| Literature DB >> 35001198 |
Xavier Montalban1, Jaume Sastre-Garriga1, Alvaro Cobo-Calvo2, Ana Zabalza1, Jordi Río1, Georgina Arrambide1, Susana Otero-Romero1, Paula Tagliani1, Simón Cárdenas-Robledo1, Mireia Castillo1, Carmen Espejo1, Marta Rodriguez1, Pere Carbonell1, Breogán Rodríguez1, Luciana Midaglia1, Ángela Vidal-Jordana1, Carmen Tur1, Ingrid Galan1, Joaquín Castillo1, Manuel Comabella1, Carlos Nos1, Cristina Auger3, Mar Tintoré1, Àlex Rovira3.
Abstract
INTRODUCTION: To evaluate the impact of the COVID-19 pandemic on (1) number of clinical visits, (2) magnetic resonance (MR) scans, and (3) treatment prescriptions in a multiple sclerosis (MS) referral centre.Entities:
Keywords: COVID-19; Multiple sclerosis; SARS-CoV-2; Standards of care
Mesh:
Year: 2022 PMID: 35001198 PMCID: PMC8743162 DOI: 10.1007/s00415-021-10958-z
Source DB: PubMed Journal: J Neurol ISSN: 0340-5354 Impact factor: 6.682
Fig. 1Distribution of visits, according to 2020 year and control periods. a Total number of clinical visits in 2020, and control periods 2018 and 2019. b Longitudinal dynamics of the monthly number of visits during the study period. *Dash lines represent ± 2 standard deviations the mean number of clinical visits during the whole study period
Fig. 2Distribution of magnetic resonance scans, according to 2020 year and control periods. a Total number of magnetic resonance scans in 2020, and control periods 2018 and 2019. b Longitudinal dynamics of the monthly number of magnetic resonances during the study period. *Dash lines represent ± 2 standard deviations the mean number of magnetic resonance scans during the whole study period
Fig. 3Distribution of new treatment prescriptions, according to 2020 and control periods. a Total number of new treatment prescriptions in 2020, and control periods 2018 and 2019. b Longitudinal dynamics of the monthly number of new treatment prescriptions during the study period. *Dash lines represent ± 2 standard deviations the mean number new treatment prescriptions during the whole study period
Number of monthly prescriptions of different therapy groups throughout the study period
| Therapy | 2018 | 2019 | 2020 | 2021f | Whole study periodg |
|---|---|---|---|---|---|
| First linea | 11.8 (5.3) | 12.7 (4.67) | 10.3 (3.91) | 11.2 (4.02) | 11.6 (4.64) |
| Anti-CD20b | 5.7 (2.39) | 13.8 (6.70) | 9.8 (4.47) | 6.4 (3.71) | 9.8 (5.80) |
| Other second linec | 5.5 (2.64) | 3.5 (1.51) | 4.1 (1.92) | 5.6 (2.07) | 4.4 (2.19) |
| Natalizumabd | 1.1 (0.99) | 1.0 (1.13) | 1.8 (1.27) | 2.6 (1.82) | 1.3 (1.17) |
| All therapiese | 23.0 (7.97) | 30 (6.98) | 24.1 (6.99) | 23.2 (45) | 25.7 (7.77) |
All reported values are: mean (standard deviation)
aFirst-line therapies include interferon, acetate glatiramer, teriflunomide, and dimethyl fumarate
bAnti-CD20 therapies include rituximab and ocrelizumab
cOther second-line therapies include natalizumab, fingolimod, cladribine, and alemtuzumab
dOnly natalizumab prescriptions
eAll therapies include first-line, anti-CD20 and other second-line therapies
fIncludes data from January 1 to May 31, 2021
gIncludes data from 2018, 2019, and 2020
Fig. 4Longitudinal dynamics of new treatment prescription, according to type of treatment prescription. a First-line treatments. b Anti-CD20 drugs. c Other second-line treatment. d Natalizumab treatment. *In figure c, other second-line treatment comprises natalizumab, fingolimod, cladribine and alemtuzumab. **Dash lines represent ± 2 standard deviations the mean number of new treatment prescriptions during the whole study period