COVID-19 Severity in Multiple Sclerosis: Putting Data Into Context

Background and objectives: It is unclear how multiple sclerosis (MS) affects the severity of COVID-19. The aim of this study is to compare COVID-19-related outcomes collected in an Italian cohort of patients with MS with the outcomes expected in the age- and sex-matched Italian population. Methods: Hospitalization, intensive care unit (ICU) admission, and death after COVID-19 diagnosis of 1,362 patients with MS were compared with the age- and sex-matched Italian population in a retrospective observational case-cohort study with population-based control. The observed vs the expected events were compared in the whole MS cohort and in different subgroups (higher risk: Expanded Disability Status Scale [EDSS] score > 3 or at least 1 comorbidity, lower risk: EDSS score ≤ 3 and no comorbidities) by the χ2 test, and the risk excess was quantified by risk ratios (RRs). Results: The risk of severe events was about twice the risk in the age- and sex-matched Italian population: RR = 2.12 for hospitalization (p < 0.001), RR = 2.19 for ICU admission (p < 0.001), and RR = 2.43 for death (p < 0.001). The excess of risk was confined to the higher-risk group (n = 553). In lower-risk patients (n = 809), the rate of events was close to that of the Italian age- and sex-matched population (RR = 1.12 for hospitalization, RR = 1.52 for ICU admission, and RR = 1.19 for death). In the lower-risk group, an increased hospitalization risk was detected in patients on anti-CD20 (RR = 3.03, p = 0.005), whereas a decrease was detected in patients on interferon (0 observed vs 4 expected events, p = 0.04). Discussion: Overall, the MS cohort had a risk of severe events that is twice the risk than the age- and sex-matched Italian population. This excess of risk is mainly explained by the EDSS score and comorbidities, whereas a residual increase of hospitalization risk was observed in patients on anti-CD20 therapies and a decrease in people on interferon

First therapy choice in newly diagnosed Multiple Sclerosis patients: A multicenter Italian study

Background: The approval of an increasing number of disease modifying drugs for the treatment of Multiple Sclerosis (MS) creates new challenges for patients and clinicians on the first treatment choice. The main aim of this study was to assess factors impacting first therapy choice in a large Italian MS cohort. Methods: Newly diagnosed relapsing -remitting (RR) MS patients (2010-2018) followed in 24 Italian MS centres were included in the study. We evaluated the association of baseline demographics, clinical and MRI char- acteristics to the first treatment choice by logistic regression models applied to pre -de fined binary alternatives

MSJ790390_supplementary_material – Supplemental material for Determinants of therapy switch in multiple sclerosis treatment-naïve patients: A real-life study

<p>Supplemental material, MSJ790390_supplementary_material for Determinants of therapy switch in multiple sclerosis treatment-naïve patients: A real-life study by Francesco Saccà, Roberta Lanzillo, Alessio Signori, Giorgia T Maniscalco, Elisabetta Signoriello, Salvatore Lo Fermo, Annamaria Repice, Pietro Annovazzi, Damiano Baroncini, Marinella Clerico, Eleonora Binello, Raffaella Cerqua, Giorgia Mataluni, Simona Bonavita, Luigi Lavorgna, Ignazio Roberto Zarbo, Alice Laroni, Silvia Rossi, Lorena Pareja Gutierrez, Sara La Gioia, Barbara Frigeni, Valeria Barcella, Jessica Frau, Eleonora Cocco, Giuseppe Fenu, Valentina Torri Clerici, Arianna Sartori, Sarah Rasia, Cinzia Cordioli, Alessia Di Sapio, Simona Pontecorvo, Roberta Grasso, Caterina Barrilà, Cinzia Valeria Russo, Sabrina Esposito, Domenico Ippolito, Francesca Bovis, Fabio Gallo and Maria Pia Sormani in Multiple Sclerosis Journal</p

The effect of air pollution on COVID‐19 severity in a sample of patients with multiple sclerosis

Background and purposeSome studies have shown that air pollution, often assessed by thin particulate matter with diameter below 2.5&nbsp;µg/m3 (PM2.5), may contribute to severe COVID-19 courses, as well as play a role in the onset and evolution of multiple sclerosis (MS). However, the impact of air pollution on COVID-19 has never been explored specifically amongst patients with MS (PwMS). This retrospective observational study aims to explore associations between PM2.5 and COVID-19 severity amongst PwMS.MethodsData were retrieved from an Italian web-based platform (MuSC-19) which includes PwMS with COVID-19. PM2.5 2016-2018 average concentrations were provided by the Copernicus Atmospheric Monitoring Service. Italian patients inserted in the platform from 15 January 2020 to 9 April 2021 with a COVID-19 positive test were included. Ordered logistic regression models were used to study associations between PM2.5 and COVID-19 severity.ResultsIn all, 1087 patients, of whom 13% required hospitalization and 2% were admitted to an intensive care unit or died, were included. Based on the multivariate analysis, higher concentrations of PM2.5 increased the risk of worse COVID-19 course (odds ratio 1.90; p&nbsp;=&nbsp;0.009).ConclusionsEven if several other factors explain the unfavourable course of COVID-19 in PwMS, the role of air pollutants must be considered and further investigated

