Is disease-modifying therapy use in multiple sclerosis a risk factor during the COVID-19 pandemic? A large cohort study
-
Copyright
© 2024 PRO MEDICINA Foundation, Published by PRO MEDICINA Foundation
User License
The journal provides published content under the terms of the Creative Commons 4.0 Attribution-International Non-Commercial Use (CC BY-NC 4.0) license.
Authors
Objective: This study aims to investigate
the relationship between disease-modifying therapies
(DMTs) used in people with MS (pwMS) and the risk of COVID-19 infection.
Methods: This longitudinal cohort study included the MS cohort of 3402 people
followed for COVID-19 infection. The whole MS cohort was interviewed at least
once for information about COVID-19. A semi-structured interview was developed
and performed by a team consisting of a medical doctor, nurse, and physiotherapist. Clinical
information was obtained from the patient's medical records.
This study was approved by the Noninvasive Research Ethics Board (Date: 08.09.2021, Decision No: 2021/25-06).
Results: Of the 487 pwMS infected with COVID-19, 35 reported reinfections. The major
differences regarding DMT between pwMS with and without COVID-19 infection were
observed for fingolimod, ocrelizumab, and azathioprine. Forty-three (8.9%)
people experienced the COVID-19 infection severely or critically; 12 (37.5%)
had MS treatment with ocrelizumab. Fifty percent of pwMS who were treated in
intensive care (7/14 patients) and died (3/6 patients) were being treated with
ocrelizumab. As a result of regression analysis, being younger and using
dimethyl fumarate, fingolimod, ocrelizumab, and cladribine DMTs were the main
factors associated with having COVID-19 infection group.
Conclusions: Current results show that disability due to MS and increased disease duration are not risk factors for COVID-19 infection, while age is negatively associated with contracting COVID-19 infection. These results show no relationship between the MS clinic and COVID-19 infection. We have found that using certain DMTs in pwMS increases the risk of contracting COVID-19 infection.
Highlights
·
MS-related disability and increased
disease duration are not risk factors for COVID-19.
·
There is a negative relationship between
age and contracting COVID-19.
·
The use of dimethyl fumarate, cladribine,
fingolimod, and ocrelizumab in pwMS increases the risk of exposurig COVID-19.
1. Introduction
The coronavirus disease 2019 (COVID-19), caused by
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was declared a
global health emergency on January 30, 2020, and a pandemic on March 11, 2020,
by the World Health Organization. As of May 2022, the number of COVID-19
confirmed cases worldwide has been reported as ∼510 million, and the number of confirmed cases in
Turkey has been reported as 14 million
Immunocompromised patients infected with COVID-19,
especially those with comorbidities, may have a higher risk for severe outcomes
than the general population
Multiple sclerosis (MS) is a chronic central nervous
system inflammatory disease of autoimmune etiology, mediated by activated T
cells with evolving evidence of a significant contribution from B cells and
cells of the innate immune system
In addition to the effects of drugs used in the
treatment of MS, changes in the immune system and brain pathophysiology in MS
also affect the susceptibility to COVID-19 infection and the clinical course.
Although the differences between the mechanisms of action of DMTs affect the
risk of infection to different extents, in general, MS guidelines recommend the
continuation of DMTs to prevent the activity of the disease
In this study, we aimed to assess the relationship
between DMTs used in pwMS and the risk of COVID-19 transmission. The data
obtained aims to contribute to the treatment management of pwMS in cases of new
COVID-19 variants or similar epidemic situations that may develop in the
future.
2.
Methods
2.1.
Design
This study has a retrospective cohort. The necessary
permissions for this study were obtained from the Ministry of Health of the
Republic of Turkey and Dokuz Eylul University Noninvasive Clinical Research Ethics Committee (Date: 08.09.2021,
Decision No: 2021/25-06). Participants were informed at the beginning of the
telephone interview, and their verbal consent was obtained. This study followed the Strengthening the Reporting of
Observational Studies in Epidemiology (STROBE) Statement
2.2.
