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UTIs: MEDUSA PATHOLOGY revolutionary molecular based, AI-enhanced testing is set to change the management of complex UTIs in the community-based setting.

Prior to the 2020 viral pandemic that has cost the lives of hundreds of thousands of Americans, complicated or untreated UTIs in adults older than 65 years had a mortality rate ranging from 25-60% with 50% of all nursing home patients with sepsis originating from UTIs. With the added threat of the viral pandemic and the ensuing healthcare crisis among our older adult patient population, renewed interest in a far more rapid, accurate and sensitive test has spurred innovation in genetic identification of both pathogenic microorganisms and resistance genes that guide modern antibiotic therapy.

Traditional methods of identification of microbes in UTIs relies on culture of suspected microorganisms with growth visible on agar plates, a process that is both time consuming and inherently biased as many Gram-negative and especially Gram-positive organisms can often fail to grow in such conditions. Traditional cultures have been shown to have a 30% false negative rate vs. more advanced molecular based testing.

Another problem with traditional culture-based methods is that UTIs are polymicrobial with multiple uropathogens that complicate treatment decisions.

New multiplex PCR testing is capable of not only turnaround time in 4-6 hours rather than days but accurate identification of polymicrobial UTI cases at a rate no of nearly 6 times greater than traditional culture.

Adding to the crisis of UTI management in a pandemic era is growing antibiotic resistance that threatens a new health crisis after decades of poor antibiotic stewardship reliant on broad spectrum coverage due to a previous lack of rapid, accurate resistance identification.

Our Signal UTI+ Molecular Assay System currently identifies the following uropathogens and resistance genes:

Bacterial Pathogens Detected

  • Acinobacter baumannii
  • Bacteroides Fragilis
  • Citrobacter freundii/braakii
  • Citrobacter koseri
  • Enterobacter cloaca
  • Enterococcus spp (faecalis/faecium)
  • Escherichia coli
  • Klebsiella aerogenes
  • Klebsiella michiganensis / oxytoca
  • Klebsiella pneumoniae
  • Morganella morghanii
  • Proteus mirabilis
  • Pseudomonas aeruginosa
  • Serratia marcescens
  • Staphylococcus aureus
  • Staphylococcus epidermidis
  • Staphylococcus saprophyticus
  • Streptococcus pyogenes (Group A)
  • Prevotella bivia
  • Streptococcus agalactiae (GBS)
  • Ureaplasma urealyticum
  • Mycoplasma genitalium
  • Mycoplasma hominis

Fungal Microorganisms Detected

  • Candida albicans
  • Candida dublinensis
  • Candida glabrata
  • Candida krusei
  • Candida parapsiliosis
  • Candida tropicalis

Antibiotic Resistance Genes Detected

  • MRSA
  • Class A β-lactamase; blaKPC
  • Class A β-lactamase; CTX-M-Group1
  • Class B metallo-β-lactamase; blaNDM
  • VRE; vanA and vanB
  • Trimethoprim
  • Fluoroquinolones
  • Sulfonamides
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