Rising prevalence of vascular comorbidities in multiple sclerosis: validation of administrative definitions for diabetes, hypertension, and hyperlipidemia
Background: Despite the importance of comorbidity in multiple sclerosis (MS), methods for comorbidity assessment in MS are poorly developed. Objective: We validated and applied administrative case definitions for diabetes, hypertension, and hyperlipidemia in MS. Methods: Using provincial administrat...
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| Veröffentlicht in: | Multiple sclerosis 2012-09, Vol.18 (9), p.1310-1319 |
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| container_title | Multiple sclerosis |
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| creator | Marrie, Ruth Ann Yu, Bo Nancy Leung, Stella Elliott, Lawrence Caetano, Patricia Warren, Sharon Wolfson, Christina Patten, Scott B Svenson, Lawrence W Tremlett, Helen Fisk, John Blanchard, James F |
| description | Background:
Despite the importance of comorbidity in multiple sclerosis (MS), methods for comorbidity assessment in MS are poorly developed.
Objective:
We validated and applied administrative case definitions for diabetes, hypertension, and hyperlipidemia in MS.
Methods:
Using provincial administrative data we identified persons with MS and a matched general population cohort. Case definitions for diabetes, hypertension, and hyperlipidemia were derived using hospital, physician, and prescription claims, and validated in 430 persons with MS. We examined temporal trends in the age-adjusted prevalence of these conditions from 1984–2006.
Results:
Agreement between various case definitions and medical records ranged from kappa (κ) =0.51–0.69 for diabetes, κ =0.21–0.71 for hyperlipidemia, and κ =0.52–0.75 for hypertension. The 2005 age-adjusted prevalence of diabetes was similar in the MS (7.62%) and general populations (8.31%; prevalence ratio [PR] 0.91; 0.81–1.03). The age-adjusted prevalence did not differ for hypertension (MS: 20.8% versus general: 22.5% [PR 0.91; 0.78–1.06]), or hyperlipidemia (MS: 13.8% versus general: 15.2% [PR 0.90; 0.67–1.22]). The prevalence of all conditions rose in both populations over the study period.
Conclusion:
Administrative data are a valid means of tracking diabetes, hypertension, and hyperlipidemia in MS. The prevalence of these comorbidities is similar in the MS and general populations. |
| doi_str_mv | 10.1177/1352458512437814 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1115063995</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1352458512437814</sage_id><sourcerecordid>1115063995</sourcerecordid><originalsourceid>FETCH-LOGICAL-c395t-35d23563c64bfacd979ed0a4f0e364f68a473f6910302860e84f7cee1cdfe5493</originalsourceid><addsrcrecordid>eNp1kU2L1TAUhoMozofuXUlABBdTTZqkadzJ4KgwIIiuS25yMmZI05rTXpi_4q815V4_GHCV5LzP-cpLyDPOXnOu9RsuVCtVr3grhe65fEBOudS6YUazh_Ve5WbTT8gZ4i1jTGuhHpOTthVt3_XtKfn5JWLMN3QusLcJsgM6Bbq36NZkC3XTOJVd9HGJgDRmOq5piXMCii5BmTDi20qn6O0Sp7zlWj_GHHEpNbIH6iHU5yYiDVOhPtodLIAX9PvdDGWBjFW7oDb7QyTFOXoYo31CHgWbEJ4ez3Py7er918uPzfXnD58u3103Thi1NEL5VqhOuE7ugnXeaAOeWRkYiE6GrrdSi9AZzgSrSzPoZdAOgDsfQEkjzsmrQ925TD9WwGUYIzpIyWaYVhw454p1whhV0Rf30NtpLblON3DWMy2Z4V2l2IFy9YOwQBjmEkdb7io0bL4N932rKc-PhdfdCP5Pwm-jKvDyCFRrbArFZhfxL9cJZfp-690cOLQ38O90_2n8Cw2zr-w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1080740916</pqid></control><display><type>article</type><title>Rising prevalence of vascular comorbidities in multiple sclerosis: validation of administrative definitions for diabetes, hypertension, and hyperlipidemia</title><source>MEDLINE</source><source>SAGE Complete A-Z List</source><creator>Marrie, Ruth Ann ; Yu, Bo Nancy ; Leung, Stella ; Elliott, Lawrence ; Caetano, Patricia ; Warren, Sharon ; Wolfson, Christina ; Patten, Scott B ; Svenson, Lawrence W ; Tremlett, Helen ; Fisk, John ; Blanchard, James F</creator><creatorcontrib>Marrie, Ruth Ann ; Yu, Bo Nancy ; Leung, Stella ; Elliott, Lawrence ; Caetano, Patricia ; Warren, Sharon ; Wolfson, Christina ; Patten, Scott B ; Svenson, Lawrence W ; Tremlett, Helen ; Fisk, John ; Blanchard, James F ; CIHR Team in Epidemiology and Impact of Comorbidity on Multiple Sclerosis ; for the CIHR Team in the Epidemiology and Impact of Comorbidity on Multiple Sclerosis</creatorcontrib><description>Background:
Despite the importance of comorbidity in multiple sclerosis (MS), methods for comorbidity assessment in MS are poorly developed.
