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Vol. 14. Issue 5.
Pages 489-494 (September - October 2010)
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Vol. 14. Issue 5.
Pages 489-494 (September - October 2010)
Original article
Open Access
HIV-1 resistance testing influences treatment decision-making
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2211
Ricardo Sobhie Diaz1,
Corresponding author
rsdiaz@catg.com.br

Correspondence to: Retrovirology Laboratory, Universidade Federal de São Paulo - EPM, R. Pedro de Toledo, 781, Sao Paulo, SP - 04039 - Brazil Phone: +55-110-9109-0445, Phone/fax: +55-11-5579- 8226, +55-11-5571-2130, +55-11-5084-4262.
, Maria Cecilia A. Sucupira1, Tania R.C. Vergara1, Carlos Brites2, Rosana Del Bianco3, Francisco Bonasser Filho3, Geova Keny B. Colares4, Estevão Portela5, Lia Adler Cherman6, Nemora Tregnago Barcelos7, Unai Tupinambas8, Gilberto Turcato Jr.1, Lisa Allamasey9, Lee Bacheler10, Martin Tuohy9, Brazilian Network Reference Physicians Working Group 6
1 Universidade Federal de São Paulo, São Paulo, Brazil
2 Universidade Federal de Bahia, Brazil
3 Hospital Emilio Ribas, São Paulo, SP, Brazil
4 Universidade de Fortaleza, CE, Brazil
5 Fundação Oswaldo Cruz, RJ, Brazil
6 Network Reference Physicians Working Group
7 Secretaria Estadual de Saúde do Rio Grande do Sul, RS, Brazil
8 Universidade Federal de Minas Gerais, MG, Brasil
9 Virco BVBA, Mechelen, Belgium
10 VircoLab Inc, Durham, NC, USA
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Abstract
Objective

To investigates how the use of HIV-1 resistance tests influences physician decision-making.

Methods

Ten experienced reference physicians from the Brazilian Network for Drug Resistance each received ten patients’ case histories. The selected patients had experienced at least two virological failures. First, reference physicians were asked to empirically select a new regimen for each patient. Second, after genotype report (ViroSeq 2.6) was provided, and physicians were again asked to select a new regimen considering this additional information. Finally, they were asked to select a regimen after receiving a virtual phenotype result (vircoTYPE 3.9.00).

Results

In 79% of the cases, physicians changed their empirical choice of regimen after receiving the genotype report, resulting in an increase in the mean number of active drugs from 1.8 to 2.2 (p = 0.0003), while the average number of drugs/regimen remained at 4.0. After receipt of the virtual phenotype report, additional changes were made in 75% of the patient cases, resulting in an increase in the number of active drugs to 2.8 (p < 0.0001), while the average number of drugs/ regimen remained at 4.0. After receipt of the genotype report, 48% of the changes were in NRTIs, 29% were in NNRTIs and 60% were in PIs; after consideration of the virtual phenotype, 61%, 10% and 49% of the changes, respectively, were in these categories of drugs. Fourteen percent of the physicians rated the genotype report as “extremely useful”, whereas 34% rated the subsequent virtual phenotype report as “extremely useful” (p = 0.0003).

Conclusions

Resistance testing has a significant impact on physicians’ choices of antiretroviral salvage therapies, and it promotes the selection of more active drugs.

Keywords:
genotype
virtual phenotype
antiretroviral resistance
Brazil
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The Brazilian Journal of Infectious Diseases
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