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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6308934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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