Variable prediction of antiretroviral treatment outcome by different systems for interpreting genotypic human immunodeficiency vires type 1 drug resistance

Andrea De Luca, Antonella Cingolani, Simona Di Giambenedetto, Maria Paola Trotta, Francesco Baldini, Maria Gabriella Rizzo, Ada Bertoli, Giuseppina Liuzzi, Pasquale Narciso, Rita Murri, Adriana Ammassari, Carlo Federico Perno, Andrea Antinori

Research output: Contribution to journalArticle

93 Citations (Scopus)

Abstract

To determine the variability of genotypic human immunodeficiency virus (HIV) type 1 drug-resistance interpretation by available expert systems and its clinical implications, 261 subjects for whom a potent antiretroviral regimen was failing who were starting salvage therapy were evaluated. The association of the genotypic susceptibility score (GSS) of the salvage regimen, according to 11 interpretation systems, with HIV RNA outcomes for 6 months was examined. GSS was highly variable, as determined by the different interpretation systems, and showed independent correlation with changes from baseline HIV RNA levels at 6 months with 5 systems - Stanford hivdb, GuideLines 3.0, Retrogram 1.4, HIVresistanceWeb, and São Paulo University. Most GSSs predicted virologic response in regimens containing stavudine, lamivudine, efavirenz, or indinavir. Selected systems predicted response in regimens containing didanosine, abacavir, or nelfinavir, and no system predicted outcome of boosted protease inhibitors. GSSs predicted changes in HIV RNA levels better in adherent patients than in nonadherent individuals. Interpretation may be improved, and knowledge should be used uniformly throughout different expert systems.

Original languageEnglish
Pages (from-to)1934-1943
Number of pages10
JournalJournal of Infectious Diseases
Volume187
Issue number12
DOIs
Publication statusPublished - Jun 15 2003

Fingerprint

Drug Resistance
Expert Systems
efavirenz
HIV
RNA
Nelfinavir
Indinavir
Stavudine
Didanosine
Salvage Therapy
Lamivudine
Protease Inhibitors
HIV-1
Guidelines
Bruton type agammaglobulinemia

ASJC Scopus subject areas

  • Immunology
  • Public Health, Environmental and Occupational Health

Cite this

Variable prediction of antiretroviral treatment outcome by different systems for interpreting genotypic human immunodeficiency vires type 1 drug resistance. / De Luca, Andrea; Cingolani, Antonella; Di Giambenedetto, Simona; Trotta, Maria Paola; Baldini, Francesco; Rizzo, Maria Gabriella; Bertoli, Ada; Liuzzi, Giuseppina; Narciso, Pasquale; Murri, Rita; Ammassari, Adriana; Perno, Carlo Federico; Antinori, Andrea.

In: Journal of Infectious Diseases, Vol. 187, No. 12, 15.06.2003, p. 1934-1943.

Research output: Contribution to journalArticle

De Luca, Andrea ; Cingolani, Antonella ; Di Giambenedetto, Simona ; Trotta, Maria Paola ; Baldini, Francesco ; Rizzo, Maria Gabriella ; Bertoli, Ada ; Liuzzi, Giuseppina ; Narciso, Pasquale ; Murri, Rita ; Ammassari, Adriana ; Perno, Carlo Federico ; Antinori, Andrea. / Variable prediction of antiretroviral treatment outcome by different systems for interpreting genotypic human immunodeficiency vires type 1 drug resistance. In: Journal of Infectious Diseases. 2003 ; Vol. 187, No. 12. pp. 1934-1943.
@article{49ad89d2f8094e37851b02af926b0802,
title = "Variable prediction of antiretroviral treatment outcome by different systems for interpreting genotypic human immunodeficiency vires type 1 drug resistance",
abstract = "To determine the variability of genotypic human immunodeficiency virus (HIV) type 1 drug-resistance interpretation by available expert systems and its clinical implications, 261 subjects for whom a potent antiretroviral regimen was failing who were starting salvage therapy were evaluated. The association of the genotypic susceptibility score (GSS) of the salvage regimen, according to 11 interpretation systems, with HIV RNA outcomes for 6 months was examined. GSS was highly variable, as determined by the different interpretation systems, and showed independent correlation with changes from baseline HIV RNA levels at 6 months with 5 systems - Stanford hivdb, GuideLines 3.0, Retrogram 1.4, HIVresistanceWeb, and S{\~a}o Paulo University. Most GSSs predicted virologic response in regimens containing stavudine, lamivudine, efavirenz, or indinavir. Selected systems predicted response in regimens containing didanosine, abacavir, or nelfinavir, and no system predicted outcome of boosted protease inhibitors. GSSs predicted changes in HIV RNA levels better in adherent patients than in nonadherent individuals. Interpretation may be improved, and knowledge should be used uniformly throughout different expert systems.",
author = "{De Luca}, Andrea and Antonella Cingolani and {Di Giambenedetto}, Simona and Trotta, {Maria Paola} and Francesco Baldini and Rizzo, {Maria Gabriella} and Ada Bertoli and Giuseppina Liuzzi and Pasquale Narciso and Rita Murri and Adriana Ammassari and Perno, {Carlo Federico} and Andrea Antinori",
year = "2003",
month = "6",
day = "15",
doi = "10.1086/375355",
language = "English",
volume = "187",
pages = "1934--1943",
journal = "Journal of Infectious Diseases",
issn = "0022-1899",
publisher = "Oxford University Press",
number = "12",

