COVID-19 Vaccination and Disease Course in People with Multiple Sclerosis in Greece.
Christos BakirtzisNatalia KonstantinidouSotiria Stavropoulou De LorenzoTheodoros MoysiadisMarina Kleopatra BozikiEleni GrigoriadouEvangelia KesidouPaschalis TheotokisEleftherios ThireosPanagiota MitrouNikolaos GrigoriadisPublished in: Journal of clinical medicine (2023)
Over the past three years, humanity faced the abrupt spread of COVID-19, responsible for a worldwide health crisis. Initially, it was believed that individuals with chronic disorders, including multiple sclerosis, were more likely to be infected and suffer a worse degree of COVID-19 disease. Therefore, data with regard to COVID-19 disease outcomes in these populations may provide additional insight with regard to the management of chronic diseases during viral pandemics. The objective of this study is to evaluate COVID-19 disease course in people with multiple sclerosis (PwMS) during the COVID-19 pandemic in Greece and explore the impact of vaccination in the outcome of SARS-CoV-2 infection in this population. Anonymized data, extracted from nationwide administrative records between February 2020 and December 2021, were retrospectively analyzed in order to identify PwMS with SARS-CoV-2 infection. Demographic data, as well as data regarding COVID-19 infection and vaccination, were additionally collected. The study sample included 2351 PwMS (65.1% females, 51.2% unvaccinated at the time of infection). A total of 260 PwMS were hospitalized, while 25 PwMS died from COVID-19 disease and its complications. Older age, male sex and the presence of comorbidities were independently associated with a higher probability of hospitalization. The risk of hospitalization was decreased in PwMS receiving some disease-modifying treatments. Anti-CD20s demonstrated high odds ratios without reaching statistical significance. Regarding fatal outcome, only age reached statistical significance. Vaccination provided a significant protective effect against hospitalization but did not exhibit a statistically significant effect on mortality.
Keyphrases
- sars cov
- coronavirus disease
- multiple sclerosis
- respiratory syndrome coronavirus
- electronic health record
- big data
- public health
- healthcare
- metabolic syndrome
- risk factors
- machine learning
- mental health
- cardiovascular disease
- adipose tissue
- social media
- deep learning
- health information
- artificial intelligence
- human health