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Record W4385820709 · doi:10.1097/cxa.0000000000000162

Opioid Overdose and Naloxone Dosing at Insite Supervised Injection Facility in British Columbia: A Retrospective Cohort Study

2022· article· en· W4385820709 on OpenAlexaffvenueabout
Raymond J. Cho, Roy Purssell, Ronald Joe, Yueqiao Elle Wang, Fiona O’Sullivan, Kathleen Lin, Adrianna Rowe, Jessica Moe

Bibliographic record

VenueThe Canadian Journal of Addiction · 2022
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsVancouver Coastal HealthVancouver General HospitalUniversity of British ColumbiaBC Centre for Disease ControlUniversity of TorontoDalhousie University
Fundersnot available
Keywords(+)-NaloxoneInterquartile rangeMedicineDosingRetrospective cohort studyOpioid overdoseFentanylOpioidEmergency medicineCohortDrug overdoseAnesthesiaInternal medicinePoison control

Abstract

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ABSTRACT Objectives: We aimed to understand trends in opioid overdoses, naloxone dosing, and overdose reversal from 2014 to 2017 at Insite, a community-supervised consumption site in Vancouver, British Columbia. Methods: We performed a retrospective cohort study of patients who overdosed on opioids at Insite. We evaluated yearly trends in total overdoses, naloxone doses administered, and proportions of patients reversed (based on our definitions of “probable” and “confirmed” reversal), with particular attention to trends before and after the emergence of illicit fentanyl in 2015. Results: There was an increase in total overdoses at Insite from 2014–2015 (n=586) to 2016–2017 (n=2033). Overdose reversal data were limited by a large proportion of patients for whom there was not enough information to adjudicate whether reversal occurred, and therefore were marked “unspecified” [n=1537/2619 (58.7%)]. Within these limitations, fewer patients were reversed after 2015 (44.1% in 2016, 29.7% in 2017) than before (47.8% in 2014, 55.1% in 2015) (χ2=73.1, P<0.001). Despite this, naloxone doses remained unchanged between 2014–2015 and 2016–2017 {median: 0.4 mg [interquartile range (IQR): 0.4–0.8 mg] for both, P=0.21}. Insite staff administered higher doses to patients not successfully reversed [median: 0.8 mg (IQR: 0.4–0.8 mg)] compared with those reversed [median: 0.4 mg (IQR: 0.4–0.8 mg)] (P=0.021), and to patients offered transfer to hospital [median: 0.8 mg (IQR: 0.4–0.8 mg)] compared with those discharged home [median: 0.4 mg (IQR: 0.4–0.8 mg)] (Kruskal-Wallis H=288.7, P<0.001). Conclusion: Overdose numbers at Insite increased and fewer patients were successfully reversed following the emergence of illicit fentanyl in 2015, but naloxone doses remained unchanged, suggesting that traditional naloxone dosing does not optimally reverse overdoses caused by fentanyl. Our study supports an alternative approach to naloxone dosing in patients with suspected ultrapotent opioid toxicity and in communities with high fentanyl prevalence. Objectifs: Nous avons cherché à comprendre les tendances en matière de surdoses d’opioïdes, de dosage de naloxone et de renversement des effets de surdosage de 2014 à 2017 à Insite, un site communautaire de consommation supervisée à Vancouver, en Colombie-Britannique (C.-B.). Méthodes: Nous avons réalisé une étude de cohorte rétrospective des patients ayant fait une surdose d’opioïdes à Insite. Nous avons évalué les tendances annuelles du total des surdoses, des doses de naloxone administrées et des proportions de patients qui ont renversé les effets de surdosage (selon nos définitions de “probable” et “confirmée”), en accordant une attention particulière aux tendances avant et après l'émergence du fentanyl illicite en 2015. Résultats: Il y a eu une augmentation du nombre total de surdoses à Insite entre 2014-2015 (n=586) et 2016-2017 (n=2033). Les données sur le renversement des effets de surdosage étaient limitées par une grande proportion de patients pour lesquels il n’y avait pas assez d’informations pour juger si le renversement des effets de surdosage avait eu lieu, et ont donc été marquées “ non spécifié “ (n=1537/2619 [58,7%]). Dans le cadre de ces limitations, moins de patients ont été renversé après 2015 (44,1% en 2016, 29,7% en 2017) qu’avant (47,8% en 2014, 55,1% en 2015) (χ2=73,1, P<0,001). Malgré cela, les doses de naloxone sont restées inchangées entre 2014-2015 et 2016-2017 (médiane de 0,4 mg [IQR 0,4-0,8 mg] pour les deux, P=0,21). Le personnel d’Insite a administré des doses plus élevées aux patients dont le renversement n’a pas réussi (médiane de 0,8 mg [IQR 0,4-0,8 mg]) par rapport à ceux dont le renversement a réussi (médiane de 0,4 mg [IQR 0,4-0,8 mg] (P=0. 021), et aux patients à qui l’on a proposé un transfert à l’hôpital (médiane 0,8 mg [IQR 0,4-0,8 mg]) par rapport à ceux qui ont été renvoyés chez eux (médiane 0,4 mg [IQR 0,4-0,8 mg]) (Kruskal-Wallis H=288,7, P<0,001). Conclusion: Le nombre de surdoses à Insite a augmenté et moins de patients ont renversé les effets de surdosage avec succès après l'émergence du fentanyl illicite en 2015, mais les doses de naloxone sont restées inchangées, ce qui suggère que le dosage traditionnel de la naloxone ne renverse pas de manière optimale les surdoses causées par le fentanyl. Notre étude soutient une approche alternative au dosage de la naloxone chez les patients soupçonnés de toxicité aux opioïdes ultrapuissants et dans les communautés à forte prévalence de fentanyl.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.215
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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Citations2
Published2022
Admission routes3
Has abstractyes

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