Evidence map›Paper›PMID 27006682›Full record

Observational studyAIDS research and therapy2016

Factors associated with HIV viral load "blips" and the relationship between self-reported adherence and efavirenz blood levels on blip occurrence: a case-control study.

Aaron Farmer, Xun Wang, Anuradha Ganesan, Robert G Deiss, Brian K Agan, Thomas A O'Bryan, Kevin Akers, Jason F Okulicz

Abstract readObservational Study
In one paragraph

Observational study in AIDS research and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  11. Patterns of detectable viraemia among children and adults with HIV infection taking antiretroviral therapy in Zimbabwe.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2019
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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

8 authors.

Aaron FarmerInfectious Disease Service, San Antonio Military Medical Center, 3551 Roger Brooke Drive, Fort Sam Houston, TX USA.
Xun WangInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD USA ; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD USA.
Anuradha GanesanInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD USA ; Walter Reed National Military Medical Center, Bethesda, MD USA ; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD USA.
Robert G DeissInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD USA ; Division of Infectious Diseases, Naval Medical Center of San Diego, San Diego, CA USA ; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD USA.
Brian K AganInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD USA ; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD USA.
Thomas A O'BryanInfectious Disease Service, San Antonio Military Medical Center, 3551 Roger Brooke Drive, Fort Sam Houston, TX USA ; Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD USA ; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD USA.
Kevin AkersInfectious Disease Service, San Antonio Military Medical Center, 3551 Roger Brooke Drive, Fort Sam Houston, TX USA ; United States Army Institute of Surgical Research, Fort Sam Houston, TX USA.
Jason F OkuliczInfectious Disease Service, San Antonio Military Medical Center, 3551 Roger Brooke Drive, Fort Sam Houston, TX USA ; Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD USA.

Funding

DATA CENTER FOR EPIDEMIOLOGIC INVESTIGATIONS OF HIVN01AI005072 · NIAID · NEW ENGLAND RESEARCH INSTITUTES, INC. · PI MCKINLAY, SONJA M · 1990 to 1994
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NIAID NIH HHS Y01 AI005072NIAID NIH HHS Y1-AI-5072
6 · The paper itself

Abstract

backgroundThe uncertain etiology of HIV viral load (VL) blips may lead to increased use of clinical resources. We evaluated the association of self-reported adherence (SRA) and antiretroviral (ART) drug levels on blip occurrence in US Military HIV Natural History Study (NHS) participants who initiated the single-tablet regimen efavirenz/emtricitabine/tenofovir disoproxil fumarate (EFV/FTC/TDF).

methodsART-naïve NHS participants started on EFV/FTC/TDF between 2006 and 2013 who achieved VL suppression (<50 copies/mL) within 12 months and had available SRA and stored plasma samples were included. Participants with viral blips were compared with those who maintained VL suppression without blips. Untimed EFV plasma levels were evaluated on consecutive blip and non-blip dates by high performance liquid chromatography, with a level ≥1 mcg/mL considered therapeutic. SRA was categorized as ≥85 or <85 %. Descriptive statistics were performed for baseline characteristics and univariate and multivariate Cox proportional hazard models were used to assess the relationship between covariates and blip occurrence.

resultsA total of 772 individuals met inclusion criteria, including 99 (13 %) blip and 673 (87 %) control participants. African-American was the predominant ethnicity and the mean age was 29 years for both groups. SRA ≥ 85 % was associated with therapeutic EFV levels at both blip and non-blip time points (P = 0.0026); however no association was observed between blips and SRA or EFV levels among cases. On univariate analysis of cases versus controls, blips were associated with higher mean pre-treatment VL (HR 1.45, 95 % CI 1.11-1.89) and pre-treatment CD4 count <350 cells/µL (68.1 vs 49.7 %). Multivariate analysis also showed that blips were associated with a higher mean VL (HR 1.42, 95 % CI 1.08-1.88; P = 0.0123) and lower CD4 count at ART initiation, with CD4 ≥500 cells/µL having a protective effect (HR 0.45, 95 % CI 0.22-0.95; P = 0.0365). No association was observed for demographic characteristics or SRA.

conclusionBlips are commonly encountered in the clinical management of HIV-infected patients. Although blip occurrence was not associated with SRA or EFV blood levels in our study, blips were associated with HIV-related factors of pre-ART high VL and low CD4 count. Additional studies are needed to determine the etiology of blips in HIV-infected patients.

Indexed as

Drug MonitoringAdultAlkynesAnti-HIV AgentsBenzoxazinesCase-Control StudiesCyclopropanesFemaleHIV InfectionsHumansMaleProspective StudiesSelf ReportViral LoadAlkynesAnti-HIV AgentsBenzoxazinesCyclopropanesefavirenzBlipsHuman immunodeficiency virusSelf-reported adherence

Identifiers

PMID27006682
PMCPMC4802903

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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.