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Multivariate predictive model for predicting in-hospital mortality in HIV-associated talaromycosis: a multicenter retrospective study.

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Title: Multivariate predictive model for predicting in-hospital mortality in HIV-associated talaromycosis: a multicenter retrospective study.
Authors: Wan Z; The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China., Wang M; The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.; Xixi Hospital of Hangzhou, Hangzhou, China., Zhang W; Department of Infectious Disease, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Zhou Y; Department of Infectious Disease, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Zhu B; The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Source: PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2026 Jun 08; Vol. 20 (6), pp. e0014432. Date of Electronic Publication: 2026 Jun 08 (Print Publication: 2026).
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection Cited Medium: Internet ISSN: 1935-2735 (Electronic) Linking ISSN: 19352727 NLM ISO Abbreviation: PLoS Negl Trop Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Multivariate predictive model for predicting in-hospital mortality in HIV-associated talaromycosis: a multicenter retrospective study.
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  Data: <searchLink fieldCode="AU" term="%22Wan+Z%22">Wan Z</searchLink>; The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+M%22">Wang M</searchLink>; The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.; Xixi Hospital of Hangzhou, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhang+W%22">Zhang W</searchLink>; Department of Infectious Disease, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; Department of Infectious Disease, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhu+B%22">Zhu B</searchLink>; The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101291488 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1935-2735 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219352727%22">19352727 </searchLink><i>NLM ISO Abbreviation: </i>PLoS Negl Trop Dis <i>Subsets: </i>MEDLINE
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        Value: 10.1371/journal.pntd.0014432
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              Text: 2026 Jun 08
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