Differentiating between a bacterial and viral infection is vital for both patient health and antimicrobial stewardship—but for many infections, the similarity in patient symptoms makes it challenging. Studies investigating the use of single biomarkers, for example, procalcitonin (PCT) or C-reactive protein (CRP), have shown poor performance as individual biomarkers. Integration of diagnostic tests based on the host’s response to infection may overcome the challenges and variability presented by using individual biomarkers.
MeMed BV is a diagnostic test that uses a proprietary algorithm to create a numerical bacterial vs. viral likelihood score based on the levels of three host immune proteins—TRAIL (Tumor Necrosis Factor (TNF)-related apoptosis-inducing ligand), IP-10 (interferon gamma-induced protein-10), and CRP. Previous studies showed that MeMed BV demonstrated sensitivities of >93% and 98% with specificities of >94% and 88% in children1 and adults,2 respectively.
In this prospective multi-center, blinded study,3 scientists evaluated the diagnostic accuracy of a rapid version of MeMed BV in children and adults in both Emergency Departments and Urgent Care Centers and determined whether MeMed BV results could impact antibiotic use for these patients. MeMed BV performance was assessed for differentiating between bacterial and viral infections by comparing the results to the reference standard infection etiology. Bacterial (or co-infection) was considered positive.
The study found:
- MeMed BV significantly outperformed PCT in differentiating between bacterial and viral infections with an AUC of 0.95 as compared with 0.70, respectively
- Using MeMed BV could potentially have reduced antibiotic prescription in patients with a viral reference standard infection etiology by 2.2-fold, from19.9% to 8.9%. Among the patients with viral reference standard infection etiology, 74 received antibiotics, and MeMed could have helped prevent 60prescriptions
- MeMed BV showed 90.0% sensitivity and 92.8% specificity with a negative predictive value of 98.8% for identification of bacterial vs. viral infections
Adding MeMed BV to the evaluation of acute care patients could help reduce diagnostic uncertainty, which, in turn, could improve antibiotic stewardship and patient outcomes.