Evidence map›Paper›PMID 24667813›Full record

Trial reportPloS one2014

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.

Sheldon T Brown, Janet P Tate, Tassos C Kyriakides, Katherine A Kirkwood, Mark Holodniy, Joseph L Goulet, Brian J Angus, D William Cameron, Amy C Justice, OPTIMA Team

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sheldon T BrownJames J. Peters VA Medical Center, Bronx, New York, United States of America; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Janet P TateSection of General Internal Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, United States of America; Yale University Schools of Medicine and Public Health, New Haven, Connecticut, United States of America.
Tassos C KyriakidesVA Cooperative Studies Program Coordinating Center, VA Connecticut Healthcare System, West Haven, Connecticut, United States of America.
Katherine A KirkwoodVA Cooperative Studies Program Coordinating Center, VA Connecticut Healthcare System, West Haven, Connecticut, United States of America.
Mark HolodniyVA Palo Alto Healthcare System, Palo Alto, California, United States of America; Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States of America.
Joseph L GouletSection of General Internal Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, United States of America; Yale University Schools of Medicine and Public Health, New Haven, Connecticut, United States of America.
Brian J AngusNuffield Department of Medicine, Oxford University, Oxford, United Kingdom.
D William CameronUniversity of Ottawa at the Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Amy C JusticeSection of General Internal Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, United States of America; Yale University Schools of Medicine and Public Health, New Haven, Connecticut, United States of America.
OPTIMA Team

Funding

Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
Translational Research on Alcohol, Immunodeficiency, and Aging In COMpAAASU24AA022001 · NIAAA · YALE UNIVERSITY · PI BRANDT, CYNTHIA A. · 2012 to 2020
$3.2M
CIHRMedical Research CouncilNIAAA NIH HHS U01 AA020790NIAAA NIH HHS U24 AA022001PHS HHS U01-13566
6 · The paper itself

Abstract

objectivesThe 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.

methodsUsing 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.

resultsBoth 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.

conclusionsThe 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.

Indexed as

Drug Resistance, Multiple, ViralModels, BiologicalAdultAgedAge FactorsBiomarkersFollow-Up StudiesHIV InfectionsHumansMaleMiddle AgedPredictive Value of TestsRisk FactorsBiomarkers

Identifiers

PMID24667813
PMCPMC3965438

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.