Social consequences of multiple sclerosis: clinical and demographic predictors - a historical prospective cohort study

Background:  Time to disability pension is one of the endpoints to be used to determine the prognosis of multiple sclerosis (MS) in prospective studies. Objective:  To assess the time to cessation of work and receiving disability pension in MS, and how it may depend on gender, type of work and age a...

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Veröffentlicht in:European journal of neurology 2010-11, Vol.17 (11), p.1346-1351
Hauptverfasser: Pfleger, C. C. H., Flachs, E. M., Koch-Henriksen, N.
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container_end_page 1351
container_issue 11
container_start_page 1346
container_title European journal of neurology
container_volume 17
creator Pfleger, C. C. H.
Flachs, E. M.
Koch-Henriksen, N.
description Background:  Time to disability pension is one of the endpoints to be used to determine the prognosis of multiple sclerosis (MS) in prospective studies. Objective:  To assess the time to cessation of work and receiving disability pension in MS, and how it may depend on gender, type of work and age and symptom at onset. Method:  A total of 2240 Danes with onset of definite/probable MS 1980–1989, identified from the Danish MS‐Registry, were included. Information on social endpoints was retrieved from Statistics Denmark. Cox regression analyses were used with onset as starting point. Results:  Afferent onset symptoms [hazard ratio (HR 0.57)] and non‐physical type of work (HR 0.70) were favourable prognostic factors compared with high age at onset, physical work and efferent symptoms at onset. The mean time to disability pension was 13 years for patients with afferent/brainstem onset symptom but 8.7 years for those with efferent onset symptoms (P 
doi_str_mv 10.1111/j.1468-1331.2010.03020.x
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C. H. ; Flachs, E. M. ; Koch-Henriksen, N.</creator><creatorcontrib>Pfleger, C. C. H. ; Flachs, E. M. ; Koch-Henriksen, N.</creatorcontrib><description>Background:  Time to disability pension is one of the endpoints to be used to determine the prognosis of multiple sclerosis (MS) in prospective studies. Objective:  To assess the time to cessation of work and receiving disability pension in MS, and how it may depend on gender, type of work and age and symptom at onset. Method:  A total of 2240 Danes with onset of definite/probable MS 1980–1989, identified from the Danish MS‐Registry, were included. Information on social endpoints was retrieved from Statistics Denmark. Cox regression analyses were used with onset as starting point. Results:  Afferent onset symptoms [hazard ratio (HR 0.57)] and non‐physical type of work (HR 0.70) were favourable prognostic factors compared with high age at onset, physical work and efferent symptoms at onset. The mean time to disability pension was 13 years for patients with afferent/brainstem onset symptom but 8.7 years for those with efferent onset symptoms (P &lt; 0.0001). The effect of onset symptom was reduced and the effect of sex became significant when all covariates and age at onset were included in multivariate Cox regression. Conclusions:  Onset age, type of onset symptom and work are robust predictors of disability pension in MS. Disability pension proves to be a reliable milestone in estimation of the prognosis of MS.</description><identifier>ISSN: 1351-5101</identifier><identifier>EISSN: 1468-1331</identifier><identifier>DOI: 10.1111/j.1468-1331.2010.03020.x</identifier><identifier>PMID: 20402759</identifier><identifier>CODEN: EJNEFL</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Age ; Age of Onset ; Cohort Studies ; cohort study ; demographic predictors ; Demography ; Denmark ; Disability Evaluation ; disability pension ; Disability pensions ; Disabled Persons - statistics &amp; numerical data ; Disease Progression ; early retirement ; Female ; Humans ; Male ; Medical prognosis ; Multiple sclerosis ; Multiple Sclerosis - economics ; Multiple Sclerosis - epidemiology ; occupational status ; Pensions - statistics &amp; numerical data ; Predictive Value of Tests ; Probability ; Prognosis ; Proportional Hazards Models ; Retirement - statistics &amp; numerical data</subject><ispartof>European journal of neurology, 2010-11, Vol.17 (11), p.1346-1351</ispartof><rights>2010 The Author(s). Journal compilation © 2010 EFNS</rights><rights>2010 The Author(s). Journal compilation © 2010 EFNS.