Objective:
We validated and applied administrative case definitions for diabetes, hypertension, and hyperlipidemia in MS.
Methods:
Using provincial administrative data we identified persons with MS and a matched general population cohort. Case definitions for diabetes, hypertension, and hyperlipidemia were derived using hospital, physician, and prescription claims, and validated in 430 persons with MS. We examined temporal trends in the age-adjusted prevalence of these conditions from 1984–2006.
Results:
Agreement between various case definitions and medical records ranged from kappa (κ) =0.51–0.69 for diabetes, κ =0.21–0.71 for hyperlipidemia, and κ =0.52–0.75 for hypertension. The 2005 age-adjusted prevalence of diabetes was similar in the MS (7.62%) and general populations (8.31%; prevalence ratio [PR] 0.91; 0.81–1.03). The age-adjusted prevalence did not differ for hypertension (MS: 20.8% versus general: 22.5% [PR 0.91; 0.78–1.06]), or hyperlipidemia (MS: 13.8% versus general: 15.2% [PR 0.90; 0.67–1.22]). The prevalence of all conditions rose in both populations over the study period.
Conclusion:
Administrative data are a valid means of tracking diabetes, hypertension, and hyperlipidemia in MS. The prevalence of these comorbidities is similar in the MS and general populations.</description><identifier>ISSN: 1352-4585</identifier><identifier>EISSN: 1477-0970</identifier><identifier>DOI: 10.1177/1352458512437814</identifier><identifier>PMID: 22328682</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adult ; Biological and medical sciences ; Case-Control Studies ; Comorbidity ; Data Mining ; Databases, Factual ; Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases ; Diabetes Mellitus - diagnosis ; Diabetes Mellitus - epidemiology ; Female ; Humans ; Hyperlipidemias - diagnosis ; Hyperlipidemias - epidemiology ; Hypertension - diagnosis ; Hypertension - epidemiology ; Male ; Manitoba - epidemiology ; Medical sciences ; Middle Aged ; Multiple Sclerosis - diagnosis ; Multiple Sclerosis - epidemiology ; Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis ; National Health Programs - statistics & numerical data ; Neurology ; Prevalence ; Registries ; Reproducibility of Results ; Time Factors ; Vascular Diseases - diagnosis ; Vascular Diseases - epidemiology ; Young Adult</subject><ispartof>Multiple sclerosis, 2012-09, Vol.18 (9), p.1310-1319</ispartof><rights>The Author(s) 2012</rights><rights>2015 INIST-CNRS</rights><rights>SAGE Publications © Sep 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-35d23563c64bfacd979ed0a4f0e364f68a473f6910302860e84f7cee1cdfe5493</citedby><cites>FETCH-LOGICAL-c395t-35d23563c64bfacd979ed0a4f0e364f68a473f6910302860e84f7cee1cdfe5493</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1352458512437814$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1352458512437814$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,777,781,21800,27905,27906,43602,43603</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26359886$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22328682$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marrie, Ruth Ann</creatorcontrib><creatorcontrib>Yu, Bo Nancy</creatorcontrib><creatorcontrib>Leung, Stella</creatorcontrib><creatorcontrib>Elliott, Lawrence</creatorcontrib><creatorcontrib>Caetano, Patricia</creatorcontrib><creatorcontrib>Warren, Sharon</creatorcontrib><creatorcontrib>Wolfson, Christina</creatorcontrib><creatorcontrib>Patten, Scott B</creatorcontrib><creatorcontrib>Svenson, Lawrence W</creatorcontrib><creatorcontrib>Tremlett, Helen</creatorcontrib><creatorcontrib>Fisk, John</creatorcontrib><creatorcontrib>Blanchard, James F</creatorcontrib><creatorcontrib>CIHR Team in Epidemiology and Impact of Comorbidity on Multiple Sclerosis</creatorcontrib><creatorcontrib>for the CIHR Team in the Epidemiology and Impact of Comorbidity on Multiple Sclerosis</creatorcontrib><title>Rising prevalence of vascular comorbidities in multiple sclerosis: validation of administrative definitions for diabetes, hypertension, and hyperlipidemia</title><title>Multiple sclerosis</title><addtitle>Mult Scler</addtitle><description>Background:
