{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T02:37:24Z","timestamp":1790476644936,"version":"4.1.0"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Gilead Sciences Ltd"},{"name":"Gilead UK and Ireland Fellowship and Medical Grants Programme","award":["14682"],"award-info":[{"award-number":["14682"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Patients with hematological malignancy are at high risk of invasive fungal infections (IFIs). Diagnosis is challenging, which can lead to overtreatment. Reducing exposure to inappropriate antifungal prescribing is likely to improve patient safety, but modifying prescribing behavior is difficult. We aimed to describe patterns and drivers of therapeutic antifungal prescribing in a large tertiary hemato-oncology center in the United Kingdom.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We studied adults receiving treatment for acute leukemia at our center between 1 April 2019 and 14 October 2022. We developed a reproducible method to analyze routinely collected data on antifungal therapy episodes in a widely used electronic health record system. We report antifungal use in days of therapy stratified by level of diagnostic confidence, as defined by consensus diagnostic guidelines (European Organisation for Research and Treatment of Cancer\/Mycoses Study Group).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Two hundred ninety-eight patients were included in the analysis; 21.7% of inpatient antifungal use occurred in cases of proven\/probable IFI. Substantial antifungal use occurred in the absence of strong evidence of infection in patients receiving high-intensity first-line chemotherapy or approaching death (81.0% and 77.9%, respectively). Approximately 33% of high-resolution computed tomography (HRCT) reports were indeterminate for IFI. Indeterminate reports were around 8 times more likely to be followed by a new antifungal therapy episode than a negative report.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Antifungal stewardship remains challenging in the absence of reliable diagnostics, particularly in more unwell patients. The proportion of antifungal therapy given for proven\/probable infection is a new metric that will likely be useful to target antifungal stewardship programs. The thoracic HRCT report is an important contributor to diagnostic uncertainty.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ofid\/ofae094","type":"journal-article","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T22:14:31Z","timestamp":1709244871000},"source":"Crossref","is-referenced-by-count":5,"title":["Patterns and Drivers of Antifungal Prescribing in Acute Leukemia: A Retrospective Cohort Study"],"prefix":"10.1093","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5302-7563","authenticated-orcid":false,"given":"Hamish","family":"Houston","sequence":"first","affiliation":[{"name":"Department of Clinical Microbiology, University College London Hospitals NHS Foundation Trust , London , United Kingdom"},{"name":"Institute for Health Informatics, University College London , London , United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8942-9836","authenticated-orcid":false,"given":"Peter","family":"Dutey-Magni","sequence":"additional","affiliation":[{"name":"Medical Research Council Clinical Trials Unit, University College London , London , United Kingdom"},{"name":"Clinical and Research Informatics Unit, University College London Hospitals NHS Foundation Trust , London , United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew","family":"Steel","sequence":"additional","affiliation":[{"name":"Institute for Health Informatics, University College London , London , United Kingdom"},{"name":"Department of Haematology, University College London Hospitals NHS Foundation Trust , London , United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7309-1917","authenticated-orcid":false,"given":"Selina","family":"Patel","sequence":"additional","affiliation":[{"name":"Institute for Health Informatics, University College London , London , United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5742-0108","authenticated-orcid":false,"given":"Wai Keong","family":"Wong","sequence":"additional","affiliation":[{"name":"Clinical and Research Informatics Unit, University College London Hospitals NHS Foundation Trust , London , United Kingdom"},{"name":"Department of Haematology, University College London Hospitals NHS Foundation Trust , London , United 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