SELF-REPORTED RATES OF CANNABINOID USE IN PATIENTS WITH END-STAGE OSTEOARTHRITIS
Notice bibliographique
Résumé
Since 2018, cannabis usage rates in Quebec have risen from 14% to 19% following the legalization of cannabinoid use in Canada1. Although multifactorial, it seems the decrease in stigma around cannabinoid use following its recent legalization could explain the increase in usage rates2. Moreover, this decrease in stigma reduces a significant barrier for patients with osteoarthritis (OA) who considered using cannabinoids to manage their symptoms. Studies have shown that cannabinoid use in joint arthroplasty patients had positive analgesic effects and decreased the use of opioids3,4. However, other studies have found that cannabinoids are not effective in managing pain, are associated with negative outcomes, and are correlated with an increase in opioid use in arthroplasty patients5,6. Despite the conflicting evidence in the literature, cannabinoid use likely plays a significant role in patient care. However, it is difficult for healthcare workers to understand that role due to lack of data. The purpose of this study is to 1) document self-reported cannabinoid use among patients with knee and hip OA, and 2) investigate for clinico-demographic factors associated with cannabinoid use in knee and hip OA patients. One hundred and fifty-one patients were recruited. Due to missing data, 3 patients were excluded resulting in 148 participants (59 male, 89 female), including 94 knee OA patients and 54 hip OA patients. Data on age, sex, height, weight, socioeconomic status, tobacco use, alcohol use, and cannabinoid use were collected. The overall cannabinoid usage rate was 16%, with 15% using cannabinoids regularly. More specifically, regular cannabinoid use in patients having at least 7 drinks of alcohol a week was over 37%. In patients 55 years old and above, over 15% tried cannabinoids while 14% use them regularly. Younger age (mean difference of 5.8 years between groups; p=0.016), more pack years (mean difference of 8.4 pack years between groups; p=0.005), over 5 years of tobacco use (odds ratio [OR], 4.2 [95% confidence interval [CI], 1.6–10.9]; p=0.004), over 10 years of tobacco use (OR, 4.1 [95% CI, 1.5–10.8]; p=0.007), over 4 cigarettes consumed per day (OR, 3.1 [95% CI, 1.2–8.1]; p=0.024), and 7 or more alcoholic drinks per week (OR 1≥ : 7≤ dr/wk, 3.6 [95% CI, 1.2–12.2], OR 2-6 : 7≤ dr/wk, 4.8 [95% CI, 1.1–20.5]; p=0.045) were significantly associated with self-report cannabinoid use. Following the legalization of cannabinoids, the overall cannabinoid usage rate of over 16% in knee and hip OA patients resembles that of other US states with recently legalized cannabinoid use. Compared to the general population, older patients have significantly higher cannabinoid usage, suggesting that a large portion of these patients might be exploring cannabinoids as a means to manage their symptoms. These findings emphasize that a considerable proportion of end-stage OA patients use cannabinoids thereby creating the need for healthcare professionals to better understand the implications of its use, the patient outcomes, and the guidelines for cannabinoid use. Further studies are needed to explore the long-term effects of cannabinoid use in managing OA symptoms.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 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 | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».