Survival in relation to multimorbidity patterns in older adults in primary care in Barcelona, Spain (2010–2014): a longitudinal study based on electronic health records
BackgroundSeveral studies have analysed the characteristics of multimorbidity patterns but none have evaluated the relationship with survival. The purpose of this study was to compare survival across older adults with different chronic multimorbidity patterns (CMPs).MethodsProspective longitudinal o...
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Veröffentlicht in: | Journal of epidemiology and community health (1979) 2018-03, Vol.72 (3), p.185-192 |
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description | BackgroundSeveral studies have analysed the characteristics of multimorbidity patterns but none have evaluated the relationship with survival. The purpose of this study was to compare survival across older adults with different chronic multimorbidity patterns (CMPs).MethodsProspective longitudinal observational study using electronic health records for 190 108 people aged ≥65 years in Barcelona, Spain (2009–2014). CMPs were identified by cluster analysis. Mortality rates were estimated using the Catalan population structure and individual time at risk. Survival according to CMP (Cox regression) was analysed using hazard ratios (HRs) and 95% confidence intervals (CIs) with stratification by sex and age group (65–79, 80–94) and adjustment for age at onset, deprivation index, number of chronic conditions and invoiced drugs.ResultsThe highest mortality rates were observed in men, adults aged 80–94 years, socially disadvantaged quintiles and people prescribed more drugs and with fewer conditions. Using the musculoskeletal pattern as the reference category, men with the digestive-respiratory pattern had a higher risk of death, with adjusted HRs of 6.16 (95% CI 5.37 to 7.06) in the 65–79 age group and 2.62 (95% CI 2.31 to 2.97) in the 80–94 age group. In women, the cardiovascular pattern was associated with the highest risk, with adjusted HRs of 6.34 (95% CI 5.28 to 7.61) in the 65–79 age group and 3.05 (95% CI 2.73 to 3.41) in the 80–94 age group. These patterns were also associated with the highest mortality rates.ConclusionsMortality and survival vary according to CMPs in older adults stratified by sex and age. Our findings are useful for guiding the design and implementation of clinical management strategies. |
doi_str_mv | 10.1136/jech-2017-209984 |
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The purpose of this study was to compare survival across older adults with different chronic multimorbidity patterns (CMPs).MethodsProspective longitudinal observational study using electronic health records for 190 108 people aged ≥65 years in Barcelona, Spain (2009–2014). CMPs were identified by cluster analysis. Mortality rates were estimated using the Catalan population structure and individual time at risk. Survival according to CMP (Cox regression) was analysed using hazard ratios (HRs) and 95% confidence intervals (CIs) with stratification by sex and age group (65–79, 80–94) and adjustment for age at onset, deprivation index, number of chronic conditions and invoiced drugs.ResultsThe highest mortality rates were observed in men, adults aged 80–94 years, socially disadvantaged quintiles and people prescribed more drugs and with fewer conditions. Using the musculoskeletal pattern as the reference category, men with the digestive-respiratory pattern had a higher risk of death, with adjusted HRs of 6.16 (95% CI 5.37 to 7.06) in the 65–79 age group and 2.62 (95% CI 2.31 to 2.97) in the 80–94 age group. In women, the cardiovascular pattern was associated with the highest risk, with adjusted HRs of 6.34 (95% CI 5.28 to 7.61) in the 65–79 age group and 3.05 (95% CI 2.73 to 3.41) in the 80–94 age group. These patterns were also associated with the highest mortality rates.ConclusionsMortality and survival vary according to CMPs in older adults stratified by sex and age. Our findings are useful for guiding the design and implementation of clinical management strategies.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech-2017-209984</identifier><identifier>PMID: 29330165</identifier><language>eng</language><publisher>England: BMJ</publisher><subject>Age ; Age Factors ; Aged ; Aged, 80 and over ; Ageing and health ; Aging - pathology ; Aging - psychology ; Chronic Disease - epidemiology ; Chronic Disease - mortality ; Chronic illnesses ; Cluster Analysis ; Comorbidity ; Cross-Sectional Studies ; Electronic health records ; Electronic Health Records - statistics & numerical data ; Electronic medical records ; Female ; Health risk assessment ; Health Status Indicators ; Health Surveys ; Humans ; Longitudinal Studies ; Male ; Mortality ; Multimorbidity ; Observational studies ; Older people ; Population structure ; Primary Health Care - organization & administration ; Prospective Studies ; Residence Characteristics ; Respiration ; Sex Factors ; Socioeconomic factors ; Spain - epidemiology ; Survival ; Survival Analysis ; Survival Rate</subject><ispartof>Journal of epidemiology and community health (1979), 2018-03, Vol.72 (3), p.185-192</ispartof><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.</rights><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018</rights><rights>Copyright: 2018 © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b385t-d835b79d5117d0f72faf2a75f20331e6593b517bf7984fe56d14f3cb619b0ae13</citedby><cites>FETCH-LOGICAL-b385t-d835b79d5117d0f72faf2a75f20331e6593b517bf7984fe56d14f3cb619b0ae13</cites><orcidid>0000-0002-9264-0405</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26896161$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26896161$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27924,27925,58017,58250</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29330165$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ibarra-Castillo, Carolina</creatorcontrib><creatorcontrib>Guisado-Clavero, Marina</creatorcontrib><creatorcontrib>Violan-Fors, Concepció</creatorcontrib><creatorcontrib>Pons-Vigués, Mariona</creatorcontrib><creatorcontrib>López-Jiménez, Tomàs</creatorcontrib><creatorcontrib>Roso-Llorach, Albert</creatorcontrib><creatorcontrib>Collaborators</creatorcontrib><creatorcontrib>Collaborators</creatorcontrib><title>Survival in relation to multimorbidity patterns in older adults in primary care in Barcelona, Spain (2010–2014): a longitudinal study based on electronic health records</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>BackgroundSeveral studies have analysed the characteristics of multimorbidity patterns but none have evaluated the relationship with survival. The purpose of this study was to compare survival across older adults with different chronic multimorbidity patterns (CMPs).MethodsProspective longitudinal observational study using electronic health records for 190 108 people aged ≥65 years in Barcelona, Spain (2009–2014). CMPs were identified by cluster analysis. Mortality rates were estimated using the Catalan population structure and individual time at risk. Survival according to CMP (Cox regression) was analysed using hazard ratios (HRs) and 95% confidence intervals (CIs) with stratification by sex and age group (65–79, 80–94) and adjustment for age at onset, deprivation index, number of chronic conditions and invoiced drugs.ResultsThe highest mortality rates were observed in men, adults aged 80–94 years, socially disadvantaged quintiles and people prescribed more drugs and with fewer conditions. Using the musculoskeletal pattern as the reference category, men with the digestive-respiratory pattern had a higher risk of death, with adjusted HRs of 6.16 (95% CI 5.37 to 7.06) in the 65–79 age group and 2.62 (95% CI 2.31 to 2.97) in the 80–94 age group. In women, the cardiovascular pattern was associated with the highest risk, with adjusted HRs of 6.34 (95% CI 5.28 to 7.61) in the 65–79 age group and 3.05 (95% CI 2.73 to 3.41) in the 80–94 age group. These patterns were also associated with the highest mortality rates.ConclusionsMortality and survival vary according to CMPs in older adults stratified by sex and age. Our findings are useful for guiding the design and implementation of clinical management strategies.