A data-driven medication score predicts 10-year mortality among aging adults
Health differences among the elderly and the role of medical treatments are topical issues in aging societies. We demonstrate the use of modern statistical learning methods to develop a data-driven health measure based on 21 years of pharmacy purchase and mortality data of 12,047 aging individuals....
Gespeichert in:
| Veröffentlicht in: | Scientific reports 2020-09, Vol.10 (1), p.15760-15760, Article 15760 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 15760 |
|---|---|
| container_issue | 1 |
| container_start_page | 15760 |
| container_title | Scientific reports |
| container_volume | 10 |
| creator | Häppölä, Paavo Havulinna, Aki S. Tasa, Tõnis Mars, Nina J. Perola, Markus Kallela, Mikko Milani, Lili Koskinen, Seppo Salomaa, Veikko Neale, Benjamin M. Palotie, Aarno Daly, Mark Ripatti, Samuli |
| description | Health differences among the elderly and the role of medical treatments are topical issues in aging societies. We demonstrate the use of modern statistical learning methods to develop a data-driven health measure based on 21 years of pharmacy purchase and mortality data of 12,047 aging individuals. The resulting score was validated with 33,616 individuals from two fully independent datasets and it is strongly associated with all-cause mortality (HR 1.18 per point increase in score; 95% CI 1.14–1.22; p = 2.25e−16). When combined with Charlson comorbidity index, individuals with elevated medication score and comorbidity index had over six times higher risk (HR 6.30; 95% CI 3.84–10.3; AUC = 0.802) compared to individuals with a protective score profile. Alone, the medication score performs similarly to the Charlson comorbidity index and is associated with polygenic risk for coronary heart disease and type 2 diabetes. |
| doi_str_mv | 10.1038/s41598-020-72045-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7519677</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2446672349</sourcerecordid><originalsourceid>FETCH-LOGICAL-c494t-89e12e7b642ddea700f64d4c9b260511572b4d8c401f192293c18c3ec67d2cf23</originalsourceid><addsrcrecordid>eNp9UU1PwzAMjRAIEPAHOKAeuRQSN22aC9I08SVN4gLnKEvSkaltRpJO2n492QdoXPDBtuznZ8sPoWuC7wgu6vtAScnrHAPOGWBa5usjdL5NoAA4PsjP0FUIc5ysBE4JP0VnBXBWU8zO0WSUaRllrr1dmj7rjLZKRuv6LCjnTbbwm0oMGcH5ykifdc5H2dq4ymTn-lkmZ3bj9dDGcIlOGtkGc7WPF-jj6fF9_JJP3p5fx6NJriinMa-5IWDYtKKgtZEM46aimio-hQqXhJQMplTXimLSEA7AC0VqVRhVMQ2qgeICPex4F8M0XaxMH71sxcLbTvqVcNKKv53efoqZWwpWEl4xlghu9wTefQ0mRNHZoEzbyt64IQigtKoYFJQnKOygyrsQvGl-1xAsNkqInRIiKSG2Soh1Gro5PPB35OfvCVDsACG1-pnxYu4G36en_Uf7DdezlQo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2446672349</pqid></control><display><type>article</type><title>A data-driven medication score predicts 10-year mortality among aging adults</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Springer Nature OA Free Journals</source><source>Nature Free</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Häppölä, Paavo ; Havulinna, Aki S. ; Tasa, Tõnis ; Mars, Nina J. ; Perola, Markus ; Kallela, Mikko ; Milani, Lili ; Koskinen, Seppo ; Salomaa, Veikko ; Neale, Benjamin M. ; Palotie, Aarno ; Daly, Mark ; Ripatti, Samuli</creator><creatorcontrib>Häppölä, Paavo ; Havulinna, Aki S. ; Tasa, Tõnis ; Mars, Nina J. ; Perola, Markus ; Kallela, Mikko ; Milani, Lili ; Koskinen, Seppo ; Salomaa, Veikko ; Neale, Benjamin M. ; Palotie, Aarno ; Daly, Mark ; Ripatti, Samuli</creatorcontrib><description>Health differences among the elderly and the role of medical treatments are topical issues in aging societies. We demonstrate the use of modern statistical learning methods to develop a data-driven health measure based on 21 years of pharmacy purchase and mortality data of 12,047 aging individuals. The resulting score was validated with 33,616 individuals from two fully independent datasets and it is strongly associated with all-cause mortality (HR 1.18 per point increase in score; 95% CI 1.14–1.22; p = 2.25e−16). When combined with Charlson comorbidity index, individuals with elevated medication score and comorbidity index had over six times higher risk (HR 6.30; 95% CI 3.84–10.3; AUC = 0.802) compared to individuals with a protective score profile. Alone, the medication score performs similarly to the Charlson comorbidity index and is associated with polygenic risk for coronary heart disease and type 2 diabetes.