Despite the importance of comorbidity in multiple sclerosis (MS), methods for comorbidity assessment in MS are poorly developed.
Objective:
We validated and applied administrative case definitions for diabetes, hypertension, and hyperlipidemia in MS.
Methods:
Using provincial administrative data we identified persons with MS and a matched general population cohort. Case definitions for diabetes, hypertension, and hyperlipidemia were derived using hospital, physician, and prescription claims, and validated in 430 persons with MS. We examined temporal trends in the age-adjusted prevalence of these conditions from 1984–2006.
Results:
Agreement between various case definitions and medical records ranged from kappa (κ) =0.51–0.69 for diabetes, κ =0.21–0.71 for hyperlipidemia, and κ =0.52–0.75 for hypertension. The 2005 age-adjusted prevalence of diabetes was similar in the MS (7.62%) and general populations (8.31%; prevalence ratio [PR] 0.91; 0.81–1.03). The age-adjusted prevalence did not differ for hypertension (MS: 20.8% versus general: 22.5% [PR 0.91; 0.78–1.06]), or hyperlipidemia (MS: 13.8% versus general: 15.2% [PR 0.90; 0.67–1.22]). The prevalence of all conditions rose in both populations over the study period.
Conclusion:
Administrative data are a valid means of tracking diabetes, hypertension, and hyperlipidemia in MS. The prevalence of these comorbidities is similar in the MS and general populations.</description><subject>Adult</subject><subject>Biological and medical sciences</subject><subject>Case-Control Studies</subject><subject>Comorbidity</subject><subject>Data Mining</subject><subject>Databases, Factual</subject><subject>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</subject><subject>Diabetes Mellitus - diagnosis</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Female</subject><subject>Humans</subject><subject>Hyperlipidemias - diagnosis</subject><subject>Hyperlipidemias - epidemiology</subject><subject>Hypertension - diagnosis</subject><subject>Hypertension - epidemiology</subject><subject>Male</subject><subject>Manitoba - epidemiology</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Multiple Sclerosis - diagnosis</subject><subject>Multiple Sclerosis - epidemiology</subject><subject>Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis</subject><subject>National Health Programs - statistics & numerical data</subject><subject>Neurology</subject><subject>Prevalence</subject><subject>Registries</subject><subject>Reproducibility of Results</subject><subject>Time Factors</subject><subject>Vascular Diseases - diagnosis</subject><subject>Vascular Diseases - epidemiology</subject><subject>Young Adult</subject><issn>1352-4585</issn><issn>1477-0970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kU2L1TAUhoMozofuXUlABBdTTZqkadzJ4KgwIIiuS25yMmZI05rTXpi_4q815V4_GHCV5LzP-cpLyDPOXnOu9RsuVCtVr3grhe65fEBOudS6YUazh_Ve5WbTT8gZ4i1jTGuhHpOTthVt3_XtKfn5JWLMN3QusLcJsgM6Bbq36NZkC3XTOJVd9HGJgDRmOq5piXMCii5BmTDi20qn6O0Sp7zlWj_GHHEpNbIH6iHU5yYiDVOhPtodLIAX9PvdDGWBjFW7oDb7QyTFOXoYo31CHgWbEJ4ez3Py7er918uPzfXnD58u3103Thi1NEL5VqhOuE7ugnXeaAOeWRkYiE6GrrdSi9AZzgSrSzPoZdAOgDsfQEkjzsmrQ925TD9WwGUYIzpIyWaYVhw454p1whhV0Rf30NtpLblON3DWMy2Z4V2l2IFy9YOwQBjmEkdb7io0bL4N932rKc-PhdfdCP5Pwm-jKvDyCFRrbArFZhfxL9cJZfp-690cOLQ38O90_2n8Cw2zr-w</recordid><startdate>20120901</startdate><enddate>20120901</enddate><creator>Marrie, Ruth