Clinical validation of an AI-based blood testing device for diagnosis and prognosis of acute infection and sepsis.

ABSTRACT: Lack of reliable diagnostics for the presence, type and severity of infection in patients presenting to emergency departments with non-specific symptoms poses considerable challenges. We developed TriVerity, which uses isothermal amplification of 29 mRNAs and machine learning algorithms on the Myrna instrument to determine likelihoods of bacterial infection, viral infection and need for critical care interventions within 7 days. To validate TriVerity, the SEPSIS-SHIELD study enrolled 1,222 patients with clinically adjudicated infection status and need for critical care intervention within 7 days as endpoints. The TriVerity Bacterial and Viral scores had higher accuracy than C-reactive protein, procalcitonin or white blood cell count for the diagnosis of bacterial infection with area under

SUBMITTER: Liesenfeld O 

PROVIDER: S-EPMC12705421 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature