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Enregistrement W4280636907 · doi:10.1093/ofid/ofac145

Importance of Opioid Agonist Therapy to Reduce Injection-Related Infections

2022· article· en· W4280636907 sur OpenAlexaff
Victoria Weaver, Mary Clare Kennedy

Notice bibliographique

RevueOpen Forum Infectious Diseases · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueOpioid Use Disorder Treatment
Établissements canadiensBritish Columbia Centre on Substance UseUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Organismes subventionnairesNational Institute on Drug Abuse
Mots-clésMedicineAgonistOpioidOpioid epidemicIntensive care medicinePharmacologyInternal medicineReceptor

Résumé

récupéré en direct d'OpenAlex

To the Editor—We read with interest the recent study by Harvey and colleagues describing the effectiveness of the “Six Moments of Infection Prevention in Injection Drug Use” educational toolkit for clinicians to prevent infection in people who inject drugs (PWID) [1]. The toolkit focuses on the importance of new, sterile needles and other injection equipment, as well as cleaning the skin prior to each injection. Training using this toolkit was delivered to 75 providers—56% of whom were medical practitioners or trainees, with administration of pre- and posttraining surveys to assess knowledge, attitudes, and comfort with the harm reduction interventions described. They note that following this training, 86.6% of respondents reported intention to incorporate this model into their own practices. The use of a global approach to infection prevention, modeled on the World Health Organization’s “Five Moments for Hand Hygiene” campaign [2], provides an important framework for infectious disease clinicians to understand widely used harm reduction strategies and identify ways to reduce the risk of injection-related infections. Along with the 6 moments of infection prevention that Harvey and colleagues describe, we would like to suggest that readers also consider initiation of opioid agonist therapy (OAT) as an additional important tool to prevent infections among PWID. OAT—which includes methadone and buprenorphine (either on its own or co-formulated with naloxone) is an evidence-based intervention intended to reduce illicit opioid use, cravings, and death among people with opioid use disorder. Receipt of OAT has been shown to reduce the risk of human immunodeficiency virus (HIV) and hepatitis C virus acquisition [3, 4] and promote HIV viral suppression [5]. Additionally, in-hospital initiation of OAT has been found to reduce the risk of recurrent injection-related skin and soft tissue infections [6] as well as 1-year all-cause rehospitalization following admission for infective endocarditis among people with opioid use disorder [7]. In light of the ongoing overdose crisis in North America, it is also notable that initiation of OAT among people with opioid use disorder hospitalized for endocarditis has been found to reduce risk of subsequent opioid-related overdose [7]. There has been an increased call for the integration of infectious diseases (ID) and addiction medicine services [8], and ID care providers have a unique opportunity to assess for and treat opioid use disorder in patients experiencing injection-related infections. However, in a recent survey of ID providers in the United States, only 18 of 526 respondents who reported treating PWID as part of their clinical practice reported being able to prescribe buprenorphine [9]. As such, we believe that enhanced training and resources to support the expansion of OAT prescribing among ID care providers represents a promising strategy to reduce morbidity and mortality among PWID. Indeed, a recent modeling study estimated that expanded prescribing of OAT in hospital settings alone would reduce hospitalizations by 3.2% among people who inject opioids in the United States [10]. As source control is one of the most important aspects of ID practice, we encourage readers to consider the importance of OAT, in addition to the toolkit provided by Harvey and colleagues, in further reducing injection-related infections and other serious harms among PWID. Author contributions. Report conception: V. K. W. Drafting of the manuscript: V. K. W., M. C. K. Revision of manuscript: V. K. W., M. C. K. Both authors approve the submitted manuscript version and have agreed to be personally accountable for any questions related to accuracy or integrity of any part of the work. Acknowledgments. The authors would like to thank the staff of the International Collaborative Addiction Medicine Research Fellowship at the British Columbia Centre on Substance Use for their administrative and research support. Financial support. This work was supported by the National Institute on Drug Abuse (grant number R25-DA037756 to V. K. W.). Potential conflicts of interest. Both authors: No reported conflicts of interest. Both authors have 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)0,004
score de la tête « metaresearch » (Gemma)0,038
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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,025

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,038
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0040,005
Science ouverte0,0030,001
Intégrité de la recherche0,0120,022
Charge utile insuffisante (le modèle a refusé de juger)0,0070,005

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 Opus0,013
Tête enseignante GPT0,301
Écart entre enseignants0,288 · 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
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

Citations1
Publié2022
Routes d'admission1
Résumé présentoui

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