MétaCan
Menu
Retour à la cohorte
Enregistrement W2032217650 · doi:10.1002/hep.26539

Treatment as prevention: The breaking of taboos is required in the fight against hepatitis C among people who inject drugs

2013· letter· en· W2032217650 sur OpenAlexaboutno aff
Philip Bruggmann

Notice bibliographique

RevueHepatology · 2013
Typeletter
Langueen
DomaineMedicine
ThématiqueHepatitis C virus research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineHepatologyHepatitis CTreatment as preventionPopulationPublic healthPegylated interferonIncidence (geometry)Human immunodeficiency virus (HIV)HepatitisHepatitis C virusInternal medicineIntensive care medicineEnvironmental healthVirologyVirusRibavirinViral loadAntiretroviral therapyPathology

Résumé

récupéré en direct d'OpenAlex

High prevalence and incidence rates contrast starkly with low detection and treatment uptake rates and that makes the hepatitis C epidemic among people who inject drugs (PWID) a serious public health issue. In expectance of new interferon (IFN)-free hepatitis C treatment regimens, Martin et al. present, in this issue of Hepatology, mathematical model calculations on an approach that is already well documented in the field of human immunodeficiency virus (HIV): treatment as prevention.1 Because future treatment regimens will be much better tolerated and even more efficient than current IFN-based dual or triple therapies, they have the potential of being widely used to treat PWID. Taking this into account, the model described in this study suggests that scaling up treatment uptake rates for people who inject drugs with the new direct-acting antivirals (DAAs) has the potential to, over time, significantly reduce the prevalence of chronic hepatitis C in this, so far, heavily underserved population. However, to increase treatment uptake rates in this major at-risk group requires drastic changes on several levels as well as the breaking of some taboos. Martin et al. calculated the necessary scale-up rates among PWID to half the prevalence of hepatitis C virus (HCV) infections within the next 15 years.1 Their mathematical model has been applied to a variety of settings and takes into account different levels of baseline prevalence and treatment uptake as well as the varying levels of primary prevention measures, such as the provision of sterile injection equipment and opioid substitution therapy. In settings with a high baseline chronic prevalence, such as in Melbourne, Australia (50%) and Vancouver, Canada (65%), the use of future DAAs over the next 15 years would, at the current treatment rates, only have a very low effect on prevalence (less than 2%). A 13- to 15-fold increase of treatment uptake would be needed to half the prevalence in these settings. With a chronic baseline prevalence of 25%, such as in Edinburgh, Scotland, a mere 3-fold increase in treatment provision could reduce chronic HCV prevalence to less than 7%. As discussed by the researchers, various programs have proven that such annual numbers of treatment uptake rates are, in fact, feasible. However, from a more global point of view, such programs remain isolated examples of best practice in their respective regions and have, so far, had no relevant effect on the epidemic. Many Western countries show similar hepatitis C prevalence levels to the ones in Melbourne and Vancouver,2 with similarly low levels of treatment uptake rates, but with reasonably high coverage of primary prevention measures. To achieve nationwide treatment uptake rates among PWID that relevantly affect prevalence, groundbreaking changes in the currently inefficient HCV care system for this vulnerable population are urgently needed. First, and easiest to achieve: treating patients irrespective of their liver fibrosis stage, which is, in effect, treatment as primary prevention. Today, in many countries, fibrosis stage of at least F2 is a prerequisite to obtain antiviral treatment. Second, a paradigm shift concerning reinfection must be made: Risk of reinfection is one of the most mentioned reasons why PWID are not treated. Looking closely at the model of Martin et al., risk of reinfection actually becomes an indication for treatment because people at risk of reinfection are also the most likely to further spread the virus. From a public health perspective, treating those at high risk of reinfection should be a priority and, if indicated, they should be treated repeatedly. Similar model calculations for dual-combination therapies with pegylated IFN and ribavirin have shown that this is a cost-effective approach and, in many settings, even more cost-effective than treating patients without intravenous drug use.3 Third, a relevant scale-up of treatment among PWID is impossible without massively reducing the barriers to hepatitis care. Low awareness, as well as low hepatitis and addiction literacy, among healthcare professionals and discrimination and stigmatization of drug users are all major barriers for PWID to access HCV care.4 Many of those barriers are a result of the criminalization of drug use,5 one of the taboos that need to be broken. The global war on drugs of today is hindering effective public health measures for PWID and therefore fueling the HCV and HIV epidemic in this population. Decriminalizing drug use would therefore be an important step toward eliminating hepatitis C (Fig. 1). As discussed by Martin et al.,1 another taboo that has to be looked at is the highly limited access to HCV standards of care all over the world resulting from financial restrictions. The cost of today's standard-of-care HCV treatment is prohibitively expensive for middle- and low-income countries. Even in Western European countries, access to triple therapies is restricted because of the exorbitant cost of the medication. Prescriptions of IFN-free HCV treatment regimens at similarly high prices will inevitably be restricted by health authorities. High tolerability of those regimens will bring the potential of high applicability. But, their short- to medium-term extortionate cost will exceed even the healthcare budgets of rich countries. Offering hepatitis C treatment at affordable prices is crucial in the fight of the global hepatitis C crisis. If IFN-free treatment regimens were to be made available at reasonable prices (i.e. only at only a fraction of today's cost), the number of patients eligible for treatment would rise accordingly. Millions of HCV patients in low- and middle-income countries could receive adequate treatment. Though it makes no difference to the pharmaceutical companies whether they get their money from a limited number of treatments at a very high cost or whether they make their profit from a much wider use globally at affordable prices, for the global burden of the disease, this could make all the difference. If pharmaceutical companies do not take decisive steps to offer their medication at affordable prices, governments all over the world will face an HCV-induced public health emergency and will be permitted by the World Trade Organization Agreement on “Trade Related Aspects of Intellectual Property Rights” to use patent flexibilities. These flexibilities include the issue of compulsory licenses for the import or production of cheaper, generic versions of these urgently needed drugs, despite them still being under patent. This has already been successfully done to improve global access to HIV medication.5 The excitement about the new, highly efficient, and well-tolerated treatment will reduce some of the current barriers to hepatitis C care. Testing rates and hepatitis C awareness will increase with the arrival and promotion of the new medication. But, to achieve the required treatment uptake rates to have any relevant effect on prevalence, as calculated by Martin et al.,1 drastic actions, coordinated by comprehensive national and regional plans, are now needed in the fight against hepatitis C. The author thanks his coworker, Erika Jüsi, for copyediting the manuscript. Philip Bruggmann, M.D. Arud Centres for Addiction Medicine Zürich, Switzerland

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,268
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,031
Tête enseignante GPT0,322
Écart entre enseignants0,291 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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

En bref

Citations20
Publié2013
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueHepatologyMême sujetHepatitis C virus researchTravaux en français237 207