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Record W2781854031 · doi:10.1097/qad.0000000000001711

What is the risk of major congenital abnormalities among women on antiretroviral therapy?

2018· article· en· W2781854031 on OpenAlexaboutno aff
Rebecca Zash, Paige L. Williams, Lewis B. Holmes

Bibliographic record

VenueAIDS · 2018
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePregnancyConfoundingPopulationPediatricsAntiretroviral therapyCongenital malformationsObstetricsHuman immunodeficiency virus (HIV)Viral loadImmunologyInternal medicineEnvironmental health

Abstract

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More than 1.5 million HIV-infected women become pregnant yearly. An increasing percentage start antiretroviral therapy (ART) prior to pregnancy, resulting in a rapid rise in the number of first-trimester fetal ART exposures [1]. Longer duration of ART in pregnancy decreases risk of Mother to child transmission of HIV [2], but there are also potential teratogenic effects which include congenital malformations, stillbirth, growth restriction, and preterm birth. Therefore, studies evaluating the safety of antiretroviral medications (ARVs) in pregnancy have been designated as a research priority. In this respect, we applaud the by Berard et al. [3] study ‘Antiretroviral combination use during pregnancy and the risk of major congenital abnormalities’ published by Berard et al. (AIDS, vol 31:2267–2277) which observed no increased risk for congenital malformations in infants born to mothers prescribed first-trimester ART. The strengths of the study included the fact that it is population-based and collected many potential confounders. However, there are methodological limitations that compromise its ability to evaluate potential associations between ART and congenital malformations, notably an inappropriate comparison group (all women, regardless of HIV infection status), inappropriate measure of exposure (all ART regimens), and insufficient sample size of ART-exposed (n = 198). Studies of drug safety and efficacy are normally conducted in the study population for which the drug is indicated. However, Berard et al.[3] compare malformations among primarily HIV-infected women exposed to ART (90% of exposed group) to HIV-uninfected women (>99.9% of control group). The authors acknowledge significant imbalances in most background characteristics between the two groups, including several which are important risk factors for congenital malformations (such as comorbidities, coinfections, and substance use). A better comparison would have been to HIV-infected women without first-trimester ART exposure, but the study population included too few of these (n = 169) to make such a comparison stand alone. With low power for detecting associations with either overall or individual ARV exposures when restricting to HIV-infected women, the study provides little additional contribution to prior studies which have included thousands of ARV-exposed women [4,5]. With respect to the exposure measure utilized by Berard et al.[3], one must recognize that ART is not one drug, but typically three drugs prescribed together. Mechanisms of action vary across ARV drug classes and even within a single class, suggesting different biologic activity by individual drugs. Distinguishing the effect of individual ARVs requires careful study design and statistical analysis [6]. Despite the complexity of combination ARVs, the Berard study grouped all ART regimens together when evaluating congenital malformations, which lacks biologic plausibility and could mask a true association with any individual ARV. In addition, there is insufficient power to evaluate malformations individually or by organ system while adjusting for multiple potential confounding covariates – factors that could reasonably lead to both ART use and adverse birth outcomes. The adjustment for 10 covariates (despite <8 exposed cases for most outcomes) resulted in extreme changes between the unadjusted and adjusted relative risks, changing the direction of effect from adverse to protective for ART exposure. As a result of the low number of overall abnormalities among the exposed, risks of individual abnormalities presented in Table 3 of the study by Berard et al. [3] are suspect. In particular, the highlighted finding of increased risk of abnormalities of the small intestine with ART exposure was based on only one ART-exposed case. Given the sample size and rarity of outcome (0.04% of births), this result is more likely due to chance than a true increased risk. One final concern with the methodology used in this analysis is that the overall rate of malformations in the population (8.6%) is among the highest ever reported, more than two to four times higher than large studies from the United States and Canada [7–9]. This is particularly striking because this study excluded minor anomalies, anomalies in stillbirths, births to women taking known teratogens in the first trimester, and chromosomal causes of anomalies. Berard et al.[3] cite the founder effect in the Quebec province, with a small genetic pool, as the likely reason for this high rate of malformations. However, an alternative is that their methodology overestimates malformation rates. Inflated rates often arise from using International Classification of Diseases codes from medical records without expert review of physical exam findings [10], including reported anomalies that are not true abnormalities, or failing to exclude clinically insignificant variants of malformations such as cardiac septal defects which resolve spontaneously without intervention. Due to the concerns noted above, drawing conclusions about the teratogenicity of ART from this study is not possible. Further studies are needed to determine whether newer ARV drugs, or specific ARV combinations, are teratogens. Acknowledgements Conflicts of interest There are no conflicts of interest.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.017
GPT teacher head0.304
Teacher spread0.287 · 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 designObservational
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".

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Citations4
Published2018
Admission routes1
Has abstractyes

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