Participants
The interview
process (data collection) with pwMS, which started with the pandemic (March
2020), ended in April 2022. PwMS, which was followed up at the Dokuz Eylul
University and met the inclusion criteria, were included in the study. Inclusion
criteria were: (1) being over the age of 18 and (2) being definitively
diagnosed with MS or clinically isolated syndrome, according to the McDonald
diagnostic criteria
2.3.
Procedure
Since the first case was seen in Turkey, the cases of
COVID-19 infection of the patients in our unit were closely followed. The
entire MS Cohort was interviewed at least once face-to-face, via text message,
or by phone for information about COVID-19. In addition, patients were asked to
inform the unit if they had a COVID-19 infection. A healthcare professional conducted a semi-structured
telephone interview with all patients with COVID-19 infection, and detailed
information about the COVID-19 infection processes was obtained. Demographic
data of pwMS experiencing COVID-19 infection was obtained from patient-provided
information; clinical information was obtained from patient-provided
information and medical records. In addition, demographic and clinical
information of pwMS who did not experience COVID-19 infection were obtained
from medical records. The course of COVID-19 was classified as asymptomatic,
mild, severe, and critical. Mild was used to identify outpatients with few
symptoms, severe was used to identify hospitalized, and critical was used to
identify patients in intensive care.
2.4.
Outcomes
Demographic
and clinical measurement. Age,
gender, MS type, disease duration, Expanded Disability Status Scale (EDSS)
Semi-structured
interview. The semi-structured
interview content was planned in three sessions by a healthcare team of medical
doctors, nurses, psychologists, and physiotherapists. In the first session,
experts discussed the interview content based on their preliminary studies and
created 50 questions. Voting took place to determine the most relevant
questions in the next session. In the last session, the questions were
discussed for the last time, and the team approved the 34 most relevant
questions. The questions included details of the COVID-19 process, such as
COVID-19 course, pneumonia, hospitalization or intensive care, outpatient use
of drugs, and symptoms observed during COVID-19. The interviews were conducted
by a healthcare professional working in the MS clinic.
2.5. Sample size and
Statistical analysis
We aimed to reach the entire universe, which is why, due
to the study design (retrospective cohort), pwMS were followed up routinely in
the Multiple Sclerosis Unit of Dokuz Eylul University Hospital Neurology
Department.
The pwMS met all inclusion criteria.
Data were analyzed
using IBM SPSS Statistics for Windows, version 26 (IBM Corp., Armonk, NY;
2019). Descriptive analyses were presented as percentages and mean (SD) for
continuous and categorical variables. Kruskal-Wallis Test was used to compare the clinical
and demographic characteristics of the pwMS with and without COVID-19
infection. Univariate and multivariate logistic regression were used to explain
the relationship between having COVID-19 infection and age, disability level
(assessed with EDSS), disease duration, type of MS, and using DMTs.
3. Results
Of 3402 pwMS registered in our MS center, 487 got COVID-19 infection.
The pwMS with COVID-19 infection have lower EDSS scores, disease duration, and
age than those without COVID-19. Also, the COVID-19 MS cohort group has a
higher rate of CIS and relapsing type of MS, while the MS cohort has a higher
rate of a progressive form of MS (Table 1).
The majority of our MS cohort used interferon, glatiramer acetate, and
fingolimod. Compared to the clinical MS population, a higher rate of pwMS
infected with COVID-19 used interferon, glatiramer acetate, and ocrelizumab.
The distribution of DMTs is presented in Table 2.
Out of 487 pwMS with COVID-19 infection, six died. Half of the dead pwMS
were using ocrelizumab treatment during infection. Moreover, the pwMS who use
ocrelizumab treatment had higher rates of severe/critical illness,
hospitalization, intensive care, oxygen support, and mechanical ventilation.
These rates were also higher in the COVID-19 reinfection group. In the first infection, 205
(42.1%) people used COVID-19-specific medication (favipiravir); also, in the
second infection, four people used it. The detailed information is shown
in Table 3. A
comparison of EDSS scores between pwMS with and without COVID-19 infection
according to DMTs is shown in Table 4.
