Comorbidity Clusters and Healthcare Use in Individuals With COPD.
Background: Individuals who share the same comorbidity profile are usually similar with regard to their disease severity, use of health care, and clinical outcomes. The identification of comorbidity clusters therefore bears prognostic information. The objective of this study was to identify and char...
| Publicado en: | Respiratory Care Vol. 65; no. 8; pp. 1120 - 1128 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
Aug2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=145118939&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 145118939 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00201324 4GG jtl: Respiratory Care issn: 00201324 maglogo: N pubinfo: dt: Aug2020 vid: 65 iid: 8 pid: 1365 pub: Mary Ann Liebert, Inc. place: New Rochelle, New York artinfo: ui: 145118939 145118939 145118939 10.4187/respcare.07136 145118939 ppf: 1120 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Comorbidity Clusters and Healthcare Use in Individuals With COPD. aug: au: Sklander Hansen, Nanna Ängquist, Lars Lange, Peter Jacobsen, Ramune affil: Department of Public Health, University of Copenhagen, Copenhagen, Denmark sug: subj: Pulmonary Disease, Chronic Obstructive Complications Pulmonary Disease, Chronic Obstructive Prognosis Comorbidity Epidemiology Health Resource Utilization Evaluation Human Denmark Algorithms Cluster Analysis Descriptive Statistics Hypertension Adolescence Adult Middle Age Aged Aged, 80 and Over Hospitalization Length of Stay Heart Diseases Socioeconomic Factors Registries, Disease Male Female Linear Regression Data Analysis Software Hypersensitivity Confidence Intervals Age Factors Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Background: Individuals who share the same comorbidity profile are usually similar with regard to their disease severity, use of health care, and clinical outcomes. The identification of comorbidity clusters therefore bears prognostic information. The objective of this study was to identify and characterize comorbidity clusters in individuals with COPD in Denmark. Methods: Data from the Danish national registers were used. The study population included all individuals ≥16 y old who lived in the Danish Capital Region on January 1, 2012, and were diagnosed with COPD (N = 70,274). Comorbid chronic conditions were identified using diagnostic algorithms. A 2-step cluster analysis was performed. Results: 81% of subjects with COPD had chronic comorbidities; the most common was hypertension (47.6%), and the least common was anxiety (0.1%). Three comorbidity clusters were identified. Cluster 1 contained 16% of the studied individuals with COPD, with all having heart disease in addition to the remaining comorbidities. Cluster 2 contained 30% of the studied individuals with COPD, of whom approximately 1 in 3 suffered from allergies, while the rest had no comorbidities. Cluster 3 contained 54% of the studied individuals with COPD, where all comorbidities but heart disease were represented. Cluster 1 contained the highest proportion of individuals over the age of 65 y, as well as the individuals with the lowest education. After adjusting for sociodemographic characteristics, individuals in Cluster 1 had the highest rates of hospitalizations and bed days. Conclusions: The presence of heart disease in individuals with COPD is a strong prognostic factor for socioeconomic and health vulnerability. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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