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096  COVID-19 in MS: clinically reported outcomes from the UK MS register
  1. Rod Middleton1,
  2. Elaine Craig1,
  3. William Rodgers1,
  4. Katie Tuite-Dalton1,
  5. Afagh Garjani2,
  6. Nikos Evangelou3,
  7. Rachael Hunter4,
  8. Roshan DasNair5,
  9. Richard Nicholas6
  1. 1Population Data Science, Swansea University Medical School
  2. 2Department of Neurology, Nottingham University Hospitals
  3. 3Division of Clinical Neuroscience, University of Nottingham
  4. 4College of Human and Health Sciences, Swansea University
  5. 5Division of Psychiatry and Applied Psychology, University of Nottingham
  6. 6Department of Translational Neuroscience, Imperial College London Faculty of Medicine

Abstract

Background The UK MS Register (UKMSR) has been capturing longitudinal clinical and patient reported outcomes (PROs) since 2011. As the UK population ‘locked-down’ in March 2020 it became important that clinicians could record hospitalised MS patients due to COVID-19 and record outcome. The UKMSR provided an electronic case return form, designed collaboratively by the community.

Aim Impacts of disability, age and treatment on mortality in pwMS with COVID-19

Method Linear modelling and standardised hypothesis testing were performed on an outcome of died or not, impact of disability (EDSS), disease modifying therapies and age.

Results N=132 PCR confirmed COVID-19 patients submitted, 14 missing EDSS, leaving n=118. Female n=80, n relapsing =74, n progressive = 44, mean age 49.2. Median EDSS = 5.0. Linear regression for age was found to be most significant for outcome (p=0.002). Univariate analysis found that the outcome was not independent of EDSS (ChiSq p=0.0008), DMT (ChiSq p=0.006) and MSType (ChiSq p=0.0006). In the multivariate model only, age remained significant.

Conclusions Only age remained as a marker of poor outcome multivariate analysis. No MS Specific characteristics were found to be significant. We would encourage continued data collection from UK neurology centres to increase the utility of this data.

r.m.middleton@swansea.ac.uk

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