Table
1. Demographic and clinical characteristics of the participants |
||||
|
|
COVID-19 MS Cohort (n=487) |
MS Cohort (n=3402) |
P Value |
Age,
years |
Mean (SD) |
40.3 (11.4) |
44.8 (12.6) |
<0.001 |
Range |
18-81 |
18-90 |
||
Sex,
n (%)
|
Female |
342 (70.2%) |
(68.8%) |
0.439 |
Male |
145 (29.8%) |
(31.2%) |
||
Clinical
phenotype, n (%) |
Clinical Isolated Syndrome |
11 (2.3%) |
(7.2) |
<0.001 |
Relapsing remitting MS |
425 (87.3%) |
(77.3%) |
||
Secondary progressive MS |
39 (8.0%) |
(11.9%) |
||
Primary progressive MS |
12 (2.5%) |
(3.6%) |
||
MS
disease duration, years |
Mean (SD) |
10.7 (8.2) |
14.0 (9.0) |
<0.001 |
Range |
0-46 |
0-55 |
||
EDSS
of last visit |
Mean (SD) |
1.7 (2.0) |
2.27 (2.33) |
<0.001 |
Range |
0-8.5 |
0-9.5 |
||
Significant p values are
presented in bold. EDSS: Expanded Disability
Status Scale; SD: standard deviation. |
Table
2. Distribution of DMTs’ in pwMS with and without COVID-19 Infection |
||
|
MS Cohort (%) |
COVID-19 MS Cohort (%) |
None |
9.9 |
4.3 |
Interferon
and Glatiramer acetate |
35.5 |
21.8 |
Fingolimod |
25.7 |
34.1 |
Natalizumab |
3.8 |
4.9 |
Ocrelizumab |
10.5 |
16.4 |
Teriflunomide |
6.2 |
7.2 |
Dimethyl
fumarate |
4.5 |
7.4 |
Cladribine |
1.0 |
2.3 |
Rituximab |
0.8 |
0.4 |
Azathioprine |
1.9 |
1 |
Phase
3 drug study |
0.2 |
0.2 |
Table
3. COVID-19 Course by MS Treatment |
||||||
|
COVID-19 Infection (n= 487) |
MS Treatment |
COVID-19 Reinfection (n= 35) |
MS Treatment |
||
Death, n (%) |
6 (1.2%) |
Ocrelizumab |
3
(50.0%) |
0 |
0 |
|
Teriflunomide |
1
(16.7%) |
|||||
Glatiramer acetate |
1
(16.7%) |
|||||
None |
1
(16.7%) |
|||||
Severe/Critically ill, n (%) |
43 (8.9%) |
Ocrelizumab |
12 (37.5%) |
3 (8.4%) |
Ocrelizumab |
3 (100%) |
Fingolimod |
7 (21.9%) |
|||||
None |
3 (9.4%) |
|||||
Interferon |
3 (9.4%) |
|||||
Teriflunomide |
3 (9.4%) |
|||||
Glatiramer acetate |
2 (6.3%) |
|||||
Dimethyl fumarate |
1 (3.1%) |
|||||
Natalizumab |
1 (3.1%) |
|||||
Pneumonia, n (%) |
18 (3.7%) |
Glatiramer acetate |
4 (22.2%) |
2 (5.6%) |
Fingolimod |
1 (50%) |
Teriflunomide |
3 (16.7%) |
|||||
Ocrelizumab |
3 (16.7%) |
|||||
None |
3 (16.7%) |
Ocrelizumab |
1 (50%) |
|||
Interferon |
2 (11.1%) |
|||||
Dimethyl fumarate |
1 (5.6%) |
|||||
Fingolimod |
1 (5.6%) |
|||||
Natalizumab |
1 (5.6%) |
|||||
Hospitalization, n (%) |
32 (6.6%) |
Ocrelizumab |
12 (37.5%) |
3 (8.3%) |
Ocrelizumab |
3 (100%) |
Fingolimod |
7 (21.9%) |
|||||
Teriflunomide |
3 (9.4%) |
|||||
None |
3 (9.4%) |
|||||
Interferon |
3 (9.4%) |
|||||
Glatiramer acetate |
2 (6.3%) |
|||||
Natalizumab |
1 (3.1%) |
|||||
Dimethyl fumarate |
1 (3.1%) |
|||||
Intensive Care, n (%) |
14 (2.9%) |
Ocrelizumab |
7 (50%) |
2 (5.6%) |
Ocrelizumab |
2 (100%) |
None |
2 (14.3%) |
|||||
Fingolimod |
2 (14.3%) |
|||||
Glatiramer acetate |
1 (7.1%) |
|||||
Teriflunomide |
1 (7.1%) |
|||||
Dimethyl fumarate |
1 (7.1%) |
|||||
Oxygen Support, n (%) |
24 (4.9%) |
Ocrelizumab |
9 (37.5) |
3 (8.6%) |
Ocrelizumab |
1 (50%) |
Fingolimod |
