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Comparison of microbiological and molecular diagnosis for identification of respiratory secondary infections in COVID-19 patients and their antimicrobial resistance patterns.
Margarita, Valentina; Pau, Maria Carmina; Carboni, Gavino; Mannu, Franca; Turrini, Francesco; Rappelli, Paola; Pantaleo, Antonella; Dessì, Daniele; Zinellu, Elisabetta; Piras, Barbara; Fois, Alessandro G; Rubino, Salvatore; Pirina, Pietro; Fiori, Pier Luigi.
Afiliação
  • Margarita V; Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
  • Pau MC; Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
  • Carboni G; Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
  • Mannu F; Research Unit, Nurex Srl, 07100 Sassari, Italy.
  • Turrini F; Research Unit, Nurex Srl, 07100 Sassari, Italy.
  • Rappelli P; Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy; Azienda Ospedaliero Università (AOU), Sassari, 07100 Sassari, Italy.
  • Pantaleo A; Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
  • Dessì D; Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
  • Zinellu E; Azienda Ospedaliero Università (AOU), Sassari, 07100 Sassari, Italy.
  • Piras B; Azienda Ospedaliero Università (AOU), Sassari, 07100 Sassari, Italy.
  • Fois AG; Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy; Azienda Ospedaliero Università (AOU), Sassari, 07100 Sassari, Italy.
  • Rubino S; Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy; Azienda Ospedaliero Università (AOU), Sassari, 07100 Sassari, Italy.
  • Pirina P; Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy; Azienda Ospedaliero Università (AOU), Sassari, 07100 Sassari, Italy.
  • Fiori PL; Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy; Azienda Ospedaliero Università (AOU), Sassari, 07100 Sassari, Italy.
Diagn Microbiol Infect Dis ; 110(2): 116479, 2024 Aug 03.
Article em En | MEDLINE | ID: mdl-39116653
ABSTRACT
We report the use of a new multiplex Real-Time PCR platform to simultaneously identify 24 pathogens and 3 antimicrobial-resistance genes directly from respiratory samples of COVID-19 patients. Results were compared to culture-based diagnosis. Secondary infections were detected in 60% of COVID-19 patients by molecular analysis and 73% by microbiological assays, with no significant differences in accuracy, indicating Gram-negative bacteria as the predominant species. Among fungal superinfections, Aspergillus spp. were detected by both methods in more than 7% of COVID-19 patients. Oxacillin-resistant S. aureus and carbapenem-resistant K. pneumoniae were highlighted by both methods. Secondary microbial infections in SARS-CoV-2 patients are associated with poor outcomes and an increased risk of death. Since PCR-based tests significantly reduce the turnaround time to 4 hours and 30 minutes (compared to 48 hours for microbial culture), we strongly support the routine use of molecular techniques, in conjunction with microbiological analysis, to identify co/secondary infections.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article