Polypharmacy Patterns: Unravelling Systematic Associations between Prescribed Medications
Calderón-Larrañaga, A. ; Gimeno-Feliu, L. (Universidad de Zaragoza) ; González-Rubio, F. ; Poblador-Plou, B. ; Lairla-San José, M. ; Abad-Díez, J.M. (Universidad de Zaragoza) ; Poncel-Falcó, A. ; Prados-Torres, A.
Resumen: Objectives: The aim of this study was to demonstrate the existence of systematic associations in drug prescription that lead to the establishment of patterns of polypharmacy, and the clinical interpretation of the associations found in each pattern.
Methods: A cross-sectional study was conducted based on information obtained from electronic medical records and the primary care pharmacy database in 2008. An exploratory factor analysis of drug dispensing information regarding 79,089 adult patients was performed to identify the patterns of polypharmacy. The analysis was stratified by age and sex.
Results: Seven patterns of polypharmacy were identified, which may be classified depending on the type of disease they are intended to treat: cardiovascular, depression-anxiety, acute respiratory infection (ARI), chronic obstructive pulmonary disease (COPD), rhinitis-asthma, pain, and menopause. Some of these patterns revealed a clear clinical consistency and included drugs that are prescribed together for the same clinical indication (i.e., ARI and COPD patterns). Other patterns were more complex but also clinically consistent: in the cardiovascular pattern, drugs for the treatment of known risk factors—such as hypertension or dyslipidemia—were combined with other medications for the treatment of diabetes or established cardiovascular pathology (e.g., antiplatelet agents). Almost all of the patterns included drugs for preventing or treating potential side effects of other drugs in the same pattern.
Conclusions: The present study demonstrated the existence of non-random associations in drug prescription, resulting in patterns of polypharmacy that are sound from the pharmacological and clinical viewpoints and that exist in a significant proportion of the population. This finding necessitates future longitudinal studies to confirm some of the proposed causal associations. The information discovered would further the development and/or adaptation of clinical patient guidelines to patients with multimorbidity who are taking multiple drugs.
Idioma: Inglés
DOI: 10.1371/journal.pone.0084967
Año: 2013
Publicado en: PloS one 8, 12 (2013), e84967 [10 pp]
ISSN: 1932-6203
Factor impacto JCR: 3.534 (2013)
Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 8 / 56 = 0.143 (2013) - Q1 - T1
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/FIS/PI11-01126
Tipo y forma: Article (Published version)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)
Área (Departamento): Área Medic.Prevent.Salud Públ. (Dpto. Microb.Med.Pr.,Sal.Públ.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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Methods: A cross-sectional study was conducted based on information obtained from electronic medical records and the primary care pharmacy database in 2008. An exploratory factor analysis of drug dispensing information regarding 79,089 adult patients was performed to identify the patterns of polypharmacy. The analysis was stratified by age and sex.
Results: Seven patterns of polypharmacy were identified, which may be classified depending on the type of disease they are intended to treat: cardiovascular, depression-anxiety, acute respiratory infection (ARI), chronic obstructive pulmonary disease (COPD), rhinitis-asthma, pain, and menopause. Some of these patterns revealed a clear clinical consistency and included drugs that are prescribed together for the same clinical indication (i.e., ARI and COPD patterns). Other patterns were more complex but also clinically consistent: in the cardiovascular pattern, drugs for the treatment of known risk factors—such as hypertension or dyslipidemia—were combined with other medications for the treatment of diabetes or established cardiovascular pathology (e.g., antiplatelet agents). Almost all of the patterns included drugs for preventing or treating potential side effects of other drugs in the same pattern.
Conclusions: The present study demonstrated the existence of non-random associations in drug prescription, resulting in patterns of polypharmacy that are sound from the pharmacological and clinical viewpoints and that exist in a significant proportion of the population. This finding necessitates future longitudinal studies to confirm some of the proposed causal associations. The information discovered would further the development and/or adaptation of clinical patient guidelines to patients with multimorbidity who are taking multiple drugs.
Idioma: Inglés
DOI: 10.1371/journal.pone.0084967
Año: 2013
Publicado en: PloS one 8, 12 (2013), e84967 [10 pp]
ISSN: 1932-6203
Factor impacto JCR: 3.534 (2013)
Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 8 / 56 = 0.143 (2013) - Q1 - T1
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/FIS/PI11-01126
Tipo y forma: Article (Published version)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)
Área (Departamento): Área Medic.Prevent.Salud Públ. (Dpto. Microb.Med.Pr.,Sal.Públ.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Exportado de SIDERAL (2019-11-05-11:50:03)
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Articles > Artículos por área > Medicina Preventiva y Salud Pública
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Record created 2017-11-28, last modified 2019-11-05