Ann</creator><creator>Yu, Bo Nancy</creator><creator>Leung, Stella</creator><creator>Elliott, Lawrence</creator><creator>Caetano, Patricia</creator><creator>Warren, Sharon</creator><creator>Wolfson, Christina</creator><creator>Patten, Scott B</creator><creator>Svenson, Lawrence W</creator><creator>Tremlett, Helen</creator><creator>Fisk, John</creator><creator>Blanchard, James F</creator><general>SAGE Publications</general><general>Sage Publications</general><general>Sage Publications Ltd</general><scope>IQODW</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>3V.</scope><scope>7T5</scope><scope>7TK</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9-</scope><scope>K9.</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20120901</creationdate><title>Rising prevalence of vascular comorbidities in multiple sclerosis: validation of administrative definitions for diabetes, hypertension, and hyperlipidemia</title><author>Marrie, Ruth Ann ; Yu, Bo Nancy ; Leung, Stella ; Elliott, Lawrence ; Caetano, Patricia ; Warren, Sharon ; Wolfson, Christina ; Patten, Scott B ; Svenson, Lawrence W ; Tremlett, Helen ; Fisk, John ; Blanchard, James F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-35d23563c64bfacd979ed0a4f0e364f68a473f6910302860e84f7cee1cdfe5493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Biological and medical sciences</topic><topic>Case-Control Studies</topic><topic>Comorbidity</topic><topic>Data Mining</topic><topic>Databases, Factual</topic><topic>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</topic><topic>Diabetes Mellitus - diagnosis</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Female</topic><topic>Humans</topic><topic>Hyperlipidemias - diagnosis</topic><topic>Hyperlipidemias - epidemiology</topic><topic>Hypertension - diagnosis</topic><topic>Hypertension - epidemiology</topic><topic>Male</topic><topic>Manitoba - epidemiology</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Multiple Sclerosis - diagnosis</topic><topic>Multiple Sclerosis - epidemiology</topic><topic>Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis</topic><topic>National Health Programs - statistics & numerical data</topic><topic>Neurology</topic><topic>Prevalence</topic><topic>Registries</topic><topic>Reproducibility of Results</topic><topic>Time Factors</topic><topic>Vascular Diseases - diagnosis</topic><topic>Vascular Diseases - epidemiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marrie, Ruth Ann</creatorcontrib><creatorcontrib>Yu, Bo Nancy</creatorcontrib><creatorcontrib>Leung, Stella</creatorcontrib><creatorcontrib>Elliott, Lawrence</creatorcontrib><creatorcontrib>Caetano, Patricia</creatorcontrib><creatorcontrib>Warren, Sharon</creatorcontrib><creatorcontrib>Wolfson, Christina</creatorcontrib><creatorcontrib>Patten, Scott B</creatorcontrib><creatorcontrib>Svenson, Lawrence W</creatorcontrib><creatorcontrib>Tremlett, Helen</creatorcontrib><creatorcontrib>Fisk, John</creatorcontrib><creatorcontrib>Blanchard, James F</creatorcontrib><creatorcontrib>CIHR Team in Epidemiology and Impact of Comorbidity on Multiple Sclerosis</creatorcontrib><creatorcontrib>for the CIHR Team in the Epidemiology and Impact of Comorbidity on Multiple Sclerosis</creatorcontrib><collection>Pascal-Francis</collection><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>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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 Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Multiple sclerosis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marrie, Ruth