Literature DB >> 32855290

Self-diagnosed COVID-19 in people with multiple sclerosis: a community-based cohort of the UK MS Register.

Nikos Evangelou1, Afagh Garjani2, Roshan dasNair3, Rachael Hunter4, Katherine A Tuite-Dalton5, Elaine M Craig5, William J Rodgers5, Alasdair Coles6, Ruth Dobson7, Martin Duddy8, David Vincent Ford5, Stella Hughes9, Owen Pearson10, Linda A Middleton11, David Rog12, Emma Clare Tallantyre13,14, Tim Friede15, Rodden M Middleton5, Richard Nicholas16,17.   

Abstract

Entities:  

Keywords:  epidemiology; multiple sclerosis

Year:  2020        PMID: 32855290      PMCID: PMC7803896          DOI: 10.1136/jnnp-2020-324449

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


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Introduction

In the early phases of the UK COVID-19 outbreak, in the absence of clear evidence about the risks for people with multiple sclerosis (pwMS) and those taking immunomodulatory disease-modifying therapies (DMT), we launched a community-based study as part of the UK MS Register (UKMSR). We intended to capture the picture of COVID-19 among pwMS and their risk of contracting the disease. Here, we report our findings from 17 March to 24 April 2020.

Methods

The COVID-19 study (clinicaltrials.gov:NCT04354519) is a prospective observational cohort launched on 17 March 2020 as part of the UKMSR (Ethics:16/SW/0194). PwMS completed a specific COVID-19 related survey which was combined with data held from before the pandemic where available. The primary outcome of the study is participant-reported self-diagnosis of COVID-19. Participants were asked if their diagnosis was confirmed by testing—the available test in the UK was reverse transcriptase-PCR. Participants reported if their sibling without MS, closest in age who was not living with them, had self-diagnosed COVID-19. The likelihood of having COVID-19 was assessed using multivariable regression analysis with the variables: age, gender, ethnicity, MS duration and type, self-isolation and DMTs. DMTs were considered after stratifying based on moderate-efficacy versus high-efficacy therapies (table 1). Disability was assessed using the last recorded web-based Expanded Disability Status Scale (webEDSS) or MS Impact Scale v2 (MSIS-29v2).
Table 1

Distribution of individual disease-modifying therapies (DMTs) among participants of the COVID-19 study

DMTTotal(n=3907), n (%)Self-diagnosed COVID-19(n=236), n (%)Confirmed COVID-19(n=37), n (%)
None2088 (53.4)116 (49.2)11 (29.7)
Beta-interferons*232 (5.9)11 (4.7)1 (2.7)
Glatiramer acetate*196 (5)18 (7.6)3 (8.1)
Dimethyl fumarate*446 (11.4)32 (13.6)7 (18.9)
Teriflunomide*93 (2.4)2 (0.8)0 (0)
Fingolimod*235 (6)15 (6.4)4 (10.8)
Siponimod3 (0.1)0 (0)0 (0)
Ocrelizumab†193 (4.9)14 (5.9)4 (10.8)
Natalizumab†231 (5.9)19 (8.1)5 (13.5)
Cladribine†73 (1.9)2 (0.8)0 (0)
Alemtuzumab†93 (2.4)5 (2.1)2 (5.4)
HSCT†2 (0.1)0 (0)0 (0)
Mitoxantrone†0 (0)0 (0)0 (0)
Others‡16 (0.4)2 (0.8)0 (0)
Unknown6 (0.2)0 (0)0 (0)

*Defined as moderate-efficacy DMTs.

†Defined as high-efficacy DMTs.

‡Including rituximab, ofatumumab, ublituximab, vedolizumab, ponesimod, azathioprine, mycophenolate mofetil and methotrexate.

HSCT, hematopoietic stem cell transplantation.

Distribution of individual disease-modifying therapies (DMTs) among participants of the COVID-19 study *Defined as moderate-efficacy DMTs. †Defined as high-efficacy DMTs. ‡Including rituximab, ofatumumab, ublituximab, vedolizumab, ponesimod, azathioprine, mycophenolate mofetil and methotrexate. HSCT, hematopoietic stem cell transplantation.

