{"title":"通过药代动力学模型和基于网络的创新工具，快速区分与静脉注射液污染有关的半乳甘露聚糖假阳性。","authors":"Raeseok Lee, Suein Choi, Hwajun Cha, Dukhee Nho, Sung-Yeon Cho, Seunghoon Han, Dong-Gun Lee","doi":"10.1093/ofid/ofaf088","DOIUrl":null,"url":null,"abstract":"<p><p>This study developed a pharmacokinetic model and web-based tool to distinguish true invasive aspergillosis from false positives caused by contaminated fluids. By analyzing galactomannan kinetics, false positives were identified within 24 hours, improving diagnostic accuracy and aiding clinicians in early decision making while minimizing unnecessary interventions.</p>","PeriodicalId":19517,"journal":{"name":"Open Forum Infectious Diseases","volume":"12 4","pages":"ofaf088"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11965789/pdf/","citationCount":"0","resultStr":"{\"title\":\"Rapid Differentiation of False Positives of Galactomannan Related to Contaminated Intravenous Fluids via a Pharmacokinetics Model and Innovative Web-Based Tool.\",\"authors\":\"Raeseok Lee, Suein Choi, Hwajun Cha, Dukhee Nho, Sung-Yeon Cho, Seunghoon Han, Dong-Gun Lee\",\"doi\":\"10.1093/ofid/ofaf088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study developed a pharmacokinetic model and web-based tool to distinguish true invasive aspergillosis from false positives caused by contaminated fluids. By analyzing galactomannan kinetics, false positives were identified within 24 hours, improving diagnostic accuracy and aiding clinicians in early decision making while minimizing unnecessary interventions.</p>\",\"PeriodicalId\":19517,\"journal\":{\"name\":\"Open Forum Infectious Diseases\",\"volume\":\"12 4\",\"pages\":\"ofaf088\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11965789/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Forum Infectious Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/ofid/ofaf088\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Forum Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ofid/ofaf088","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Rapid Differentiation of False Positives of Galactomannan Related to Contaminated Intravenous Fluids via a Pharmacokinetics Model and Innovative Web-Based Tool.
This study developed a pharmacokinetic model and web-based tool to distinguish true invasive aspergillosis from false positives caused by contaminated fluids. By analyzing galactomannan kinetics, false positives were identified within 24 hours, improving diagnostic accuracy and aiding clinicians in early decision making while minimizing unnecessary interventions.
期刊介绍：
Open Forum Infectious Diseases provides a global forum for the publication of clinical, translational, and basic research findings in a fully open access, online journal environment. The journal reflects the broad diversity of the field of infectious diseases, and focuses on the intersection of biomedical science and clinical practice, with a particular emphasis on knowledge that holds the potential to improve patient care in populations around the world. Fully peer-reviewed, OFID supports the international community of infectious diseases experts by providing a venue for articles that further the understanding of all aspects of infectious diseases.
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