{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T07:20:40Z","timestamp":1787728840298,"version":"build-2784847793"},"reference-count":27,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T00:00:00Z","timestamp":1787270400000},"content-version":"vor","delay-in-days":20,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Mycoses"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Candidaemia remains a common, life\u2010threatening infection among intensive care unit (ICU) patients, with high mortality, particularly in patients with delayed diagnosis and treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This international, multicentre, prospective, observational study aimed to identify risk factors for candidaemia in ICU patients and to develop an easy\u2010to\u2010use predictive tool, the CanDi\u2010Score, for early initiation of empirical antifungal treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Patients\/Methods<\/jats:title>\n                    <jats:p>All adults over 18\u2009years hospitalised for more than 48\u2009h in the ICUs were included in the study and followed for 30\u2009days. Data on demographics, comorbidities, clinical severity scores including APACHE II and SOFA scores, Charlson comorbidity index (CCI), established risk factors for candidaemia and their time\u2010dependent effects such as total parenteral nutrition (TPN), mechanical ventilation (MV), and central venous catheter (CVC) were collected. Univariate and multivariate logistic regression analyses were used to identify factors associated with candidaemia development, and fast backwards variable selection was used. To account for between\u2010centre heterogeneity, sensitivity analyses were performed using mixed\u2010effects logistic regression models including centre\u2010specific random intercepts. A nomogram model was constructed using independent risk factors identified in multivariable analysis, and its predictive performance was evaluated with Area Under the Curve (AUC), sensitivity, and specificity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 2,704 ICU patients, including 204 with candidaemia, were enrolled. Patients with candidaemia had higher APACHE II (19 vs. 13) and CCI scores (6 vs. 5; both\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), and more frequently had chronic renal failure, haemodialysis, malignancy, recent gastrointestinal surgery, and neutropenia (all\n                      <jats:italic>p<\/jats:italic>\n                      \u2009\u2264\u20090.05). Patients were randomly split into development (80%) and validation (20%) cohorts. Multivariate analysis identified higher CCI, concurrent infection, neutropenia, ICU stay &gt;\u200914\u2009days, MV &gt;\u20093\u2009days, CVC duration and TPN &gt;\u200914\u2009days as independent risk factors. The risk associated with CVC increased substantially with prolonged use (OR: 0\u20137\u2009days: 3.69; 8\u201321\u2009days: 8.58; &gt;\u200921\u2009days: 17.21). The model demonstrated good performance in both the development and validation cohorts, with sensitivity, specificity, and AUC values of 79.6%, 76.5%, and 0.86 (95% CI: 0.83\u20130.88) in the development cohort, respectively, and comparable predictive performance in the validation cohort. The score model was demonstrated by a nomogram.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Given the high mortality of candidaemia in ICU patients, the CanDi\u2010Score may serve as a valuable tool for early prediction and timely empirical antifungal treatment. Key predictors include CCI, presence of concurrent infections, the duration of CVC use, and TPN administration. CanDi\u2010Score provides clinicians with a practical approach to identify high\u2010risk patients and guides decision\u2010making for the early initiation of antifungal treatment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/myc.70213","type":"journal-article","created":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T10:49:17Z","timestamp":1787309357000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development of Candidaemia Score (\n                    <scp>CanDi<\/scp>\n                    \u2010Score) in Decision of Early Empirical Antifungal Treatment for Patients in Intensive Care Unit: The International Prospective Observational\n                    <scp>ID<\/scp>\n                    \u2010\n                    <scp>IRI<\/scp>\n                    Study"],"prefix":"10.1111","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5225-8319","authenticated-orcid":false,"given":"Bircan","family":"Kayaaslan","sequence":"first","affiliation":[{"name":"Department of Infectious Diseases and Clinical Microbiology Ankara Yildirim Beyazit University Ankara Bilkent City Hospital  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Halime","family":"Araz","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases and Clinical Microbiology Ankara Bilkent City Hospital  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hatice Ya\u011fmur","family":"Zengin","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Hacettepe University Faculty of Medicine  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3155-4036","authenticated-orcid":false,"given":"Rukiyye","family":"Bulut","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases and Clinical Microbiology Necmettin Erbakan University Faculty of Medicine  Konya T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeynep","family":"Oktay","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases and Clinical Microbiology Ankara Bilkent City Hospital  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4689-720X","authenticated-orcid":false,"given":"Meltem","family":"Tasbakan","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases and Clinical Microbiology Ege University Faculty of Medicine  Izmir 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