Eradication of Hepatitis C Infection: The Importance of Targeting People Who Inject Drugs
Notice bibliographique
Résumé
Hepatitis C virus (HCV) affects ∼170 million people worldwide and causes significant morbidity and mortality.1 In high-income countries, people who inject drugs (PWID) are at greatest risk of HCV infection.2 Until recently HCV eradication seemed unlikely, but recent advances in HCV treatment and improved understanding of the effectiveness of harm-reduction intervention effectiveness give reason for optimism. Current HCV treatments can cure ∼75% of patients and new drugs will further improve effectiveness (over 90% cure) and improve tolerability.3 If HCV treatment can be delivered effectively to those at highest risk of onward transmission, significant reductions in future HCV cases are possible. The feasibility of disease eradication must be assessed on both scientific criteria (e.g., epidemiological susceptibility, effective and practical intervention available, and demonstrated feasibility of elimination) and political criteria (e.g., burden of disease, cost of intervention).4 With effective, curative treatment now available, HCV meets these criteria. To achieve eradication, public health efforts must focus on PWID, the key drivers of HCV transmission. A sustained, multipronged approach could substantially reduce HCV infection in PWID over the next 10-20 years through a focus on HCV treatment as prevention, meaning improved access to more effective and well-tolerated HCV treatment. Other major elements include increasing coverage of opiate substitution therapy (OST), needle and syringe programs (NSPs), and regular HCV screening and counseling. PWID are highly marginalized, so effective engagement and inclusion in strategy development are critical to HCV eradication. To date, health services have been unsuccessful in channeling PWID into HCV treatment, despite evidence of willingness to be treated5 and treatment success.6 For the past decade HCV treatment has mostly involved pegylated interferon and ribavirin (PEG/RBV); however, trials of direct-acting antivirals (DAAs) show increased rates of cure, improved tolerability, and reduced duration of treatment.3, 7, 8 The first NS3 protease inhibitors, boceprevir and telaprevir, used in combination with PEG/RBV, have already improved outcomes, with up to 75% of patients chronically infected with HCV genotype-1 being cured.3 Emerging therapies that include next-generation NS3 protease inhibitors, NS5A inhibitors, and NS5B polymerase inhibitors show great promise.7, 8 An interferon-free 12-week DAA regimen with single daily dosing and over 90% cure is a real possibility.3 Highly effective and tolerable HCV therapies will make treatment as prevention feasible. This strategy will require targeting PWID, few of whom undergo HCV treatment despite increasing evidence of success.6 The rarity of PWID undergoing treatment relates to concerns about interferon toxicity and RBV teratogenicity and unsubstantiated concerns about PWID compliance and high reinfection rates. Apart from managing adverse side effects, we know little about interventions that improve HCV treatment compliance.9 However, increasing evidence shows that PWID are compliant when treated with PEG/RBV,10 and compliance can only rise with improved treatment tolerability. Similarly, most evidence suggests HCV reinfection following treatment remains low.11 Models developed by Martin et al.12 suggest that treating a relatively small proportion of PWID could significantly reduce HCV prevalence over 15 years, with the impact varying depending on the number treated, the background HCV prevalence, treatment efficacy, and the speed of treatment scale-up (Fig. 1). Estimated HCV prevalence halved when treatment was scaled up to 15, 40, or 76 per 1,000 PWID annually in Edinburgh (Scotland), Melbourne (Australia), and Vancouver (Canada), respectively, using DAAs. Current estimated HCV prevalence in PWID in those three jurisdictions is 25%, 50%, and 65%, respectively. Recent modeling of PWID in Vietnam also revealed treatment impact on HCV prevalence.13 Prevention of HCV transmission is critically important for HCV eradication. Harm-reduction strategies for PWID, notably OST and NSPs, have been partially effective in reducing HCV transmission in PWID,14 although poor coverage has limited their impact.15 A recent study estimated that NSPs directly averted 97,000 (∼50%) new HCV infections in Australia during 2000-2009.14 Modeling by Vickerman et al.16 suggests that, in a setting where HCV prevalence is 40%, scaling OST/NSP coverage up from 0% to 20%, 40%, and 60% can reduce HCV prevalence over 10 years by 13%, 24%, and 33%, respectively. However, further increments in coverage produce only marginal improvements,16 suggesting that complementary strategies are required to substantially reduce HCV prevalence. PWID are highly marginalized and few receive HCV treatment despite increasing evidence that treatment works.6 Effective engagement with PWID is critical to HCV eradication. Integrated multidisciplinary approaches that include clinicians, nurses and other support services, located in community-based settings or OST clinics, can increase HCV assessment and treatment.17 Infrastructure, workforce capacity and education programs focused on PWIDs' needs are needed for timely and effective strategy implementation; currently, many primary care clinicians and health service staff know little about HCV assessment and care.18 Current HCV treatment is expensive and the cost of scale-up with more expensive therapies will be considerable. Visconti et al.'s19 modeling found that treating both current and former PWID for HCV using standard PEG/RBV was cost-effective. Martin et al.'s20 model included the broader public health benefit of reducing HCV prevalence, and showed antiviral treatment for PWID saved £521 and £2,539 per quality-adjusted life year (QALY) when baseline HCV prevalence was 20% and 40%, respectively, compared with no treatment, well below generally accepted thresholds for cost-effective interventions. Despite the cost-effectiveness of treating PWID, the actual costs of HCV treatment, particularly DAAs, will challenge governments in both developed and resource-limited settings; nonetheless, the models suggest standard HCV therapy still has considerable benefits. Most models assume homogeneous mixing of PWID with all other PWID in the population; few consider the impact of PWIDs' social and injecting networks on HCV transmission or clearance. A recent HCV PWID network model derived from empirical data indicated that injecting networks substantially impact transmission.21 Further modeling suggested that treating PWIDs and their immediate contacts simultaneously (as opposed to ad hoc treatment) reduces the overall number of PWID needing treatment, reducing long-term HCV prevalence and treatment costs. Candidate vaccines designed to prevent initial infection, reduce viral persistence in acute infection, or lead to sustained virological response (SVR) in chronic infection are in phase 2 and 3 trials.22 However, experience with the highly effective hepatitis B vaccine suggests uptake among PWID may be low.23 Hence, an HCV vaccine will be just one component of an HCV eradication strategy. In conclusion, eradicating HCV in PWID is ambitious but, based on the criteria for assessing disease eradicability,4 achievable (Table 1). Treatment costs will be substantial and recruiting sufficient PWID to treatment programs challenging. However, scale-up of HCV diagnosis and treatment with new highly efficacious and tolerable drugs, plus effective and relatively inexpensive harm reduction and prevention approaches, will considerably reduce HCV prevalence. Eradicating HCV needs a sustained, focused and multipronged approach; the time to start is now. Author Roles: M.H. wrote the first draft of the article. All authors reviewed and edited the primary and subsequent revised versions of the article. Margaret Hellard1-3 Joseph S. Doyle1-4 Rachel Sacks-Davis1,3 Alexander J. Thompson4,5 Emma McBryde1,4 1Centre for Population Health, Burnet Institute, Melbourne, Victoria, Australia 2Infectious Diseases Unit, The Alfred Hospital, Melbourne, Victoria, Australia 3Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia 4Victorian Infectious Disease Service, Royal Melbourne Hospital, Parkville, Victoria, Australia 5Department of Gastroenterology, St Vincent's Hospital, Melbourne, Victoria, Australia
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».