Comparison of a Rule-Based Algorithm with a Phenotype-Based Algorithm for the Interpretation of HIV Genotypes in Guiding Salvage Regimens in HIV-Infected Patients by a Randomized Clinical Trial: The Mutations and Salvage Study

Background. There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. Methods. A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratif...

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Published inClinical infectious diseases Vol. 42; no. 10; pp. 1470 - 1480
Main Authors Gianotti, Nicola, Mondino, Vincenzo, Rossi, Maria Cristina, Chiesa, Elisabetta, Mezzaroma, Ivano, Ladisa, Nicoletta, Guaraldi, Giovanni, Torti, Carlo, Tarquini, Pierluigi, Castelli, Paula, Di Carlo, Aldo, Boeri, Enzo, Keulen, Wilco, Mc Kenna, Paula, Lazzarin, Adriano
Format Journal Article
LanguageEnglish
Published Chicago, IL The University of Chicago Press 15.05.2006
University of Chicago Press
Oxford University Press
Subjects
Online AccessGet full text
ISSN1058-4838
1537-6591
1537-6591
DOI10.1086/503568

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Abstract Background. There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. Methods. A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1 : 1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor—naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis. Results. The mean (± standard deviation) values at baseline were as follows: HIV RNA level, 4.1 ± 0.74 log10 copies/mL; CD4+ T lymphocyte count, 410 ± 262 cells/µL; reverse-transcriptase mutations, 4.8 ± 2.9; and protease mutations, 2.8 ± 2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis. Conclusion. Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.
AbstractList Background. There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. Methods. A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1:1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor-naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis. Results. The mean (± standard deviation) values at baseline were as follows: HIV RNA level, 4.1 ± 0.74 log₁₀ copies/mL; CD4⁺ T lymphocyte count, 410 ± 262 cells/μL; reverse-transcriptase mutations, 4.8 ± 2.9; and protease mutations, 2.8 ± 2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis. Conclusion. Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.
Background. There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. Methods. A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1 : 1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor—naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis. Results. The mean (± standard deviation) values at baseline were as follows: HIV RNA level, 4.1 ± 0.74 log10 copies/mL; CD4+ T lymphocyte count, 410 ± 262 cells/µL; reverse-transcriptase mutations, 4.8 ± 2.9; and protease mutations, 2.8 ± 2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis. Conclusion. Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.
There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1 : 1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor-naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis. The mean ( plus or minus standard deviation) values at baseline were as follows: HIV RNA level, 4.1 plus or minus 0.74 log sub(10) copies/mL; CD4 super(+) T lymphocyte count, 410 plus or minus 262 cells/ mu L; reverse-transcriptase mutations, 4.8 plus or minus 2.9; and protease mutations, 2.8 plus or minus 2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis. Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.
There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1:1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor-naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis. The mean (+/- standard deviation) values at baseline were as follows: HIV RNA level, 4.1+/-0.74 log(10) copies/mL; CD4(+) T lymphocyte count, 410+/-262 cells/microL; reverse-transcriptase mutations, 4.8+/-2.9; and protease mutations, 2.8+/-2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis. Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.
There is still considerable uncertainly as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1:1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor-naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis. The mean (± standard deviation) values at baseline were as follows: HIV RNA level, 4.1 ± 0.74 log^sub 10^ copies/mL; CD4^sup +^ T lymphocyte count, 410 ± 262 cells/µL; reverse-transcriptase mutations, 4.8 ± 2.9; and protease mutations, 2.8 ± 2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis. Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.
There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results.BACKGROUNDThere is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results.A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1:1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor-naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis.METHODSA total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1:1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor-naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis.The mean (+/- standard deviation) values at baseline were as follows: HIV RNA level, 4.1+/-0.74 log(10) copies/mL; CD4(+) T lymphocyte count, 410+/-262 cells/microL; reverse-transcriptase mutations, 4.8+/-2.9; and protease mutations, 2.8+/-2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis.RESULTSThe mean (+/- standard deviation) values at baseline were as follows: HIV RNA level, 4.1+/-0.74 log(10) copies/mL; CD4(+) T lymphocyte count, 410+/-262 cells/microL; reverse-transcriptase mutations, 4.8+/-2.9; and protease mutations, 2.8+/-2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis.Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.CONCLUSIONBoth the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.
Background . There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. Methods . A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1 : 1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor-naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis. Results . The mean (± standard deviation) values at baseline were as follows: HIV RNA level, 4.1 ± 0.74 log10 copies/mL; CD4+ T lymphocyte count, 410 ± 262 cells/µL; reverse-transcriptase mutations, 4.8 ± 2.9; and protease mutations, 2.8 ± 2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis. Conclusion . Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.
Author Lazzarin, Adriano
Torti, Carlo
Castelli, Paula
Di Carlo, Aldo
Gianotti, Nicola
Tarquini, Pierluigi
Guaraldi, Giovanni
Rossi, Maria Cristina
Mezzaroma, Ivano
Ladisa, Nicoletta
Chiesa, Elisabetta
Mondino, Vincenzo
Boeri, Enzo
Keulen, Wilco
Mc Kenna, Paula
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CitedBy_id crossref_primary_10_1002_14651858_CD006495_pub5
crossref_primary_10_1097_01_COH_0000247388_00862_bb
crossref_primary_10_1002_jmv_21152
crossref_primary_10_1002_jmv_21261
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Issue 10
Keywords Immunopathology
Typing
Genotype
AIDS
Immune deficiency
Algorithm
Infection
Phenotype
Microbiological investigation
Viral disease
Clinical trial
Mutation
Salvage treatment
Comparative study
Language English
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PublicationTitle Clinical infectious diseases
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Snippet Background. There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. Methods. A...
Background . There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. Methods ....
There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. A total of 318...
There is still considerable uncertainly as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. A total of 318...
There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. A total of 318...
There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results.BACKGROUNDThere is...
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SubjectTerms Adult
AIDS
Algorithms
Amino acids
Anti-HIV Agents - therapeutic use
Antiretroviral agents
Antiretroviral drugs
Antiretroviral Therapy, Highly Active
Antiretrovirals
Antivirals
Biological and medical sciences
Clinical trials
Female
Genetic algorithms
Genetic mutation
Genotype
Genotype & phenotype
Genotypes
HIV
HIV - genetics
HIV Infections - drug therapy
HIV Protease Inhibitors - therapeutic use
HIV/AIDS
Human immunodeficiency virus
Human viral diseases
Humans
Immunodeficiencies
Immunodeficiencies. Immunoglobulinopathies
Immunopathology
Infectious diseases
Italy
Lymphocytes
Male
Medical sciences
Middle Aged
Mutation
Phenotype
Phenotypes
Proteinase inhibitors
Reverse Transcriptase Inhibitors - therapeutic use
RNA
RNA, Viral - blood
RNA, Viral - genetics
Salvage Therapy
Statistical significance
Viral diseases
Viral diseases of the lymphoid tissue and the blood. Aids
Viral Load
Virology
Title Comparison of a Rule-Based Algorithm with a Phenotype-Based Algorithm for the Interpretation of HIV Genotypes in Guiding Salvage Regimens in HIV-Infected Patients by a Randomized Clinical Trial: The Mutations and Salvage Study
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