A single-source nosocomial outbreak of Aspergillus flavus uncovered by genotyping

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

A single-source nosocomial outbreak of Aspergillus flavus uncovered by genotyping. / Gewecke, A; Hare, R Krøger; Salgård, C; Kyndi, L; Høg, M; Petersen, G; Nahimana, D; Abou-Chakra, N; Knudsen, J D; Rosendahl, S; Vissing, N H; Arendrup, M C.

In: Microbiology Spectrum, Vol. 12, No. 8, e0027324, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Gewecke, A, Hare, RK, Salgård, C, Kyndi, L, Høg, M, Petersen, G, Nahimana, D, Abou-Chakra, N, Knudsen, JD, Rosendahl, S, Vissing, NH & Arendrup, MC 2024, 'A single-source nosocomial outbreak of Aspergillus flavus uncovered by genotyping', Microbiology Spectrum, vol. 12, no. 8, e0027324. https://doi.org/10.1128/spectrum.00273-24

APA

Gewecke, A., Hare, R. K., Salgård, C., Kyndi, L., Høg, M., Petersen, G., Nahimana, D., Abou-Chakra, N., Knudsen, J. D., Rosendahl, S., Vissing, N. H., & Arendrup, M. C. (2024). A single-source nosocomial outbreak of Aspergillus flavus uncovered by genotyping. Microbiology Spectrum, 12(8), [e0027324]. https://doi.org/10.1128/spectrum.00273-24

Vancouver

Gewecke A, Hare RK, Salgård C, Kyndi L, Høg M, Petersen G et al. A single-source nosocomial outbreak of Aspergillus flavus uncovered by genotyping. Microbiology Spectrum. 2024;12(8). e0027324. https://doi.org/10.1128/spectrum.00273-24

Author

Gewecke, A ; Hare, R Krøger ; Salgård, C ; Kyndi, L ; Høg, M ; Petersen, G ; Nahimana, D ; Abou-Chakra, N ; Knudsen, J D ; Rosendahl, S ; Vissing, N H ; Arendrup, M C. / A single-source nosocomial outbreak of Aspergillus flavus uncovered by genotyping. In: Microbiology Spectrum. 2024 ; Vol. 12, No. 8.

Bibtex

@article{d3ec905841604c86a2a075612ff8d43b,
title = "A single-source nosocomial outbreak of Aspergillus flavus uncovered by genotyping",
abstract = "During construction work (2017–2019), an increase in Aspergillus flavusinfections was noted among pediatric patients, the majority of whom were receivingamphotericin B prophylaxis. Microsatellite genotyping was used to characterize theoutbreak. A total of 153 A. flavus isolates of clinical and environmental origin wereincluded. Clinical isolates included 140 from 119 patients. Eight patients were outbreak-related patients, whereas 111 were outbreak-unrelated patients from Danish hospitals(1994–2023). We further included four control strains. Nine A. flavus isolates were fromsubsequent air sampling in the outbreak ward (2022–2023). Typing followed Rudramurthy et al.(S. M. Rudramurthy, H. A. de Valk, A. Chakrabarti, J. Meis, and C. H. W. Klaassen, PLoS One 6:e16086, 2011, https://doi.org/10.1371/journal.pone.0016086). Minimumspanning tree (MST) and discriminant analysis of principal components (DAPC) wereused for cluster analysis. DAPC analysis placed all 153 isolates in five clusters. Microsatellite marker pattern was clearly distinct for one cluster compared to the others.The same cluster was observed in an MST. This cluster included all outbreak isolates,air-sample isolates, and additional patient isolates from the outbreak hospital, previouslyundisclosed as outbreak related. The highest air prevalence of A. flavus was found intwo technical risers of the outbreak ward, which were then sealed. Follow-up air sampleswere negative for A. flavus. Microsatellite typing defined the outbreak as nosocomialand facilitated the identification of an in-hospital source. Six months of follow-upair sampling was without A. flavus. Outbreak-related/non-related isolates were easilydistinguished with DAPC and MST, as the outbreak clone{\textquoteright}s distinct marker pattern wasdelineated in both statistical analyses. Thus, it could be a variant of A. flavus, with a nicheability to thrive in the outbreak-hospital environment.",
author = "A Gewecke and Hare, {R Kr{\o}ger} and C Salg{\aa}rd and L Kyndi and M H{\o}g and G Petersen and D Nahimana and N Abou-Chakra and Knudsen, {J D} and S Rosendahl and Vissing, {N H} and Arendrup, {M C}",
year = "2024",
doi = "10.1128/spectrum.00273-24",
language = "English",
volume = "12",
journal = "Microbiology spectrum",
issn = "2165-0497",
publisher = "American Society for Microbiology",
number = "8",

