ABSTRACT
Background and aims: Cladribine is a nucleoside analogue, approved for the treatment of active multiple sclerosis (MS). Looking at clinical trial results, during cladribine treatment, there is a marked and long-lasting CD19 B-cell depletion and a modest T-cell depletion. Immunoglobulin (Ig) levels were never explored. In our real-world study, we evaluated changes in lymphocytes, neutrophils and immunoglobulins over the first 12 months of cladribine treatment. Methods: This observational retrospective study has been conducted on prospectively collected data from 2018 to 2021. Clinical and laboratory data at baseline and after 2, 6 and 12 months were included. Results: Using baseline as reference, total lymphocyte count was lower after 2, 6, and 12 months. Neutrophils were lower after 2 and 6 months, but not after 12 months. We observed no changes in IgG, IgM and IgA over 12 months. CD19 B-cell count was lower after 2 and 6 months, but not after 12 months. CD8 T-cell count was lower after 2 and 6 months, but not after 12 months. CD4 T-cell count was lower after 2, and 6 months, but not after 12 months. Conclusion: We observed a significant decrease in total lymphocyte count from 2 months after cladribine treatment start until the end of year 1. After 12 months, we observed complete reconstitution of CD19 B-lymphocytes. Immunoglobulins remained stable over year-1 cladribine treatment that is also in line with observed normal antibody production to COVID-19 infection and vaccination in patients treated with cladribine.
ABSTRACT
Introduction: MS patients affected by SARS-CoV-2 disease may present with a wide pattern of symptoms, not always suggestive of the severity of infection. A recent study has shown that main symptoms of Covid-19 can be grouped in seven different clusters. Risk and protective factors for their occurrence in MS patients has never been investigated. Objectives: To identify the most common symptoms of Covid-19 that are part of specific clusters in MS patients and evaluate all factors associated with their manifestation. Methods: As part of the MuSC-19 Italian project, all data were extracted from a dedicated web-based platform that allows researchers to evaluate the impact of Covid-19 on people affected by MS. After having tested the degree of agreement between different types of symptoms (Cohen's k), univariate and multivariate logistic regression models were applied to identify predicting factors for each group. Results: 1554 MS patients with confirmed Covid-19 and presenting at least one symptom referred to a specific cluster were analyzed. Patients presented nearly three groups of symptoms (mean: 2.8). The most common include fever/chills/rigor/fatigue/ cough (87%), followed by ageusia/anosmia (46%). Smoking habit was the most confirmed risk factor for developing a wide range of symptoms: common cold-like symptoms (OR:1.6, 95%CI:1.3- 2.1;p<0.001), joint and muscle pain (OR:1.3, 95%CI:1.1-1.7;p=0.037), gastrointestinal problems (OR:1.3, 95%CI: 1.1-1.7;p = 0.029), and loss of smell/taste (OR:1.4, 95%CI: 1.07-1.72;p=0.013). Smoking was confirmed also as risk factor for increasing the number of symptoms (OR:1.5, 95%CI:1.2-1.8;p<0.001), together with alcohol use (OR:1.25, 95%CI:1.1-1.5;p=0.021) and with assumption of anti-CD20 therapies (OR:1.7, 95%CI:1.2-2.5;p=0.004). Males have a lower risk for developing a major number of symptoms (OR:0.8, 95%CI:0.6 - 0.9;p=0.006). Finally, a lower EDSS was associated to a slight increment of symptoms, probably due to an already underlying presence of some common symptoms in most critical MS patients, which consequently were not reported (OR:0.9, 95%CI:0.8-0.9;p=0.005). Conclusions: Knowing possible risk factors and modifying some lifestyle behaviors might minimize the occurrence of Covid-19 symptoms. Anyway, further studies are needed for confirming these findings, and an additional follow up study on the presence of persistent symptoms after apparent Covid-19 resolution may help to better understand all possible risk factors.
