Development and Applications of Prognostic Risk Models in the Management of Invasive Mold Disease

Marta Stanzani1, Russell E Lewis2

  • 1Institute of Hematology "Lorenzo e Ariosto Seràgnoli", Department of Hematology and Clinical Oncology, S. Orsola-Malpighi Hospital, University of Bologna, 40138 Bologna, Italy. marta.stanzani2@unibo.it.

Insights

Developing prognostic models for invasive mold diseases in hematological malignancy patients is crucial. These risk scores can personalize treatment, improve diagnostics, and guide antifungal stewardship for better patient outcomes.

Area of Science:

  • Medical Mycology
  • Hematology
  • Epidemiology

Background:

  • Prognostic models are vital for assessing complex diseases.
  • Risk models for invasive mold diseases in hematological malignancy patients are under-developed.
  • Epidemiological research on mold diseases in these patients is extensive.

Purpose of the Study:

  • To review the development of prognostic models for mold disease.
  • To summarize experience with the BOSCORE model for invasive mold diseases.
  • To discuss the impact of prognostic risk scores on patient care and research.

Main Methods:

  • Literature review of recent studies on prognostic models for mold disease.
  • Summary of the development and clinical application of the BOSCORE model.
  • Discussion of the implications of prognostic risk scores.

Main Results:

  • Recent studies have focused on developing prognostic models for mold disease.
  • The BOSCORE model has been developed and used clinically.
  • Prognostic risk scores have potential impacts on therapy, diagnostics, and stewardship.

Conclusions:

  • There is a need for more research and development of risk models for invasive mold diseases in hematological malignancy patients.
  • The BOSCORE model serves as an example of a clinical tool for risk stratification.
  • Prognostic risk scores can significantly influence individualized therapy, diagnostic strategies, and antifungal stewardship.

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