HIV-1 drug resistance: degree of underestimation by a cross-sectional versus a longitudinal testing approach.
Genotyping of human immunodeficiency virus type 1 (HIV-1) for antiretroviral drug resistance is routinely used both in clinical practice, to guide the selection of options for an individual's antiretroviral therapy, and in epidemiological studies, to estimate levels of antiretroviral drug resistance in a patient population. However, reliance on results of a single test can result in an underestimation of antiretroviral drug resistance. In the present study, we quantified the prevalence of resistance-associated mutations found in recent genotypic tests of 1734 HIV-1-infected, treatment-experienced subjects who had at least 3 genotypic tests (n = 11,404 genotypic tests total; median, 5 tests/subject) and compared it with that of resistance-associated mutations ever detected in these subjects between 1996 and 2004. Single-point analyses underestimated antiretroviral drug resistance, particularly for nucleoside analogues, in both individuals and patient populations. For example, the prevalence of resistance-associated mutation M184V/I was 25.5% in the most recent genotypes and 58.8% in available historical genotypes. Our results suggest that analysis of a combined historical genotype rather than of a cross-sectional genotype may lead to more accurate estimates of antiretroviral drug resistance in individual patients and in patient populations.
Harrigan
P Richard
PR
British Columbia Centre for Excellence in HIV/AIDS, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada. lab@hivnet.ubc.ca
Wynhoven
Brian
B
Brumme
Zabrina L
ZL
Brumme
Chanson J
CJ
Sattha
Beheroze
B
Major
Jennifer C
JC
de la Rosa
Rafael
R
Montaner
Julio S G
JS
D015982:Bias; D001955:British Columbia; D003430:Cross-Sectional Studies; D024882:Drug Resistance, Viral / Q000235:genetics*; D005838:Genotype; D015658:HIV Infections / Q000821:virology*; D015497:HIV-1 / Q000235:genetics* / Q000302:isolation & purification; D006801:Humans; D008137:Longitudinal Studies; D013997:Time Factors