RESUMEN
BACKGROUND: Many studies investigated the association between air pollution and Covid-19 severity but the only study focusing on patients with Multiple Sclerosis (MS) exclusively evaluated exposure to PM2.5. We aim to study, in a sample of MS patients, the impact of long-term exposure to PM2.5, PM10 and NO2 on Covid-19 severity, described as occurrence of pneumonia. METHODS: A 1:2 ratio case-control study was designed, differentiating cases and controls based on Covid-19 pneumonia. Associations between pollutants and outcome were studied using logistic regression. Weighted quantile sum (WQS) logistic regression was used to identify the individual contribution of each pollutant within the mixture; Least Absolute Shrinkage and Selection Operator (LASSO) penalized regression was performed to confirm the variable selection from WQS. All the analyses were adjusted for confounders selected a priori. RESULTS: Of the 615 eligible patients, 491 patients provided detailed place of exposure and were included in the principal analysis. Higher concentrations of air pollutants were associated with increased odds of developing Covid-19 pneumonia (PM2.5: 3rd vs 1st tercile OR(95% CI)=2.26(1.29;3.96); PM10: 3rd vs 1st tercile OR(95% CI)=2.12(1.22;3.68); NO2: 3rd vs 1st tercile OR(95% CI)=2.12(1.21;3.69)). Pollutants were highly correlated with each other; WQS index was associated to an increased risk of pneumonia (ß=0.44; p-value=0.004) and the main contributors to this association were NO2 (41%) and PM2.5 (34%). Consistently, Lasso method selected PM2.5 and NO2. CONCLUSIONS: Higher long-term exposure to PM2.5, PM10 and NO2 increased the odds of Covid-19 pneumonia among MS patients and the most dangerous pollutants were NO2 and PM2.5.
RESUMEN
BACKGROUND AND OBJECTIVE: Multiple sclerosis is an inflammatory and neurodegenerative disorder of the central nervous system that can lead to severe motor disability. The aim of this study was to verify the health care effects of an integrated telerehabilitation approach involving dual-domains (motor and cognitive) in people with multiple sclerosis using a virtual reality rehabilitation system compared to a home-based conventional rehabilitative intervention usual care for patient-relevant outcomes (motor, cognitive and participation). METHODS: This multicentre interventional, randomized controlled trial included 70 participants with multiple sclerosis, 35 in the telerehabilitation group (30 sessions of home-based virtual reality rehabilitation system training, five sessions for week each lasting 45â min) and 35 in the usual care group (30 sessions of conventional treatment, five sessions for week). Participants completed the assessment of motor, cognitive and participation outcomes at baseline and after 6 weeks of treatment. RESULTS: In total, 63.3% of the telerehabilitation group exhibited improvement in the physical domain of the quality of life (p = 0.045). The telerehabilitation group showed greater improvement than the usual care group in Mini-BESTest domains of balance (p = 0.014), postural control (p = 0.024), and dynamic walking (p = 0.020) at post-treatment. Higher adherence was registered for telerehabilitation compared with usual care (86.67% vs. 80.0%). DISCUSSION: This study provides evidence that people with multiple sclerosis can benefit from telerehabilitation treatment in the physical domain of the quality of life and motor symptoms. Moreover, considering the persistent COVID-19 emergency, telerehabilitation can represent an effective telemedicine solution for safely delivering effective rehabilitation care to people with multiple sclerosis. TRIAL REGISTRATION NUMBER AND TRIAL REGISTER: This trial was registered at ClinicalTrials.gov (NCT03444454).