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 in | Clinical infectious diseases Vol. 42; no. 10; pp. 1470 - 1480 | 
|---|---|
| Main Authors | , , , , , , , , , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Chicago, IL
          The University of Chicago Press
    
        15.05.2006
     University of Chicago Press Oxford University Press  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1058-4838 1537-6591 1537-6591  | 
| DOI | 10.1086/503568 | 
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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. | 
    
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| 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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| Cites_doi | 10.1086/429917 10.1097/00002030-200003310-00005 10.1097/00002030-200411050-00007 10.1097/00002030-200202150-00008 10.1097/00002030-200203290-00008 10.1086/375355 10.1097/00002030-200109070-00010 10.1097/00002030-200201250-00010 10.1097/00002030-200006160-00001 10.1086/376512 10.1097/00002030-200203080-00009 10.1016/S0140-6736(98)12291-2  | 
    
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| Copyright | Copyright 2006 The Infectious Diseases Society of America 2006 by the Infectious Diseases Society of America 2006 2006 INIST-CNRS Copyright University of Chicago, acting through its Press May 15, 2006  | 
    
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| Keywords | Immunopathology Typing Genotype AIDS Immune deficiency Algorithm Infection Phenotype Microbiological investigation Viral disease Clinical trial Mutation Salvage treatment Comparative study  | 
    
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| PublicationTitle | Clinical infectious diseases | 
    
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| References | (11_38492558) 2003; 187 (9_38408740) 2003; 188 (10_38273270) 2005; 40 Meynard (1_17015834) 2002; 16 Haubrich (2_18764656) 2005; 19 Baxter (4_10388775) 2000; 14 Cingolani (6_16905712) 2002; 16 Durant (3_10874671) 1999; 353 d'Arminio Monforte (12_6565236) 2000; 14 Cohen (5_16938145) 2002; 16 Harrigan (8_11310537) 2001; 15 Tural (7_16883650) 2002; 16 Panidou (13_18549423) 2004; 18  | 
    
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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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