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Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity
OBJECTIVE: We assessed the comorbidity burden associated with multiple sclerosis (MS) severity by performing a phenome-wide association study (PheWAS). METHODS: We conducted a PheWAS in 2 independent cohorts: a discovery (Boston, United States; 1993–2014) and extension cohort (British Columbia, Cana...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673286/ https://www.ncbi.nlm.nih.gov/pubmed/32817202 http://dx.doi.org/10.1212/NXI.0000000000000864 |
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author | Zhang, Tingting Goodman, Matthew Zhu, Feng Healy, Brian Carruthers, Robert Chitnis, Tanuja Weiner, Howard Cai, Tianxi De Jager, Philip Tremlett, Helen Xia, Zongqi |
author_facet | Zhang, Tingting Goodman, Matthew Zhu, Feng Healy, Brian Carruthers, Robert Chitnis, Tanuja Weiner, Howard Cai, Tianxi De Jager, Philip Tremlett, Helen Xia, Zongqi |
author_sort | Zhang, Tingting |
collection | PubMed |
description | OBJECTIVE: We assessed the comorbidity burden associated with multiple sclerosis (MS) severity by performing a phenome-wide association study (PheWAS). METHODS: We conducted a PheWAS in 2 independent cohorts: a discovery (Boston, United States; 1993–2014) and extension cohort (British Columbia, Canada; 1991–2008). We included adults with MS, ≥1 Expanded Disability Status Scale (EDSS) score, and ≥1 International Classification of Diseases (ICD) code other than MS. We calculated the Multiple Sclerosis Severity Score (MSSS) using the EDSS. We mapped ICD codes into PheCodes (phenotypes), using a published system with each PheCode representing a unique medical condition. Association between the MSSS and the presence of each condition was assessed using logistic regression adjusted for covariates. RESULTS: The discovery and extension cohorts included 3,439 and 4,876 participants, respectively. After Bonferroni correction and covariate adjustments, a higher MSSS was associated with 37 coexisting conditions in the discovery cohort. Subsequently, 16 conditions, including genitourinary, infectious, metabolic, epilepsy, and movement disorders, met the reporting criteria, reaching the Bonferroni threshold of significance with the same direction of effect in the discovery and extension cohort. Notably, benign neoplasm of the skin was inversely associated with the MSSS. CONCLUSION: The phenome-wide approach enabled a systematic interrogation of the comorbidity burden and highlighted clinically relevant medical conditions associated with MS severity (beyond MS-specific consequences) and defines a roadmap for comprehensive investigation of comorbidities in chronic neurologic diseases. Further prospective investigation of the bidirectional relationship between disability and comorbidities could inform the individualized patient management. |
format | Online Article Text |
id | pubmed-7673286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-76732862020-11-19 Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity Zhang, Tingting Goodman, Matthew Zhu, Feng Healy, Brian Carruthers, Robert Chitnis, Tanuja Weiner, Howard Cai, Tianxi De Jager, Philip Tremlett, Helen Xia, Zongqi Neurol Neuroimmunol Neuroinflamm Article OBJECTIVE: We assessed the comorbidity burden associated with multiple sclerosis (MS) severity by performing a phenome-wide association study (PheWAS). METHODS: We conducted a PheWAS in 2 independent cohorts: a discovery (Boston, United States; 1993–2014) and extension cohort (British Columbia, Canada; 1991–2008). We included adults with MS, ≥1 Expanded Disability Status Scale (EDSS) score, and ≥1 International Classification of Diseases (ICD) code other than MS. We calculated the Multiple Sclerosis Severity Score (MSSS) using the EDSS. We mapped ICD codes into PheCodes (phenotypes), using a published system with each PheCode representing a unique medical condition. Association between the MSSS and the presence of each condition was assessed using logistic regression adjusted for covariates. RESULTS: The discovery and extension cohorts included 3,439 and 4,876 participants, respectively. After Bonferroni correction and covariate adjustments, a higher MSSS was associated with 37 coexisting conditions in the discovery cohort. Subsequently, 16 conditions, including genitourinary, infectious, metabolic, epilepsy, and movement disorders, met the reporting criteria, reaching the Bonferroni threshold of significance with the same direction of effect in the discovery and extension cohort. Notably, benign neoplasm of the skin was inversely associated with the MSSS. CONCLUSION: The phenome-wide approach enabled a systematic interrogation of the comorbidity burden and highlighted clinically relevant medical conditions associated with MS severity (beyond MS-specific consequences) and defines a roadmap for comprehensive investigation of comorbidities in chronic neurologic diseases. Further prospective investigation of the bidirectional relationship between disability and comorbidities could inform the individualized patient management. Lippincott Williams & Wilkins 2020-08-18 /pmc/articles/PMC7673286/ /pubmed/32817202 http://dx.doi.org/10.1212/NXI.0000000000000864 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Article Zhang, Tingting Goodman, Matthew Zhu, Feng Healy, Brian Carruthers, Robert Chitnis, Tanuja Weiner, Howard Cai, Tianxi De Jager, Philip Tremlett, Helen Xia, Zongqi Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity |
title | Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity |
title_full | Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity |
title_fullStr | Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity |
title_full_unstemmed | Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity |
title_short | Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity |
title_sort | phenome-wide examination of comorbidity burden and multiple sclerosis disease severity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673286/ https://www.ncbi.nlm.nih.gov/pubmed/32817202 http://dx.doi.org/10.1212/NXI.0000000000000864 |
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