Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting

Salvatrice Mancuso, Ilaria Vicenti, Enzo Boeri, Mattia Prosperi, Elisabetta Paolini, Bianca Bruzzone, Annapaola Callegaro, Simona Di Giambenedetto, Angela Gonnelli, Stefano Menzo, Maurizio Zazzi, Andrea Giacometti, Fausto Baldanti, Stefano Rusconi, Franco Maggiolo, Andrea De Luca

Risultato della ricerca: Article

28 Citazioni (Scopus)

Abstract

Objectives: To test retrospectively the ability of four freely available rules-based expert systems to predict short- and medium-term virological outcome following an antiretroviral treatment switch in pre-treated HIV-1 patients. Methods: The HIV-1 genotype interpretation systems (GISs) HIVdb, ANRS, Rega and AntiRetroScan were tested for their accuracy in predicting response to highly active antiretroviral therapy using 8 week (n = 765) and 24 week (n = 634) follow-up standardized treatment change episodes extracted from the Italian Antiretroviral Resistance Cohort Analysis (ARCA) database. A genotypic sensitivity score (GSS) was derived for each genotype-treatment pair for the different GISs and tested as a predictor of virological treatment outcome by univariable and multivariable logistic regression as well as by receiver operating characteristic curve analysis. The two systems implementing drug potency weights (AntiRetroScan and Rega) were evaluated with and without this correction factor. Results: All four GSSs were strong predictors of virological treatment outcome at both 8 and 24 weeks after adjusting for baseline viro-immunological parameters and previous drug exposure (odds ratios ranging from 2.04 to 2.43 per 1 unit GSS increase; P < 0.001 for all the systems). The accuracy of AntiRetroScan and Rega was significantly increased by drug potency weighting with respect to the unweighted versions (P ≤ 0.001). HIVdb and ANRS also increased their performance with the same drug potency weighting adopted by AntiRetroScan and Rega, respectively (P < 0.001 for both analyses). Conclusions: Currently available GISs are valuable tools for assisting antiretroviral treatment choices. Drug potency weighting can increase the accuracy of all systems. © The Author 2009. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved.
Lingua originaleEnglish
pagine (da-a)616-624
Numero di pagine9
RivistaJournal of Antimicrobial Chemotherapy
Volume64
Stato di pubblicazionePublished - 2009

Fingerprint

HIV-1
Genotype
Pharmaceutical Preparations
Expert Systems
Highly Active Antiretroviral Therapy
Therapeutics
ROC Curve
Cohort Studies
Logistic Models
Odds Ratio
Databases
Weights and Measures

All Science Journal Classification (ASJC) codes

  • Pharmacology
  • Microbiology (medical)
  • Pharmacology (medical)
  • Infectious Diseases

Cita questo

Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting. / Mancuso, Salvatrice; Vicenti, Ilaria; Boeri, Enzo; Prosperi, Mattia; Paolini, Elisabetta; Bruzzone, Bianca; Callegaro, Annapaola; Di Giambenedetto, Simona; Gonnelli, Angela; Menzo, Stefano; Zazzi, Maurizio; Giacometti, Andrea; Baldanti, Fausto; Rusconi, Stefano; Maggiolo, Franco; De Luca, Andrea.

In: Journal of Antimicrobial Chemotherapy, Vol. 64, 2009, pag. 616-624.

