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751. Decoding a Decade: Temporal Trends of MIC Distribution of Antifungals Against Cryptococcus species From a Reference Laboratory

BACKGROUND: There are not established clinical breakpoints (CBP) for antifungals against Cryptococcus species; However, the analysis of their MICs using epidemiological cut-off values (ECVs) can help to distinguish wild-type (WT) isolates from non-WT strains that may harbor intrinsic or acquired res...

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Autores principales: Ordaya, Eloy E, Abu Saleh, Omar M, Vergidis, Paschalis, Deml, Sharon, Wengenack, Nancy, Fida, Madiha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751563/
http://dx.doi.org/10.1093/ofid/ofac492.036
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author Ordaya, Eloy E
Abu Saleh, Omar M
Vergidis, Paschalis
Deml, Sharon
Wengenack, Nancy
Fida, Madiha
author_facet Ordaya, Eloy E
Abu Saleh, Omar M
Vergidis, Paschalis
Deml, Sharon
Wengenack, Nancy
Fida, Madiha
author_sort Ordaya, Eloy E
collection PubMed
description BACKGROUND: There are not established clinical breakpoints (CBP) for antifungals against Cryptococcus species; However, the analysis of their MICs using epidemiological cut-off values (ECVs) can help to distinguish wild-type (WT) isolates from non-WT strains that may harbor intrinsic or acquired resistance to antifungals. Herein, we analyze the MIC distribution of antifungals against Cryptococcus spp. isolated over the last decade at our reference laboratory. METHODS: We conducted a retrospective evaluation of antifungals MICs for Cryptococcus neoformans and Cryptococcus gattii complex isolates from various sources that were processed at the Mayo Clinic Laboratory from November 18, 2011 to June 7, 2021. Antifungal susceptibility testing was performed by the Clinical & Laboratory Standards Institute (CLSI) standards (CLSI M59-ED3:2020). We used recommended ECVs to define if the isolates were WT or non-WT, and described the change in the percentage of WT isolates over time. RESULTS: During the study period, C. neoformans was isolated from 632 samples collected from 533 patients. Sample sources included cultures from blood (n=301), cerebrospinal fluid (n=230), respiratory (n=71), and other sources (n=30). The overall percentage of WT isolates for amphotericin B (AMB), 5-flucytosine, and fluconazole were 77%, 98% and 91% respectively with no significant difference based on various sources (Table). We noticed an overall increase in MICs for AMB, with 100% WT isolates in 2011 compared to 79% in 2021. No such increase was seen for fluconazole or 5-Flucytosine (Figure). Irrespective of the source or the year of isolation, WT strains for itraconazole, voriconazole, and posaconazole were consistently > 93%. C. gattii was isolated from 16 samples, and 94% were WT strains for AMB and 100% for the other antifungals. [Figure: see text] CLSI, Clinical and Laboratory Standard Institute; CSF, cerebrospinal fluid; ECVs, epidemiologic cut-off values. [Figure: see text] AMB, amphotericin B; FLU, fluconazole; 5FC, 5-flucytosine. CONCLUSION: In the last decade, we have observed an overall increase in MICs of AMB for C. neoformans. The number of WT strains for other antifungals was high and not significantly changed during the study frame. Further studies are needed to identify the clinical implications of these findings. DISCLOSURES: Paschalis Vergidis, MD, AbbVie: DSMB|Cidara: Grant/Research Support|Scynexis: Grant/Research Support.
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spelling pubmed-97515632022-12-16 751. Decoding a Decade: Temporal Trends of MIC Distribution of Antifungals Against Cryptococcus species From a Reference Laboratory Ordaya, Eloy E Abu Saleh, Omar M Vergidis, Paschalis Deml, Sharon Wengenack, Nancy Fida, Madiha Open Forum Infect Dis Abstracts BACKGROUND: There are not established clinical breakpoints (CBP) for antifungals against Cryptococcus species; However, the analysis of their MICs using epidemiological cut-off values (ECVs) can help to distinguish wild-type (WT) isolates from non-WT strains that may harbor intrinsic or acquired resistance to antifungals. Herein, we analyze the MIC distribution of antifungals against Cryptococcus spp. isolated over the last decade at our reference laboratory. METHODS: We conducted a retrospective evaluation of antifungals MICs for Cryptococcus neoformans and Cryptococcus gattii complex isolates from various sources that were processed at the Mayo Clinic Laboratory from November 18, 2011 to June 7, 2021. Antifungal susceptibility testing was performed by the Clinical & Laboratory Standards Institute (CLSI) standards (CLSI M59-ED3:2020). We used recommended ECVs to define if the isolates were WT or non-WT, and described the change in the percentage of WT isolates over time. RESULTS: During the study period, C. neoformans was isolated from 632 samples collected from 533 patients. Sample sources included cultures from blood (n=301), cerebrospinal fluid (n=230), respiratory (n=71), and other sources (n=30). The overall percentage of WT isolates for amphotericin B (AMB), 5-flucytosine, and fluconazole were 77%, 98% and 91% respectively with no significant difference based on various sources (Table). We noticed an overall increase in MICs for AMB, with 100% WT isolates in 2011 compared to 79% in 2021. No such increase was seen for fluconazole or 5-Flucytosine (Figure). Irrespective of the source or the year of isolation, WT strains for itraconazole, voriconazole, and posaconazole were consistently > 93%. C. gattii was isolated from 16 samples, and 94% were WT strains for AMB and 100% for the other antifungals. [Figure: see text] CLSI, Clinical and Laboratory Standard Institute; CSF, cerebrospinal fluid; ECVs, epidemiologic cut-off values. [Figure: see text] AMB, amphotericin B; FLU, fluconazole; 5FC, 5-flucytosine. CONCLUSION: In the last decade, we have observed an overall increase in MICs of AMB for C. neoformans. The number of WT strains for other antifungals was high and not significantly changed during the study frame. Further studies are needed to identify the clinical implications of these findings. DISCLOSURES: Paschalis Vergidis, MD, AbbVie: DSMB|Cidara: Grant/Research Support|Scynexis: Grant/Research Support. Oxford University Press 2022-12-15 /pmc/articles/PMC9751563/ http://dx.doi.org/10.1093/ofid/ofac492.036 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Ordaya, Eloy E
Abu Saleh, Omar M
Vergidis, Paschalis
Deml, Sharon
Wengenack, Nancy
Fida, Madiha
751. Decoding a Decade: Temporal Trends of MIC Distribution of Antifungals Against Cryptococcus species From a Reference Laboratory
title 751. Decoding a Decade: Temporal Trends of MIC Distribution of Antifungals Against Cryptococcus species From a Reference Laboratory
title_full 751. Decoding a Decade: Temporal Trends of MIC Distribution of Antifungals Against Cryptococcus species From a Reference Laboratory
title_fullStr 751. Decoding a Decade: Temporal Trends of MIC Distribution of Antifungals Against Cryptococcus species From a Reference Laboratory
title_full_unstemmed 751. Decoding a Decade: Temporal Trends of MIC Distribution of Antifungals Against Cryptococcus species From a Reference Laboratory
title_short 751. Decoding a Decade: Temporal Trends of MIC Distribution of Antifungals Against Cryptococcus species From a Reference Laboratory
title_sort 751. decoding a decade: temporal trends of mic distribution of antifungals against cryptococcus species from a reference laboratory
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751563/
http://dx.doi.org/10.1093/ofid/ofac492.036
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