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Clinical Characteristics and Outcomes in Patients With Coronavirus Disease 2019 and Multiple Sclerosis
Open accessAbstract
Importance: Risk factors associated with the severity of coronavirus disease 2019 (COVID-19) in patients with multiple sclerosis (MS) are unknown. Disease-modifying therapies (DMTs) may modify the risk of developing a severe COVID-19 infection, beside identified risk factors such as age and comorbidities. Objective: To describe the clinical characteristics and outcomes in patients with MS and COVID-19 and identify factors associated with COVID-19 severity. Design, Setting, and Participants: The Covisep registry is a multicenter, retrospective, observational cohort study conducted in MS expert centers and general hospitals and with neurologists collaborating with MS expert centers and members of the Société Francophone de la Sclérose en Plaques. The study included patients with MS presenting with a confirmed or highly suspected diagnosis of COVID-19 between March 1, 2020, and May 21, 2020. Exposures: COVID-19 diagnosed with a polymerase chain reaction test on a nasopharyngeal swab, thoracic computed tomography, or typical symptoms. Main Outcomes and Measures: The main outcome was COVID-19 severity assessed on a 7-point ordinal scale (ranging from 1 [not hospitalized with no limitations on activities] to 7 [death]) with a cutoff at 3 (hospitalized and not requiring supplemental oxygen). We collected demographics, neurological history, Expanded Disability Severity Scale score (EDSS; ranging from 0 to 10, with cutoffs at 3 and 6), comorbidities, COVID-19 characteristics, and outcomes. Univariate and multivariate logistic regression models were used to estimate the association of collected variables with COVID-19 outcomes. Results: A total of 347 patients (mean [SD] age, 44.6 [12.8] years, 249 women; mean [SD] disease duration, 13.5 [10.0] years) were analyzed. Seventy-three patients (21.0%) had a COVID-19 severity score of 3 or more, and 12 patients (3.5%) died of COVID-19. The median EDSS was 2.0 (range, 0-9.5), and 284 patients (81.8%) were receiving DMT. There was a higher proportion of patients with a COVID-19 severity score of 3 or more among patients with no DMT relative to patients receiving DMTs (46.0% vs 15.5%; P < .001). Multivariate logistic regression models determined that age (odds ratio per 10 years: 1.9 [95% CI, 1.4-2.5]), EDSS (OR for EDSS ≥6, 6.3 [95% CI. 2.8-14.4]), and obesity (OR, 3.0 [95% CI, 1.0-8.7]) were independent risk factors for a COVID-19 severity score of 3 or more (indicating hospitalization or higher severity). The EDSS was associated with the highest variability of COVID-19 severe outcome (R2, 0.2), followed by age (R2, 0.06) and obesity (R2, 0.01). Conclusions and Relevance: In this registry-based cohort study of patients with MS, age, EDSS, and obesity were independent risk factors for severe COVID-19; there was no association found between DMTs exposure and COVID-19 severity. The identification of these risk factors should provide the rationale for an individual strategy regarding clinical management of patients with MS during the COVID-19 pandemic.
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A Trial of Lopinavir–Ritonavir in Adults Hospitalized with Severe Covid-19
Cao, B., Wang, Y., Wen, D., Liu, W., Wang, J., Fan, G., Ruan, L., Song, B., Cai, Y., Wei, M., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001282 · Cited by 5,187
Estimates of the severity of coronavirus disease 2019: a model-based analysis
Verity, R., Okell, L. C., Dorigatti, I., Winskill, P., Whittaker, C., Imai, N., Cuomo-Dannenburg, G., Thompson, H., Walker, P. G. T., Fu, H., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30243-7 · Cited by 3,660
Estimating the burden of SARS-CoV-2 in France
Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., et al. (2020) · Science · doi:10.1126/science.abc3517 · Cited by 1,038
Self‐reported olfactory loss associates with outpatient clinical course in COVID‐19
Yan, C. H., Faraji, F., Prajapati, D. P., Ostrander, B. T., & DeConde, A. S. (2020) · International Forum of Allergy & Rhinology · doi:10.1002/alr.22592 · Cited by 359
Effect of ocrelizumab on vaccine responses in patients with multiple sclerosis: The VELOCE study
Bar-Or, A., Calkwood, J. C., Chognot, C., Evershed, J., Fox, E. J., Herman, A., Manfrini, M., McNamara, J., Robertson, D. S., Stokmaier, D., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000010380 · Cited by 334
Zheng, K. I., Gao, F., Wang, X.-B., Sun, Q.-F., Pan, K.-H., Wang, T.-Y., Ma, H.-L., Chen, Y.-P., Liu, W.-Y., George, J., et al. (2020) · Metabolism · doi:10.1016/j.metabol.2020.154244 · Cited by 332
Cited by
Apostolidis, S. A., Kakara, M., Painter, M. M., Goel, R. R., Mathew, D., Lenzi, K., Rezk, A., Patterson, K. R., Espinoza, D. A., Kadri, J. C., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01507-2 · Cited by 507
Salter, A., Fox, R. J., Newsome, S. D., Halper, J., Li, D. K. B., Kanellis, P., Costello, K., Bebo, B., Rammohan, K., Cutter, G. R., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.0688 · Cited by 267
COVID-19 vaccine-readiness for anti-CD20-depleting therapy in autoimmune diseases
Baker, D., Roberts, C. A. K., Pryce, G., Kang, A. S., Marta, M., Reyes, S., Schmierer, K., Giovannoni, G., & Amor, S. (2020) · Clinical and Experimental Immunology · doi:10.1111/cei.13495 · Cited by 192
The Effect of the COVID-19 Pandemic on People with Parkinson’s Disease
Brown, E. G., Chahine, L. M., Goldman, S. M., Korell, M., Mann, E., Kinel, D. R., Arnedo, V., Marek, K. L., & Tanner, C. M. (2020) · Journal of Parkinson's Disease · doi:10.3233/jpd-202249 · Cited by 177
Neuromuscular Diseases Care in the Era of COVID-19
Bertran Recasens, B., & Rubio, M. A. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.588929 · Cited by 43
Metadata
- Authors
- Louapre, C., Collongues, N., Stankoff, B., Giannesini, C., Papeix, C., Bensa, C., Deschamps, R., Créange, A., Wahab, A., Pelletier, J., Heinzlef, O., Labauge, P., Guilloton, L., Ahle, G., Goudot, M., Bigaut, K., Laplaud, D.-A., Vukusic, S., Lubetzki, C., De Sèze, J., & for the Covisep investigators
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2020-09-01
- Volume
- 77
- Issue
- 9
- Pages
- 1079
- ISSN
- 2168-6149 (ISSN-L)
- OpenAlex
- W3037709082
- Cited by
- 455
- References
- 16
- FWCI
- 12.04
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Louapre, C., Collongues, N., Stankoff, B., Giannesini, C., Papeix, C., Bensa, C., Deschamps, R., Créange, A., Wahab, A., Pelletier, J., Heinzlef, O., Labauge, P., Guilloton, L., Ahle, G., Goudot, M., Bigaut, K., Laplaud, D.-A., Vukusic, S., Lubetzki, C., . . . for the Covisep investigators. (2020). Clinical Characteristics and Outcomes in Patients With Coronavirus Disease 2019 and Multiple Sclerosis. JAMA Neurology. https://doi.org/10.1001/jamaneurol.2020.2581
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.