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Decision-making by people living with HIV requires communication from clinicians about the risks of transmission despite undetectable plasma viral load

2011· letter· en· W1545493282 on OpenAlexaff
SR Hosein, DP Wilson

Bibliographic record

VenueHIV Medicine · 2011
Typeletter
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsCanadian AIDS Treatment Information Exchange
Fundersnot available
KeywordsViral loadMedicineTransmission (telecommunications)Sexual transmissionImmunologyMen who have sex with menHuman immunodeficiency virus (HIV)SemenVirology

Abstract

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We thank Engsig et al. [1] for their analysis of the possible sexual transmission of HIV from patients whose viral load is <50 HIV-1 RNA copies/mL. The impetus for their work is the claim of the Swiss Federal Commission for HIV/AIDS that patients with undetectable plasma viral loads for six consecutive months are noninfectious provided that there are no concurrent sexually transmitted infections (STIs). Engsig et al. have found that regularly monitored HIV-infected patients on highly active antiretroviral therapy (HAART) may present a greater risk of transmission than purported by the Swiss statement, particularly in the initial 12 months of therapy. This finding, inferred from their data about the dynamic nature of plasma viral loads, is important and extends our knowledge about HIV transmission risk. One of several concerns with the Swiss statement is its reliance on data almost exclusively from heterosexual couples and the lack of evidence on the magnitude of transmission risks associated with low viral loads. Our recent work in Sydney [2] suggests that, despite the widespread availability of HAART, transmission rates among men who have sex with men (MSM) are now astonishingly similar to those seen in the pre-HAART era. Diagnosis rates have been increasing in Australia in an era of increased HAART coverage and effectiveness. Similar findings have been reported from France [3]. Although HIV may be undetectable in blood, it may be present in semen or genital fluids at infectious levels. Indeed, the association between plasma viral load and seminal viral load is far from perfect. For example, Lorello et al. [4] investigated 33 HIV-positive men who had plasma viral loads of <50 copies/mL for a mean of 3.96 years and who had been screened for STIs. Two of 33 men (6%) had detectable HIV in their semen. In another study, Sheth et al. [5] followed a prospective cohort of 25 men free of STIs initiating HAART. Despite their achieving a plasma viral load of <50 copies/mL, HIV was detectable in semen samples of 48% of the men on more than one occasion. In a control group of 13 other HIV-infected men who had undetectable plasma viral load at every 3-monthly assessment for the past 7 years, HIV was detected in semen samples in 31% of these men. Sheth et al. could not find any relationship between semen viral loads and the concentration of antiretroviral drugs in that compartment. HIV detected in semen samples was sensitive to drugs used by study participants. The degree of sexual infectiousness of MSM for given viral loads in plasma (or in semen or the rectum) is still not known. However, the results of Engsig et al., Lorello et al. and Sheth et al. underscore the possibility that, in some cases, HIV transmission may occur despite an undetectable plasma viral load. An undetectable plasma viral load does not imply an undetectable viral load in semen or rectal fluids. We encourage clinicians to communicate these results when counselling their MSM patients about the risk of HIV transmission while taking HAART. Such communication helps patients and their partner(s) make an informed choice about HIV risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.361
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

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