multimorbidity patterns in the elderly a new approach of disease clustering identifies complex interrelations between chronic conditionsmultimorbidity老年疾病的一种新方法的模式聚类识别慢性病之间复杂的相互关系.pdfVIP
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multimorbidity patterns in the elderly a new approach of disease clustering identifies complex interrelations between chronic conditionsmultimorbidity老年疾病的一种新方法的模式聚类识别慢性病之间复杂的相互关系
Multimorbidity Patterns in the Elderly: A New Approach of Disease Clustering Identifies Complex Interrelations between Chronic Conditions ¨ 1 1 ¨ 2 3 1 Ingmar Schafer *, Eike-Christin von Leitner , Gerhard Schon , Daniela Koller , Heike Hansen , Tina 1 1 2 3 1 Kolonko , Hanna Kaduszkiewicz , Karl Wegscheider , Gerd Glaeske , Hendrik van den Bussche 1 Department of Primary Medical Care, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2 Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 3 Division of Health Economics, Health Policy and Health Services Research, Centre for Social Policy Research, University of Bremen, Bremen, Germany Abstract Objective: Multimorbidity is a common problem in the elderly that is significantly associated with higher mortality, increased disability and functional decline. Information about interactions of chronic diseases can help to facilitate diagnosis, amend prevention and enhance the patients’ quality of life. The aim of this study was to increase the knowledge of specific processes of multimorbidity in an unselected elderly population by identifying patterns of statistically significantly associated comorbidity. Methods: Multimorbidity patterns were identified by exploratory tetrachoric factor analysis based on claims data of 63,104 males and 86,176 females in the age group 65+. Analyses were based on 46 diagnosis groups incorporating all ICD-10 diagnoses of chronic disease
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