Modeling Invasive Aspergillosis Risk for the Application of Prophylaxis Strategies

Author:

Young Jo-Anne H1ORCID,Andes David R2ORCID,Ardura Monica I3ORCID,Arrieta Antonio4,Bow Eric J5ORCID,Chandrasekar Pranatharthi H6ORCID,Chen Sharon C A7ORCID,Hammond Sarah P8ORCID,Husain Shahid9ORCID,Koo Sophia10,Lavergne Valéry11ORCID,Nguyen M Hong12ORCID,Patterson Thomas F13ORCID,So Miranda9ORCID,Thompson George R14ORCID,Morrissey C Orla15ORCID,Schuster Mindy G16ORCID

Affiliation:

1. Department of Medicine, University of Minnesota , Minneapolis, Minnesota , USA

2. Departments of Medicine and Medical Microbiology and Immunology, University of Wisconsin–Madison , Madison, Wisconsin , USA

3. Department of Pediatrics, The Ohio State University College of Medicine , Columbus, Ohio , USA

4. Department of Pediatrics, Children's Hospital of Orange County , Orange, California , USA

5. Departments of Medical Microbiology and Infectious Diseases, and Internal Medicine, CancerCare Manitoba and the University of Manitoba , Winnipeg , Canada

6. Department of Medicine, Wayne State University , Detroit, Michigan , USA

7. Centre of Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, Westmead Hospital and the University of Sydney , Sydney, New South Wales , Australia

8. Divisions of Infectious Diseases and Hematology Oncology, Massachusetts General Hospital, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School , Boston, Massachusetts , USA

9. University Health Network, University of Toronto , Toronto, Ontario , Canada

10. Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School , Boston, Massachusetts , USA

11. Department of Medical Microbiology and Infection Control, Vancouver General Hospital, Vancouver, British Columbia, University of Montreal Research Center , Montreal, Quebec , Canada

12. Department of Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania , USA

13. Department of Medicine, University of Texas Health Science Center at San Antonio , San Antonio, Texas , USA

14. Departments of Internal Medicine and Medical Microbiology and Immunology, University of California, Davis , Davis, California , USA

15. Department of Infectious Diseases, Monash University , Melbourne, Victoria , Australia

16. Department of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania , USA

Abstract

Abstract The epidemiology of invasive aspergillosis (IA) is evolving. To define the patient groups who will most likely benefit from primary or secondary Aspergillus prophylaxis, particularly those whose medical conditions and IA risk change over time, it is helpful to depict patient populations and their risk periods in a temporal visual model. The Sankey approach provides a dynamic figure to understand the risk of IA for various patient populations. While the figure depicted within this article is static, an internet-based version could provide pop-up highlights of any given flow's origin and destination nodes. A future version could highlight links to publications that support the color-coded incidence rates or other actionable items, such as bundles of applicable pharmacologic or non-pharmacologic interventions. The figure, as part of the upcoming Infectious Diseases Society of America's aspergillosis clinical practice guidelines, can guide decision-making in clinical settings.

Publisher

Oxford University Press (OUP)

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2. Exploring patient path through Sankey diagram: a proof of concept;Lamer;Stud Health Technol Inform,2020

3. Visions and re-visions of Charles Joseph Minard;Friendly;J Educ Behav Stat,2002

4. The thermal efficiency of steam-engines;Kennedy;Minutes Proc Inst Civ Eng,1898

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