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Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany
Background: Multiple sclerosis (MS) is a chronic, progressive neurological autoimmune disease impacting quality of life. BRISA is an app designed to help MS patients in Germany track their disease course by symptom-monitoring. This study aimed to understand demographic and health-related characteris...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325101/ https://www.ncbi.nlm.nih.gov/pubmed/35887597 http://dx.doi.org/10.3390/jpm12071100 |
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author | Balakrishnan, Preetha Groenberg, Jannis Jacyshyn-Owen, Elizabeth Eberl, Markus Friedrich, Benjamin Joschko, Natalie Ziemssen, Tjalf |
author_facet | Balakrishnan, Preetha Groenberg, Jannis Jacyshyn-Owen, Elizabeth Eberl, Markus Friedrich, Benjamin Joschko, Natalie Ziemssen, Tjalf |
author_sort | Balakrishnan, Preetha |
collection | PubMed |
description | Background: Multiple sclerosis (MS) is a chronic, progressive neurological autoimmune disease impacting quality of life. BRISA is an app designed to help MS patients in Germany track their disease course by symptom-monitoring. This study aimed to understand demographic and health-related characteristics of BRISA users. Methods: Demographic data provided by 2095 users were analyzed to describe characteristics such as sex, age, type of MS, and medication. The distribution of tracked symptoms based on age and time since diagnosis were studied. Furthermore, the covariance of specific symptom pairs was analyzed. Results: BRISA users are predominantly female and between 26 and 55 years old. Relapsing–remitting MS was the most prevalent form of MS. First-line category 1 drugs were most frequently used, followed by high-efficacy category 3 drugs (e.g., monoclonal antibodies). The relative frequencies of use of category 1 and category 2 drugs (e.g., spingosine-1-phosphate-receptor modulators) significantly altered with time since diagnosis. Fatigue, concentration disorders, tingling, forgetfulness, and pain were the top five symptoms affecting users. Conclusion: The results highlight the diversity among MS patients and the need for extensive cohort characterization in the real-world scenario. In-depth analysis could help in identifying novel insights that could aid in disease management. |
format | Online Article Text |
id | pubmed-9325101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93251012022-07-27 Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany Balakrishnan, Preetha Groenberg, Jannis Jacyshyn-Owen, Elizabeth Eberl, Markus Friedrich, Benjamin Joschko, Natalie Ziemssen, Tjalf J Pers Med Article Background: Multiple sclerosis (MS) is a chronic, progressive neurological autoimmune disease impacting quality of life. BRISA is an app designed to help MS patients in Germany track their disease course by symptom-monitoring. This study aimed to understand demographic and health-related characteristics of BRISA users. Methods: Demographic data provided by 2095 users were analyzed to describe characteristics such as sex, age, type of MS, and medication. The distribution of tracked symptoms based on age and time since diagnosis were studied. Furthermore, the covariance of specific symptom pairs was analyzed. Results: BRISA users are predominantly female and between 26 and 55 years old. Relapsing–remitting MS was the most prevalent form of MS. First-line category 1 drugs were most frequently used, followed by high-efficacy category 3 drugs (e.g., monoclonal antibodies). The relative frequencies of use of category 1 and category 2 drugs (e.g., spingosine-1-phosphate-receptor modulators) significantly altered with time since diagnosis. Fatigue, concentration disorders, tingling, forgetfulness, and pain were the top five symptoms affecting users. Conclusion: The results highlight the diversity among MS patients and the need for extensive cohort characterization in the real-world scenario. In-depth analysis could help in identifying novel insights that could aid in disease management. MDPI 2022-07-01 /pmc/articles/PMC9325101/ /pubmed/35887597 http://dx.doi.org/10.3390/jpm12071100 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Balakrishnan, Preetha Groenberg, Jannis Jacyshyn-Owen, Elizabeth Eberl, Markus Friedrich, Benjamin Joschko, Natalie Ziemssen, Tjalf Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany |
title | Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany |
title_full | Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany |
title_fullStr | Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany |
title_full_unstemmed | Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany |
title_short | Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany |
title_sort | demographic patterns of ms patients using brisa: an ms-specific app in germany |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325101/ https://www.ncbi.nlm.nih.gov/pubmed/35887597 http://dx.doi.org/10.3390/jpm12071100 |
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