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dc.contributor.authorFoguet-Boreu, Q
dc.contributor.authorViolán, C
dc.contributor.authorRodriguez-Blanco, T
dc.contributor.authorRoso-Llorach, A
dc.contributor.authorPons-Vigués, M
dc.contributor.authorPujol-Ribera, E
dc.contributor.authorCossio Gil, Y
dc.contributor.authorValderas, JM
dc.date.accessioned2017-01-09T11:15:56Z
dc.date.issued2015-11-02
dc.description.abstractOBJECTIVE: The purpose of this study was to identify clusters of diagnoses in elderly patients with multimorbidity, attended in primary care. DESIGN: Cross-sectional study. SETTING: 251 primary care centres in Catalonia, Spain. PARTICIPANTS: Individuals older than 64 years registered with participating practices. MAIN OUTCOME MEASURES: Multimorbidity, defined as the coexistence of 2 or more ICD-10 disease categories in the electronic health record. Using hierarchical cluster analysis, multimorbidity clusters were identified by sex and age group (65-79 and ≥80 years). RESULTS: 322,328 patients with multimorbidity were included in the analysis (mean age, 75.4 years [Standard deviation, SD: 7.4], 57.4% women; mean of 7.9 diagnoses [SD: 3.9]). For both men and women, the first cluster in both age groups included the same two diagnoses: Hypertensive diseases and Metabolic disorders. The second cluster contained three diagnoses of the musculoskeletal system in the 65- to 79-year-old group, and five diseases coincided in the ≥80 age group: varicose veins of the lower limbs, senile cataract, dorsalgia, functional intestinal disorders and shoulder lesions. The greatest overlap (54.5%) between the three most common diagnoses was observed in women aged 65-79 years. CONCLUSION: This cluster analysis of elderly primary care patients with multimorbidity, revealed a single cluster of circulatory-metabolic diseases that were the most prevalent in both age groups and sex, and a cluster of second-most prevalent diagnoses that included musculoskeletal diseases. Clusters unknown to date have been identified. The clusters identified should be considered when developing clinical guidance for this population.en_GB
dc.description.sponsorshipThis study was supported by a grant from the Ministry of Science and Innovation through the Instituto Carlos III (ISCiii) in the 2012 call for Strategic Health Action proposals under the National Plan for Scientific Research, Development and Technological Innovation 2008–2011; by the European Union through the European Regional Development Fund (IP12/00427), as part of the Primary Care Prevention and Health Promotion Research Network (rediAPP), by ISCiii-RETICS (RD12/0005), by a 2011–2013 scholarship that aims to promote research in Primary Health Care by health professionals who have completed their specialty training, awarded by Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), by a National Institute for Health Research Clinician Scientist Award (Jose M Valderas, NIHR/CS/010/024) and by a grant from the XIX call for research projects in the elderly population by Agrupació Mútua Foundation (Premio ámbito para las personas mayores, 2012). The funders had no role in the study design, collection, analysis and interpretation of data, writing of the manuscript or decision to submit for publication.en_GB
dc.identifier.citationVol. 10, Iss. 11, pp. e0141155 -en_GB
dc.identifier.doi10.1371/journal.pone.0141155
dc.identifier.otherPONE-D-15-23009
dc.identifier.urihttp://hdl.handle.net/10871/25104
dc.language.isoenen_GB
dc.publisherPublic Library of Scienceen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/26524599en_GB
dc.rightsCopyright: © 2015 Foguet-Boreu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are crediteden_GB
dc.subjectAge Factorsen_GB
dc.subjectAgeden_GB
dc.subjectAged, 80 and overen_GB
dc.subjectCardiovascular Diseasesen_GB
dc.subjectCluster Analysisen_GB
dc.subjectComorbidityen_GB
dc.subjectCross-Sectional Studiesen_GB
dc.subjectElectronic Health Recordsen_GB
dc.subjectFemaleen_GB
dc.subjectHumansen_GB
dc.subjectHypertensionen_GB
dc.subjectMaleen_GB
dc.subjectMental Disordersen_GB
dc.subjectMetabolic Diseasesen_GB
dc.subjectMusculoskeletal Diseasesen_GB
dc.subjectPrimary Health Careen_GB
dc.subjectSpainen_GB
dc.titleMultimorbidity Patterns in Elderly Primary Health Care Patients in a South Mediterranean European Region: A Cluster Analysis.en_GB
dc.typeArticleen_GB
dc.date.available2017-01-09T11:15:56Z
exeter.place-of-publicationUnited Statesen_GB
dc.descriptionPublished onlineen_GB
dc.descriptionJournal Articleen_GB
dc.descriptionResearch Support, Non-U.S. Gov'ten_GB
dc.descriptionThis is the final version of the article. Available from Public Library of Science via the DOI in this record.en_GB
dc.identifier.eissn1932-6203
dc.identifier.journalPLoS Oneen_GB


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