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-72045-z</identifier><identifier>PMID: 32978407</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/208/212 ; 639/705/531 ; 692/499 ; 692/700/478 ; Age of Onset ; Aged ; Aging ; Biostatistics - methods ; Comorbidity ; Female ; Genetic Predisposition to Disease ; Humanities and Social Sciences ; Humans ; Longitudinal Studies ; Male ; Middle Aged ; Mortality ; multidisciplinary ; Science ; Science (multidisciplinary) ; Time Factors</subject><ispartof>Scientific reports, 2020-09, Vol.10 (1), p.15760-15760, Article 15760</ispartof><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-89e12e7b642ddea700f64d4c9b260511572b4d8c401f192293c18c3ec67d2cf23</citedby><cites>FETCH-LOGICAL-c494t-89e12e7b642ddea700f64d4c9b260511572b4d8c401f192293c18c3ec67d2cf23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519677/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519677/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32978407$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Häppölä, Paavo</creatorcontrib><creatorcontrib>Havulinna, Aki S.</creatorcontrib><creatorcontrib>Tasa, Tõnis</creatorcontrib><creatorcontrib>Mars, Nina J.</creatorcontrib><creatorcontrib>Perola, Markus</creatorcontrib><creatorcontrib>Kallela, Mikko</creatorcontrib><creatorcontrib>Milani, Lili</creatorcontrib><creatorcontrib>Koskinen, Seppo</creatorcontrib><creatorcontrib>Salomaa, Veikko</creatorcontrib><creatorcontrib>Neale, Benjamin M.</creatorcontrib><creatorcontrib>Palotie, Aarno</creatorcontrib><creatorcontrib>Daly, Mark</creatorcontrib><creatorcontrib>Ripatti, Samuli</creatorcontrib><title>A data-driven medication score predicts 10-year mortality among aging adults</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Health differences among the elderly and the role of medical treatments are topical issues in aging societies. We demonstrate the use of modern statistical learning methods to develop a data-driven health measure based on 21 years of pharmacy purchase and mortality data of 12,047 aging individuals. The resulting score was validated with 33,616 individuals from two fully independent datasets and it is strongly associated with all-cause mortality (HR 1.18 per point increase in score; 95% CI 1.14–1.22; p = 2.25e−16). When combined with Charlson comorbidity index, individuals with elevated medication score and comorbidity index had over six times higher risk (HR 6.30; 95% CI 3.84–10.3; AUC = 0.802) compared to individuals with a protective score profile. Alone, the medication score performs similarly to the Charlson comorbidity index and is associated with polygenic risk for coronary heart disease and type 2 diabetes.</description><subject>631/208/212</subject><subject>639/705/531</subject><subject>692/499</subject><subject>692/700/478</subject><subject>Age of Onset</subject><subject>Aged</subject><subject>Aging</subject><subject>Biostatistics - methods</subject><subject>Comorbidity</subject><subject>Female</subject><subject>Genetic Predisposition to Disease</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>multidisciplinary</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Time Factors</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9UU1PwzAMjRAIEPAHOKAeuRQSN22aC9I08SVN4gLnKEvSkaltRpJO2n492QdoXPDBtuznZ8sPoWuC7wgu6vtAScnrHAPOGWBa5usjdL5NoAA4PsjP0FUIc5ysBE4JP0VnBXBWU8zO0WSUaRllrr1dmj7rjLZKRuv6LCjnTbbwm0oMGcH5ykifdc5H2dq4ymTn-lkmZ3bj9dDGcIlOGtkGc7WPF-jj6fF9_JJP3p5fx6NJriinMa-5IWDYtKKgtZEM46aimio-hQqXhJQMplTXimLSEA7AC0VqVRhVMQ2qgeICPex4F8M0XaxMH71sxcLbTvqVcNKKv53efoqZWwpWEl4xlghu9wTefQ0mRNHZoEzbyt64IQigtKoYFJQnKOygyrsQvGl-1xAsNkqInRIiKSG2Soh1Gro5PPB35OfvCVDsACG1-pnxYu4G36en_Uf7DdezlQo</recordid><startdate>20200925</startdate><enddate>20200925</enddate><creator>Häppölä, Paavo</creator><creator>Havulinna, Aki S.</creator><creator>Tasa, Tõnis</creator><creator>Mars, Nina J.</creator><creator>Perola, Markus</creator><creator>Kallela, Mikko</creator><creator>Milani, Lili</creator><creator>Koskinen, Seppo</creator><creator>Salomaa, Veikko</creator><creator>Neale, Benjamin M.