POOLED ANTIBIOTIC SUSCEPTIBILITY TESTING
(P-AST™)
P-AST™ accounts for bacterial interactions, which impact antibiotic resistance and sensitivity.
Proprietary technology to better address polymicrobial infections
Polymicrobial infections are common
More than half of positive UTI cases are polymicrobial.1
Bacterial interactions in polymicrobial samples can change susceptibility
When there are multiple organisms present, pathogens may respond differently to antibiotics. Sometimes they are more susceptible, other times they are more resistant.2,3 The presence of resistance genes does not necessarily translate into actual antibiotic resistance, and facility-wide antibiograms are not tailored to the specific strains in the individual patient.
Testing on isolates doesn’t account for bacterial interactions.
Standard culture tests susceptibility on individual organisms, which doesn’t reflect the impact of bacterial interactions within a polymicrobial infection. However, testing in a pooled environment, where organisms are grouped together, takes into consideration these bacterial interactions.
P-AST™ is personalized
Our unique Pooled Antibiotic Susceptibility Testing
(P-AST™) method evaluates 19 different antibiotics against the pool of organisms in the patient’s urine, providing a personalized result that accounts for bacterial interactions that may change antibiotic resistance within a patient-specific polymicrobial infection.
Tests that
incorporate
P-AST™
References:
Vollstedt A, Baunoch D, Wojno KJ, Luke N, Cline K, et al. (2020). Multisite Prospective Comparison of Multiplex Polymerase Chain Reaction Testing with Urine Culture for Diagnosis of Urinary Tract Infections in Symptomatic Patients. J Sur urology, JSU-102. DOI: 10.29011/ JSU-102.100002
Vollstedt A, Baunoch D, Wolfe A, Luke N, Wojno KJ, et al. (2020). Bacterial Interactions as Detected by Pooled Antibiotic Susceptibility Testing (P-AST) in Polymicrobial Urine Specimens. J Sur urology, JSU-101. DOI: 10.29011/JSU-101.100001
Vos MG de, Zagorski M, McNally A, Bollenbach T (2017) Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections. Proceedings of the National Academy of Sciences 114:10666–10671. https://doi.org/10.1073/pnas.1713372114