HIV-1 resistance testing influences treatment decision-making

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 virologic...

Full description

Bibliographic Details
Main Authors: Ricardo Sobhie Diaz, Maria Cecilia A. Sucupira, Tania R.C. Vergara, Carlos Brites, Rosana Del Bianco, Francisco Bonasser Filho, Geova Keny B. Colares, Estevão Portela, Lia Adler Cherman, Nemora Tregnago Barcelos, Unai Tupinambas, Gilberto Turcato, Jr., Lisa Allamasey, Lee Bacheler, Martin Tuohy
Format: Article
Language:English
Published: Elsevier 2010-09-01
Series:Brazilian Journal of Infectious Diseases
Online Access:http://www.sciencedirect.com/science/article/pii/S1413867010700982
_version_ 1818341991810859008
author Ricardo Sobhie Diaz
Maria Cecilia A. Sucupira
Tania R.C. Vergara
Carlos Brites
Rosana Del Bianco
Francisco Bonasser Filho
Geova Keny B. Colares
Estevão Portela
Lia Adler Cherman
Nemora Tregnago Barcelos
Unai Tupinambas
Gilberto Turcato, Jr.
Lisa Allamasey
Lee Bacheler
Martin Tuohy
author_facet Ricardo Sobhie Diaz
Maria Cecilia A. Sucupira
Tania R.C. Vergara
Carlos Brites
Rosana Del Bianco
Francisco Bonasser Filho
Geova Keny B. Colares
Estevão Portela
Lia Adler Cherman
Nemora Tregnago Barcelos
Unai Tupinambas
Gilberto Turcato, Jr.
Lisa Allamasey
Lee Bacheler
Martin Tuohy
author_sort Ricardo Sobhie Diaz
collection DOAJ
description 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
first_indexed 2024-12-13T16:07:36Z
format Article
id doaj.art-24063d4a7819499a99aeb87568c94c9e
institution Directory Open Access Journal
issn 1413-8670
language English
last_indexed 2024-12-13T16:07:36Z
publishDate 2010-09-01
publisher Elsevier
record_format Article
series Brazilian Journal of Infectious Diseases
spelling doaj.art-24063d4a7819499a99aeb87568c94c9e2022-12-21T23:39:00ZengElsevierBrazilian Journal of Infectious Diseases1413-86702010-09-01145489494HIV-1 resistance testing influences treatment decision-makingRicardo Sobhie Diaz0Maria Cecilia A. Sucupira1Tania R.C. Vergara2Carlos Brites3Rosana Del Bianco4Francisco Bonasser Filho5Geova Keny B. Colares6Estevão Portela7Lia Adler Cherman8Nemora Tregnago Barcelos9Unai Tupinambas10Gilberto Turcato, Jr.11Lisa Allamasey12Lee Bacheler13Martin Tuohy14Universidade Federal de São Paulo, São Paulo, Brazil; 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.Universidade Federal de São Paulo, São Paulo, BrazilUniversidade Federal de São Paulo, São Paulo, BrazilUniversidade Federal de Bahia, BrazilHospital Emilio Ribas, São Paulo, SP, BrazilHospital Emilio Ribas, São Paulo, SP, BrazilUniversidade de Fortaleza, CE, BrazilFundação Oswaldo Cruz, RJ, BrazilNetwork Reference Physicians Working GroupSecretaria Estadual de Saúde do Rio Grande do Sul, RS, BrazilUniversidade Federal de Minas Gerais, MG, BrasilUniversidade Federal de São Paulo, São Paulo, BrazilVirco BVBA, Mechelen, BelgiumVircoLab Inc, Durham, NC, USAVirco BVBA, Mechelen, BelgiumObjective: 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, Brazilhttp://www.sciencedirect.com/science/article/pii/S1413867010700982
spellingShingle Ricardo Sobhie Diaz
Maria Cecilia A. Sucupira
Tania R.C. Vergara
Carlos Brites
Rosana Del Bianco
Francisco Bonasser Filho
Geova Keny B. Colares
Estevão Portela
Lia Adler Cherman
Nemora Tregnago Barcelos
Unai Tupinambas
Gilberto Turcato, Jr.
Lisa Allamasey
Lee Bacheler
Martin Tuohy
HIV-1 resistance testing influences treatment decision-making
Brazilian Journal of Infectious Diseases
title HIV-1 resistance testing influences treatment decision-making
title_full HIV-1 resistance testing influences treatment decision-making
title_fullStr HIV-1 resistance testing influences treatment decision-making
title_full_unstemmed HIV-1 resistance testing influences treatment decision-making
title_short HIV-1 resistance testing influences treatment decision-making
title_sort hiv 1 resistance testing influences treatment decision making
url http://www.sciencedirect.com/science/article/pii/S1413867010700982
work_keys_str_mv AT ricardosobhiediaz hiv1resistancetestinginfluencestreatmentdecisionmaking
AT mariaceciliaasucupira hiv1resistancetestinginfluencestreatmentdecisionmaking
AT taniarcvergara hiv1resistancetestinginfluencestreatmentdecisionmaking
AT carlosbrites hiv1resistancetestinginfluencestreatmentdecisionmaking
AT rosanadelbianco hiv1resistancetestinginfluencestreatmentdecisionmaking
AT franciscobonasserfilho hiv1resistancetestinginfluencestreatmentdecisionmaking
AT geovakenybcolares hiv1resistancetestinginfluencestreatmentdecisionmaking
AT estevaoportela hiv1resistancetestinginfluencestreatmentdecisionmaking
AT liaadlercherman hiv1resistancetestinginfluencestreatmentdecisionmaking
AT nemoratregnagobarcelos hiv1resistancetestinginfluencestreatmentdecisionmaking
AT unaitupinambas hiv1resistancetestinginfluencestreatmentdecisionmaking
AT gilbertoturcatojr hiv1resistancetestinginfluencestreatmentdecisionmaking
AT lisaallamasey hiv1resistancetestinginfluencestreatmentdecisionmaking
AT leebacheler hiv1resistancetestinginfluencestreatmentdecisionmaking
AT martintuohy hiv1resistancetestinginfluencestreatmentdecisionmaking