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4340-75729c17291d8aaeafb7701e0ae73b4f99faa5a7f5fea8349ded63eaada00b243</citedby><cites>FETCH-LOGICAL-c4340-75729c17291d8aaeafb7701e0ae73b4f99faa5a7f5fea8349ded63eaada00b243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1468-1331.2010.03020.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1468-1331.2010.03020.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20402759$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pfleger, C. C. H.</creatorcontrib><creatorcontrib>Flachs, E. M.</creatorcontrib><creatorcontrib>Koch-Henriksen, N.</creatorcontrib><title>Social consequences of multiple sclerosis: clinical and demographic predictors - a historical prospective cohort study</title><title>European journal of neurology</title><addtitle>Eur J Neurol</addtitle><description>Background:  Time to disability pension is one of the endpoints to be used to determine the prognosis of multiple sclerosis (MS) in prospective studies. Objective:  To assess the time to cessation of work and receiving disability pension in MS, and how it may depend on gender, type of work and age and symptom at onset. Method:  A total of 2240 Danes with onset of definite/probable MS 1980–1989, identified from the Danish MS‐Registry, were included. Information on social endpoints was retrieved from Statistics Denmark. Cox regression analyses were used with onset as starting point. Results:  Afferent onset symptoms [hazard ratio (HR 0.57)] and non‐physical type of work (HR 0.70) were favourable prognostic factors compared with high age at onset, physical work and efferent symptoms at onset. The mean time to disability pension was 13 years for patients with afferent/brainstem onset symptom but 8.7 years for those with efferent onset symptoms (P &lt; 0.0001). The effect of onset symptom was reduced and the effect of sex became significant when all covariates and age at onset were included in multivariate Cox regression. Conclusions:  Onset age, type of onset symptom and work are robust predictors of disability pension in MS. Disability pension proves to be a reliable milestone in estimation of the prognosis of MS.</description><subject>Age</subject><subject>Age of Onset</subject><subject>Cohort Studies</subject><subject>cohort study</subject><subject>demographic predictors</subject><subject>Demography</subject><subject>Denmark</subject><subject>Disability Evaluation</subject><subject>disability pension</subject><subject>Disability pensions</subject><subject>Disabled Persons - statistics &amp; numerical data</subject><subject>Disease Progression</subject><subject>early retirement</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Multiple sclerosis</subject><subject>Multiple Sclerosis - economics</subject><subject>Multiple Sclerosis - epidemiology</subject><subject>occupational status</subject><subject>Pensions - statistics &amp; numerical data</subject><subject>Predictive Value of Tests</subject><subject>Probability</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Retirement - statistics &amp; numerical data</subject><issn>1351-5101</issn><issn>1468-1331</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkctu1DAUhiNERW-8ArLEglWGYzuJEyQWqDMdKpUBqSCW1hnnhPGQW-2knXl7nE6ZBSu8sI_s7z8X_1HEOMx4WO-3M55kecyl5DMB4RYkCJjtXkRnx4eXIZYpj1MO_DQ6934LAEIJeBWdCkhCmBZn0cNdZyzWzHStp_uRWkOedRVrxnqwfU3Mm5pc563_wExtW2sCjG3JSmq6Xw77jTWsd1RaM3TOs5gh21gf4ieyD9KezGAfKJTYdG5gfhjL_WV0UmHt6fXzeRH9uF58v_oc335d3lx9uo1NIhOIVapEYXjYeJkjElZrpYATICm5TqqiqBBTVFVaEeYyKUoqM0mIJQKsRSIvoneHvKGRMJ0fdGO9obrGlrrRa5UJkcs8n8i3_5DbbnRtaE7zHHgGqcjTQOUHyoTBvKNK98426Paag56s0Vs9OaAnB_RkjX6yRu-C9M1zgXHdUHkU_vUiAB8PwKOtaf_fifVitZiioI8P-vD9tDvq0f3WmZIq1T9XSy2_zJfz6_lKf5N_AJvTre4</recordid><startdate>201011</startdate><enddate>201011</enddate><creator>Pfleger, C. C. H.</creator><creator>Flachs, E. M.</creator><creator>Koch-Henriksen, N.