</creator><creator>Palotie, Aarno</creator><creator>Daly, Mark</creator><creator>Ripatti, Samuli</creator><general>Nature Publishing Group UK</general><scope>C6C</scope><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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200925</creationdate><title>A data-driven medication score predicts 10-year mortality among aging adults</title><author>Häppölä, Paavo ; Havulinna, Aki S. ; Tasa, Tõnis ; Mars, Nina J. ; Perola, Markus ; Kallela, Mikko ; Milani, Lili ; Koskinen, Seppo ; Salomaa, Veikko ; Neale, Benjamin M. ; Palotie, Aarno ; Daly, Mark ; Ripatti, Samuli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c494t-89e12e7b642ddea700f64d4c9b260511572b4d8c401f192293c18c3ec67d2cf23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>631/208/212</topic><topic>639/705/531</topic><topic>692/499</topic><topic>692/700/478</topic><topic>Age of Onset</topic><topic>Aged</topic><topic>Aging</topic><topic>Biostatistics - methods</topic><topic>Comorbidity</topic><topic>Female</topic><topic>Genetic Predisposition to Disease</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>multidisciplinary</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Häppölä, Paavo</creatorcontrib><creatorcontrib>Havulinna, Aki S.</creatorcontrib><creatorcontrib>Tasa, Tõnis</creatorcontrib><creatorcontrib>Mars, Nina J.</creatorcontrib><creatorcontrib>Perola, Markus</creatorcontrib><creatorcontrib>Kallela, Mikko</creatorcontrib><creatorcontrib>Milani, Lili</creatorcontrib><creatorcontrib>Koskinen, Seppo</creatorcontrib><creatorcontrib>Salomaa, Veikko</creatorcontrib><creatorcontrib>Neale, Benjamin M.</creatorcontrib><creatorcontrib>Palotie, Aarno</creatorcontrib><creatorcontrib>Daly, Mark</creatorcontrib><creatorcontrib>Ripatti, Samuli</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Häppölä, Paavo</au><au>Havulinna, Aki S.</au><au>Tasa, Tõnis</au><au>Mars, Nina J.</au><au>Perola, Markus</au><au>Kallela, Mikko</au><au>Milani, Lili</au><au>Koskinen, Seppo</au><au>Salomaa, Veikko</au><au>Neale, Benjamin M.</au><au>Palotie, Aarno</au><au>Daly, Mark</au><au>Ripatti, Samuli</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A data-driven medication score predicts 10-year mortality among aging adults</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2020-09-25</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>15760</spage><epage>15760</epage><pages>15760-15760</pages><artnum>15760</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Health differences among the elderly and the role of medical treatments are topical issues in aging societies. We demonstrate the use of modern statistical learning methods to develop a data-driven health measure based on 21 years of pharmacy purchase and mortality data of 12,047 aging individuals. The resulting score was validated with 33,616 individuals from two fully independent datasets and it is strongly associated with all-cause mortality (HR 1.18 per point increase in score; 95% CI 1.14–1.22; p = 2.25e−16). When combined with Charlson comorbidity index, individuals with elevated medication score and comorbidity index had over six times higher risk (HR 6.30; 95% CI 3.84–10.3; AUC = 0.802) compared to individuals with a protective score profile. Alone, the medication score performs similarly to the Charlson comorbidity index and is associated with polygenic risk for coronary heart disease and type 2 diabetes.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32978407</pmid><doi>10.1038/s41598-020-72045-z</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2045-2322 |
| ispartof | Scientific reports, 2020-09, Vol.10 (1), p.15760-15760, Article 15760 |
| issn | 2045-2322 2045-2322 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7519677 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Springer Nature OA Free Journals; Nature Free; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | 631/208/212 639/705/531 692/499 692/700/478 Age of Onset Aged Aging Biostatistics - methods Comorbidity Female Genetic Predisposition to Disease Humanities and Social Sciences Humans Longitudinal Studies Male Middle Aged Mortality multidisciplinary Science Science (multidisciplinary) Time Factors |
| title | A data-driven medication score predicts 10-year mortality among aging adults |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T15%3A31%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20data-driven%20medication%20score%20predicts%2010-year%20mortality%20among%20aging%20adults&rft.jtitle=Scientific%20reports&rft.au=H%C3%A4pp%C3%B6l%C3%A4,%20Paavo&rft.date=2020-09-25&rft.volume=10&rft.issue=1&rft.spage=15760&rft.epage=15760&rft.pages=15760-15760&rft.artnum=15760&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-020-72045-z&rft_dat=%3Cproquest_pubme%3E2446672349%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2446672349&rft_id=info:pmid/32978407&rfr_iscdi=true |