{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T10:52:35Z","timestamp":1776682355385,"version":"3.51.2"},"reference-count":31,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2019,12,4]],"date-time":"2019-12-04T00:00:00Z","timestamp":1575417600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001779","name":"Monash University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001779","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Mycoses"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:title>Summary<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Invasive fungal diseases (IFD) are associated with significant treatment\u2010related costs in patients with haematological malignancies (HM).<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>The objectives of this study were to characterise the gross and attributable hospitalisation costs of a variety of IFD in patients with HM by linking state\u2010wide hospital administrative and costing datasets.<\/jats:p><\/jats:sec><jats:sec><jats:title>Patients\/Methods<\/jats:title><jats:p>We linked the Victorian Admitted Episodes Dataset, Victorian Cancer Registry and the Victorian Cost Data Collection from 1 July 2009 to 30 June 2015. IFD cases and uninfected controls were matched 1:1 based on age within ten years, same underlying HM and length of stay prior to IFD diagnosis. The cost difference between surviving cases and controls, indexed to 2019 Australian dollars (AUD) calculated twelve months from IFD diagnosis, was determined using Poisson and negative binomial regression (NBR).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>From 334 matched pairs, the gross hospitalisation cost of cases was AUD$67\u00a0277 compared to AUD$51\u00a0158 among uninfected controls, associated with an excess median hospitalisation cost of AUD$16\u00a0119 (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001) attributable to IFD, approximating to USD$11\u00a0362 and \u20ac10\u00a0154 at purchasing power parity. Median attributable costs were highest for patients with invasive aspergillosis (AUD$55\u00a0642; <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001) and mucormycosis (AUD$51\u00a0272; <jats:italic>P<\/jats:italic>\u00a0=\u00a0.043) followed by invasive candidiasis AUD$24\u00a0572 (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001). No change in median excess attributable costs was observed over the study period (<jats:italic>P<\/jats:italic>\u00a0=\u00a0.90) Analyses by NBR revealed a 1.36\u2010fold increase (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001) in total hospitalisation costs among cases as compared to controls twelve months from IFD diagnosis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Invasive aspergillosis and mucormycosis have high attributable hospitalisation costs but the overall excess IFD cost of AUD$16\u00a0119 is modest, potentially reflecting missed or miscoded fungal episodes arguing for better quality surveillance data at hospital level.<\/jats:p><\/jats:sec>","DOI":"10.1111\/myc.13033","type":"journal-article","created":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T20:39:57Z","timestamp":1573591197000},"page":"162-171","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["A population\u2010based analysis of attributable hospitalisation costs of invasive fungal diseases in haematological malignancy patients using data linkage of state\u2010wide registry and costing databases: 2009\u20102015"],"prefix":"10.1111","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3076-9182","authenticated-orcid":false,"given":"Jake C.","family":"Valentine","sequence":"first","affiliation":[{"name":"Department of Infectious Diseases Alfred Health and Central Clinical School Monash University Melbourne Vic Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C. Orla","family":"Morrissey","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases Alfred Health and Central Clinical School Monash University Melbourne Vic Australia"},{"name":"Malignant Haematology and Stem Cell Transplantation Service Alfred Health Melbourne Vic Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark A.","family":"Tacey","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine Monash University Melbourne Vic Australia"},{"name":"Department of Radiation Oncology Olivia Newton\u2010John Cancer Wellness and Research Centre Austin Health Heidelberg Vic Australia"},{"name":"Faculty of Medicine Dentistry and Health Sciences University of Melbourne Melbourne Vic Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danny","family":"Liew","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine Monash University Melbourne Vic Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sushrut","family":"Patil","sequence":"additional","affiliation":[{"name":"Malignant Haematology and Stem Cell Transplantation Service Alfred Health Melbourne Vic Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7164-3108","authenticated-orcid":false,"given":"Michelle","family":"Ananda\u2010Rajah","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases Alfred Health and Central Clinical School Monash University Melbourne Vic Australia"},{"name":"General Medicine Unit Alfred Health Melbourne Vic Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,12,4]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1128\/AAC.01423-10"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/cid\/ciy776"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/jac\/dks210"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-016-2023-z"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1439-0507.2012.02193.x"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.1875-9114.2012.01124"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.2146\/ajhp080325"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1439-0507.2010.01903.x"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijid.2008.02.013"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.2165\/00044011-200828080-00006"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-019-3901-y"},{"key":"e_1_2_8_13_1","unstructured":"Australian Bureau of Statistics: Australian Demographic Statistics. 2018.http:\/\/www.abs.gov.au\/ausstats\/abs@.nsf\/0\/D56C4A3E41586764CA2581A70015893E?OpendocumentAccessed May 20 2019."},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhin.2018.11.003"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmi.2016.01.005"},{"key":"e_1_2_8_16_1","first-page":"8(9)","article-title":"Closing the gap in surveillance and audit of invasive mold diseases for antifungal stewardship using machine learning","author":"Baggio D","year":"2019","journal-title":". 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