</description><subject>Age</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Ageing and health</subject><subject>Aging - pathology</subject><subject>Aging - psychology</subject><subject>Chronic Disease - epidemiology</subject><subject>Chronic Disease - mortality</subject><subject>Chronic illnesses</subject><subject>Cluster Analysis</subject><subject>Comorbidity</subject><subject>Cross-Sectional Studies</subject><subject>Electronic health records</subject><subject>Electronic Health Records - statistics & numerical data</subject><subject>Electronic medical records</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Health Status Indicators</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Mortality</subject><subject>Multimorbidity</subject><subject>Observational studies</subject><subject>Older people</subject><subject>Population structure</subject><subject>Primary Health Care - organization & administration</subject><subject>Prospective Studies</subject><subject>Residence Characteristics</subject><subject>Respiration</subject><subject>Sex Factors</subject><subject>Socioeconomic factors</subject><subject>Spain - epidemiology</subject><subject>Survival</subject><subject>Survival Analysis</subject><subject>Survival Rate</subject><issn>0143-005X</issn><issn>1470-2738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFUUuO1DAQtRCIaRr2bECW2AyCgD9xHLNjRvykkVgMSOwsO3ZoR07cYzsj9Y47cAuONSfBIQ1IbNi4qlyvPq8eAA8xeoExbV4OtttVBGFeHiHa-hbY4JqjinDa3gYbhGtaIcS-nIB7KQ2ouJyIu-CECEoRbtgG_Lic47W7Vh66CUbrVXZhgjnAcfbZjSFqZ1w-wL3K2cYpLbDgjY1QmYL4Fe-jG1U8wE5Fu8RnKnbWh0k9h5d7VT5Oy4ro5tv3Yuqnr6CCJfnV5dm4qQxOxTlArZI1sMy23nY5hsl1cGeVz7uyVheiSffBnV75ZB8c7RZ8fvvm0_n76uLjuw_nry8qTVuWK9NSprkwDGNuUM9Jr3qiOOsJohTbhgmqGea65-VgvWWNwXVPO91goZGymG7B6dp3H8PVbFOWo0uFkFeTDXOSWLSC8bZmpECf_AMdwhwLqSQJQqJmlBUJtgCtqC6GlKLt5fFiEiO56CgXHeWio1x1LCWPj41nPVrzp-C3cAXwaAUMKYf4N9-0osHNQuLZmtfj8P9xPwGfqbH7</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>Ibarra-Castillo, Carolina</creator><creator>Guisado-Clavero, Marina</creator><creator>Violan-Fors, Concepció</creator><creator>Pons-Vigués, Mariona</creator><creator>López-Jiménez, Tomàs</creator><creator>Roso-Llorach, Albert</creator><general>BMJ</general><general>BMJ Publishing Group LTD</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9264-0405</orcidid></search><sort><creationdate>201803</creationdate><title>Survival in relation to multimorbidity patterns in older adults in primary care in Barcelona, Spain (2010–2014): a longitudinal study based on electronic health records</title><author>Ibarra-Castillo, Carolina ; Guisado-Clavero, Marina ; Violan-Fors, Concepció ; Pons-Vigués, Mariona ; López-Jiménez, Tomàs ; Roso-Llorach, Albert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b385t-d835b79d5117d0f72faf2a75f20331e6593b517bf7984fe56d14f3cb619b0ae13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Age</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Ageing and health</topic><topic>Aging - pathology</topic><topic>Aging - psychology</topic><topic>Chronic Disease - epidemiology</topic><topic>Chronic Disease - mortality</topic><topic>Chronic illnesses</topic><topic>Cluster Analysis</topic><topic>Comorbidity</topic><topic>Cross-Sectional Studies</topic><topic>Electronic health records</topic><topic>Electronic Health Records - statistics & numerical data</topic><topic>Electronic medical records</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Health Status Indicators</topic><topic>Health Surveys</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Mortality</topic><topic>Multimorbidity</topic><topic>Observational studies</topic><topic>Older people</topic><topic>Population structure</topic><topic>Primary Health Care - organization & administration</topic><topic>Prospective Studies</topic><topic>Residence Characteristics</topic><topic>Respiration</topic><topic>Sex Factors</topic><topic>Socioeconomic factors</topic><topic>Spain - epidemiology</topic><topic>Survival</topic><topic>Survival Analysis</topic><topic>Survival