Comorbidity patterns in patients with chronic diseases in general practice.

<h4>Introduction</h4>Healthcare management is oriented toward single diseases, yet multimorbidity is nevertheless the rule and there is a tendency for certain diseases to occur in clusters. This study sought to identify comorbidity patterns in patients with chronic diseases, by reference...

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Autores principales:	Luis García-Olmos, Carlos H Salvador, Ángel Alberquilla, David Lora, Montserrat Carmona, Pilar García-Sagredo, Mario Pascual, Adolfo Muñoz, José Luis Monteagudo, Fernando García-López
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a00933f965fa467da03fba6ea01b5449
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spelling	oai:doaj.org-article:a00933f965fa467da03fba6ea01b54492021-11-18T07:27:52ZComorbidity patterns in patients with chronic diseases in general practice.1932-620310.1371/journal.pone.0032141https://doaj.org/article/a00933f965fa467da03fba6ea01b54492012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22359665/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Introduction</h4>Healthcare management is oriented toward single diseases, yet multimorbidity is nevertheless the rule and there is a tendency for certain diseases to occur in clusters. This study sought to identify comorbidity patterns in patients with chronic diseases, by reference to number of comorbidities, age and sex, in a population receiving medical care from 129 general practitioners in Spain, in 2007.<h4>Methods</h4>A cross-sectional study was conducted in a health-area setting of the Madrid Autonomous Region (Comunidad Autónoma), covering a population of 198,670 individuals aged over 14 years. Multiple correspondences were analyzed to identify the clustering patterns of the conditions targeted.<h4>Results</h4>Forty-two percent (95% confidence interval [CI]: 41.8-42.2) of the registered population had at least one chronic condition. In all, 24.5% (95% CI: 24.3-24.6) of the population presented with multimorbidity. In the correspondence analysis, 98.3% of the total information was accounted for by three dimensions. The following four, age- and sex-related comorbidity patterns were identified: pattern B, showing a high comorbidity rate; pattern C, showing a low comorbidity rate; and two patterns, A and D, showing intermediate comorbidity rates.<h4>Conclusions</h4>Four comorbidity patterns could be identified which grouped diseases as follows: one showing diseases with a high comorbidity burden; one showing diseases with a low comorbidity burden; and two showing diseases with an intermediate comorbidity burden.Luis García-OlmosCarlos H SalvadorÁngel AlberquillaDavid LoraMontserrat CarmonaPilar García-SagredoMario PascualAdolfo MuñozJosé Luis MonteagudoFernando García-LópezPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e32141 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Luis García-Olmos Carlos H Salvador Ángel Alberquilla David Lora Montserrat Carmona Pilar García-Sagredo Mario Pascual Adolfo Muñoz José Luis Monteagudo Fernando García-López Comorbidity patterns in patients with chronic diseases in general practice.
description	<h4>Introduction</h4>Healthcare management is oriented toward single diseases, yet multimorbidity is nevertheless the rule and there is a tendency for certain diseases to occur in clusters. This study sought to identify comorbidity patterns in patients with chronic diseases, by reference to number of comorbidities, age and sex, in a population receiving medical care from 129 general practitioners in Spain, in 2007.<h4>Methods</h4>A cross-sectional study was conducted in a health-area setting of the Madrid Autonomous Region (Comunidad Autónoma), covering a population of 198,670 individuals aged over 14 years. Multiple correspondences were analyzed to identify the clustering patterns of the conditions targeted.<h4>Results</h4>Forty-two percent (95% confidence interval [CI]: 41.8-42.2) of the registered population had at least one chronic condition. In all, 24.5% (95% CI: 24.3-24.6) of the population presented with multimorbidity. In the correspondence analysis, 98.3% of the total information was accounted for by three dimensions. The following four, age- and sex-related comorbidity patterns were identified: pattern B, showing a high comorbidity rate; pattern C, showing a low comorbidity rate; and two patterns, A and D, showing intermediate comorbidity rates.<h4>Conclusions</h4>Four comorbidity patterns could be identified which grouped diseases as follows: one showing diseases with a high comorbidity burden; one showing diseases with a low comorbidity burden; and two showing diseases with an intermediate comorbidity burden.
format	article
author	Luis García-Olmos Carlos H Salvador Ángel Alberquilla David Lora Montserrat Carmona Pilar García-Sagredo Mario Pascual Adolfo Muñoz José Luis Monteagudo Fernando García-López
author_facet	Luis García-Olmos Carlos H Salvador Ángel Alberquilla David Lora Montserrat Carmona Pilar García-Sagredo Mario Pascual Adolfo Muñoz José Luis Monteagudo Fernando García-López
author_sort	Luis García-Olmos
title	Comorbidity patterns in patients with chronic diseases in general practice.
title_short	Comorbidity patterns in patients with chronic diseases in general practice.
title_full	Comorbidity patterns in patients with chronic diseases in general practice.
title_fullStr	Comorbidity patterns in patients with chronic diseases in general practice.
title_full_unstemmed	Comorbidity patterns in patients with chronic diseases in general practice.
title_sort	comorbidity patterns in patients with chronic diseases in general practice.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/a00933f965fa467da03fba6ea01b5449
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Comorbidity patterns in patients with chronic diseases in general practice.

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