Incidence of Transmitted Antiretroviral Drug Resistance in Treatment-Naive HIV-1-Infected Persons in a Large South Central United States Clinic

Abstract

Transmitted drug resistance (TDR) can limit effective treatment options to antiretroviral-naive HIV-infected persons and increase the risk of treatment failure. Limited estimates of TDR have been reported from the South Central United States. To describe the incidence of TDR in Oklahoma and to examine whether TDR rates have increased with time. This was a retrospective observational study of antiretroviral-naive patients at the Infectious Diseases Institute, a large infectious diseases clinic in Oklahoma City, Oklahoma, who had received baseline antiretroviral resistance testing. Mutations were screened using the 2011 International Antiviral Society-USA Drug Resistance Mutation (DRM) update, and categorized using the 2009 World Health Organization (WHO) Surveillance Drug Resistance Mutation (SDRM) list. Genotypic sequences from 428 patients revealed a 6.0% to 13.6% incidence of SDRMs between 2007 and 2011, though no progression in the frequency was apparent during the study period. Primary DRMs were detected in 12.6% of the sampled patients, most commonly involving nonnucleoside reverse transcriptase inhibitors (NNRTIs; 8.2%), followed by protease inhibitors (PIs; 3.5%) and nucleoside reverse transcriptase inhibitors (NRTIs; 3.3%). The K103N/S and E138A reverse transcriptase mutations were the most common DRMs identified, both present in 3.5% of patients. The L90M mutation was the most frequently observed PI SDRM (1.6%), while the T215C/D/I mutation was the most common NRTI SDRM identified (1.9%). This study was limited by the fact that the WHO SDRM list was last updated in 2009. The frequency of DRMs in central and western Oklahoma is similar to recently reported rates in the United States which lack data from this region. However, the frequency of second-generation NNRTI DRMs (4.4%) suggests the need to closely monitor epidemiologic trends for increasing resistance rates to individual classes of ARVs in order to predict the impact of TDR on therapeutic options.