</creator><general>Blackwell Publishing Ltd</general><general>John Wiley &amp; Sons, Inc</general><scope>BSCLL</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>7TK</scope><scope>7U7</scope><scope>C1K</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>201011</creationdate><title>Social consequences of multiple sclerosis: clinical and demographic predictors - a historical prospective cohort study</title><author>Pfleger, C. C. H. ; Flachs, E. M. ; Koch-Henriksen, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4340-75729c17291d8aaeafb7701e0ae73b4f99faa5a7f5fea8349ded63eaada00b243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Age</topic><topic>Age of Onset</topic><topic>Cohort Studies</topic><topic>cohort study</topic><topic>demographic predictors</topic><topic>Demography</topic><topic>Denmark</topic><topic>Disability Evaluation</topic><topic>disability pension</topic><topic>Disability pensions</topic><topic>Disabled Persons - statistics &amp; numerical data</topic><topic>Disease Progression</topic><topic>early retirement</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Multiple sclerosis</topic><topic>Multiple Sclerosis - economics</topic><topic>Multiple Sclerosis - epidemiology</topic><topic>occupational status</topic><topic>Pensions - statistics &amp; numerical data</topic><topic>Predictive Value of Tests</topic><topic>Probability</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Retirement - statistics &amp; numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pfleger, C. C. H.</creatorcontrib><creatorcontrib>Flachs, E. M.</creatorcontrib><creatorcontrib>Koch-Henriksen, N.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pfleger, C. C. H.</au><au>Flachs, E. M.</au><au>Koch-Henriksen, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social consequences of multiple sclerosis: clinical and demographic predictors - a historical prospective cohort study</atitle><jtitle>European journal of neurology</jtitle><addtitle>Eur J Neurol</addtitle><date>2010-11</date><risdate>2010</risdate><volume>17</volume><issue>11</issue><spage>1346</spage><epage>1351</epage><pages>1346-1351</pages><issn>1351-5101</issn><eissn>1468-1331</eissn><coden>EJNEFL</coden><abstract>Background:  Time to disability pension is one of the endpoints to be used to determine the prognosis of multiple sclerosis (MS) in prospective studies. Objective:  To assess the time to cessation of work and receiving disability pension in MS, and how it may depend on gender, type of work and age and symptom at onset. Method:  A total of 2240 Danes with onset of definite/probable MS 1980–1989, identified from the Danish MS‐Registry, were included. Information on social endpoints was retrieved from Statistics Denmark. Cox regression analyses were used with onset as starting point. Results:  Afferent onset symptoms [hazard ratio (HR 0.57)] and non‐physical type of work (HR 0.70) were favourable prognostic factors compared with high age at onset, physical work and efferent symptoms at onset. The mean time to disability pension was 13 years for patients with afferent/brainstem onset symptom but 8.7 years for those with efferent onset symptoms (P &lt; 0.0001). The effect of onset symptom was reduced and the effect of sex became significant when all covariates and age at onset were included in multivariate Cox regression. Conclusions:  Onset age, type of onset symptom and work are robust predictors of disability pension in MS. Disability pension proves to be a reliable milestone in estimation of the prognosis of MS.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>20402759</pmid><doi>10.1111/j.1468-1331.2010.03020.x</doi><tpages>6</tpages></addata></record>
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subjects Age
Age of Onset
Cohort Studies
cohort study
demographic predictors
Demography
Denmark
Disability Evaluation
disability pension
Disability pensions
Disabled Persons - statistics & numerical data
Disease Progression
early retirement
Female
Humans
Male
Medical prognosis
Multiple sclerosis
Multiple Sclerosis - economics
Multiple Sclerosis - epidemiology
occupational status
Pensions - statistics & numerical data
Predictive Value of Tests
Probability
Prognosis
Proportional Hazards Models
Retirement - statistics & numerical data
title Social consequences of multiple sclerosis: clinical and demographic predictors - a historical prospective cohort study
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