Signs and symptoms of COVID‐19 in patients with multiple sclerosis

Background and purposeClinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID-19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID-19 in MS patients and identify all factors associated with their manifestation.MethodLogistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number.ResultsFrom March 2020 to November 2021, data were collected from 1354 MS patients with confirmed infection of COVID-19. Ageusia and anosmia was less frequent in older people (odds ratio [OR] 0.98; p&nbsp;=&nbsp;0.005) and more in smoker patients (OR 1.39; p&nbsp;=&nbsp;0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p&nbsp;=&nbsp;0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p&nbsp;=&nbsp;0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p&nbsp;=&nbsp;0.008). Some disease-modifying therapies were associated with greater frequencies of certain COVID-19 symptoms (association between anti-CD20 therapies and increment in the number of concomitant symptoms: OR 1.29; p&nbsp;=&nbsp;0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p&nbsp;=&nbsp;0.024), joint or muscle pain (G2, p&nbsp;=&nbsp;0.013) and ageusia and anosmia (G5, p &lt; 0.001). All cases should be referred to variants up to Delta.ConclusionSeveral factors along with the choice of specific therapeutic approaches might have a different impact on the occurrence of some COVID-19 symptoms

The effect of air pollution on COVID-19 severity in a sample of patients with multiple sclerosis

Background and purpose: Some studies have shown that air pollution, often assessed by thin particulate matter with diameter below 2.5&nbsp;µg/m3 (PM2.5), may contribute to severe COVID-19 courses, as well as play a role in the onset and evolution of multiple sclerosis (MS). However, the impact of air pollution on COVID-19 has never been explored specifically amongst patients with MS (PwMS). This retrospective observational study aims to explore associations between PM2.5 and COVID-19 severity amongst PwMS. Methods: Data were retrieved from an Italian web-based platform (MuSC-19) which includes PwMS with COVID-19. PM2.5 2016–2018 average concentrations were provided by the Copernicus Atmospheric Monitoring Service. Italian patients inserted in the platform from 15 January 2020 to 9 April 2021 with a COVID-19 positive test were included. Ordered logistic regression models were used to study associations between PM2.5 and COVID-19 severity. Results: In all, 1087 patients, of whom 13% required hospitalization and 2% were admitted to an intensive care unit or died, were included. Based on the multivariate analysis, higher concentrations of PM2.5 increased the risk of worse COVID-19 course (odds ratio 1.90; p&nbsp;=&nbsp;0.009). Conclusions: Even if several other factors explain the unfavourable course of COVID-19 in PwMS, the role of air pollutants must be considered and further investigated

Signs and symptoms of COVID-19 in patients with multiple sclerosis

Clinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID-19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID-19 in MS patients and identify all factors associated with their manifestation

SARS-CoV-2 serology after COVID-19 in multiple sclerosis: An international cohort study

Background: The MuSC-19 project is an Italian cohort study open to international partners that collects data on multiple sclerosis (MS) patients with COVID-19. During the second wave of the pandemic, serological tests became routinely available. Objective: To evaluate the seroprevalence of anti-SARS-CoV-2 antibodies according to the use of disease-modifying therapy (DMT) in a subset of patients included in the MuSC-19 data set who had undergone a serological test. Methods: We evaluated the association between positive serological test results and time elapsed since infection onset, age, sex, Expanded Disability Status Scale score, comorbidities and DMT exposure using a multivariable logistic model. Results: Data were collected from 423 patients (345 from Italy, 61 from Turkey and 17 from Brazil) with a serological test performed during follow-up. Overall, 325 out of 423 tested patients (76.8%) had a positive serological test. At multivariate analysis, therapy with anti-CD20 was significantly associated with a reduced probability of developing antibodies after COVID-19 (odds ratio (OR) = 0.20, p = 0.002). Conclusion: Patients with MS maintain the capacity to develop humoral immune response against SARS-COV-2, although to a lesser extent when treated with anti-CD20 drugs. Overall, our results are reassuring with respect to the possibility to achieve sufficient immunization with vaccination

The effect of air pollution on COVID-19 severity in a sample of patients with multiple sclerosis

Some studies have shown that air pollution, often assessed by thin particulate matter with diameter below 2.5&nbsp;µg/m3 (PM2.5), may contribute to severe COVID-19 courses, as well as play a role in the onset and evolution of multiple sclerosis (MS). However, the impact of air pollution on COVID-19 has never been explored specifically amongst patients with MS (PwMS). This retrospective observational study aims to explore associations between PM2.5 and COVID-19 severity amongst PwMS