Evidence map›Paper›PMID 21674057›Full record

ArticlePloS one2011

Clinical predictors of immune reconstitution following combination antiretroviral therapy in patients from the Australian HIV Observational Database.

Reena Rajasuriar, Maelenn Gouillou, Tim Spelman, Tim Read, Jennifer Hoy, Matthew Law, Paul U Cameron, Kathy Petoumenos, Sharon R Lewin

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  10. Polymorphism rs1385129 Within Glut1 GeneFrontiers in immunology · 2018
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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

9 authors.

Reena RajasuriarDepartment of Medicine, Monash University, Melbourne, Victoria, Australia.
Maelenn Gouillou
Tim Spelman
Tim Read
Jennifer Hoy
Matthew Law
Paul U Cameron
Kathy Petoumenos
Sharon R Lewin

Funding

The Asia-Pacific HIV Research CollaborationU01AI069907 · NIAID · FOUNDATION FOR AIDS RESEARCH · PI ANNETTE H SOHN · 2006 to 2026
$44.8M
NIAID NIH HHS U01 AI069907NIAID NIH HHS U01-AI069907
6 · The paper itself

Abstract

backgroundA small but significant number of patients do not achieve CD4 T-cell counts >500 cells/µl despite years of suppressive cART. These patients remain at risk of AIDS and non-AIDS defining illnesses. The aim of this study was to identify clinical factors associated with CD4 T-cell recovery following long-term cART.

methodsPatients with the following inclusion criteria were selected from the Australian HIV Observational Database (AHOD): cART as their first regimen initiated at CD4 T-cell count <500 cells/µl, HIV RNA<500 copies/ml after 6 months of cART and sustained for at least 12 months. The Cox proportional hazards model was used to identify determinants associated with time to achieve CD4 T-cell counts >500 cells/µl and >200 cells/µl.

results501 patients were eligible for inclusion from AHOD (n = 2853). The median (IQR) age and baseline CD4 T-cell counts were 39 (32-47) years and 236 (130-350) cells/µl, respectively. A major strength of this study is the long follow-up duration, median (IQR) = 6.5(3-10) years. Most patients (80%) achieved CD4 T-cell counts >500 cells/µl, but in 8%, this took >5 years. Among the patients who failed to reach a CD4 T-cell count >500 cells/µl, 16% received cART for >10 years. In a multivariate analysis, faster time to achieve a CD4 T-cell count >500 cells/µl was associated with higher baseline CD4 T-cell counts (p<0.001), younger age (p = 0.019) and treatment initiation with a protease inhibitor (PI)-based regimen (vs. non-nucleoside reverse transcriptase inhibitor, NNRTI; p = 0.043). Factors associated with achieving CD4 T-cell counts >200 cells/µl included higher baseline CD4 T-cell count (p<0.001), not having a prior AIDS-defining illness (p = 0.018) and higher baseline HIV RNA (p<0.001).

conclusionThe time taken to achieve a CD4 T-cell count >500 cells/µl despite long-term cART is prolonged in a subset of patients in AHOD. Starting cART early with a PI-based regimen (vs. NNRTI-based regimen) is associated with more rapid recovery of a CD4 T-cell count >500 cells/µl.

Indexed as

Databases, FactualAdolescentAdultAnti-HIV AgentsAustraliaCD4 Lymphocyte CountDrug Therapy, CombinationFemaleFollow-Up StudiesHIV InfectionsHumansMaleMiddle AgedTime FactorsTreatment OutcomeYoung AdultAnti-HIV Agents

Identifiers

PMID21674057
PMCPMC3107235

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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.