{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T19:47:08Z","timestamp":1771530428104,"version":"3.50.1"},"reference-count":38,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2020,11,22]],"date-time":"2020-11-22T00:00:00Z","timestamp":1606003200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Mycoses"],"published-print":{"date-parts":[[2021,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Early diagnosis of invasive fungal diseases (IFDs) remains a major challenge in routine clinical practice.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>The aim of this retrospective cohort study was to evaluate the diagnostic performance of the fungal biomarker (1,3)\u2010\u00df\u2010<jats:sc>d<\/jats:sc>\u2010glucan (BDG) using the \u03b2\u2010Glucan test (GT) and the well\u2010established Fungitell assay\u00ae (FA) in real\u2010life clinical practice.<\/jats:p><\/jats:sec><jats:sec><jats:title>Patients\/Methods<\/jats:title><jats:p>We included 109 patients with clinical suspicion of IFD who were treated at Jena University Hospital, Germany, between November 2018 and March 2019. The patients were classified according to the latest update of the EORTC\/MSG consensus definitions of IFD. The first serum sample of every patient was analysed for BDG using the FA and the GT, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Fifty\u2010six patients (51.4%) had at least one host factor for IFD. In patients with proven (<jats:italic>n<\/jats:italic>\u00a0=\u00a011) or probable IFDs (<jats:italic>n<\/jats:italic>\u00a0=\u00a020), median BDG concentrations were 145.0\u00a0pg\/ml for the FA and 5.1\u00a0pg\/ml for the GT, respectively. A positive test result of both BDG assays at manufacturer's cut\u2010offs predicted 89.5%\u201098.3% of proven or probable IFD, but the sensitivity of both assays was limited: The FA identified 60.7% of IFDs (cut\u2010off: 80\u00a0pg\/ml). Reducing the GT cut\u2010off value from 11.0 to 4.1\u00a0pg\/ml increased the detection rate of IFDs from 35.5% to 54.8%.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>A positive test result of both BDG assays at manufacturer's cut\u2010off was highly predictive for IFD, but except for <jats:italic>Pneumocystis jirovecii<\/jats:italic> pneumonia sensitivities were limited. Adjustment of the GT cut\u2010off value equalised sensitivities of GT and FA.<\/jats:p><\/jats:sec>","DOI":"10.1111\/myc.13207","type":"journal-article","created":{"date-parts":[[2020,11,6]],"date-time":"2020-11-06T16:15:49Z","timestamp":1604679349000},"page":"212-219","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Clinical evaluation of two different (1,3)\u2010\u00df\u2010<scp>d<\/scp>\u2010glucan assays for diagnosis of invasive fungal diseases: A retrospective cohort study"],"prefix":"10.1111","volume":"64","author":[{"given":"Marta","family":"Zubkowicz","sequence":"first","affiliation":[{"name":"Institute for Infectious Diseases and Infection Control Jena University Hospital\/Friedrich\u2010Schiller\u2010University Jena 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W.","family":"Pletz","sequence":"additional","affiliation":[{"name":"Institute for Infectious Diseases and Infection Control Jena University Hospital\/Friedrich\u2010Schiller\u2010University Jena Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6462-2579","authenticated-orcid":false,"given":"Miriam","family":"Kesselmeier","sequence":"additional","affiliation":[{"name":"Research Group Clinical Epidemiology Centre for Sepsis Control and Care (CSCC) Jena University Hospital\/Friedrich\u2010Schiller\u2010University Jena Germany"},{"name":"Institute of Medical Statistics, Computer and Data Sciences Jena University Hospital\/Friedrich\u2010Schiller\u2010University Jena Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2999-6131","authenticated-orcid":false,"given":"Stefan","family":"Hagel","sequence":"additional","affiliation":[{"name":"Institute for Infectious Diseases and Infection 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