Polypharmacy patterns: unravelling systematic associations between prescribed medications.

<h4>Objectives</h4>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.<h4>Methods</h4>A cr...

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Autores principales:	Amaia Calderón-Larrañaga, Luis A Gimeno-Feliu, Francisca González-Rubio, Beatriz Poblador-Plou, María Lairla-San José, José M Abad-Díez, Antonio Poncel-Falcó, Alexandra Prados-Torres
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/052dec228de74a21b4da74b0ce498977
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spelling	oai:doaj.org-article:052dec228de74a21b4da74b0ce4989772021-11-18T08:40:46ZPolypharmacy patterns: unravelling systematic associations between prescribed medications.1932-620310.1371/journal.pone.0084967https://doaj.org/article/052dec228de74a21b4da74b0ce4989772013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24376858/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objectives</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.Amaia Calderón-LarrañagaLuis A Gimeno-FeliuFrancisca González-RubioBeatriz Poblador-PlouMaría Lairla-San JoséJosé M Abad-DíezAntonio Poncel-FalcóAlexandra Prados-TorresPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 12, p e84967 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Amaia Calderón-Larrañaga Luis A Gimeno-Feliu Francisca González-Rubio Beatriz Poblador-Plou María Lairla-San José José M Abad-Díez Antonio Poncel-Falcó Alexandra Prados-Torres Polypharmacy patterns: unravelling systematic associations between prescribed medications.
description	<h4>Objectives</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.
format	article
author	Amaia Calderón-Larrañaga Luis A Gimeno-Feliu Francisca González-Rubio Beatriz Poblador-Plou María Lairla-San José José M Abad-Díez Antonio Poncel-Falcó Alexandra Prados-Torres
author_facet	Amaia Calderón-Larrañaga Luis A Gimeno-Feliu Francisca González-Rubio Beatriz Poblador-Plou María Lairla-San José José M Abad-Díez Antonio Poncel-Falcó Alexandra Prados-Torres
author_sort	Amaia Calderón-Larrañaga
title	Polypharmacy patterns: unravelling systematic associations between prescribed medications.
title_short	Polypharmacy patterns: unravelling systematic associations between prescribed medications.
title_full	Polypharmacy patterns: unravelling systematic associations between prescribed medications.
title_fullStr	Polypharmacy patterns: unravelling systematic associations between prescribed medications.
title_full_unstemmed	Polypharmacy patterns: unravelling systematic associations between prescribed medications.
title_sort	polypharmacy patterns: unravelling systematic associations between prescribed medications.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/052dec228de74a21b4da74b0ce498977
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Polypharmacy patterns: unravelling systematic associations between prescribed medications.

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