Risultato della ricerca: Article

Mancuso, S, Vicenti, I, Boeri, E, Prosperi, M, Paolini, E, Bruzzone, B, Callegaro, A, Di Giambenedetto, S, Gonnelli, A, Menzo, S, Zazzi, M, Giacometti, A, Baldanti, F, Rusconi, S, Maggiolo, F & De Luca, A 2009, 'Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting', Journal of Antimicrobial Chemotherapy, vol. 64, pagg. 616-624.
Mancuso, Salvatrice ; Vicenti, Ilaria ; Boeri, Enzo ; Prosperi, Mattia ; Paolini, Elisabetta ; Bruzzone, Bianca ; Callegaro, Annapaola ; Di Giambenedetto, Simona ; Gonnelli, Angela ; Menzo, Stefano ; Zazzi, Maurizio ; Giacometti, Andrea ; Baldanti, Fausto ; Rusconi, Stefano ; Maggiolo, Franco ; De Luca, Andrea. / Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting. In: Journal of Antimicrobial Chemotherapy. 2009 ; Vol. 64. pagg. 616-624.
@article{25f414672b2e43ff8bc032a0cb600762,
title = "Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting",
abstract = "Objectives: To test retrospectively the ability of four freely available rules-based expert systems to predict short- and medium-term virological outcome following an antiretroviral treatment switch in pre-treated HIV-1 patients. Methods: The HIV-1 genotype interpretation systems (GISs) HIVdb, ANRS, Rega and AntiRetroScan were tested for their accuracy in predicting response to highly active antiretroviral therapy using 8 week (n = 765) and 24 week (n = 634) follow-up standardized treatment change episodes extracted from the Italian Antiretroviral Resistance Cohort Analysis (ARCA) database. A genotypic sensitivity score (GSS) was derived for each genotype-treatment pair for the different GISs and tested as a predictor of virological treatment outcome by univariable and multivariable logistic regression as well as by receiver operating characteristic curve analysis. The two systems implementing drug potency weights (AntiRetroScan and Rega) were evaluated with and without this correction factor. Results: All four GSSs were strong predictors of virological treatment outcome at both 8 and 24 weeks after adjusting for baseline viro-immunological parameters and previous drug exposure (odds ratios ranging from 2.04 to 2.43 per 1 unit GSS increase; P < 0.001 for all the systems). The accuracy of AntiRetroScan and Rega was significantly increased by drug potency weighting with respect to the unweighted versions (P ≤ 0.001). HIVdb and ANRS also increased their performance with the same drug potency weighting adopted by AntiRetroScan and Rega, respectively (P < 0.001 for both analyses). Conclusions: Currently available GISs are valuable tools for assisting antiretroviral treatment choices. Drug potency weighting can increase the accuracy of all systems. {\circledC} The Author 2009. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved.",
keywords = "Algorithm; Drug resistance; Genotype; Adult; Animals; Anti-HIV Agents; Female; Genotype; HIV Infections; HIV-1; Humans; Italy; Logistic Models; Male; Microbial Sensitivity Tests; Middle Aged; Prognosis; RNA, Viral; ROC Curve; Retrospective Studies; Treatment Outcome; Pharmacology; Pharmacology (medical); Infectious Diseases",
author = "Salvatrice Mancuso and Ilaria Vicenti and Enzo Boeri and Mattia Prosperi and Elisabetta Paolini and Bianca Bruzzone and Annapaola Callegaro and {Di Giambenedetto}, Simona and Angela Gonnelli and Stefano Menzo and Maurizio Zazzi and Andrea Giacometti and Fausto Baldanti and Stefano Rusconi and Franco Maggiolo and {De Luca}, Andrea",
year = "2009",
language = "English",
volume = "64",
pages = "616--624",
journal = "Journal of Antimicrobial Chemotherapy",
issn = "0305-7453",
publisher = "Oxford University Press",

