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

Prognostic models or risk scores are frequently used to aid individualize risk assessment for diseases with multiple, complex risk factors and diagnostic challenges. However, relatively little attention has been paid to the development of risk models for invasive mold diseases encountered in patient...

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Detalles Bibliográficos
Autores principales: Stanzani, Marta, Lewis, Russell E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308934/
https://www.ncbi.nlm.nih.gov/pubmed/30572637
http://dx.doi.org/10.3390/jof4040141
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author Stanzani, Marta
Lewis, Russell E.
author_facet Stanzani, Marta
Lewis, Russell E.
author_sort Stanzani, Marta
collection PubMed
description Prognostic models or risk scores are frequently used to aid individualize risk assessment for diseases with multiple, complex risk factors and diagnostic challenges. However, relatively little attention has been paid to the development of risk models for invasive mold diseases encountered in patients with hematological malignancies, despite a large body of epidemiological research. Herein we review recent studies that have described the development of prognostic models for mold disease, summarize our experience with the development and clinical use of one such model (BOSCORE), and discuss the potential impact of prognostic risk scores for individualized therapy, diagnostic and antifungal stewardship, as well as clinical and epidemiological research.
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spelling pubmed-63089342019-06-17 Development and Applications of Prognostic Risk Models in the Management of Invasive Mold Disease Stanzani, Marta Lewis, Russell E. J Fungi (Basel) Review Prognostic models or risk scores are frequently used to aid individualize risk assessment for diseases with multiple, complex risk factors and diagnostic challenges. However, relatively little attention has been paid to the development of risk models for invasive mold diseases encountered in patients with hematological malignancies, despite a large body of epidemiological research. Herein we review recent studies that have described the development of prognostic models for mold disease, summarize our experience with the development and clinical use of one such model (BOSCORE), and discuss the potential impact of prognostic risk scores for individualized therapy, diagnostic and antifungal stewardship, as well as clinical and epidemiological research. MDPI 2018-12-19 /pmc/articles/PMC6308934/ /pubmed/30572637 http://dx.doi.org/10.3390/jof4040141 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Stanzani, Marta
Lewis, Russell E.
Development and Applications of Prognostic Risk Models in the Management of Invasive Mold Disease
title Development and Applications of Prognostic Risk Models in the Management of Invasive Mold Disease
title_full Development and Applications of Prognostic Risk Models in the Management of Invasive Mold Disease
title_fullStr Development and Applications of Prognostic Risk Models in the Management of Invasive Mold Disease
title_full_unstemmed Development and Applications of Prognostic Risk Models in the Management of Invasive Mold Disease
title_short Development and Applications of Prognostic Risk Models in the Management of Invasive Mold Disease
title_sort development and applications of prognostic risk models in the management of invasive mold disease
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308934/
https://www.ncbi.nlm.nih.gov/pubmed/30572637
http://dx.doi.org/10.3390/jof4040141
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