O4–04–06: Hospitalized Alzheimer's disease or dementia in Canada
Notice bibliographique
Résumé
This study provides an overall picture of the burden of hospitalized Alzheimer's disease or dementia (AD) in Canada. The diagnosis of AD (ICD-10-CA codes G300–301, G308–301, F010–013, F018–019, and F03) were identified from 2007/08 to 2010/11 acute care hospital separations (Hospital Morbidity Database) in all Canadian jurisdictions. In-hospital case fatality and hospital separation rates were calculated. Further, the most common comorbid (secondary) diagnoses were identified for the hospital separations with AD as the most responsible diagnosis (MRDx). The reverse was also examined. When AD was found as a comorbid (secondary) condition, the frequency of the MRDx was also quantified. Over the last four years, the number of hospitalizations with AD as MRDx increased from 12,484 in 2007/08 to 13,789 in 2010/11, the proportion of all hospitalization for each year remained stable (0.4%). There were more females than males (59% vs. 41%) for all four years. In 2010/11, on average, each AD hospitalization has 7.1 comorbid conditions, such as hypertension, diabetes, atrial fibrillation, hypothyroidism, and ischemic heart disease. Moreover, AD contributed to an additional 68,866 (males: 38.6%; females: 61.4%) hospital separations as a comorbid condition. Primarily, they were pneumonia, heart failure, COPD, and stroke. The average length of stay in hospital for AD was 46 days, compared to 7.1 days for hospitalizations for all causes in Canada. Only 20.2% (males: 19.2%; females: 21.0%) of AD patients were discharged home after their hospitalization. The in-hospital case fatality rate was 9.3% (males: 11.5%; females: 7.8%). Nearly half of AD patients (48.5%; males: 47.0%; females: 49.5%) were transferred to a long-term care facility. One fifth of the patients (18.3%) were transferred to home with support services. Although the proportion of AD hospitalization remained stable, the number of AD hospitalizations has increased over the last four years. AD has a high in-hospital case fatality rate, particularly among males. The long hospital stay, multiple comorbid conditions, and high rate of transfer to a long term care facility for AD indicate that it places a significant burden per case on the health care system in Canada.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,002 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».