Evaluation of multi-sample 16S ribosomal DNA sequencing for the diagnosis of postoperative bone and joint infections during antimicrobial treatment
Abstract Objectives Clinicians worldwide struggle to identify the bacterial aetiology of bone and joint infections. Failure to unequivocally identify the pathogen is linked to poor clinical outcomes. We explored the added value of analysing multiple samples per patient with 16S ribosomal DNA (16S rD...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-03-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13104-022-05992-7 |
| _version_ | 1818353599971852288 |
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| author | Katja Wallander Martin Vondracek Christian G. Giske |
| author_facet | Katja Wallander Martin Vondracek Christian G. Giske |
| author_sort | Katja Wallander |
| collection | DOAJ |
| description | Abstract Objectives Clinicians worldwide struggle to identify the bacterial aetiology of bone and joint infections. Failure to unequivocally identify the pathogen is linked to poor clinical outcomes. We explored the added value of analysing multiple samples per patient with 16S ribosomal DNA (16S rDNA) sequencing in diagnosing postoperative bone and joint infections. All patients had received antimicrobials prior to sampling, and false-negative cultures could be suspected. Bone biopsies obtained from patients with postoperative bone and joint infections for cultures were also subjected to 16S rDNA sequencing. Results In 5/28 infectious episodes, sequencing identified the causative organism of the infection when cultures failed. In 8/28 episodes, the methods led to different results, potentially leading to different antimicrobial choices. The analysis of multiple samples per patient helped rule out potential contaminating pathogens. We conclude that 16S rDNA sequencing has diagnostic value for patients receiving antibiotic treatment. We regard the method as a complement to culturing when the cultures are negative. Multiple samples per patient should be analysed to determine the clinical significance of positive findings. |
| first_indexed | 2024-12-13T19:12:06Z |
| format | Article |
| id | doaj.art-1e204b7eaf6a4ad3aabfc88c09c4388a |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-12-13T19:12:06Z |
| publishDate | 2022-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-1e204b7eaf6a4ad3aabfc88c09c4388a2022-12-21T23:34:22ZengBMCBMC Research Notes1756-05002022-03-011511610.1186/s13104-022-05992-7Evaluation of multi-sample 16S ribosomal DNA sequencing for the diagnosis of postoperative bone and joint infections during antimicrobial treatmentKatja Wallander0Martin Vondracek1Christian G. Giske2Department of Infectious Diseases and Venhälsan, SödersjukhusetDepartment of Clinical Microbiology, Karolinska University Hospital StockholmDepartment of Clinical Microbiology, Karolinska University Hospital StockholmAbstract Objectives Clinicians worldwide struggle to identify the bacterial aetiology of bone and joint infections. Failure to unequivocally identify the pathogen is linked to poor clinical outcomes. We explored the added value of analysing multiple samples per patient with 16S ribosomal DNA (16S rDNA) sequencing in diagnosing postoperative bone and joint infections. All patients had received antimicrobials prior to sampling, and false-negative cultures could be suspected. Bone biopsies obtained from patients with postoperative bone and joint infections for cultures were also subjected to 16S rDNA sequencing. Results In 5/28 infectious episodes, sequencing identified the causative organism of the infection when cultures failed. In 8/28 episodes, the methods led to different results, potentially leading to different antimicrobial choices. The analysis of multiple samples per patient helped rule out potential contaminating pathogens. We conclude that 16S rDNA sequencing has diagnostic value for patients receiving antibiotic treatment. We regard the method as a complement to culturing when the cultures are negative. Multiple samples per patient should be analysed to determine the clinical significance of positive findings.https://doi.org/10.1186/s13104-022-05992-7DNA sequencingArthritis bacterialOsteomyelitisCoinfectionProsthesis-related infection |
| spellingShingle | Katja Wallander Martin Vondracek Christian G. Giske Evaluation of multi-sample 16S ribosomal DNA sequencing for the diagnosis of postoperative bone and joint infections during antimicrobial treatment BMC Research Notes DNA sequencing Arthritis bacterial Osteomyelitis Coinfection Prosthesis-related infection |
| title | Evaluation of multi-sample 16S ribosomal DNA sequencing for the diagnosis of postoperative bone and joint infections during antimicrobial treatment |
| title_full | Evaluation of multi-sample 16S ribosomal DNA sequencing for the diagnosis of postoperative bone and joint infections during antimicrobial treatment |
| title_fullStr | Evaluation of multi-sample 16S ribosomal DNA sequencing for the diagnosis of postoperative bone and joint infections during antimicrobial treatment |
| title_full_unstemmed | Evaluation of multi-sample 16S ribosomal DNA sequencing for the diagnosis of postoperative bone and joint infections during antimicrobial treatment |
| title_short | Evaluation of multi-sample 16S ribosomal DNA sequencing for the diagnosis of postoperative bone and joint infections during antimicrobial treatment |
| title_sort | evaluation of multi sample 16s ribosomal dna sequencing for the diagnosis of postoperative bone and joint infections during antimicrobial treatment |
| topic | DNA sequencing Arthritis bacterial Osteomyelitis Coinfection Prosthesis-related infection |
| url | https://doi.org/10.1186/s13104-022-05992-7 |
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