Evidence map›Paper›PMID 38009461›Full record

ArticleTropical medicine & international health : TM & IH2024

Investigating rates and predictors of viral blips, low-level viraemia and virological failure in the Australian HIV observational database.

Win Min Han, Jennifer Broom, Rohan Bopage, David J Templeton, Natalie Edmiston, Kathy Petoumenos, Australian HIV Observational Database

Open access · hybridAbstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. HIV-1 Low-Level Viremia Predicts Viral Failure in Participants on Antiretroviral Therapy in the Swiss HIV Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  6. Review
  7. Article
  8. Observational
  9. 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

7 authors at 5 institutions in 1 country.

Win Min HanKirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.
Jennifer BroomInfectious Diseases Research Network, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Rohan BopageWestern Sydney Sexual Health Centre and Westmead Clinical School, University of Sydney, Sydney, New South Wales, Australia.
David J TempletonKirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.
Natalie EdmistonSchool of Medicine, Western Sydney University, Sydney, New South Wales, Australia.
Kathy PetoumenosKirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.
Australian HIV Observational Database
UNSW Sydney · AUSunshine Coast University Hospital · AUSydney Local Health District · AUSydney Sexual Health Centre · AUWestern Sydney University · AU

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 AI069907
6 · The paper itself

Abstract

objectivesAustralia has made significant progress towards achieving the UNAIDS's 95-95-95 cascade targets including HIV viral suppression. To investigate the burden of HIV viraemia, we assessed viral blips, low-level viraemia (LLV) and virologic failure (VF) in an Australian cohort.

methodsWe studied the proportion of people with viral suppression, viral blips, LLV and VF in the Australian HIV observational database (AHOD) between 2010 and 2021. The association between blips or LLV, and VF was investigated using Cox regression, and predictors of viral blips and LLV were assessed using repeated-measured logistic regression.

resultsAmong 2544 AHOD participants who were in follow-up and on antiretroviral therapy (ART) from 1 January 2010 (88.7% male), 444 had experienced VF (incidence rate: 2.45 [95% CI: 2.23-2.69] per 100 person-years [PY]) during 18,125 PY of follow-up (a median of 7.6 years). The proportion of people with VF decreased over time, whereas rates of blips and LLV remained stable. Participants with blips (hazard ratio, 2.89; 95% CI: 2.31-3.61) and LLV (4.46; 95% CI: 3.38-5.89) were at increased risk of VF. Hepatitis B co-infection, longer documented treatment interruption duration, younger age and lower CD4 at ART initiation, and protease inhibitors-based initial regimen were associated with an increased risk of VF. Common predictors of blips and LLV such as higher HIV-1 RNA and lower CD4 at ART initiation, longer treatment interruption, more VL testing and types of care settings (hospitals vs. sexual health services) were identified.

conclusionsBlips and LLV predict subsequent VF development. We identified important predictors of HIV viraemia including VF among individuals on INSTI-based regimens to help direct HIV management plans.

Indexed as

Anti-HIV AgentsHepatitis BHIV-1HIV InfectionsAustraliaFemaleHumansMaleTreatment FailureViral LoadViremiaAnti-HIV AgentsHIVlow-level viraemiatreatment failureviral blipvirological failure

Identifiers

PMID38009461
PMCPMC11108647
OpenAlexW4389037782

What OpenQuestion holds

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Registered trials

None linked

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.