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Cost-of-illness trajectories among people with multiple sclerosis by comorbidity: A register-based prospective study in Sweden

BACKGROUND: Comorbidities are common among people with multiple sclerosis (PwMS); yet, their impact on the cost-of-illness (COI) in MS is unknown. OBJECTIVE: Explore the heterogeneity in COI trajectories among newly diagnosed PwMS in relation to type of comorbidity. METHODS: A nationwide longitudina...

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Autores principales: Bütepage, Greta, Esawi, Ahmed, Alexanderson, Kristina, Friberg, Emilie, Murley, Chantelle, Hillert, Jan, Karampampa, Korinna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585903/
https://www.ncbi.nlm.nih.gov/pubmed/33149932
http://dx.doi.org/10.1177/2055217320968597
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author Bütepage, Greta
Esawi, Ahmed
Alexanderson, Kristina
Friberg, Emilie
Murley, Chantelle
Hillert, Jan
Karampampa, Korinna
author_facet Bütepage, Greta
Esawi, Ahmed
Alexanderson, Kristina
Friberg, Emilie
Murley, Chantelle
Hillert, Jan
Karampampa, Korinna
author_sort Bütepage, Greta
collection PubMed
description BACKGROUND: Comorbidities are common among people with multiple sclerosis (PwMS); yet, their impact on the cost-of-illness (COI) in MS is unknown. OBJECTIVE: Explore the heterogeneity in COI trajectories among newly diagnosed PwMS in relation to type of comorbidity. METHODS: A nationwide longitudinal cohort study, using prospectively collected Swedish register data for seven years. The COI/year of 639 PwMS diagnosed in 2006, when aged 25–60, was estimated until 2013. Using healthcare data, PwMS were categorised into six comorbidity groups: ocular; cardiovascular, genitourinary or cancer disease; musculoskeletal; mental; neurological other than MS; and injuries. One group of PwMS without comorbidity was also created. Group-based trajectory modelling was applied, examining different COI trajectories within each comorbidity group. RESULTS: Across the seven follow-up years, PwMS with mental comorbidities had the highest COI overall (€36,482). Four COI trajectories were identified within each comorbidity group; the largest trajectory had high healthcare costs and productivity losses (36.3%–59.6% of PwMS, across all comorbidity groups). 59.6% of PwMS with mental comorbidity had high healthcare costs and productivity losses. CONCLUSION: High COI and heterogeneity in COI trajectories could be partly explained by the presence of chronic comorbidities in the year around MS diagnosis, including the presence of mental comorbidity.
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spelling pubmed-75859032020-11-03 Cost-of-illness trajectories among people with multiple sclerosis by comorbidity: A register-based prospective study in Sweden Bütepage, Greta Esawi, Ahmed Alexanderson, Kristina Friberg, Emilie Murley, Chantelle Hillert, Jan Karampampa, Korinna Mult Scler J Exp Transl Clin Original Research Paper BACKGROUND: Comorbidities are common among people with multiple sclerosis (PwMS); yet, their impact on the cost-of-illness (COI) in MS is unknown. OBJECTIVE: Explore the heterogeneity in COI trajectories among newly diagnosed PwMS in relation to type of comorbidity. METHODS: A nationwide longitudinal cohort study, using prospectively collected Swedish register data for seven years. The COI/year of 639 PwMS diagnosed in 2006, when aged 25–60, was estimated until 2013. Using healthcare data, PwMS were categorised into six comorbidity groups: ocular; cardiovascular, genitourinary or cancer disease; musculoskeletal; mental; neurological other than MS; and injuries. One group of PwMS without comorbidity was also created. Group-based trajectory modelling was applied, examining different COI trajectories within each comorbidity group. RESULTS: Across the seven follow-up years, PwMS with mental comorbidities had the highest COI overall (€36,482). Four COI trajectories were identified within each comorbidity group; the largest trajectory had high healthcare costs and productivity losses (36.3%–59.6% of PwMS, across all comorbidity groups). 59.6% of PwMS with mental comorbidity had high healthcare costs and productivity losses. CONCLUSION: High COI and heterogeneity in COI trajectories could be partly explained by the presence of chronic comorbidities in the year around MS diagnosis, including the presence of mental comorbidity. SAGE Publications 2020-10-23 /pmc/articles/PMC7585903/ /pubmed/33149932 http://dx.doi.org/10.1177/2055217320968597 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/ Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Paper
Bütepage, Greta
Esawi, Ahmed
Alexanderson, Kristina
Friberg, Emilie
Murley, Chantelle
Hillert, Jan
Karampampa, Korinna
Cost-of-illness trajectories among people with multiple sclerosis by comorbidity: A register-based prospective study in Sweden
title Cost-of-illness trajectories among people with multiple sclerosis by comorbidity: A register-based prospective study in Sweden
title_full Cost-of-illness trajectories among people with multiple sclerosis by comorbidity: A register-based prospective study in Sweden
title_fullStr Cost-of-illness trajectories among people with multiple sclerosis by comorbidity: A register-based prospective study in Sweden
title_full_unstemmed Cost-of-illness trajectories among people with multiple sclerosis by comorbidity: A register-based prospective study in Sweden
title_short Cost-of-illness trajectories among people with multiple sclerosis by comorbidity: A register-based prospective study in Sweden
title_sort cost-of-illness trajectories among people with multiple sclerosis by comorbidity: a register-based prospective study in sweden
topic Original Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585903/
https://www.ncbi.nlm.nih.gov/pubmed/33149932
http://dx.doi.org/10.1177/2055217320968597
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