Hospital Burden of Chronic Obstructive Pulmonary Disease in Hong Kong – The Trend from 2006 to 2014
Notice bibliographique
Résumé
Hok Sum Chan,1 Fanny Wai San Ko,2 Johnny Wai Man Chan,3 Kah Lin Choo,4 Loletta Kit Ying So,5 David Chi Leung Lam,6 Kit Man Sin,7 Wei Yin Wong,8 Yuk Lun Cheng,1 Maureen Mo Lin Wong9 1Department of Medicine, Alice Ho Miu Ling Nethersole Hospital, Hong Kong Special Administrative Region (HKSAR), People’s Republic of China; 2Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region (HKSAR), People’s Republic of China; 3Department of Medicine, Queen Elizabeth Hospital, Hong Kong Special Administrative Region (HKSAR), People’s Republic of China; 4Department of Medicine, North District Hospital, Hong Kong Special Administrative Region (HKSAR), People’s Republic of China; 5Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region (HKSAR), People’s Republic of China; 6Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong Special Administrative Region (HKSAR), People’s Republic of China; 7Department of Medicine and Geriatrics, Tuen Mun Hospital, Hong Kong Special Administrative Region (HKSAR), People’s Republic of China; 8Department of Medicine, Haven of Hope Hospital, Hong Kong Special Administrative Region (HKSAR), People’s Republic of China; 9Department of Medicine and Geriatrics, Caritas Medical Centre, Hong Kong Special Administrative Region (HKSAR), People’s Republic of ChinaCorrespondence: Hok Sum Chan, Department of Medicine, 6/F, Block J, Alice Ho Miu Ling Nethersole Hospital, 11 Chuen On Road, Tai Po, NT, Hong Kong Special Administrative Region (HKSAR), People’s Republic of China, Email chanhs@ha.org.hkBackground: Chronic obstructive pulmonary disease (COPD) is a common cause for hospital admission. This study aims to review the hospital burden of COPD in Hong Kong (HK) and the trend from year 2006 to 2014.Methods: A multi-center, retrospective study of the characteristics of COPD patients discharged from the public hospitals of HK from year 2006 to 2014. Anonymized data retrieval and analysis were performed. The demographic data of the subjects, use of health-care resources, ventilatory support, medications used and mortality of the subjects were analyzed.Results: Total patient headcount (HC) and admission number reduced from 10,425 and 23,362 in year 2006 to 9613 and 19,771, respectively, in 2014. There was a progressive reduction of female COPD HC from 2193 (21%) in year 2006 to 1517 (16%) in 2014. The utilization of non-invasive ventilation (NIV) increased rapidly and peaked in 2010 (29%) and decreased thereafter. There was a rapid increase in the prescription of long-acting bronchodilators (from 15% to 64%). COPD and pneumonia were the top causes of death, but death due to pneumonia was rapidly increasing while death due to COPD was progressively decreasing over the period.Conclusion: COPD HC and admission number (particularly in female patients) decreased progressively from year 2006 to 2014. There was also a decreasing trend of severity of disease as reflected by lower NIV use (after year 2010) and lower mortality rate due to COPD. Reduced smoking prevalence and tuberculosis (TB) notification rate in the community in the past might have reduced the incidence and severity of COPD and the hospital burden of disease. We observed an increasing trend of mortality due to pneumonia in COPD patients. Appropriate and timely vaccination programs are recommended for COPD patients as in the general elderly population.Keywords: hospital burden, mortality, smoking, old tuberculosis, pneumonia
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».