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Identification of bacterial co-detections in COVID-19 critically Ill patients by BioFire® FilmArray® pneumonia panel: a systematic review and meta-analysis.
Timbrook, Tristan T; Hueth, Kyle D; Ginocchio, Christine C.
  • Timbrook TT; BioFire Diagnostics, LLC, Salt Lake City, Utah, USA; College of Pharmacy, University of Utah Health, Salt Lake City, Utah, USA. Electronic address: Tristan.Timbrook@biomerieux.com.
  • Hueth KD; BioFire Diagnostics, LLC, Salt Lake City, Utah, USA.
  • Ginocchio CC; BioFire Diagnostics, LLC, Salt Lake City, Utah, USA; bioMérieux, Durham, North Carolina, USA.
Diagn Microbiol Infect Dis ; 101(3): 115476, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1544965
ABSTRACT
Among critically ill COVID-19 patients, bacterial coinfections may occur, and timely appropriate therapy may be limited with culture-based microbiology due to turnaround time and diagnostic yield challenges (e.g. antibiotic pre-exposure). We performed a systematic review and meta-analysis of the impact of BioFire® FilmArray® Pneumonia Panel in detecting bacteria and clinical management among critically ill COVID-19 patients admitted to the ICU. Seven studies with 558 patients were included. Antibiotic use before respiratory sampling occurred in 28-79% of cases. The panel incidence of detections was 33% (95% CI 0.25 to 0.41, I2=32%) while culture yielded 18% (95% CI 0.02 to 0.45; I2=93%). The panel was associated with approximately a 1 and 2 day decrease in turnaround for identification and common resistance targets, respectively. The panel may be an important tool for clinicians to improve antimicrobial use in critically ill COVID-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Bacterial / Coinfection / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: Diagn Microbiol Infect Dis Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Bacterial / Coinfection / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: Diagn Microbiol Infect Dis Year: 2021 Document Type: Article