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The VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study

OBJECTIVES: The VACS Index is highly predictive of all-cause mortality among HIV infected individuals within the first few years of combination antiretroviral therapy (cART). However, its accuracy among highly treatment experienced individuals and its responsiveness to treatment interventions have y...

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Autores principales: Brown, Sheldon T., Tate, Janet P., Kyriakides, Tassos C., Kirkwood, Katherine A., Holodniy, Mark, Goulet, Joseph L., Angus, Brian J., Cameron, D. William, Justice, Amy C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965438/
https://www.ncbi.nlm.nih.gov/pubmed/24667813
http://dx.doi.org/10.1371/journal.pone.0092606
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author Brown, Sheldon T.
Tate, Janet P.
Kyriakides, Tassos C.
Kirkwood, Katherine A.
Holodniy, Mark
Goulet, Joseph L.
Angus, Brian J.
Cameron, D. William
Justice, Amy C.
author_facet Brown, Sheldon T.
Tate, Janet P.
Kyriakides, Tassos C.
Kirkwood, Katherine A.
Holodniy, Mark
Goulet, Joseph L.
Angus, Brian J.
Cameron, D. William
Justice, Amy C.
author_sort Brown, Sheldon T.
collection PubMed
description OBJECTIVES: The VACS Index is highly predictive of all-cause mortality among HIV infected individuals within the first few years of combination antiretroviral therapy (cART). However, its accuracy among highly treatment experienced individuals and its responsiveness to treatment interventions have yet to be evaluated. We compared the accuracy and responsiveness of the VACS Index with a Restricted Index of age and traditional HIV biomarkers among patients enrolled in the OPTIMA study. METHODS: Using data from 324/339 (96%) patients in OPTIMA, we evaluated associations between indices and mortality using Kaplan-Meier estimates, proportional hazards models, Harrel’s C-statistic and net reclassification improvement (NRI). We also determined the association between study interventions and risk scores over time, and change in score and mortality. RESULTS: Both the Restricted Index (c = 0.70) and VACS Index (c = 0.74) predicted mortality from baseline, but discrimination was improved with the VACS Index (NRI = 23%). Change in score from baseline to 48 weeks was more strongly associated with survival for the VACS Index than the Restricted Index with respective hazard ratios of 0.26 (95% CI 0.14–0.49) and 0.39(95% CI 0.22–0.70) among the 25% most improved scores, and 2.08 (95% CI 1.27–3.38) and 1.51 (95%CI 0.90–2.53) for the 25% least improved scores. CONCLUSIONS: The VACS Index predicts all-cause mortality more accurately among multi-drug resistant, treatment experienced individuals and is more responsive to changes in risk associated with treatment intervention than an index restricted to age and HIV biomarkers. The VACS Index holds promise as an intermediate outcome for intervention research.
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spelling pubmed-39654382014-03-27 The VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study Brown, Sheldon T. Tate, Janet P. Kyriakides, Tassos C. Kirkwood, Katherine A. Holodniy, Mark Goulet, Joseph L. Angus, Brian J. Cameron, D. William Justice, Amy C. PLoS One Research Article OBJECTIVES: The VACS Index is highly predictive of all-cause mortality among HIV infected individuals within the first few years of combination antiretroviral therapy (cART). However, its accuracy among highly treatment experienced individuals and its responsiveness to treatment interventions have yet to be evaluated. We compared the accuracy and responsiveness of the VACS Index with a Restricted Index of age and traditional HIV biomarkers among patients enrolled in the OPTIMA study. METHODS: Using data from 324/339 (96%) patients in OPTIMA, we evaluated associations between indices and mortality using Kaplan-Meier estimates, proportional hazards models, Harrel’s C-statistic and net reclassification improvement (NRI). We also determined the association between study interventions and risk scores over time, and change in score and mortality. RESULTS: Both the Restricted Index (c = 0.70) and VACS Index (c = 0.74) predicted mortality from baseline, but discrimination was improved with the VACS Index (NRI = 23%). Change in score from baseline to 48 weeks was more strongly associated with survival for the VACS Index than the Restricted Index with respective hazard ratios of 0.26 (95% CI 0.14–0.49) and 0.39(95% CI 0.22–0.70) among the 25% most improved scores, and 2.08 (95% CI 1.27–3.38) and 1.51 (95%CI 0.90–2.53) for the 25% least improved scores. CONCLUSIONS: The VACS Index predicts all-cause mortality more accurately among multi-drug resistant, treatment experienced individuals and is more responsive to changes in risk associated with treatment intervention than an index restricted to age and HIV biomarkers. The VACS Index holds promise as an intermediate outcome for intervention research. Public Library of Science 2014-03-25 /pmc/articles/PMC3965438/ /pubmed/24667813 http://dx.doi.org/10.1371/journal.pone.0092606 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Brown, Sheldon T.
Tate, Janet P.
Kyriakides, Tassos C.
Kirkwood, Katherine A.
Holodniy, Mark
Goulet, Joseph L.
Angus, Brian J.
Cameron, D. William
Justice, Amy C.
The VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study
title The VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study
title_full The VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study
title_fullStr The VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study
title_full_unstemmed The VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study
title_short The VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study
title_sort vacs index accurately predicts mortality and treatment response among multi-drug resistant hiv infected patients participating in the options in management with antiretrovirals (optima) study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965438/
https://www.ncbi.nlm.nih.gov/pubmed/24667813
http://dx.doi.org/10.1371/journal.pone.0092606
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