Trends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic.

We aimed to study epidemic trends and predictors for transmitted drug resistance (TDR) in our region, its clinical impact and its association with transmission clusters. We included 778 patients from the AIDS Reference Center in Leuven (Belgium) diagnosed from 1998 to 2012. Resistance testing was pe...

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Autores principales: Andrea-Clemencia Pineda-Peña, Yoeri Schrooten, Lore Vinken, Fossie Ferreira, Guangdi Li, Nídia Sequeira Trovão, Ricardo Khouri, Inge Derdelinckx, Paul De Munter, Claudia Kücherer, Leondios G Kostrikis, Claus Nielsen, Kirsi Littsola, Annemarie Wensing, Maja Stanojevic, Roger Paredes, Claudia Balotta, Jan Albert, Charles Boucher, Arley Gomez-Lopez, Eric Van Wijngaerden, Marc Van Ranst, Jurgen Vercauteren, Anne-Mieke Vandamme, Kristel Van Laethem
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Publicado: Public Library of Science (PLoS) 2014
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spelling oai:doaj.org-article:dc28b10c5ae0480b941c088bbc17cea42021-11-25T06:09:23ZTrends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic.1932-620310.1371/journal.pone.0101738https://doaj.org/article/dc28b10c5ae0480b941c088bbc17cea42014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25003369/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203We aimed to study epidemic trends and predictors for transmitted drug resistance (TDR) in our region, its clinical impact and its association with transmission clusters. We included 778 patients from the AIDS Reference Center in Leuven (Belgium) diagnosed from 1998 to 2012. Resistance testing was performed using population-based sequencing and TDR was estimated using the WHO-2009 surveillance list. Phylogenetic analysis was performed using maximum likelihood and Bayesian techniques. The cohort was predominantly Belgian (58.4%), men who have sex with men (MSM) (42.8%), and chronically infected (86.5%). The overall TDR prevalence was 9.6% (95% confidence interval (CI): 7.7-11.9), 6.5% (CI: 5.0-8.5) for nucleoside reverse transcriptase inhibitors (NRTI), 2.2% (CI: 1.4-3.5) for non-NRTI (NNRTI), and 2.2% (CI: 1.4-3.5) for protease inhibitors. A significant parabolic trend of NNRTI-TDR was found (p = 0.019). Factors significantly associated with TDR in univariate analysis were male gender, Belgian origin, MSM, recent infection, transmission clusters and subtype B, while multivariate and Bayesian network analysis singled out subtype B as the most predictive factor of TDR. Subtype B was related with transmission clusters with TDR that included 42.6% of the TDR patients. Thanks to resistance testing, 83% of the patients with TDR who started therapy had undetectable viral load whereas half of the patients would likely have received a suboptimal therapy without this test. In conclusion, TDR remained stable and a NNRTI up-and-down trend was observed. While the presence of clusters with TDR is worrying, we could not identify an independent, non-sequence based predictor for TDR or transmission clusters with TDR that could help with guidelines or public health measures.Andrea-Clemencia Pineda-PeñaYoeri SchrootenLore VinkenFossie FerreiraGuangdi LiNídia Sequeira TrovãoRicardo KhouriInge DerdelinckxPaul De MunterClaudia KüchererLeondios G KostrikisClaus NielsenKirsi LittsolaAnnemarie WensingMaja StanojevicRoger ParedesClaudia BalottaJan AlbertCharles BoucherArley Gomez-LopezEric Van WijngaerdenMarc Van RanstJurgen VercauterenAnne-Mieke VandammeKristel Van LaethemPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 7, p e101738 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Andrea-Clemencia Pineda-Peña
Yoeri Schrooten
Lore Vinken
Fossie Ferreira
Guangdi Li
Nídia Sequeira Trovão
Ricardo Khouri
Inge Derdelinckx
Paul De Munter
Claudia Kücherer
Leondios G Kostrikis
Claus Nielsen
Kirsi Littsola
Annemarie Wensing
Maja Stanojevic
Roger Paredes
Claudia Balotta
Jan Albert
Charles Boucher
Arley Gomez-Lopez
Eric Van Wijngaerden
Marc Van Ranst
Jurgen Vercauteren
Anne-Mieke Vandamme
Kristel Van Laethem
Trends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic.
description We aimed to study epidemic trends and predictors for transmitted drug resistance (TDR) in our region, its clinical impact and its association with transmission clusters. We included 778 patients from the AIDS Reference Center in Leuven (Belgium) diagnosed from 1998 to 2012. Resistance testing was performed using population-based sequencing and TDR was estimated using the WHO-2009 surveillance list. Phylogenetic analysis was performed using maximum likelihood and Bayesian techniques. The cohort was predominantly Belgian (58.4%), men who have sex with men (MSM) (42.8%), and chronically infected (86.5%). The overall TDR prevalence was 9.6% (95% confidence interval (CI): 7.7-11.9), 6.5% (CI: 5.0-8.5) for nucleoside reverse transcriptase inhibitors (NRTI), 2.2% (CI: 1.4-3.5) for non-NRTI (NNRTI), and 2.2% (CI: 1.4-3.5) for protease inhibitors. A significant parabolic trend of NNRTI-TDR was found (p = 0.019). Factors significantly associated with TDR in univariate analysis were male gender, Belgian origin, MSM, recent infection, transmission clusters and subtype B, while multivariate and Bayesian network analysis singled out subtype B as the most predictive factor of TDR. Subtype B was related with transmission clusters with TDR that included 42.6% of the TDR patients. Thanks to resistance testing, 83% of the patients with TDR who started therapy had undetectable viral load whereas half of the patients would likely have received a suboptimal therapy without this test. In conclusion, TDR remained stable and a NNRTI up-and-down trend was observed. While the presence of clusters with TDR is worrying, we could not identify an independent, non-sequence based predictor for TDR or transmission clusters with TDR that could help with guidelines or public health measures.
format article
author Andrea-Clemencia Pineda-Peña
Yoeri Schrooten
Lore Vinken
Fossie Ferreira
Guangdi Li
Nídia Sequeira Trovão
Ricardo Khouri
Inge Derdelinckx
Paul De Munter
Claudia Kücherer
Leondios G Kostrikis
Claus Nielsen
Kirsi Littsola
Annemarie Wensing
Maja Stanojevic
Roger Paredes
Claudia Balotta
Jan Albert
Charles Boucher
Arley Gomez-Lopez
Eric Van Wijngaerden
Marc Van Ranst
Jurgen Vercauteren
Anne-Mieke Vandamme
Kristel Van Laethem
author_facet Andrea-Clemencia Pineda-Peña
Yoeri Schrooten
Lore Vinken
Fossie Ferreira
Guangdi Li
Nídia Sequeira Trovão
Ricardo Khouri
Inge Derdelinckx
Paul De Munter
Claudia Kücherer
Leondios G Kostrikis
Claus Nielsen
Kirsi Littsola
Annemarie Wensing
Maja Stanojevic
Roger Paredes
Claudia Balotta
Jan Albert
Charles Boucher
Arley Gomez-Lopez
Eric Van Wijngaerden
Marc Van Ranst
Jurgen Vercauteren
Anne-Mieke Vandamme
Kristel Van Laethem
author_sort Andrea-Clemencia Pineda-Peña
title Trends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic.
title_short Trends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic.
title_full Trends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic.
title_fullStr Trends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic.
title_full_unstemmed Trends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic.
title_sort trends and predictors of transmitted drug resistance (tdr) and clusters with tdr in a local belgian hiv-1 epidemic.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/dc28b10c5ae0480b941c088bbc17cea4
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