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Rapid Molecular Tests for Detecting Respiratory Pathogens Reduced the Use of Antibiotics in Children. | LitMetric

AI Article Synopsis

  • Multiplex polymerase chain reaction (mPCR) is used to diagnose respiratory infections in kids, providing faster and more accurate results than older methods.
  • The FilmArray Respiratory Panel (FA-RP), an advanced mPCR assay, can quickly detect 20 different pathogens from respiratory samples in about an hour.
  • A study at Yeungnam University Hospital found that FA-RP had a higher detection rate and decreased hospital stay and antibiotic use, which can help combat antibiotic resistance in pediatric patients.

Article Abstract

Multiplex polymerase chain reaction (mPCR) is increasingly being used to diagnose infections caused by respiratory pathogens in pediatric inpatient facilities. mPCR assays detect a broader array of viruses, with higher specificity and sensitivity and faster turnaround than previous assays. We adapted the FilmArray Respiratory Panel (FA-RP) for diagnosing respiratory infections. FA-RP is an in vitro mPCR assay that simultaneously and rapidly (in about 1 h) detects 20 pathogens directly from respiratory specimens. Here, we studied the clinical efficacy of FA-RP in children who underwent testing for respiratory pathogens at Yeungnam University Hospital from November 2015 to August 2018. From November 2015 to June 2016, routine mPCR testing was performed on nasopharyngeal swabs using the routine mPCR kit. From November 2016 to July 2018, mPCR testing was performed using FA-RP. A total of 321 tests by routine mPCR and 594 tests by FA-RP were included. The positive detection rates for routine mPCR and FA-RP were 71.3% and 83.3%, respectively. FA-RP reduced the lead time, waiting time, turnaround time, intravenous (IV) antibiotic use, and length of hospital stay for pediatric patients. The decreased use of antibiotics is expected to reduce antibiotic resistance in children.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001485PMC
http://dx.doi.org/10.3390/antibiotics10030283DOI Listing

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