JOURNAL ARTICLE

Costs associated with invasive Scedosporium and Lomentospora prolificans infections: a case-control study.

  • Published In: Journal of Antimicrobial Chemotherapy (JAC), 2024, v. 79, n. 1. P. 46 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Neoh, Chin Fen; Chen, Sharon C A; Kong, David C M; Hamilton, Kate; Nguyen, Quoc A; Spelman, Tim; Tew, Michelle; Harvey, Emma L; Ho, Su Ann; Saunders, Natalie R; Tennakoon, Surekha; Crowe, Amy; Marriott, Debbie; Trubiano, Jason A; Slavin, Monica A 3 of 3

Abstract

This article focuses on the short- and long-term healthcare costs associated with invasive infections caused by Scedosporium species and Lomentospora prolificans, uncommon mould pathogens particularly affecting immunocompromised patients. A retrospective case-control study across six Australian hospitals found that these infections independently increased median excess hospitalization costs by AUD36,422 and length of stay by 16.27 days during the index admission, with inpatient stay and antifungal therapy as major cost drivers. Over 1.5 years, cumulative costs for survivors rose substantially to a median of AUD203,292, with higher costs observed in patients with haematological malignancy or haematopoietic stem cell transplant and those infected with L. prolificans. These findings highlight the significant economic burden of invasive Scedosporium/L. prolificans infections and provide essential data to inform cost-effectiveness analyses of novel antifungal treatments and healthcare resource allocation.

Additional Information

  • Source:Journal of Antimicrobial Chemotherapy (JAC). 2024/01, Vol. 79, Issue 1, p46
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2024
  • ISSN:0305-7453
  • DOI:10.1093/jac/dkad345
  • Accession Number:174559802
  • Copyright Statement:Copyright of Journal of Antimicrobial Chemotherapy (JAC) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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