Diagnostic Yield of 16S Ribosomal Ribonucleic Acid Gene-Based Targeted Metagenomic Sequencing for Evaluation of Pleural Space Infection: A Prospective Study
To better understand the microbial profile of complicated parapneumonic effusions and empyema, and to evaluate whether antimicrobial selection would differ if guided by targeted metagenomic sequencing (tMGS) vs conventional cultures (CCs) alone. We analyzed the pleural fluid of a cohort of 47 patien...
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Veröffentlicht in: | Mayo Clinic proceedings. Innovations, quality & outcomes quality & outcomes, 2023-10, Vol.7 (5), p.373-381 |
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Zusammenfassung: | To better understand the microbial profile of complicated parapneumonic effusions and empyema, and to evaluate whether antimicrobial selection would differ if guided by targeted metagenomic sequencing (tMGS) vs conventional cultures (CCs) alone.
We analyzed the pleural fluid of a cohort of 47 patients undergoing thoracentesis from January 1, 2017 to August 31, 2019, to characterize their microbial profile. All samples underwent 16S ribosomal ribonucleic acid gene polymerase chain reaction, followed by tMGS.
Pleural space infection was deemed clinically present in 20 of the 47 (43%) participants. Of those, n=7 (35%) had positive pleural fluid cultures and n=14 (70%) had positive tMGS results. The organisms identified by tMGS were concordant with CCs; however, tMGS detected additional bacterial species over CCs alone. Streptococcus and Staphylococcus species were the most common organisms identified, with Streptococcus intermedius/constellatus identified in 5 patients. Polymicrobial infections were found in 6 of the 20 patients, with anaerobes being the most common organisms identified in these cases.
Streptococci and staphylococci were the most common organisms identified in infected pleural fluid. Anaerobes were common in polymicrobial infections. When compared with CCs, tMGS had higher sensitivity than CCs. Targeted metagenomic sequencing identified additional organisms, not identified by CCs, with associated potential management implications. |
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ISSN: | 2542-4548 2542-4548 |
DOI: | 10.1016/j.mayocpiqo.2023.07.010 |