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Detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study

BACKGROUND: Antibiotic resistance is threatening to make gonorrhoea untreatable. Point-of-care (POC) tests that detect resistance promise individually tailored treatment, but might lead to more treatment and higher levels of resistance. We investigate the impact of POC tests on antibiotic-resistant...

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Autores principales: Fingerhuth, Stephanie M., Low, Nicola, Bonhoeffer, Sebastian, Althaus, Christian L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530576/
https://www.ncbi.nlm.nih.gov/pubmed/28747205
http://dx.doi.org/10.1186/s12916-017-0881-x
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author Fingerhuth, Stephanie M.
Low, Nicola
Bonhoeffer, Sebastian
Althaus, Christian L.
author_facet Fingerhuth, Stephanie M.
Low, Nicola
Bonhoeffer, Sebastian
Althaus, Christian L.
author_sort Fingerhuth, Stephanie M.
collection PubMed
description BACKGROUND: Antibiotic resistance is threatening to make gonorrhoea untreatable. Point-of-care (POC) tests that detect resistance promise individually tailored treatment, but might lead to more treatment and higher levels of resistance. We investigate the impact of POC tests on antibiotic-resistant gonorrhoea. METHODS: We used data about the prevalence and incidence of gonorrhoea in men who have sex with men (MSM) and heterosexual men and women (HMW) to calibrate a mathematical gonorrhoea transmission model. With this model, we simulated four clinical pathways for the diagnosis and treatment of gonorrhoea: POC test with (POC+R) and without (POC−R) resistance detection, culture and nucleic acid amplification tests (NAATs). We calculated the proportion of resistant infections and cases averted after 5 years, and compared how fast resistant infections spread in the populations. RESULTS: The proportion of resistant infections after 30 years is lowest for POC+R (median MSM: 0.18%, HMW: 0.12%), and increases for culture (MSM: 1.19%, HMW: 0.13%), NAAT (MSM: 100%, HMW: 99.27%), and POC−R (MSM: 100%, HMW: 99.73%). Per 100 000 persons, NAAT leads to 36 366 (median MSM) and 1228 (median HMW) observed cases after 5 years. Compared with NAAT, POC+R averts more cases after 5 years (median MSM: 3353, HMW: 118). POC tests that detect resistance with intermediate sensitivity slow down resistance spread more than NAAT. POC tests with very high sensitivity for the detection of resistance are needed to slow down resistance spread more than by using culture. CONCLUSIONS: POC with high sensitivity to detect antibiotic resistance can keep gonorrhoea treatable longer than culture or NAAT. POC tests without reliable resistance detection should not be introduced because they can accelerate the spread of antibiotic-resistant gonorrhoea. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0881-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-55305762017-08-02 Detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study Fingerhuth, Stephanie M. Low, Nicola Bonhoeffer, Sebastian Althaus, Christian L. BMC Med Research Article BACKGROUND: Antibiotic resistance is threatening to make gonorrhoea untreatable. Point-of-care (POC) tests that detect resistance promise individually tailored treatment, but might lead to more treatment and higher levels of resistance. We investigate the impact of POC tests on antibiotic-resistant gonorrhoea. METHODS: We used data about the prevalence and incidence of gonorrhoea in men who have sex with men (MSM) and heterosexual men and women (HMW) to calibrate a mathematical gonorrhoea transmission model. With this model, we simulated four clinical pathways for the diagnosis and treatment of gonorrhoea: POC test with (POC+R) and without (POC−R) resistance detection, culture and nucleic acid amplification tests (NAATs). We calculated the proportion of resistant infections and cases averted after 5 years, and compared how fast resistant infections spread in the populations. RESULTS: The proportion of resistant infections after 30 years is lowest for POC+R (median MSM: 0.18%, HMW: 0.12%), and increases for culture (MSM: 1.19%, HMW: 0.13%), NAAT (MSM: 100%, HMW: 99.27%), and POC−R (MSM: 100%, HMW: 99.73%). Per 100 000 persons, NAAT leads to 36 366 (median MSM) and 1228 (median HMW) observed cases after 5 years. Compared with NAAT, POC+R averts more cases after 5 years (median MSM: 3353, HMW: 118). POC tests that detect resistance with intermediate sensitivity slow down resistance spread more than NAAT. POC tests with very high sensitivity for the detection of resistance are needed to slow down resistance spread more than by using culture. CONCLUSIONS: POC with high sensitivity to detect antibiotic resistance can keep gonorrhoea treatable longer than culture or NAAT. POC tests without reliable resistance detection should not be introduced because they can accelerate the spread of antibiotic-resistant gonorrhoea. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0881-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-26 /pmc/articles/PMC5530576/ /pubmed/28747205 http://dx.doi.org/10.1186/s12916-017-0881-x Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Fingerhuth, Stephanie M.
Low, Nicola
Bonhoeffer, Sebastian
Althaus, Christian L.
Detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study
title Detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study
title_full Detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study
title_fullStr Detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study
title_full_unstemmed Detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study
title_short Detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study
title_sort detection of antibiotic resistance is essential for gonorrhoea point-of-care testing: a mathematical modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530576/
https://www.ncbi.nlm.nih.gov/pubmed/28747205
http://dx.doi.org/10.1186/s12916-017-0881-x
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