Computer-Based Monitoring as a Tool for Antimicrobial De-Escalation

Abstract

Purpose Multiple studies have found an association between the prompt initiation of empirically-appropriate antimicrobial therapy and improved patient outcomes. Such empiric-antimicrobial therapy is often broad; however, once the patient's infectious syndrome, microbiology, and susceptibilities are more defined, it is important to refine antimicrobial therapy. Despite the potential benefits of an “antimicrobial de-escalation” approach, it may be difficult to enforce in clinical practice. Mayo Clinic's Computer-Based Antimicrobial Monitoring System (CBAM) is a medical-informatics tool that was used to assist in this endeavor. This study evaluates the hypothesis that CBAM can enhance the de-escalation of vancomycin and broad-spectrum combination antimicrobial therapy. Methods Hospitalized patients at the Mayo Clinic were screened from January through June 2006 using rule-based algorithms incorporated by CBAM. Interventions were performed by physicians and pharmacists as pertinent. These patients were compared with a historical group of patients obtained by CBAM reporting capabilities. De-escalation rates and mean duration of antimicrobial therapy were compared between groups. Results Vancomycin de-escalation rates significantly improved from 33% to 68% with intervention ( P = 0.001). In addition, the average duration of therapy was decreased from 10.4 ± 7.3 days to 7.7 ± 2.4 days among patients who underwent vancomycin de-escalation per recommendation ( P = 0.014). Conclusions Utilizing the Mayo Clinic's CBAM system to identify potential patients for de-escalation is a unique approach and was successful at improving adherence to vancomycin de-escalation.