Ann</au><au>Yu, Bo Nancy</au><au>Leung, Stella</au><au>Elliott, Lawrence</au><au>Caetano, Patricia</au><au>Warren, Sharon</au><au>Wolfson, Christina</au><au>Patten, Scott B</au><au>Svenson, Lawrence W</au><au>Tremlett, Helen</au><au>Fisk, John</au><au>Blanchard, James F</au><aucorp>CIHR Team in Epidemiology and Impact of Comorbidity on Multiple Sclerosis</aucorp><aucorp>for the CIHR Team in the Epidemiology and Impact of Comorbidity on Multiple Sclerosis</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rising prevalence of vascular comorbidities in multiple sclerosis: validation of administrative definitions for diabetes, hypertension, and hyperlipidemia</atitle><jtitle>Multiple sclerosis</jtitle><addtitle>Mult Scler</addtitle><date>2012-09-01</date><risdate>2012</risdate><volume>18</volume><issue>9</issue><spage>1310</spage><epage>1319</epage><pages>1310-1319</pages><issn>1352-4585</issn><eissn>1477-0970</eissn><abstract>Background:
Despite the importance of comorbidity in multiple sclerosis (MS), methods for comorbidity assessment in MS are poorly developed.
Objective:
We validated and applied administrative case definitions for diabetes, hypertension, and hyperlipidemia in MS.
Methods:
Using provincial administrative data we identified persons with MS and a matched general population cohort. Case definitions for diabetes, hypertension, and hyperlipidemia were derived using hospital, physician, and prescription claims, and validated in 430 persons with MS. We examined temporal trends in the age-adjusted prevalence of these conditions from 1984–2006.
Results:
Agreement between various case definitions and medical records ranged from kappa (κ) =0.51–0.69 for diabetes, κ =0.21–0.71 for hyperlipidemia, and κ =0.52–0.75 for hypertension. The 2005 age-adjusted prevalence of diabetes was similar in the MS (7.62%) and general populations (8.31%; prevalence ratio [PR] 0.91; 0.81–1.03). The age-adjusted prevalence did not differ for hypertension (MS: 20.8% versus general: 22.5% [PR 0.91; 0.78–1.06]), or hyperlipidemia (MS: 13.8% versus general: 15.2% [PR 0.90; 0.67–1.22]). The prevalence of all conditions rose in both populations over the study period.
Conclusion:
Administrative data are a valid means of tracking diabetes, hypertension, and hyperlipidemia in MS. The prevalence of these comorbidities is similar in the MS and general populations.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>22328682</pmid><doi>10.1177/1352458512437814</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1352-4585 |
| ispartof | Multiple sclerosis, 2012-09, Vol.18 (9), p.1310-1319 |
| issn | 1352-4585 1477-0970 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1115063995 |
| source | MEDLINE; SAGE Complete A-Z List |
| subjects | Adult Biological and medical sciences Case-Control Studies Comorbidity Data Mining Databases, Factual Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases Diabetes Mellitus - diagnosis Diabetes Mellitus - epidemiology Female Humans Hyperlipidemias - diagnosis Hyperlipidemias - epidemiology Hypertension - diagnosis Hypertension - epidemiology Male Manitoba - epidemiology Medical sciences Middle Aged Multiple Sclerosis - diagnosis Multiple Sclerosis - epidemiology Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis National Health Programs - statistics & numerical data Neurology Prevalence Registries Reproducibility of Results Time Factors Vascular Diseases - diagnosis Vascular Diseases - epidemiology Young Adult |
| title | Rising prevalence of vascular comorbidities in multiple sclerosis: validation of administrative definitions for diabetes, hypertension, and hyperlipidemia |
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