5 (20.8%) |
|||||
None |
2 (8.3%) |
|||||
Interferon |
2 (8.3%) |
|||||
Glatiramer acetate |
2 (8.3%) |
|||||
Teriflunomide |
2 (8.3%) |
|||||
Dimethyl fumarate |
1 (4.2%) |
|||||
Natalizumab |
1 (4.2%) |
|||||
Mechanical Ventilation, n (%) |
9 (1.8%) |
Ocrelizumab |
5 (55.6%) |
1 (2.9%) |
Ocrelizumab |
1 (50%) |
None |
2 (22.2%) |
|||||
Glatiramer acetate |
1 (11.1%) |
|||||
Teriflunomide |
1 (11.1%) |
|||||
*Participants could be placed in more than one
classification |
Table 4. Comparison of EDSS score between groups according to DMTs |
|||
|
EDSS score – MS Cohort |
EDSS score – COVID-19 MS
Cohort |
p |
None |
2.60 (2.82) |
1.73 (2.48) |
0.451 |
Injection |
1.76 (2.01) |
0.79 (1.12) |
<0.001 |
Teriflunomide |
1.90 (2.06) |
1.11 (1.25) |
0.088 |
Dimethyl fumarate |
1.64 (1.65) |
0.97 (1.27) |
0.017 |
Fingolimod |
1.83 (1.86) |
1.34 (1.43) |
0.008 |
Natalizumab |
1.91 (1.69) |
1.37 (0.94) |
0.281 |
Ocrevus |
5.03 (2.03) |
4.70 (2.09) |
0.335 |
Cladribine |
0.76 (1.01) |
0.77 (0.90) |
0.867 |
Azathioprine |
5.94 (1.97) |
- |
- |
Table 5. Logistic regression analysis of factors associated with having
COVID-19 infection |
||||||
|
having COVID-19 infection |
|||||
Univariate |
Multivariate |
|||||
Risk Factors |
OR |
95.0% CI |
P value |
OR |
95.0% CI |
P value |
Age |
1.029 |
1.021 1.038 |
<0.001 |
-1.021 |
1.010-1.032 |
<0.001 |
EDSS |
1.120 |
1.067-1.174 |
<0.001 |
-1.039 |
0.983-1.097 |
0.176 |
Disease duration |
1.036 |
1.023-1.049 |
<0.001 |
-1.014 |
0.998-1.030 |
0.094 |
Type of MS (references: CIS) |
||||||
RRMS |
5.634 |
2.628-12.082 |
<0.001 |
2.962 |
0.810-10.826 |
0.101 |
SPMS |
3.397 |
1.487-7.761 |
0.004 |
3.504 |
0.915-13.421 |
0.067 |
PPMS |
3.409 |
1.297-8.963 |
0.013 |
3.010 |
0.733-12.361 |
0.126 |
MS treatment
(references: none) |
||||||
Injection (Interferon+Glatiramer
acetate) |
2.737 |
1.450-5.165 |
0.002 |
1.124 |
0.388-3.261 |
0.829 |
Teriflunomide |
5.755 |
2.845-11.641 |
<0.001 |
2.634 |
0.871-7.966 |
0.086 |
Dimethyl
fumarate |
9.629 |
4.728-19.609 |
<0.001 |
3.404 |
1.113-10.411 |
0.032 |
Fingolimod |
6.765 |
3.613-12.666 |
<0.001 |
2.927 |
1.016-8.436 |
0.047 |
Natalizumab |
7.566 |
3.601-15.898 |
<0.001 |
3.012 |
0.969-9.358 |
0.057 |
Ocrevus |
8.499 |
4.417-16.352 |
<0.001 |
7.040 |
2.464-20.115 |
<0.001 |
Cladribine |
13.789 |
5.297-35.896 |
<0.001 |
4.636 |
1.273-16.879 |
0.020 |
Azathioprine |
0.000 |
0.000- |
0.997 |
0.000 |
0.000- |
0.997 |
Significant p values are
presented in bold. RRMS: relapsing-remitting
multiple sclerosis; SPMS: secondary progressive multiple sclerosis; PPMS:
primary progressive multiple sclerosis; EDSS: Expanded Disability Status
Scale
|
Based on the multivariate
logistic regression analysis, being younger and using dimethyl fumarate,
fingolimod, ocrelizumab, and cladribine DMTs were the main factors associated
with having COVID-19 infection group. Table 5 presents the logistic regression
analysis evaluating factors associated with having COVID-19 infection.