}

TY - JOUR

T1 - Variable prediction of antiretroviral treatment outcome by different systems for interpreting genotypic human immunodeficiency vires type 1 drug resistance

AU - De Luca, Andrea

AU - Cingolani, Antonella

AU - Di Giambenedetto, Simona

AU - Trotta, Maria Paola

AU - Baldini, Francesco

AU - Rizzo, Maria Gabriella

AU - Bertoli, Ada

AU - Liuzzi, Giuseppina

AU - Narciso, Pasquale

AU - Murri, Rita

AU - Ammassari, Adriana

AU - Perno, Carlo Federico

AU - Antinori, Andrea

PY - 2003/6/15

Y1 - 2003/6/15

N2 - To determine the variability of genotypic human immunodeficiency virus (HIV) type 1 drug-resistance interpretation by available expert systems and its clinical implications, 261 subjects for whom a potent antiretroviral regimen was failing who were starting salvage therapy were evaluated. The association of the genotypic susceptibility score (GSS) of the salvage regimen, according to 11 interpretation systems, with HIV RNA outcomes for 6 months was examined. GSS was highly variable, as determined by the different interpretation systems, and showed independent correlation with changes from baseline HIV RNA levels at 6 months with 5 systems - Stanford hivdb, GuideLines 3.0, Retrogram 1.4, HIVresistanceWeb, and São Paulo University. Most GSSs predicted virologic response in regimens containing stavudine, lamivudine, efavirenz, or indinavir. Selected systems predicted response in regimens containing didanosine, abacavir, or nelfinavir, and no system predicted outcome of boosted protease inhibitors. GSSs predicted changes in HIV RNA levels better in adherent patients than in nonadherent individuals. Interpretation may be improved, and knowledge should be used uniformly throughout different expert systems.

AB - To determine the variability of genotypic human immunodeficiency virus (HIV) type 1 drug-resistance interpretation by available expert systems and its clinical implications, 261 subjects for whom a potent antiretroviral regimen was failing who were starting salvage therapy were evaluated. The association of the genotypic susceptibility score (GSS) of the salvage regimen, according to 11 interpretation systems, with HIV RNA outcomes for 6 months was examined. GSS was highly variable, as determined by the different interpretation systems, and showed independent correlation with changes from baseline HIV RNA levels at 6 months with 5 systems - Stanford hivdb, GuideLines 3.0, Retrogram 1.4, HIVresistanceWeb, and São Paulo University. Most GSSs predicted virologic response in regimens containing stavudine, lamivudine, efavirenz, or indinavir. Selected systems predicted response in regimens containing didanosine, abacavir, or nelfinavir, and no system predicted outcome of boosted protease inhibitors. GSSs predicted changes in HIV RNA levels better in adherent patients than in nonadherent individuals. Interpretation may be improved, and knowledge should be used uniformly throughout different expert systems.

UR - http://www.scopus.com/inward/record.url?scp=0038238324&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0038238324&partnerID=8YFLogxK

U2 - 10.1086/375355

DO - 10.1086/375355

M3 - Article

VL - 187

SP - 1934

EP - 1943

JO - Journal of Infectious Diseases

JF - Journal of Infectious Diseases

SN - 0022-1899

IS - 12

ER -