Health outcomes and resource utilization associated with postsurgical opioid use among cancer patients undergoing curative-intent surgery.
Notice bibliographique
Résumé
6515 Background: To date, it remains unclear whether new persistent post-surgical opioid use is associated with subsequent opioid overdose, higher mortality and greater consumption of healthcare resources among cancer patients. To fill this gap, a population-based cohort study by applying real-world data has been performed to compare the long-term outcomes and healthcare resource use between new persistent and non-persistent opioid users among cancer patients after curative-intent surgery. Methods: This retrospective cohort study included all adult cancer patients with solid tumours who received curative-intent surgery in Alberta between 2011 and 2015, with a follow-up period until December 31, 2019. Patients who had multiple tumors, or had a follow-up < 6 months, or > 30 days of hospitalization were excluded. A new persistent post-surgical opioid user was defined as a patient who was opioid-naïve before surgery (no opioid prescription filled prior to the surgery) and subsequently filled at least one opioid prescription between 60 and 180 days after surgery. The outcomes (opioid overdose and mortality within 3 years) and health resource use (emergency department visits and hospitalization within the first year) after surgery were evaluated by applying multivariable logistic and Cox regressions. Results: A total of 19,219 patients received curative-intent surgery with a median follow-up of 47 months, of which 1,530 (8.0%) were identified as postoperative new persistent opioid users. Compared with the non-persistent group, a higher rate of opioid overdose (OR = 1.81, 95% CI: 1.49-2.2) within 3 years of surgery has been observed for new persistent opioid users, who were also associated with a greater likelihood of being hospitalized (OR = 2.52, 95% CI: 2.21-2.87) and visiting an emergency room (OR = 2.0, 95% CI: 1.78-2.24) within the first year after surgery. A higher overall (HR = 1.37, 95% CI: 1.2-1.57) and non-cancer caused mortality (HR = 1.39, 95% CI: 1.18-1.65) has also been detected for new persistent opioid users during the study follow-up period. Conclusions: For cancer patients undergoing curative-intent surgery, reducing new persistent opioid use is imperative to improve subsequent outcomes and health resource utilization.
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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 | 0,002 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 |
| 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 ».