Evidence map›Paper›PMID 25413893›Full record

ArticleJournal of the International AIDS Society2014

HIV diversity and drug resistance from plasma and non-plasma analytes in a large treatment programme in western Kenya.

Rami Kantor, Allison DeLong, Maya Balamane, Leeann Schreier, Robert M Lloyd, Wilfred Injera, Lydia Kamle, Fidelis Mambo, Sarah Muyonga, David Katzenstein and 3 more

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of the International AIDS Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

13 authors at 5 institutions in 2 countries.

Rami KantorDivision of Infectious Diseases, Alpert Medical School, Brown University, Providence, RI, USA; rkantor@brown.edu.
Allison DeLongCenter for Statistical Sciences, Brown University, Providence, RI, USA.
Maya BalamaneDivision of Infectious Diseases, Alpert Medical School, Brown University, Providence, RI, USA; Division of Infectious Diseases, Stanford University, Stanford, CA, USA.
Leeann SchreierDivision of Infectious Diseases, Alpert Medical School, Brown University, Providence, RI, USA.
Robert M LloydResearch Think Tank, Inc., Buford, GA, USA.
Wilfred InjeraDepartment of Medicine, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya; Academic Model Providing Access To Health Care (AMPATH), Eldoret, Kenya.
Lydia KamleDepartment of Medicine, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya; Academic Model Providing Access To Health Care (AMPATH), Eldoret, Kenya.
Fidelis MamboDepartment of Medicine, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya; Academic Model Providing Access To Health Care (AMPATH), Eldoret, Kenya.
Sarah MuyongaDepartment of Medicine, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya; Academic Model Providing Access To Health Care (AMPATH), Eldoret, Kenya.
David KatzensteinDivision of Infectious Diseases, Stanford University, Stanford, CA, USA.
Joseph HoganCenter for Statistical Sciences, Brown University, Providence, RI, USA.
Nathan BuzibaDepartment of Medicine, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya; Department of Hematology and Blood Transfusion, College of Health Sciences, Moi University, Eldoret, Kenya.
Lameck DieroDepartment of Medicine, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya; Academic Model Providing Access To Health Care (AMPATH), Eldoret, Kenya.
Brown University · USMoi University · KEAMPATH · KEStanford University · USThink Surgical (United States) · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Miriam/Brown/Tufts Fogarty AIDS International Training and Research ProgramD43TW000237 · FIC · MIRIAM HOSPITAL · PI CU-UVIN, SUSAN · 1993 to 2014
$10.6M
Spatial Analysis CoreR24HD041020 · NICHD · BROWN UNIVERSITY · PI FOSTER, ANDREW D. · 2001 to 2016
$7.4M
HIV-1 Drug Resistance in Different SubtypesR01AI066922 · NIAID · STANFORD UNIVERSITY · PI KANTOR, RAMI, KATZENSTEIN, DAVID ALLENBERG · 2008 to 2012
$3.6M
FIC NIH HHS D43 TW000237NIAID NIH HHS P30 AI042853NIAID NIH HHS P30AI42853NIAID NIH HHS R01 AI066922NIAID NIH HHS R01AI066922NICHD NIH HHS R24 HD041020
6 · The paper itself

Abstract

introductionAntiretroviral resistance leads to treatment failure and resistance transmission. Resistance data in western Kenya are limited. Collection of non-plasma analytes may provide additional resistance information.

methodsWe assessed HIV diversity using the REGA tool, transmitted resistance by the WHO mutation list and acquired resistance upon first-line failure by the IAS-USA mutation list, at the Academic Model Providing Access to Healthcare (AMPATH), a major treatment programme in western Kenya. Plasma and four non-plasma analytes, dried blood-spots (DBS), dried plasma-spots (DPS), ViveST(TM)-plasma (STP) and ViveST-blood (STB), were compared to identify diversity and evaluate sequence concordance.

resultsAmong 122 patients, 62 were treatment-naïve and 60 treatment-experienced; 61% were female, median age 35 years, median CD4 182 cells/µL, median viral-load 4.6 log10 copies/mL. One hundred and ninety-six sequences were available for 107/122 (88%) patients, 58/62 (94%) treatment-naïve and 49/60 (82%) treated; 100/122 (82%) plasma, 37/78 (47%) attempted DBS, 16/45 (36%) attempted DPS, 14/44 (32%) attempted STP from fresh plasma and 23/34 (68%) from frozen plasma, and 5/42 (12%) attempted STB. Plasma and DBS genotyping success increased at higher VL and shorter shipment-to-genotyping time. Main subtypes were A (62%), D (15%) and C (6%). Transmitted resistance was found in 1.8% of plasma sequences, and 7% combining analytes. Plasma resistance mutations were identified in 91% of treated patients, 76% NRTI, 91% NNRTI; 76% dual-class; 60% with intermediate-high predicted resistance to future treatment options; with novel mutation co-occurrence patterns. Nearly 88% of plasma mutations were identified in DBS, 89% in DPS and 94% in STP. Of 23 discordant mutations, 92% in plasma and 60% in non-plasma analytes were mixtures. Mean whole-sequence discordance from frozen plasma reference was 1.1% for plasma-DBS, 1.2% plasma-DPS, 2.0% plasma-STP and 2.3% plasma-STB. Of 23 plasma-STP discordances, one mutation was identified in plasma and 22 in STP (p<0.05). Discordance was inversely significantly related to VL for DBS.

conclusionsIn a large treatment programme in western Kenya, we report high HIV-1 subtype diversity; low plasma transmitted resistance, increasing when multiple analytes were combined; and high-acquired resistance with unique mutation patterns. Resistance surveillance may be augmented by using non-plasma analytes for lower-cost genotyping in resource-limited settings.

Indexed as

Drug Resistance, ViralGenetic VariationAdultAgedAnti-Retroviral AgentsBloodFemaleGenotypeGenotyping TechniquesHIV-1HIV InfectionsHumansKenyaMaleMicrobial Sensitivity TestsMiddle AgedAnti-Retroviral AgentsAMPATHanalytediversitydrug resistanceHIVKenyasubtype

Identifiers

PMID25413893
PMCPMC4238965
OpenAlexW2066105605

What OpenQuestion holds

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LicenceCC BY
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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.