Assessment of the molecular identification algorithm and its impact on antifungal susceptibilities against clinical <i>Fusarium</i> isolates: a multicentre study in Taiwan, 2011–2023

Our findings indicated the two-step molecular algorithm accurately identifies <i>Fusarium</i> to species level. Further, we underscored the significance of considering both <i>Fusarium</i> SCs and species for predicting antifungal susceptibility, particularly to olorofim and amphotericin B.

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Publication Details

Journal
JAC-Antimicrobial Resistance
Published
2026-01-07
DOI
https://doi.org/10.1093/jacamr/dlag022
Primary Topic
Antifungal resistance and susceptibility
Type
article
Field-Weighted Citation Impact
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article

Assessment of the molecular identification algorithm and its impact on antifungal susceptibilities against clinical Fusarium isolates: a multicentre study in Taiwan, 2011–2023

W. Liu, Yuehua Chen, Pao-Yu Chen, Chi-Jung Wu et al.
JAC-Antimicrobial Resistance
Antifungal resistance and susceptibility
article

Assessment of the molecular identification algorithm and its impact on antifungal susceptibilities against clinical Fusarium isolates: a multicentre study in Taiwan, 2011–2023

W. Liu, Yuehua Chen, Pao-Yu Chen, Chi-Jung Wu, Un-In Wu
article en

Abstract

Our findings indicated the two-step molecular algorithm accurately identifies <i>Fusarium</i> to species level. Further, we underscored the significance of considering both <i>Fusarium</i> SCs and species for predicting antifungal susceptibility, particularly to olorofim and amphotericin B.

JAC-Antimicrobial ResistanceVol. 8(1)
National Health Research Institutes (TW), National Taiwan University (TW), National Taiwan University Hospital (TW), National Cheng Kung University Hospital (TW)
Life in Land
Openalex Percentile: Top 42%
Antifungal resistance and susceptibility
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