000063307 001__ 63307
000063307 005__ 20171129112117.0
000063307 0247_ $$2doi$$a10.1371/journal.pone.0084967
000063307 0248_ $$2sideral$$a85047
000063307 037__ $$aART-2013-85047
000063307 041__ $$aeng
000063307 100__ $$aCalderón-Larrañaga, A.
000063307 245__ $$aPolypharmacy Patterns: Unravelling Systematic Associations between Prescribed Medications
000063307 260__ $$c2013
000063307 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063307 5203_ $$aObjectives: 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.
000063307 536__ $$9info:eu-repo/grantAgreement/ES/ISCIII/FIS/PI11-01126
000063307 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000063307 590__ $$a3.534$$b2013
000063307 591__ $$aMULTIDISCIPLINARY SCIENCES$$b8 / 56 = 0.143$$c2013$$dQ1$$eT1
000063307 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000063307 700__ $$aGimeno-Feliu, L.
000063307 700__ $$aGonzález-Rubio, F.
000063307 700__ $$aPoblador-Plou, B.
000063307 700__ $$aLairla-San José, M.
000063307 700__ $$0(orcid)0000-0001-9466-3902$$aAbad-Díez, J.M.$$uUniversidad de Zaragoza
000063307 700__ $$aPoncel-Falcó, A.
000063307 700__ $$aPrados-Torres, A.
000063307 7102_ $$11008$$2615$$aUniversidad de Zaragoza$$bDepartamento de Microbiología, Medicina Preventiva y Salud Pública$$cMedicina Preventiva y Salud Pública
000063307 773__ $$g8, 12 (2013), e84967 [10 pp]$$pPLoS One$$tPLoS One$$x1932-6203
000063307 8564_ $$s211749$$uhttps://zaguan.unizar.es/record/63307/files/texto_completo.pdf$$yVersión publicada
000063307 8564_ $$s136990$$uhttps://zaguan.unizar.es/record/63307/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000063307 909CO $$ooai:zaguan.unizar.es:63307$$particulos$$pdriver
000063307 951__ $$a2017-11-28-12:46:22
000063307 980__ $$aARTICLE