4.
Discussion
In this study, we found that
the younger age and DMT (dimethyl fumarate, cladribine, fingolimod, and
ocrelizumab) are associated with increased odds of contracting COVID-19
infection, while MS type, disease duration and EDSS score are not. We
speculated that younger people are inclined to socialize and be active in work
life, making them susceptible to exposure to COVID-19. Although we cannot
compare young and old pwMS for COVID-19, as our participants mostly reported a
mild course of COVID-19, our data support such a trend.
As a result of regression
analysis, patients treated with dimethyl fumarate, cladribine, fingolimod, and ocrelizumab
have a higher risk of exposure to COVID-19 infection compared to those without
treatment. Considering the EDSS distributions according to drugs, we found that
the EDSS scores of people who used dimethyl fumarate and fingolimod who had
COVID-19 were statistically significantly lower than those who did not. Louapre
et al. investigated which factors are associated with COVID-19 severity
We are aware that we have a major limitation in being unable to present
work/socialization situations for our entire cohort. However, the difference
between EDSS levels will help to predict this information. We theorize that
people using dimethyl fumarate, cladribine, and fingolimod are more socialized
with lower EDSS scores, so it may seem like they are at risk for more COVID-19
infections. On the other hand, there are two reasons for the higher incidence
of COVID-19 in the ocrelizumab patient group, which has more progressive forms
and, therefore, higher EDSS scores. First, these people had to come to our
center under all circumstances, that is, leave the house, in order to receive
ocrelizumab treatment. Second, ocrelizumab treatment modulates the immune
response to cause a more severe – and possibly easier – COVID-19 transmission.
Lymphopenia may develop due to dimethyl fumarate and cladribine, which
may increase the risk of infection
Ocrelizumab is associated
with B cell depletion and an
increased risk of severe infections in MS
Dyczkowska ve Kalinowska-Łyszczarz emphasizes that, due to inconsistent
evidence of relapses and worsening disability, the effects of COVID-19 in pwMS
are still unknown, and for clinicians caring for people with MS, an
individualized approach to risks and benefits is needed in decision-making
during the COVID-19 pandemic
Our study has some strengths
and limitations. First, this is a large cohort study; contacting our whole
cohort is our strength. In
addition, although it is a single-center study, the standardization of
treatment approaches and, thus, the reliability of our data increases the power
of the study. One of the most important limitations of our study is that
the working/socialization status of the pwMS during the pandemic was not
recorded and, therefore, could not be reported in detail. Another important
limitation is the absence of a healthy control group and the lack of
immunological responses.
5.
Conclusion
Current results show that disability due to MS
and increased disease duration are not risk factors for COVID-19 infection,
while age is negatively associated with contracting COVID-19 infection. In
addition, no significant relationship was found between the types of MS
clinics. These results show no relationship between the MS clinic and COVID-19
infection. We have found that using certain DMTs in pwMS increases the risk of
contracting COVID-19 infection. However, given that DMTs are indispensable in
MS and the potential risk posed by COVID-19 is far less significant than the
possible irreversible disability of MS, this risk is negligible. Considering
this information, we consider it appropriate to continue with DMTs. This experience gained during
the pandemic sheds light on how to act in possible epidemics or pandemics where
the continuation of treatments is controversial.
