De novo mutations drive the spread of macrolide resistant Mycoplasma genitalium : mathematical modelling study

Cadosch, Dominique; Garcia, Victor; Althaus, Christian L.; Jensen, Jorgen Skov; Low, Nicola

doi:10.21256/zhaw-3856

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3856

Publication type:	Other (textual)
Title:	De novo mutations drive the spread of macrolide resistant Mycoplasma genitalium : mathematical modelling study
Authors:	Cadosch, Dominique Garcia, Victor Althaus, Christian L. Jensen, Jorgen Skov Low, Nicola
DOI:	10.21256/zhaw-3856 10.1101/321216
Extent:	25
Issue Date:	24-May-2018
Publisher / Ed. Institution:	Cold Spring Harbor Laboratory
Language:	English
Subjects:	Mycoplasma genitalium; Mathematical modelling; Sexually transmitted diseases
Subject (DDC):	570: Biology
Abstract:	The rapid spread of antimicrobial resistance in sexually transmitted infections caused by Mycoplasma genitalium is a growing concern. It is not yet clear to what degree macrolide resistance in M. genitalium results from the emergence of de novo mutations or the transmission of resistant strains. We analysed epidemiological data and developed a compartmental model to investigate the contribution of de novo macrolide resistance mutations to the spread of antimicrobial resistant M. genitalium. We fitted the model to data from France, Sweden and Denmark and estimated treatment rates and the time point of azithromycin introduction. In a meta-analysis of six studies, we estimated that de novo resistance develops in 12% (95% CI 7-17%, I2 44%) of azithromycin treated M. genitalium infections. Our model shows that the high probability of de novo resistance accelerates the spread of antimicrobial resistant M. genitalium in comparison with lower probabilities. The estimated per capita treatment rate in France was lower than in Denmark and Sweden but confidence intervals for the three estimates overlap. The estimated dates of introduction of azithromycin in each country are consistent with published reports. We conclude that clinical management strategies for M. genitalium should seek to limit the unnecessary use of macrolides.
URI:	https://digitalcollection.zhaw.ch/handle/11475/7945
Fulltext version:	Draft
License (according to publishing contract):	CC BY 4.0: Attribution 4.0 International
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Computational Life Sciences (ICLS)
Appears in collections:	Publikationen Life Sciences und Facility Management

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Cadosch, D., Garcia, V., Althaus, C. L., Jensen, J. S., & Low, N. (2018). De novo mutations drive the spread of macrolide resistant Mycoplasma genitalium : mathematical modelling study. Cold Spring Harbor Laboratory. https://doi.org/10.21256/zhaw-3856

Cadosch, D. et al. (2018) De novo mutations drive the spread of macrolide resistant Mycoplasma genitalium : mathematical modelling study. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.21256/zhaw-3856.

D. Cadosch, V. Garcia, C. L. Althaus, J. S. Jensen, and N. Low, De novo mutations drive the spread of macrolide resistant Mycoplasma genitalium : mathematical modelling study. Cold Spring Harbor Laboratory, 2018. doi: 10.21256/zhaw-3856.

CADOSCH, Dominique, Victor GARCIA, Christian L. ALTHAUS, Jorgen Skov JENSEN und Nicola LOW, 2018. De novo mutations drive the spread of macrolide resistant Mycoplasma genitalium : mathematical modelling study. Cold Spring Harbor Laboratory

Cadosch, Dominique, Victor Garcia, Christian L. Althaus, Jorgen Skov Jensen, and Nicola Low. 2018. De Novo Mutations Drive the Spread of Macrolide Resistant Mycoplasma Genitalium : Mathematical Modelling Study. Cold Spring Harbor Laboratory. https://doi.org/10.21256/zhaw-3856.

Cadosch, Dominique, et al. De Novo Mutations Drive the Spread of Macrolide Resistant Mycoplasma Genitalium : Mathematical Modelling Study. Cold Spring Harbor Laboratory, 2018, https://doi.org/10.21256/zhaw-3856.