ABSTRACT
Introduction: Studies have pointed out that air pollution longterm exposure may play a role in the severity and prognosis of SARS-CoV-2 infections. Additionally, air pollution has been associated to MS prevalence and course. However, the role of air pollution in COVID-19 severity has never been explored specifically among MS patients. Aims: To explore the association between air pollution assessed by PM2.5 levels and COVID-19 severity among MS patients. Methods: Demographic and clinical characteristics as well as data about Covid-19 severity were extracted from an Italian webbased platform (Musc-19 project) containing clinician-reported data from 118 Italian MS centers. PM2.5 ground-level concentrations were derived from air quality model results, as provided by the 'Copernicus Atmospheric Monitoring Service' (CAMS). Ordered logistic regression models were used to assess the association between PM2.5 (continuous and in tertiles) and Covid-19 prognosis (defined on three levels as mild course, hospitalization, and intensive care unit (ICU) admission or death) while controlling for possible confounders. Results: PM2.5 concentrations were available for 1517 MS patients, of whom 1321(87%) were classified as mild Covid-19 cases, 172(11%) were hospitalized and 24(2%) were admitted to ICU or died. Higher concentrations of PM2.5 were associated with increased odds of developing a worst Covid-19 prognosis (10-unit increase in PM2.5: OR(95% CI)=1.76(1.16-2.67) p-value=0.008;3rd vs 1st tertile: OR(95% CI)=1.74(1.17-2.59) p-value=0.006). Results remained consistent when we included only the Covid-19 cases confirmed by a nasopharyngeal swab (N=1087). Conclusions: Higher concentrations of PM2.5 are associated with Covid-19 severity among MS patients. Further studies are needed to evaluate the impact of other air pollutants, but urgent measures to reduce air pollution must be surely adopted.
ABSTRACT
Background: Data collected from several international platforms provided important information about risk factors, including treatment exposure, impacting COVID-19 severity in people with multiple sclerosis (PwMS). However, up to now, factors increasing the risk of getting SARS-CoV2 infection in PwMS are not known. MS registers represent a suitable tool to provide denominators for risks assessment. Objectives: To assess risk factors for SARS-CoV2 infection in PwMS by using data collected in the Italian MS Register (IMSR). Methods: A case-control (1-2) study was set-up. PwMS with (cases) and without (controls) COVID-19 were identified within the IMRS and propensity-score matched by the date of COVID-19 diagnosis (cases) and the date of last visit (controls) and for the region of residence. COVID-19 risk was estimated by multivariable logistic regression models including demographic and clinical covariates. The role of DMTs exposure was assessed in 3 different models including: last recorded DMT or DMT sequences (induction strategy/escalation strategy/only first line DMT exposure/ never treated) or last DMTs grouped according to the place of administration (at hospital or self-administered at home). A minimal treatment exposure for each DMT was defined on the basis of the recognized minimal time required to be potentially effective. Results: A total of 779 [median (IQR) age: 42.40 years (33.00- 50.80);30.17% male] confirmed COVID-19 cases were matched to 1558 controls [46.90 years (37.50-55.70);35.82% male]. In all models, comorbidities, female sex and age were significantly associated (p<0.02) to a higher risk of getting COVID-19. Patients receiving Natalizumab as last DMT (OR (95% CI): 2.38(1.66-3.42), p<0.0001) and those who underwent an escalation treatment strategy (1.57 (1.16-2.13), p=0.003) were at significant higher COVID-19 risk. Moreover, the group of PwMS receiving last DMTs requiring hospital access (1.65(1.34-2.04), p<0.0001) showed a significant higher risk than those taking selfadministered DMTs at home. Conclusions: This case-control study embedded in the IMSR showed that PwMS at higher COVID-19 risk are younger, more frequently female and with comorbidities. Long-lasting escalation approach and last therapies that expose patients to the hospital environment seem to increase significantly the risk SARS-CoV2 infection in PwMS.