AbstractBackground Although the association between multimorbidity and polypharmacy has been clearly documented, no study has analyzed whether or not specific combinations of diseases influence the prescription of polypharmacy in older persons. We assessed which clusters of diseases are associated with polypharmacy in acute-care elderly in-patients. Methods This cross-sectional study was held in 38 Italian internal medicine and geriatric wards participating in the Registro Politerapie SIMI (REPOSI) study during 2008. The study sample included 1155 in-patients aged 65 years or older. Clusters of diseases, defined as two or more co-occurring specific chronic diseases, were identified using the odds ratio (OR) for the associations between pairs of diseases followed by cluster analysis. Polypharmacy was defined as the prescription of five or more different medications at hospital discharge. Logistic regression models were run to analyze the association between clusters of diseases and polypharmacy. Results Among clusters of diseases, the highest mean number of drugs (> 8) was found in patients affected by heart failure (HF) plus chronic obstructive pulmonary disease (COPD), HF plus chronic renal failure (CRF), COPD plus coronary heart disease (CHD), diabetes mellitus plus CRF, and diabetes mellitus plus CHD plus cerebrovascular disease (CVD). The strongest association between clusters of diseases and polypharmacy was found for diabetes mellitus plus CHD plus CVD, diabetes plus CHD, and HF plus atrial fibrillation (AF). Conclusions The observed knowledge of the relationship among co-occurring diseases and polypharmacy should help to identify and monitor older in-patients at risk of polypharmacy.

Association between clusters of diseases and polypharmacy in hospitalized elderly patients : results from the REPOSI study

M. Marcucci;
2011-01-01

Abstract

AbstractBackground Although the association between multimorbidity and polypharmacy has been clearly documented, no study has analyzed whether or not specific combinations of diseases influence the prescription of polypharmacy in older persons. We assessed which clusters of diseases are associated with polypharmacy in acute-care elderly in-patients. Methods This cross-sectional study was held in 38 Italian internal medicine and geriatric wards participating in the Registro Politerapie SIMI (REPOSI) study during 2008. The study sample included 1155 in-patients aged 65 years or older. Clusters of diseases, defined as two or more co-occurring specific chronic diseases, were identified using the odds ratio (OR) for the associations between pairs of diseases followed by cluster analysis. Polypharmacy was defined as the prescription of five or more different medications at hospital discharge. Logistic regression models were run to analyze the association between clusters of diseases and polypharmacy. Results Among clusters of diseases, the highest mean number of drugs (> 8) was found in patients affected by heart failure (HF) plus chronic obstructive pulmonary disease (COPD), HF plus chronic renal failure (CRF), COPD plus coronary heart disease (CHD), diabetes mellitus plus CRF, and diabetes mellitus plus CHD plus cerebrovascular disease (CVD). The strongest association between clusters of diseases and polypharmacy was found for diabetes mellitus plus CHD plus CVD, diabetes plus CHD, and HF plus atrial fibrillation (AF). Conclusions The observed knowledge of the relationship among co-occurring diseases and polypharmacy should help to identify and monitor older in-patients at risk of polypharmacy.
2011
Cluster of diseases
Hospitalized elderly
Polypharmacy
Aged
Aged
80 and over
Cardiovascular Diseases
Cluster Analysis
Comorbidity
Cross-Sectional Studies
Dementia
Diabetes Mellitus
Endocrine System Diseases
Female
Gastrointestinal Diseases
Geriatrics
Hospitalization
Humans
Internal Medicine
Logistic Models
Lung Diseases
Male
Morbidity
Neoplasms
Prevalence
Risk Factors
Polypharmacy
Internal Medicine
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/83485
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