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Enregistrement W2624972996 · doi:10.1093/infdis/jix293

High Time to Start Human Immunodeficiency Virus Type 1–Infected Patients on Integrase Inhibitors in Sub-Saharan Africa

2017· letter· en· W2624972996 sur OpenAlexaff
Emmanuel Ndashimye

Notice bibliographique

RevueThe Journal of Infectious Diseases · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueHIV/AIDS drug development and treatment
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésVirologyIntegraseIntegrase inhibitorHuman immunodeficiency virus (HIV)LentivirusMedicineVirusViral diseaseBiologyImmunologyAntiretroviral therapyViral load

Résumé

récupéré en direct d'OpenAlex

Steegen and colleagues reported results from a national survey in South Africa aimed at determining the prevalence of antiretroviral drug resistance in patients who are not responding to protease inhibitor–based treatment [1]. They report at least 1 major mutation in 16.4% of 350 participants with no high-level resistance to darunavir/ritonavir (DRV/r) and low high-level resistance (5.2%) to etravirine (ETR). The number of patients who need second-line therapy are expected to rise from around 300000 in 2013 to 2–4 million by 2030 [2]. The reduction in cost for first-line treatment in Africa has increased antiretroviral therapy (ART) rollout in many countries, with a “test and treat” strategy initiated in some countries such as Uganda. This will inevitably increase the number of people on ART, as well as the frequency of human immunodeficiency virus (HIV) drug resistance. Transmitted drug resistance has been shown to increase as more people are put on ART [3], and this is associated with virological failure. These factors together result in rising drug resistance and, therefore, more first-line failures. Such patients will require second-line therapy, which may be 2.4 times more expensive than first-line therapy [2]. Lopinavir/ritonavir has been commonly used due to its high genetic barrier compared with nonnucleoside reverse transcriptase inhibitors (NNRTIs) and its being able to be used in rifampicin-based tuberculosis treatment. However, because of toxicity and substantial cross-resistance with other protease inhibitors, it is no longer recommended [4]. Because atazanavir/ritonavir is available in a heat-stable, fixed- dose formulation and is less expensive than lopinavir/ritonavir [5], it is now commonly used as a second-line therapy. Stegeen and colleagues highlighted the important observation of no high-level resistance to DRV/r and relatively low frequency resistance to ETR, though intermediate resistance was quite high (32.8%). This is encouraging as many patients failing on second-line therapy will eventually require third-line regimens. The recommended salvage therapy consists of raltegravir, DRV/r, and ETR. But the cost of salvage therapy is quite high. It may be 18 times and 7 times more expensive than first-line and second-line regimens, respectively [5]. Pretreatment drug resistance, which results in numerous drug switches [6], also leads to limited drug options. We have previously reported 18% drug-resistant mutations to ETR and rilpivirine in HIV subtype C–infected patients failing efavirenz- and nevirapine-based first-line therapy recruited in the Europe-Africa Research Network for Evaluation of Second line Therapy study. The striking observation in the study was high drug resistance of 40% to ETR and 51% to rilpivirine due to amino acid substitutions at Y181, H221, K101, and 138 in patients failing efavirenz [7]. Despite no NNRTI exposure at the time of HIV drug resistance testing for 347 participants in the Steegen et al study, 65% had ≥1 NNRTI mutation with K103N being the predominant one. Numerous studies have shown slow clearance of NNRTI-resistant variants in patients after exposure to efavirenz or nevirapine. Two-thirds of patients retain NNRTI mutations after many years on second-line therapy. Therefore, the success of salvage therapy will require the use of even higher genetic barrier drugs to mitigate the emergency of these resistant variants. It has been demonstrated that the majority of patients on salvage therapy can achieve viral suppression, but this comes at a cost of using more potent drugs, which are more expensive and not readily available. Indeed, there have been drug stockouts and patients going on drug holidays, resulting in viral rebound and treatment failure. Therefore, the challenge is sustainability of these patients on such medications. The integrase strand transfer inhibitors (INSTIs), especially dolutegravir with a high genetic barrier, could be used as first-line regimens, as recommended by the World Health Organization [4]. Currently, no patient has developed resistant mutations against dolutegravir when used as first-line therapy [8]. It was superior to raltegravir when used in INSTI-naive patients [9]. Maximizing use of more potent drug options early in treatment before exposing the patient to limited and more expensive options of second and salvage therapy appears to be the most appropriate way of reducing HIV-1 drug resistance in low-income countries. Potential conflicts of interest. Author certifies no potential conflicts of interest. The author has submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,001
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0060,007
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,243
Écart entre enseignants0,232 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2017
Routes d'admission1
Résumé présentnon

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