Rate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ibarra-Castillo, Carolina</creatorcontrib><creatorcontrib>Guisado-Clavero, Marina</creatorcontrib><creatorcontrib>Violan-Fors, Concepció</creatorcontrib><creatorcontrib>Pons-Vigués, Mariona</creatorcontrib><creatorcontrib>López-Jiménez, Tomàs</creatorcontrib><creatorcontrib>Roso-Llorach, Albert</creatorcontrib><creatorcontrib>Collaborators</creatorcontrib><creatorcontrib>Collaborators</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of epidemiology and community health (1979)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ibarra-Castillo, Carolina</au><au>Guisado-Clavero, Marina</au><au>Violan-Fors, Concepció</au><au>Pons-Vigués, Mariona</au><au>López-Jiménez, Tomàs</au><au>Roso-Llorach, Albert</au><aucorp>Collaborators</aucorp><aucorp>Collaborators</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Survival in relation to multimorbidity patterns in older adults in primary care in Barcelona, Spain (2010–2014): a longitudinal study based on electronic health records</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2018-03</date><risdate>2018</risdate><volume>72</volume><issue>3</issue><spage>185</spage><epage>192</epage><pages>185-192</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><abstract>BackgroundSeveral studies have analysed the characteristics of multimorbidity patterns but none have evaluated the relationship with survival. The purpose of this study was to compare survival across older adults with different chronic multimorbidity patterns (CMPs).MethodsProspective longitudinal observational study using electronic health records for 190 108 people aged ≥65 years in Barcelona, Spain (2009–2014). CMPs were identified by cluster analysis. Mortality rates were estimated using the Catalan population structure and individual time at risk. Survival according to CMP (Cox regression) was analysed using hazard ratios (HRs) and 95% confidence intervals (CIs) with stratification by sex and age group (65–79, 80–94) and adjustment for age at onset, deprivation index, number of chronic conditions and invoiced drugs.ResultsThe highest mortality rates were observed in men, adults aged 80–94 years, socially disadvantaged quintiles and people prescribed more drugs and with fewer conditions. Using the musculoskeletal pattern as the reference category, men with the digestive-respiratory pattern had a higher risk of death, with adjusted HRs of 6.16 (95% CI 5.37 to 7.06) in the 65–79 age group and 2.62 (95% CI 2.31 to 2.97) in the 80–94 age group. In women, the cardiovascular pattern was associated with the highest risk, with adjusted HRs of 6.34 (95% CI 5.28 to 7.61) in the 65–79 age group and 3.05 (95% CI 2.73 to 3.41) in the 80–94 age group. These patterns were also associated with the highest mortality rates.ConclusionsMortality and survival vary according to CMPs in older adults stratified by sex and age. Our findings are useful for guiding the design and implementation of clinical management strategies.</abstract><cop>England</cop><pub>BMJ</pub><pmid>29330165</pmid><doi>10.1136/jech-2017-209984</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-9264-0405</orcidid></addata></record> |
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subjects | Age Age Factors Aged Aged, 80 and over Ageing and health Aging - pathology Aging - psychology Chronic Disease - epidemiology Chronic Disease - mortality Chronic illnesses Cluster Analysis Comorbidity Cross-Sectional Studies Electronic health records Electronic Health Records - statistics & numerical data Electronic medical records Female Health risk assessment Health Status Indicators Health Surveys Humans Longitudinal Studies Male Mortality Multimorbidity Observational studies Older people Population structure Primary Health Care - organization & administration Prospective Studies Residence Characteristics Respiration Sex Factors Socioeconomic factors Spain - epidemiology Survival Survival Analysis Survival Rate |
title | Survival in relation to multimorbidity patterns in older adults in primary care in Barcelona, Spain (2010–2014): a longitudinal study based on electronic health records |
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