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May 25, 2026Journal of Pharmacy Technology0 citations

Impact of a Pharmacy-Driven (1,3)-β-D-Glucan Algorithm on Micafungin Duration of Therapy in the ICU

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DKDaniella J. Abi KheirKMKevin MorilesACAmy Carr

Key Points

  • This study aims to evaluate the effect of a pharmacy-driven (1,3)-β-D-glucan algorithm on the duration of micafungin therapy compared to standard care.
  • Retrospective, multisite, pre-post cohort design
  • Included nonneutropenic critically ill adults on empiric micafungin
  • Compared micafungin duration of therapy between BDG algorithm and standard of care.
  • Micafungin duration of therapy was not significantly different overall (94.7 vs 95.4 hours; P = .84)
  • Duration was significantly shorter when BDG results were received within 48 hours (53.0 vs 140.7 hours; P = .014)
  • Shorter therapy duration was also noted with algorithm compliance after negative results (47.6 vs 94.7 hours; P = .005).

Abstract

Background: The (1,3)-β-D-glucan (BDG) test can be used as a stewardship approach to decrease antifungal overutilization, development of resistance, and excess costs. Objective: This study assessed the impact that a BDG algorithm has on micafungin duration of therapy (DOT) compared to standard of care (SOC). Methods: This retrospective, multisite, pre-post cohort study at a tertiary health system included nonneutropenic critically ill adults on empiric micafungin with risk factors for invasive candidiasis (IC). A BDG algorithm was utilized and compared to SOC for micafungin DOT. Secondary outcomes included length of stay (LOS), mortality, 30-day readmissions, cost, and BDG performance. Results: A total of 110 patients were included, with 55 patients per group. Overall, micafungin DOT was not different (94.7 45.0-146.3 vs 95.4 49.2-206.4 hours; P = .84) but was significantly shorter when BDG resulted within 48 hours (53.0 46.1-98.1 vs 140.7 72.8-226.6 hours; P = .014) or with algorithm compliance following negative results (47.6 35.6-68.8 vs 94.7 45.0-146.3 hours; P = .005). The test had negative and positive predictive values of 96.6% and 11.5%, respectively, with dialysis patients most likely to correlate with false positives (phi = 0.40, 95% CI: 0.15-0.60, P = .002). Patients who were immunocompromised or underwent surgery had prolonged DOT. Conclusion: A pharmacy-driven BDG algorithm did not significantly decrease micafungin DOT except with BDG results within 48 hours or with algorithm compliance following negative results. The BDG test may have less impact in immunocompromised, surgery, and dialysis patients. This highlights the need for research in antifungal stewardship to optimize patient outcomes.

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Cite This Study

Kheir et al. (2026) studied this question.

synapsesocial.com/papers/6a13e81d0e02ee3982d32d67https://doi.org/10.1177/87551225261446911
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