Results

As of 24 April, out of 3910 participants, 237 (6.1% (95% CI 5.3% to 6.8%)) reported self-diagnosed COVID-19 among whom 54 (22.8% (17.5% to 28.2%)) also had a diagnosis by a healthcare professional based on symptoms and 37 (15.6% (11.2% to 20.6%)) a confirmed diagnosis by testing. Three participants reported hospitalisation due to COVID-19. No deaths were reported. Among 1283 siblings without MS, 79 (6.2%) had a reported diagnosis of COVID-19. Adjusting for age and gender, the likelihood of contracting COVID-19 in pwMS was similar to siblings (OR 1.180 (0.888 to 1.569)). Seven hundred and fifty-nine of 3812 participants reported that they were self-isolating and that they had been self-isolating for at least 2 weeks before symptom onset if they had COVID-19. Of these, 2 (0.3% (0% to 0.7%)) had self-diagnosed COVID-19 whereas 137 of 3053 participants not self-isolating (4.5% (3.8% to 5.2%)) had the disease (p<0.001). Among participants with confirmed COVID-19, 94.6% (86.5% to 100%) were not self-isolating which was higher than those without the disease (79.9% (78.7% to 81.3%), p=0.023). Self-isolating participants were slightly older than those not self-isolating (p<0.001). A lower proportion of participants on DMTs were self-isolating compared with those not taking DMTs (18.1% (16.4% to 20%) vs 21.5% (19.6% to 23.3%), p=0.01). Rate of self-isolation in participants taking high-efficacy DMTs was similar to those not taking DMTs and higher than those taking moderate-efficacy DMTs (21.3% vs 21.4% and 16.5%, p=0.993 and p=0.014, respectively). More participants with progressive MS (PMS) were self-isolating compared with relapsing-remitting MS (RRMS) (23.2% (21% to 25.3%) vs 17.9% (16.3% to 19.5%), p<0.001). Using self-diagnosed and confirmed COVID-19 as outcomes, 3714 and 3618 participants were included in the regression analysis, respectively. Self-isolation predicted a lower likelihood of having self-diagnosed COVID-19 (OR 0.064 (0.016 to 0.259)) but not confirmed COVID-19. Participants on DMTs were less likely to have self-diagnosed COVID-19 (OR 0.640 (CI 0.428 to 0.957)), which remained significant after removing self-isolating participants (OR 0.633 (0.402 to 0.998)). High-efficacy DMTs reduced the likelihood of self-diagnosed COVID-19 compared with no DMTs (OR 0.540 (0.311 to 0.938)) but not compared with moderate-efficacy DMTs. There was no significant association between taking DMTs and having confirmed COVID-19. It was not possible to do a formal statistical test for the association between individual DMTs and COVID-19 due to small numbers (table 1). Younger age was associated with increased likelihood of having self-diagnosed (OR 1.043 (1.022 to 1.064)) and confirmed (OR 1.048 (1.009 to 1.087)) COVID-19. Participants with PMS were less likely to have self-diagnosed (OR 0.429 (0.241 to 0.763)) or confirmed (OR 0.119 (0.015 to 0.967)) COVID-19 compared with those with RRMS, but this effect disappeared after excluding participants who were self-isolating. Including webEDSS (n=2808) and physical MSIS-29v2 (n=3192) as additional predictors in the analysis showed no significant association with the likelihood of contracting COVID-19. The gender distribution was similar between participants with and without COVID-19. More participants with self-diagnosed COVID-19 reported themselves as having any ethnicity other than white compared with those without the disease (6.9% (3.9% to 10.1%) vs 3.8% (3.2% to 4.4%), p=0.019). Gender and ethnicity did not affect the likelihood of having COVID-19.

Discussion

We report initial findings of an ongoing community-based COVID-19 study in a large UK-wide population of pwMS which coincided with the peak of the COVID-19 outbreak in the UK.1 We show that pwMS taking immunomodulatory treatments do not have an increased risk of contracting COVID-19. We did not find individual DMTs to be noticeably over-represented among pwMS with COVID-19. The incidence of COVID-19 in our population of pwMS was not higher than that of the general population,2 and pwMS were not at a higher risk of having COVID-19 compared with their siblings without MS. The low hospitalisation rate in our population is possibly due to its patient-reported nature where hospitalised pwMS would fail to respond to the surveys. The observation that self-isolating pwMS had a lower risk of COVID-19 was not unexpected. We found older pwMS and those with PMS were less likely to have COVID-19. This could be because they were self-isolating more. Similar to previous reports, we found evidence that pwMS with any ethnicity other than white had a higher chance of contracting COVID-19,3 but larger numbers are required to confirm this. When this study launched, there was no accurate or accessible test to diagnose COVID-19. Therefore, we decided to set a diagnosis of COVID-19 made by participants, based on their symptoms, as the primary outcome of the study. This approach has also been adopted in other large-scale studies and is in line with the UK government policy not to seek medical advice for mild symptoms of COVID-19.4 5 In conclusion, during a period with strict precautions in place to prevent the spread of COVID-19, pwMS and those taking DMTs are not at an increased risk of contracting the disease.
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2.  Real-time tracking of self-reported symptoms to predict potential COVID-19.

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3.  Rapid implementation of mobile technology for real-time epidemiology of COVID-19.

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Journal:  Science       Date:  2020-05-05       Impact factor: 47.728

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1.  Increased risk of death from COVID-19 in multiple sclerosis: a pooled analysis of observational studies.

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2.  COVID-19 is associated with new symptoms of multiple sclerosis that are prevented by disease modifying therapies.

Authors:  Afagh Garjani; Rodden M Middleton; Rachael Hunter; Katherine A Tuite-Dalton; Alasdair Coles; Ruth Dobson; Martin Duddy; Stella Hughes; Owen R Pearson; David Rog; Emma C Tallantyre; Roshan das Nair; Richard Nicholas; Nikos Evangelou
Journal:  Mult Scler Relat Disord       Date:  2021-05-05       Impact factor: 4.808

3.  Pandemic forward: Lessons learned and expert perspectives on multiple sclerosis care in the COVID-19 era.

Authors:  Jacqueline A Nicholas; Robert K Shin; Enrique Alvarez; Barry Hendin; Kavita V Nair; Fred D Lublin
Journal:  Mult Scler Relat Disord       Date:  2020-12-24       Impact factor: 4.339

4.  Impact of the first COVID-19 pandemic wave on the Scottish Multiple Sclerosis Register population.

Authors:  Peter M Fernandes; Martin O'Neill; Patrick K A Kearns; Sinforosa Pizzo; Chrissie Watters; Stuart Baird; Niall J J MacDougall; David P J Hunt
Journal:  Wellcome Open Res       Date:  2020-11-25

5.  Recovery From COVID-19 in Multiple Sclerosis: A Prospective and Longitudinal Cohort Study of the United Kingdom Multiple Sclerosis Register.

Authors:  Afagh Garjani; Rodden M Middleton; Richard Nicholas; Nikos Evangelou
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2021-11-30

6.  Associations of Disease-Modifying Therapies With COVID-19 Severity in Multiple Sclerosis.

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Review 10.  Emerging COVID-19 Neurological Manifestations: Present Outlook and Potential Neurological Challenges in COVID-19 Pandemic.

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