Abbreviations
COVID-19: coronavirus disease 2019, EDSS:
Expanded Disability Status
Scale, MS:
multiple sclerosis, pwMS:
people with multiple sclerosis.
Acknowledgements
This study was sponsored
by the Multiple Sclerosis Research Society, to whom we are most grateful.
Authors’
contributions
SO
was responsible conceptualization, methodology, ınvestigation, resources, data
curation, writing-review & editing, visualization, and project
administration.
IY
and ATO was responsible conceptualization, methodology, formal analysis,
ınvestigation, resources, data curation, writing-original draft, and
visualization.
CB and US and was responsible conceptualization, methodology, ınvestigation, data curation, writing-review&editing, and visualization.
Funding
The authors received no financial support for the
research, authorship, and/or publication of this article.
Availability
of data and materials
The datasets generated
and analysed in the current study are available from the corresponding author
on reasonable request.
Conflicting
of Interests
The author(s) declared no
potential conflicts of interest with respect to the research, authorship,
and/or publication of this article.
Ethics
approval and consent to participate
Ethical permissions for
the study were obtained from the Republic of Dokuz Eylul Ministry of Health and Dokuz Eylul University Noninvasive Clinical Research Ethics Committee (Date: 08.09.2021,
Decision No: 2021/25-06). All ethical rules and regulations were
followed while conducting the study and the participants were included in the
study based on informed consent. This study was conducted in accordance with
the guidelines outlined in the declaration of Helsinki.
Consent
for publication
Not applicable.
Competing
interests
The authors completed the ICMJE Form for Disclosure of Potential Conficts of Interest and reported no conficts of interest concerning authorship, research, or publication of this article.
1. World
Health Organization WHO Coronavirus (COVID-19) Dashboard
2.
Republic of Turkey Ministry of Health COVID-19 Information Platform
3. Wei J,
Zhao J, Han M, et al (2020) SARS-CoV-2 infection in immunocompromised patients:
Humoral versus cell-mediated immunity. J Immunother Cancer 8:.
https://doi.org/10.1136/jitc-2020-000862
4. Boziki
MK, Mentis AFA, Shumilina M, et al (2020) COVID-19 immunopathology and the
central nervous system: Implication for multiple sclerosis and other autoimmune
diseases with associated demyelination. Brain Sci 10:.
https://doi.org/10.3390/brainsci10060345
5. Yamout
BI, Alroughani R (2018) Multiple Sclerosis. Semin Neurol 38:212–225.
https://doi.org/10.1055/s-0038-1649502
6. Ciotti
JR, Grebenciucova E, Moss BP, Newsome SD (2020) Multiple Sclerosis
Disease-Modifying Therapies in the COVID-19 Era. Ann Neurol 88:1062–1064.
https://doi.org/10.1002/ana.25907
7. Zen M,
Fuzzi E, Astorri D, et al (2020) SARS-CoV-2 infection in patients with
autoimmune rheumatic diseases in northeast Italy: A cross-sectional study on
916 patients. J Autoimmun 112:. https://doi.org/10.1016/j.jaut.2020.102502
8. Yigit
P, Kaya E, Abasiyanik Z, Sagici O (2021) Attitudes of Patients with Multiple
Sclerosis Towards Disease and Physical Activity Behaviors During the COVID-19
Pandemic. Journal of Multiple Sclerosis Research 1:84–89.
https://doi.org/10.4274/jmsr.galenos.2022.2022-1-2
9. Celius
EG (2017) Infections in patients with multiple sclerosis: Implications for
disease-modifying therapy. Acta Neurol Scand 136:34–36
10. Fan M, Qiu W, Bu
B, et al (2020) Risk of COVID-19 infection in MS and neuromyelitis optica
spectrum disorders. Neurology(R) neuroimmunology & neuroinflammation 7:.
https://doi.org/10.1212/NXI.0000000000000787
11. Fernandez-Ruiz R,
Masson M, Kim MY, et al (2020) Leveraging the United States Epicenter to
Provide Insights on COVID-19 in Patients With Systemic Lupus Erythematosus.
