Evidence map›Paper›PMID 33896212›Full record

ArticleAIDS research and human retroviruses2021

HIV Drug Resistance and Transmission Networks Among a Justice-Involved Population at the Time of Community Reentry in Washington, D.C.

Curt G Beckwith, Sugi Min, Akarsh Manne, Vladimir Novitsky, Mark Howison, Tao Liu, Irene Kuo, Ann Kurth, Lauri Bazerman, Anya Agopian and 1 more

Abstract read
In one paragraph

Article in AIDS research and human retroviruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Curt G BeckwithDivision of Infectious Diseases, The Miriam Hospital, Providence, Rhode Island, USA.
Sugi MinThe Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.ORCID 0000-0002-4981-0421
Akarsh ManneDivision of Infectious Diseases, The Miriam Hospital, Providence, Rhode Island, USA.
Vladimir NovitskyDivision of Infectious Diseases, The Miriam Hospital, Providence, Rhode Island, USA.
Mark HowisonResearch Improving People's Lives, Providence, Rhode Island, USA.
Tao LiuDepartment of Biostatistics, Brown University School of Public Health, Providence, Rhode Island, USA.
Irene KuoGeorge Washington University Milken Institute School of Public Health, Washington, District of Columbia, USA.
Ann KurthYale University School of Nursing, Orange, Connecticut, USA.
Lauri BazermanDivision of Infectious Diseases, The Miriam Hospital, Providence, Rhode Island, USA.
Anya AgopianGeorge Washington University Milken Institute School of Public Health, Washington, District of Columbia, USA.
Rami KantorDivision of Infectious Diseases, The Miriam Hospital, Providence, Rhode Island, USA.

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH, DEBBIE M. CHENG · 1998 to 2026
$51.7M
SWG 2: Cure Research Scientific Working GroupP30AI117970 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI Italo Mocchetti · 2015 to 2026
$29.6M
CARE Corrections: Technology for Jail HIV/HCV Testing, Linkage, and Care (TLC)R01DA030747 · NIDA · MIRIAM HOSPITAL · PI BECKWITH, CURT G, KUO, IRENE · 2010 to 2014
$4.9M
Emerging Infectious Disease Scholars at Brown UniversityR25AI140490 · NIAID · BROWN UNIVERSITY · PI Silvia Shinpei Chiang · 2018 to 2026
$3.0M
HIV Drug Resistance, Monitoring and TransmissionK24AI134359 · NIAID · MIRIAM HOSPITAL · PI Rami Kantor · 2018 to 2026
$1.3M
NIAID NIH HHS K24 AI134359NIAID NIH HHS P30 AI042853NIAID NIH HHS P30 AI117970NIAID NIH HHS R25 AI140490NIDA NIH HHS R01 DA030747
6 · The paper itself

Abstract

Justice-involved (JI) populations bear a disproportionate burden of HIV infection and are at risk of poor treatment outcomes. Drug resistance prevalence and emergence, and phylogenetic inference of transmission networks, understudied in vulnerable JI populations, can inform care and prevention interventions, particularly around the critical community reentry period. We analyzed banked blood specimens from CARE+ Corrections study participants in Washington, D.C. (DC) across three time points and conducted HIV drug resistance testing using next-generation sequencing (NGS) at 20% and 5% thresholds to identify prevalent and evolving resistance during community reentry. Phylogenetic analysis was used to identify molecular clusters within participants, and in an extended analysis between participants and publicly available DC sequences. HIV sequence data from 54 participants (99 specimens) were analyzed. The prevalence of transmitted drug resistance was 14% at both thresholds, and acquired drug resistance was 47% at 20%, and 57% at 5% NGS thresholds, respectively. The overall prevalence of drug resistance was 43% at 20%, and 52% at 5% NGS thresholds, respectively. Among 34 participants sampled longitudinally, 21%-35% accumulated 10-17 new resistance mutations during a mean 4.3 months. In phylogenetic analysis within the JI population, 11% were found in three molecular clusters. The extended phylogenetic analysis identified 46% of participants in 22 clusters, of which 21 also included publicly-available DC sequences, and one JI-only unique dyad. This is the first study to identify a high prevalence of HIV drug resistance and its accumulation in a JI population during community reentry and suggests phylogenetic integration of this population into the non-JI DC HIV community. These data support the need for new, effective, and timely interventions to improve HIV treatment during this vulnerable period, and for JI populations to be included in broader surveillance and prevention efforts.

Indexed as

HIV-1HIV InfectionsDistrict of ColumbiaDrug Resistance, ViralHumansPhylogenySocial Justicedrug resistanceHIVjustice populationstransmission networks

Identifiers

PMID33896212
PMCPMC8716515

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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.