Prevalence of HIV-1 Drug Resistance in Treated Patients
Authors:
- Diane DescampsDDDiane Descamps
- Lambert AssoumouLALambert Assoumou
- Laurence Morand-JoubertLMLaurence Morand-Joubert
- Anne-Geneviève MarcelinAMAnne-Geneviève Marcelin
- Véronique BrodardVBVéronique Brodard
- Constance DelaugerreCDConstance Delaugerre
- Vincent MackiewiczVMVincent Mackiewicz
- Annick RuffaultARAnnick Ruffault
- Jacques IzopetJIJacques Izopet
- Jean-Christophe PlantierJPJean-Christophe Plantier
- Catherine TamaletCTCatherine Tamalet
- 1 September 2007
- journal article
- basic science
- Published by Wolters Kluwer Health in JAIDS Journal of Acquired Immune Deficiency Syndromes
- Vol. 46 (1) , 12-18
Abstract
Background: Surveillance of HIV-1 drug resistance in antiretroviral-treated patients is important from the public health perspective of the spread of resistance and to evaluate the proportion of patients for whom new drugs are needed. Methods: Patients were consecutively included in 28 centers in France and 1 center in Switzerland if they had a viral load measurement performed in June 2004, with a result ≥1000 copies/mL. Reverse transcriptase, protease, and gp41 genes were sequenced, and resistance mutations were reported as listed on the Web site ( www.iasusa.org ). The genotypic resistance results were interpreted by the Agence Nationale de Recherches sur le SIDA et les Hépatites Virales (ANRS) and Stanford algorithms. Results: The 498 patients included had been exposed to 9 (interquartile ratio [IQR]: 6 to 12) antiretroviral drugs. Patients' viruses harbored 4 nucleoside reverse transcriptase inhibitor (IQR: 1 to 6) and 4 protease inhibitor (PI; IQR: 2 to 8) resistance mutations, whereas 44% had at least 1 nonnucleoside reverse transcriptase inhibitor resistance mutation. The frequency of resistance to at least 1 drug was 88% with the ANRS algorithm and 83% with the Stanford algorithm. The frequencies of complete resistance to 1, 2, and 3 classes of drugs were 37%, 15%, and 4%, respectively, with the ANRS algorithm and 27%, 23%, and 24%, respectively, with the Stanford algorithm. The most important differences between algorithms were for PIs. Using the ANRS algorithm and extrapolation on the whole French database, 19% of all treated patients could contribute to the spread of resistance and 4% had complete resistance to 2 classes of antiretroviral drugs. Conclusions: The observed patterns of resistance are linked to a long-lasting history of antiretroviral therapy. The frequency of multiresistance can vary according to the interpretation systems.Keywords
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