}

TY - JOUR

T1 - Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting

AU - Mancuso, Salvatrice

AU - Vicenti, Ilaria

AU - Boeri, Enzo

AU - Prosperi, Mattia

AU - Paolini, Elisabetta

AU - Bruzzone, Bianca

AU - Callegaro, Annapaola

AU - Di Giambenedetto, Simona

AU - Gonnelli, Angela

AU - Menzo, Stefano

AU - Zazzi, Maurizio

AU - Giacometti, Andrea

AU - Baldanti, Fausto

AU - Rusconi, Stefano

AU - Maggiolo, Franco

AU - De Luca, Andrea

PY - 2009

Y1 - 2009

N2 - Objectives: To test retrospectively the ability of four freely available rules-based expert systems to predict short- and medium-term virological outcome following an antiretroviral treatment switch in pre-treated HIV-1 patients. Methods: The HIV-1 genotype interpretation systems (GISs) HIVdb, ANRS, Rega and AntiRetroScan were tested for their accuracy in predicting response to highly active antiretroviral therapy using 8 week (n = 765) and 24 week (n = 634) follow-up standardized treatment change episodes extracted from the Italian Antiretroviral Resistance Cohort Analysis (ARCA) database. A genotypic sensitivity score (GSS) was derived for each genotype-treatment pair for the different GISs and tested as a predictor of virological treatment outcome by univariable and multivariable logistic regression as well as by receiver operating characteristic curve analysis. The two systems implementing drug potency weights (AntiRetroScan and Rega) were evaluated with and without this correction factor. Results: All four GSSs were strong predictors of virological treatment outcome at both 8 and 24 weeks after adjusting for baseline viro-immunological parameters and previous drug exposure (odds ratios ranging from 2.04 to 2.43 per 1 unit GSS increase; P < 0.001 for all the systems). The accuracy of AntiRetroScan and Rega was significantly increased by drug potency weighting with respect to the unweighted versions (P ≤ 0.001). HIVdb and ANRS also increased their performance with the same drug potency weighting adopted by AntiRetroScan and Rega, respectively (P < 0.001 for both analyses). Conclusions: Currently available GISs are valuable tools for assisting antiretroviral treatment choices. Drug potency weighting can increase the accuracy of all systems. © The Author 2009. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved.

AB - Objectives: To test retrospectively the ability of four freely available rules-based expert systems to predict short- and medium-term virological outcome following an antiretroviral treatment switch in pre-treated HIV-1 patients. Methods: The HIV-1 genotype interpretation systems (GISs) HIVdb, ANRS, Rega and AntiRetroScan were tested for their accuracy in predicting response to highly active antiretroviral therapy using 8 week (n = 765) and 24 week (n = 634) follow-up standardized treatment change episodes extracted from the Italian Antiretroviral Resistance Cohort Analysis (ARCA) database. A genotypic sensitivity score (GSS) was derived for each genotype-treatment pair for the different GISs and tested as a predictor of virological treatment outcome by univariable and multivariable logistic regression as well as by receiver operating characteristic curve analysis. The two systems implementing drug potency weights (AntiRetroScan and Rega) were evaluated with and without this correction factor. Results: All four GSSs were strong predictors of virological treatment outcome at both 8 and 24 weeks after adjusting for baseline viro-immunological parameters and previous drug exposure (odds ratios ranging from 2.04 to 2.43 per 1 unit GSS increase; P < 0.001 for all the systems). The accuracy of AntiRetroScan and Rega was significantly increased by drug potency weighting with respect to the unweighted versions (P ≤ 0.001). HIVdb and ANRS also increased their performance with the same drug potency weighting adopted by AntiRetroScan and Rega, respectively (P < 0.001 for both analyses). Conclusions: Currently available GISs are valuable tools for assisting antiretroviral treatment choices. Drug potency weighting can increase the accuracy of all systems. © The Author 2009. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved.

KW - Algorithm; Drug resistance; Genotype; Adult; Animals; Anti-HIV Agents; Female; Genotype; HIV Infections; HIV-1; Humans; Italy; Logistic Models; Male; Microbial Sensitivity Tests; Middle Aged; Prognosis; RNA

KW - Viral; ROC Curve; Retrospective Studies; Treatment Outcome; Pharmacology; Pharmacology (medical); Infectious Diseases

UR - http://hdl.handle.net/10447/215328

M3 - Article

VL - 64

SP - 616

EP - 624

JO - Journal of Antimicrobial Chemotherapy

JF - Journal of Antimicrobial Chemotherapy

SN - 0305-7453

ER -