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Predictors of Catching COVID-19 Infection during Pandemic Stage in Patients with Multiple Sclerosis (MS)
BACKGROUND: Patients with multiple sclerosis (MS) are considered at higher risk of COVID-19 infection due to treatment with immune modulators and immune-suppressive agents. The exact risk factors are not clear. So, we aimed to conduct a study to determine the predictors of catching COVID-19 infectio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470912/ https://www.ncbi.nlm.nih.gov/pubmed/36119957 http://dx.doi.org/10.4103/ijpvm.IJPVM_480_20 |
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author | Ghajarzadeh, Mahsa Mirmosayyeb, Omid Molazadeh, Negar Sahraian, Mohammad Ali Bonavita, Simona Shaygannejad, Vahid |
author_facet | Ghajarzadeh, Mahsa Mirmosayyeb, Omid Molazadeh, Negar Sahraian, Mohammad Ali Bonavita, Simona Shaygannejad, Vahid |
author_sort | Ghajarzadeh, Mahsa |
collection | PubMed |
description | BACKGROUND: Patients with multiple sclerosis (MS) are considered at higher risk of COVID-19 infection due to treatment with immune modulators and immune-suppressive agents. The exact risk factors are not clear. So, we aimed to conduct a study to determine the predictors of catching COVID-19 infection during the pandemic stage in patients with multiple sclerosis (MS). METHODS: We conducted a multicenter screening study and developed an online questionnaire to collect patients’ self-reported demographic features along with MS-related and COVID-19–related information. The online questionnaire link was released by the Iran Multiple Sclerosis Society (IMSS) social media channel, accessible for 4160 MS patients totally and also was sent by WhatsApp for nonmember cases. RESULTS: Totally, 1448 MS patients participated in our study. Twenty-five (1.7%) patients were diagnosed with COVID-19, from which 4 were hospitalized, 4 were treated with medical therapy, and 17 patients had home-quarantine. The patients with COVID-19 diagnosis were more frequently treated with rituximab (28% vs 24%, P = 0.001) than others, and cardiovascular comorbidity was more frequent in this group (8% vs 1.6%, P = 0.01). Regression analysis showed that cardiovascular disease was a significant positive predictor of COVID-19 infection (OR = 5.2, 95% CI: 1.1–23.7). CONCLUSIONS: Patients with MS who have cardiovascular disease should be more monitored for COVID-19 infection as they are at higher risk of infection. |
format | Online Article Text |
id | pubmed-9470912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-94709122022-09-15 Predictors of Catching COVID-19 Infection during Pandemic Stage in Patients with Multiple Sclerosis (MS) Ghajarzadeh, Mahsa Mirmosayyeb, Omid Molazadeh, Negar Sahraian, Mohammad Ali Bonavita, Simona Shaygannejad, Vahid Int J Prev Med Original Article BACKGROUND: Patients with multiple sclerosis (MS) are considered at higher risk of COVID-19 infection due to treatment with immune modulators and immune-suppressive agents. The exact risk factors are not clear. So, we aimed to conduct a study to determine the predictors of catching COVID-19 infection during the pandemic stage in patients with multiple sclerosis (MS). METHODS: We conducted a multicenter screening study and developed an online questionnaire to collect patients’ self-reported demographic features along with MS-related and COVID-19–related information. The online questionnaire link was released by the Iran Multiple Sclerosis Society (IMSS) social media channel, accessible for 4160 MS patients totally and also was sent by WhatsApp for nonmember cases. RESULTS: Totally, 1448 MS patients participated in our study. Twenty-five (1.7%) patients were diagnosed with COVID-19, from which 4 were hospitalized, 4 were treated with medical therapy, and 17 patients had home-quarantine. The patients with COVID-19 diagnosis were more frequently treated with rituximab (28% vs 24%, P = 0.001) than others, and cardiovascular comorbidity was more frequent in this group (8% vs 1.6%, P = 0.01). Regression analysis showed that cardiovascular disease was a significant positive predictor of COVID-19 infection (OR = 5.2, 95% CI: 1.1–23.7). CONCLUSIONS: Patients with MS who have cardiovascular disease should be more monitored for COVID-19 infection as they are at higher risk of infection. Wolters Kluwer - Medknow 2022-07-15 /pmc/articles/PMC9470912/ /pubmed/36119957 http://dx.doi.org/10.4103/ijpvm.IJPVM_480_20 Text en Copyright: © 2022 International Journal of Preventive Medicine https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Ghajarzadeh, Mahsa Mirmosayyeb, Omid Molazadeh, Negar Sahraian, Mohammad Ali Bonavita, Simona Shaygannejad, Vahid Predictors of Catching COVID-19 Infection during Pandemic Stage in Patients with Multiple Sclerosis (MS) |
title | Predictors of Catching COVID-19 Infection during Pandemic Stage in Patients with Multiple Sclerosis (MS) |
title_full | Predictors of Catching COVID-19 Infection during Pandemic Stage in Patients with Multiple Sclerosis (MS) |
title_fullStr | Predictors of Catching COVID-19 Infection during Pandemic Stage in Patients with Multiple Sclerosis (MS) |
title_full_unstemmed | Predictors of Catching COVID-19 Infection during Pandemic Stage in Patients with Multiple Sclerosis (MS) |
title_short | Predictors of Catching COVID-19 Infection during Pandemic Stage in Patients with Multiple Sclerosis (MS) |
title_sort | predictors of catching covid-19 infection during pandemic stage in patients with multiple sclerosis (ms) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470912/ https://www.ncbi.nlm.nih.gov/pubmed/36119957 http://dx.doi.org/10.4103/ijpvm.IJPVM_480_20 |
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