OBJECTIVE: The overall prevalence of the K65R mutation in HIV-1 reverse transcriptase has increased in treatment-experienced patients, mostly attributed to the increasing use of tenofovir (TDF). A number of TDF-based regimens are associated with high rate of early virological failure. In this study, we evaluated the impact of these combinations on K65R selection over time. METHODS: Treatment-experienced patients who had a genotypic resistance test at time of failure in the period 2002-2005 in a hospital in Lisbon were included. Incidence of K65R was calculated and compared with proportions of failing therapies in the respective year of sampling including TDF or didanosine plus stavudine and their respective frequency of K65R selection were analyzed using classical statistics and Bayesian Network Learning. RESULTS: The overall rate of K65R in the database was consistent with earlier reports. The incidence of K65R increased in the period 2002-2004 but showed a sharp, significant decrease in 2005, despite a continuous increase of patients failing TDF-based regimens. The proportion of patients failing certain not-recommended regimens decreased sharply in 2005 and therefore correlated well with K65R incidence trend. CONCLUSIONS: This study suggests that the use of certain TDF-based regimens caused the increase in K65R incidence over the last years.
OBJECTIVE: The overall prevalence of the K65R mutation in HIV-1 reverse transcriptase has increased in treatment-experienced patients, mostly attributed to the increasing use of tenofovir (TDF). A number of TDF-based regimens are associated with high rate of early virological failure. In this study, we evaluated the impact of these combinations on K65R selection over time. METHODS: Treatment-experienced patients who had a genotypic resistance test at time of failure in the period 2002-2005 in a hospital in Lisbon were included. Incidence of K65R was calculated and compared with proportions of failing therapies in the respective year of sampling including TDF or didanosine plus stavudine and their respective frequency of K65R selection were analyzed using classical statistics and Bayesian Network Learning. RESULTS: The overall rate of K65R in the database was consistent with earlier reports. The incidence of K65R increased in the period 2002-2004 but showed a sharp, significant decrease in 2005, despite a continuous increase of patients failing TDF-based regimens. The proportion of patients failing certain not-recommended regimens decreased sharply in 2005 and therefore correlated well with K65R incidence trend. CONCLUSIONS: This study suggests that the use of certain TDF-based regimens caused the increase in K65R incidence over the last years.
Authors: K Theys; J Vercauteren; J Snoeck; M Zazzi; R J Camacho; C Torti; E Schülter; B Clotet; A Sönnerborg; A De Luca; Z Grossman; D Struck; A-M Vandamme; A B Abecasis Journal: Antimicrob Agents Chemother Date: 2012-11-26 Impact factor: 5.191
Authors: Susan M Schader; Maureen Oliveira; Ruxandra-Ilinca Ibanescu; Daniela Moisi; Susan P Colby-Germinario; Mark A Wainberg Journal: Antimicrob Agents Chemother Date: 2011-11-28 Impact factor: 5.191
Authors: Kristof Theys; Kristel Van Laethem; Perpetua Gomes; Guy Baele; Andrea-Clemencia Pineda-Peña; Anne-Mieke Vandamme; Ricardo J Camacho; Ana B Abecasis Journal: AIDS Res Hum Retroviruses Date: 2016-01-29 Impact factor: 2.205