}

RIS

TY - JOUR

T1 - A single-source nosocomial outbreak of Aspergillus flavus uncovered by genotyping

AU - Gewecke, A

AU - Hare, R Krøger

AU - Salgård, C

AU - Kyndi, L

AU - Høg, M

AU - Petersen, G

AU - Nahimana, D

AU - Abou-Chakra, N

AU - Knudsen, J D

AU - Rosendahl, S

AU - Vissing, N H

AU - Arendrup, M C

PY - 2024

Y1 - 2024

N2 - During construction work (2017–2019), an increase in Aspergillus flavusinfections was noted among pediatric patients, the majority of whom were receivingamphotericin B prophylaxis. Microsatellite genotyping was used to characterize theoutbreak. A total of 153 A. flavus isolates of clinical and environmental origin wereincluded. Clinical isolates included 140 from 119 patients. Eight patients were outbreak-related patients, whereas 111 were outbreak-unrelated patients from Danish hospitals(1994–2023). We further included four control strains. Nine A. flavus isolates were fromsubsequent air sampling in the outbreak ward (2022–2023). Typing followed Rudramurthy et al.(S. M. Rudramurthy, H. A. de Valk, A. Chakrabarti, J. Meis, and C. H. W. Klaassen, PLoS One 6:e16086, 2011, https://doi.org/10.1371/journal.pone.0016086). Minimumspanning tree (MST) and discriminant analysis of principal components (DAPC) wereused for cluster analysis. DAPC analysis placed all 153 isolates in five clusters. Microsatellite marker pattern was clearly distinct for one cluster compared to the others.The same cluster was observed in an MST. This cluster included all outbreak isolates,air-sample isolates, and additional patient isolates from the outbreak hospital, previouslyundisclosed as outbreak related. The highest air prevalence of A. flavus was found intwo technical risers of the outbreak ward, which were then sealed. Follow-up air sampleswere negative for A. flavus. Microsatellite typing defined the outbreak as nosocomialand facilitated the identification of an in-hospital source. Six months of follow-upair sampling was without A. flavus. Outbreak-related/non-related isolates were easilydistinguished with DAPC and MST, as the outbreak clone’s distinct marker pattern wasdelineated in both statistical analyses. Thus, it could be a variant of A. flavus, with a nicheability to thrive in the outbreak-hospital environment.

AB - During construction work (2017–2019), an increase in Aspergillus flavusinfections was noted among pediatric patients, the majority of whom were receivingamphotericin B prophylaxis. Microsatellite genotyping was used to characterize theoutbreak. A total of 153 A. flavus isolates of clinical and environmental origin wereincluded. Clinical isolates included 140 from 119 patients. Eight patients were outbreak-related patients, whereas 111 were outbreak-unrelated patients from Danish hospitals(1994–2023). We further included four control strains. Nine A. flavus isolates were fromsubsequent air sampling in the outbreak ward (2022–2023). Typing followed Rudramurthy et al.(S. M. Rudramurthy, H. A. de Valk, A. Chakrabarti, J. Meis, and C. H. W. Klaassen, PLoS One 6:e16086, 2011, https://doi.org/10.1371/journal.pone.0016086). Minimumspanning tree (MST) and discriminant analysis of principal components (DAPC) wereused for cluster analysis. DAPC analysis placed all 153 isolates in five clusters. Microsatellite marker pattern was clearly distinct for one cluster compared to the others.The same cluster was observed in an MST. This cluster included all outbreak isolates,air-sample isolates, and additional patient isolates from the outbreak hospital, previouslyundisclosed as outbreak related. The highest air prevalence of A. flavus was found intwo technical risers of the outbreak ward, which were then sealed. Follow-up air sampleswere negative for A. flavus. Microsatellite typing defined the outbreak as nosocomialand facilitated the identification of an in-hospital source. Six months of follow-upair sampling was without A. flavus. Outbreak-related/non-related isolates were easilydistinguished with DAPC and MST, as the outbreak clone’s distinct marker pattern wasdelineated in both statistical analyses. Thus, it could be a variant of A. flavus, with a nicheability to thrive in the outbreak-hospital environment.

U2 - 10.1128/spectrum.00273-24

DO - 10.1128/spectrum.00273-24

M3 - Journal article

C2 - 38888358

VL - 12

JO - Microbiology spectrum

JF - Microbiology spectrum

SN - 2165-0497

IS - 8

M1 - e0027324

ER -

ID: 395999316