared with 69% (33 of 48) for patients with a PMN% of 〉 95%. Conclusions: Using the MSIS criteria, the optimal synovial fluid WBC count and PMN% to diagnose chronic PJI in the hip is closer to thresholds for the knee than those previously reported for the hip. This study validates the diagnostic utility of synovial fluid analysis for the diagnosis of periprosthetic hip infection; however, we also identified a clinically important “gray area” around the threshold for which the presence of PJI may be unclear. Level of Evidence: Diagnostic Level III . See Instructions for Authors for a complete description of levels of evidence.
    Type of Medium: Online Resource
    ISSN: 0021-9355 , 1535-1386
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2017
    Location Call Number Limitation Availability
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