Global guideline for the diagnosis and management of rare mould infections: an initiative of the European Confederation of Medical Mycology in cooperation with the International Society for Human and Animal Mycology and the American Society for Microbiology

芹茎孢 指南 拟青霉 医学真菌学 毛孔 毛霉病 重症监护医学 多学科方法 抗真菌 医学 真菌学 政治学 伏立康唑 生物 微生物学 病理 皮肤病科 生态学 古生物学 法学
作者
Martin Hoenigl,Jon Salmanton‐García,Thomas J. Walsh,Márcio Nucci,Chin Fen Neoh,Jeffrey D. Jenks,Michaela Lackner,Rosanne Sprute,Abdullah M. S. Al‐Hatmi,Matteo Bassetti,Fabianne Carlesse,Tomáš Freiberger,Philipp Koehler,Thomas Lehrnbecher,Anil Kumar,Juergen Prattes,Malcolm Richardson,Sanjay G. Revankar,Monica A. Slavin,Jannik Stemler
出处
期刊:Lancet Infectious Diseases [Elsevier BV]
卷期号:21 (8): e246-e257 被引量:316
标识
DOI:10.1016/s1473-3099(20)30784-2
摘要

With increasing numbers of patients needing intensive care or who are immunosuppressed, infections caused by moulds other than Aspergillus spp or Mucorales are increasing. Although antifungal prophylaxis has shown effectiveness in preventing many invasive fungal infections, selective pressure has caused an increase of breakthrough infections caused by Fusarium, Lomentospora, and Scedosporium species, as well as by dematiaceous moulds, Rasamsonia, Schizophyllum, Scopulariopsis, Paecilomyces, Penicillium, Talaromyces and Purpureocillium species. Guidance on the complex multidisciplinary management of infections caused by these pathogens has the potential to improve prognosis. Management routes depend on the availability of diagnostic and therapeutic options. The present recommendations are part of the One World—One Guideline initiative to incorporate regional differences in the epidemiology and management of rare mould infections. Experts from 24 countries contributed their knowledge and analysed published evidence on the diagnosis and treatment of rare mould infections. This consensus document intends to provide practical guidance in clinical decision making by engaging physicians and scientists involved in various aspects of clinical management. Moreover, we identify areas of uncertainty and constraints in optimising this management.
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