Patterns and Drivers of Antifungal Prescribing in Acute Leukemia: A Retrospective Cohort Study

Hamish Houston1,2, Peter Dutey-Magni3,4, Matthew Steel2,5

  • 1Department of Clinical Microbiology, University College London Hospitals NHS Foundation Trust, London, United Kingdom.

PubMed
Abstract

Insights

Antifungal prescribing for invasive fungal infections (IFIs) in hemato-oncology patients is often not supported by clear diagnostic evidence. Improving diagnostic confidence is key to optimizing antifungal stewardship and patient safety.

Area of Science:

  • Hematology
  • Oncology
  • Infectious Diseases
  • Clinical Pharmacology

Background:

  • Patients with hematological malignancy face a high risk of invasive fungal infections (IFIs).
  • Accurate diagnosis of IFIs is challenging, often leading to overtreatment with antifungals.
  • Modifying prescribing behavior for antifungals is difficult, impacting patient safety.

Purpose of the Study:

  • To describe patterns and drivers of therapeutic antifungal prescribing.
  • To analyze antifungal use in a UK tertiary hemato-oncology center.
  • To stratify antifungal use by diagnostic confidence levels.

Main Methods:

  • Analysis of routinely collected electronic health record data.
  • Study of adult acute leukemia patients (April 2019 - October 2022).
  • Development of a reproducible method for analyzing antifungal therapy episodes.

Main Results:

  • 21.7% of inpatient antifungal use was for proven/probable IFIs.
  • Significant antifungal use occurred without strong infection evidence (81.0% in high-intensity chemotherapy, 77.9% near death).
  • Indeterminate high-resolution computed tomography (HRCT) reports increased new antifungal therapy episodes eightfold compared to negative reports.

Conclusions:

  • Antifungal stewardship is challenging due to diagnostic uncertainty, especially in critically ill patients.
  • The proportion of antifungal therapy for proven/probable infection is a novel metric for stewardship programs.
  • Thoracic HRCT reports contribute significantly to diagnostic uncertainty regarding IFIs.