Arthritis and Rheumatology 72:1971–1980. https://doi.org/10.1002/art.41450
12. Ciotti JR,
Valtcheva M v., Cross AH (2020) Effects of MS disease-modifying therapies on
responses to vaccinations: A review. Mult Scler Relat Disord 45
13. von Elm E, Altman
DG, Egger M, et al (2007) PLoS Medicine | www.plosmedicine.org. 4:296.
https://doi.org/10.1371/journal.pmed
14. Thompson AJ,
Banwell BL, Barkhof F, et al (2018) Diagnosis of multiple sclerosis: 2017
revisions of the McDonald criteria. Lancet Neurol 17:162–173
15. Kurtzke John F
(1983) Rating neurologic impairment in multiple sclerosis: an expanded
disability status scale (EDSS). Neurology 33:1444–1452.
https://doi.org/10.1212/wnl.33.11.1444
16. Louapre C,
Collongues N, Stankoff B, et al (2020) Clinical Characteristics and Outcomes in
Patients With Coronavirus Disease 2019 and Multiple Sclerosis. JAMA Neurol
77:1079. https://doi.org/10.1001/jamaneurol.2020.2581
17. Rammohan K, Coyle
PK, Sylvester E, et al (2020) The Development of Cladribine Tablets for the
Treatment of Multiple Sclerosis: A Comprehensive Review. Drugs 80:1901–1928.
https://doi.org/10.1007/s40265-020-01422-9
18. Mills EA, Ogrodnik
MA, Plave A, Mao-Draayer Y (2018) Emerging Understanding of the Mechanism of
Action for Dimethyl Fumarate in the Treatment of Multiple Sclerosis. Front
Neurol 9:. https://doi.org/10.3389/fneur.2018.00005
19. Reder AT, Centonze
D, Naylor ML, et al (2021) COVID-19 in Patients with Multiple Sclerosis:
Associations with Disease-Modifying Therapies. CNS Drugs 35:317–330.
https://doi.org/10.1007/s40263-021-00804-1
20. Sullivan R, Kilaru
A, Hemmer B, et al (2022) COVID-19 Infection in Fingolimod- or
Siponimod-Treated Patients. Neurol Neuroimmunol Neuroinflamm 9:.
https://doi.org/10.1212/NXI.0000000000001092
21. Cabreira V, Abreu
P, Soares-dos-Reis R, et al (2021) Multiple Sclerosis, Disease-Modifying
Therapies and COVID-19: A Systematic Review on Immune Response and Vaccination
Recommendations. Vaccines (Basel) 9:773. https://doi.org/10.3390/vaccines9070773
22. Montalban X,
Hauser SL, Kappos L, et al (2017) Ocrelizumab versus Placebo in Primary
Progressive Multiple Sclerosis. New England Journal of Medicine 376:209–220.
https://doi.org/10.1056/NEJMoa1606468
23. Hauser SL, Bar-Or
A, Comi G, et al (2017) Ocrelizumab versus Interferon Beta-1a in Relapsing
Multiple Sclerosis. New England Journal of Medicine 376:221–234.
https://doi.org/10.1056/nejmoa1601277
24. Hughes R, Whitley
L, Fitovski K, et al (2021) COVID-19 in ocrelizumab-treated people with
multiple sclerosis. Mult Scler Relat Disord 49:.
https://doi.org/10.1016/j.msard.2020.102725
25. de Mercanti SF,
Vercellino M, Bosa C, et al (2021) Case Report: Covid-19 in Multiple Sclerosis
Patients Treated With Ocrelizumab: A Case Series. Front Neurol 12:.
https://doi.org/10.3389/fneur.2021.691616
26. Sormani MP,
Salvetti M, Labauge P, et al (2021) DMTs and Covid‐19 severity in MS: a pooled analysis from Italy and France.
Ann Clin Transl Neurol 8:1738–1744. https://doi.org/10.1002/acn3.51408
27. Dyczkowska K,
Kalinowska-Łyszczarz A (2023) Navigating the landscape of COVID-19 for Multiple
Sclerosis patients and clinicians. Neurol Neurochir Pol 57:90–100.
https://doi.org/10.5603/PJNNS.a2023.0004