Advanced search
1 file | 429.04 KB Add to list

Transmission of HIV drug resistance and the predicted effect on current first-line regimens in Europe

(2016) CLINICAL INFECTIOUS DISEASES. 62(5). p.655-663
Author
Organization
Abstract
Background: Numerous studies have shown that baseline drug resistance patterns may influence the outcome of antiretroviral therapy. Therefore, guidelines recommend drug resistance testing to guide the choice of initial regimen. In addition to optimizing individual patient management, these baseline resistance data enable transmitted drug resistance (TDR) to be surveyed for public health purposes. The SPREAD program systematically collects data to gain insight into TDR occurring in Europe since 2001. Methods: Demographic, clinical, and virological data from 4140 antiretroviral-naive human immunodeficiency virus (HIV)-infected individuals from 26 countries who were newly diagnosed between 2008 and 2010 were analyzed. Evidence of TDR was defined using the WHO list for surveillance of drug resistance mutations. Prevalence of TDR was assessed over time by comparing the results to SPREAD data from 2002 to 2007. Baseline susceptibility to antiretroviral drugs was predicted using the Stanford HIVdb program version 7.0. Results: The overall prevalence of TDR did not change significantly over time and was 8.3% (95% confidence interval, 7.2%-9.5%) in 2008-2010. The most frequent indicators of TDR were nucleoside reverse transcriptase inhibitor (NRTI) mutations (4.5%), followed by nonnucleoside reverse transcriptase inhibitor (NNRTI) mutations (2.9%) and protease inhibitor mutations (2.0%). Baseline mutations were most predictive of reduced susceptibility to initial NNRTI-based regimens: 4.5% and 6.5% of patient isolates were predicted to have resistance to regimens containing efavirenz or rilpivirine, respectively, independent of current NRTI backbones. Conclusions: Although TDR was highest for NRTIs, the impact of baseline drug resistance patterns on susceptibility was largest for NNRTIs. The prevalence of TDR assessed by epidemiological surveys does not clearly indicate to what degree susceptibility to different drug classes is affected.
Keywords
HIV-1, drug resistance, transmission, antiretroviral therapy, Europe, REVERSE-TRANSCRIPTASE INHIBITORS, ANTIRETROVIRAL TREATMENT, INFECTION, INDIVIDUALS, RILPIVIRINE, MUTATIONS, PREVALENCE, ETRAVIRINE, INTEGRASE, EFAVIRENZ

Downloads

  • Transmission of HIV Drug Resistance and the Predicted Effect on Current First-line Regimens in Europe.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 429.04 KB

Citation

Please use this url to cite or link to this publication:

MLA
Hofstra, L. Marije, et al. “Transmission of HIV Drug Resistance and the Predicted Effect on Current First-Line Regimens in Europe.” CLINICAL INFECTIOUS DISEASES, vol. 62, no. 5, 2016, pp. 655–63.
APA
Hofstra, L. M., Sauvageot, N., Albert, J., Alexiev, I., Garcia, F., Struck, D., … Vandekerckhove, L. (2016). Transmission of HIV drug resistance and the predicted effect on current first-line regimens in Europe. CLINICAL INFECTIOUS DISEASES, 62(5), 655–663.
Chicago author-date
Hofstra, L Marije, Nicolas Sauvageot, Jan Albert, Ivailo Alexiev, Federico Garcia, Daniel Struck, David AMC Van de Vijver, et al. 2016. “Transmission of HIV Drug Resistance and the Predicted Effect on Current First-Line Regimens in Europe.” CLINICAL INFECTIOUS DISEASES 62 (5): 655–63.
Chicago author-date (all authors)
Hofstra, L Marije, Nicolas Sauvageot, Jan Albert, Ivailo Alexiev, Federico Garcia, Daniel Struck, David AMC Van de Vijver, Birgitta Åsjö, Danail Beshkov, Suzie Coughlan, Diane Descamps, Algirdas Griskevicius, Osamah Hamouda, Andrzej Horban, Marjo Van Kasteren, Tatjana Kolupajeva, Leondios G Kostrikis, Kirsi Liitsola, Marek Linka, Orna Mor, Claus Nielsen, Dan Otelea, Dimitrios Paraskevis, Roger Paredes, Mario Poljak, Elisabeth Puchhammer-Stöckl, Anders Sönnerborg, Danica Staneková, Maja Stanojevic, Kristel Van Laethem, Maurizio Zazzi, Snjezana Zidovec Lepej, Charles AB Boucher, Jean-Claude Schmit, Annemarie MJ Wensing, for the SPREAD Program, and Linos Vandekerckhove. 2016. “Transmission of HIV Drug Resistance and the Predicted Effect on Current First-Line Regimens in Europe.” CLINICAL INFECTIOUS DISEASES 62 (5): 655–663.
Vancouver
1.
Hofstra LM, Sauvageot N, Albert J, Alexiev I, Garcia F, Struck D, et al. Transmission of HIV drug resistance and the predicted effect on current first-line regimens in Europe. CLINICAL INFECTIOUS DISEASES. 2016;62(5):655–63.
IEEE
[1]
L. M. Hofstra et al., “Transmission of HIV drug resistance and the predicted effect on current first-line regimens in Europe,” CLINICAL INFECTIOUS DISEASES, vol. 62, no. 5, pp. 655–663, 2016.
@article{8632388,
  abstract     = {Background: Numerous studies have shown that baseline drug resistance patterns may influence the outcome of antiretroviral therapy. Therefore, guidelines recommend drug resistance testing to guide the choice of initial regimen. In addition to optimizing individual patient management, these baseline resistance data enable transmitted drug resistance (TDR) to be surveyed for public health purposes. The SPREAD program systematically collects data to gain insight into TDR occurring in Europe since 2001. 
Methods: Demographic, clinical, and virological data from 4140 antiretroviral-naive human immunodeficiency virus (HIV)-infected individuals from 26 countries who were newly diagnosed between 2008 and 2010 were analyzed. Evidence of TDR was defined using the WHO list for surveillance of drug resistance mutations. Prevalence of TDR was assessed over time by comparing the results to SPREAD data from 2002 to 2007. Baseline susceptibility to antiretroviral drugs was predicted using the Stanford HIVdb program version 7.0. 
Results: The overall prevalence of TDR did not change significantly over time and was 8.3% (95% confidence interval, 7.2%-9.5%) in 2008-2010. The most frequent indicators of TDR were nucleoside reverse transcriptase inhibitor (NRTI) mutations (4.5%), followed by nonnucleoside reverse transcriptase inhibitor (NNRTI) mutations (2.9%) and protease inhibitor mutations (2.0%). Baseline mutations were most predictive of reduced susceptibility to initial NNRTI-based regimens: 4.5% and 6.5% of patient isolates were predicted to have resistance to regimens containing efavirenz or rilpivirine, respectively, independent of current NRTI backbones. 
Conclusions: Although TDR was highest for NRTIs, the impact of baseline drug resistance patterns on susceptibility was largest for NNRTIs. The prevalence of TDR assessed by epidemiological surveys does not clearly indicate to what degree susceptibility to different drug classes is affected.},
  author       = {Hofstra, L Marije and Sauvageot, Nicolas and Albert, Jan and Alexiev, Ivailo and Garcia, Federico and Struck, Daniel and Van de Vijver, David AMC and Åsjö, Birgitta and Beshkov, Danail and Coughlan, Suzie and Descamps, Diane and Griskevicius, Algirdas and Hamouda, Osamah and Horban, Andrzej and Van Kasteren, Marjo and Kolupajeva, Tatjana and Kostrikis, Leondios G and Liitsola, Kirsi and Linka, Marek and Mor, Orna and Nielsen, Claus and Otelea, Dan and Paraskevis, Dimitrios and Paredes, Roger and Poljak, Mario and Puchhammer-Stöckl, Elisabeth and Sönnerborg, Anders and Staneková, Danica and Stanojevic, Maja and Van Laethem, Kristel and Zazzi, Maurizio and Zidovec Lepej, Snjezana and Boucher, Charles AB and Schmit, Jean-Claude and Wensing, Annemarie MJ and SPREAD Program, for the and Vandekerckhove, Linos},
  issn         = {1058-4838},
  journal      = {CLINICAL INFECTIOUS DISEASES},
  keywords     = {HIV-1,drug resistance,transmission,antiretroviral therapy,Europe,REVERSE-TRANSCRIPTASE INHIBITORS,ANTIRETROVIRAL TREATMENT,INFECTION,INDIVIDUALS,RILPIVIRINE,MUTATIONS,PREVALENCE,ETRAVIRINE,INTEGRASE,EFAVIRENZ},
  language     = {eng},
  number       = {5},
  pages        = {655--663},
  title        = {Transmission of HIV drug resistance and the predicted effect on current first-line regimens in Europe},
  url          = {http://dx.doi.org/10.1093/cid/civ963},
  volume       = {62},
  year         = {2016},
}

Altmetric
View in Altmetric
Web of Science
Times cited: