TY - JOUR
T1 - Signs and symptoms of COVID-19 in patients with multiple sclerosis
AU - MuSC-19 study group
AU - Schiavetti, Irene
AU - Carmisciano, Luca
AU - Ponzano, Marta
AU - Cordioli, Cinzia
AU - Cocco, Eleonora
AU - Marfia, Girolama Alessandra
AU - Inglese, Matilde
AU - Filippi, Massimo
AU - Radaelli, Marta
AU - Bergamaschi, Roberto
AU - Immovilli, Paolo
AU - Capobianco, Marco
AU - De Rossi, Nicola
AU - Brichetto, Giampaolo
AU - Scandellari, Cinzia
AU - Cavalla, Paola
AU - Pesci, Ilaria
AU - Confalonieri, Paolo
AU - Perini, Paola
AU - Trojano, Maria
AU - Lanzillo, Roberta
AU - Tedeschi, Gioacchino
AU - Comi, Giancarlo
AU - Battaglia, Mario Alberto
AU - Patti, Francesco
AU - Salvetti, Marco
AU - Sormani, Maria Pia
AU - Abbadessa, Gianmarco
AU - Aguglia, Umberto
AU - Allegorico, Lia
AU - Rossi Allegri, Beatrice Maria
AU - Alteno, Anastasia
AU - Amato, Maria Pia
AU - Annovazzi, Pietro
AU - Antozzi, Carlo
AU - Appendino, Lucia
AU - Arena, Sebastiano
AU - Baione, Viola
AU - Balgera, Roberto
AU - Barcella, Valeria
AU - Baroncini, Damiano
AU - Barrilà, Caterina
AU - Bellacosa, Alessandra
AU - Bellucci, Gianmarco
AU - Bergamaschi, Valeria
AU - Bezzini, Daiana
AU - Biolzi, Beatrice
AU - Bisecco, Alvino
AU - Bonavita, Simona
AU - Borriello, Giovanna
N1 - Publisher Copyright:
© 2022 European Academy of Neurology.
PY - 2022/12
Y1 - 2022/12
N2 - Background and purpose: 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. Method: Logistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number. Results: From 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 = 0.005) and more in smoker patients (OR 1.39; p = 0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p = 0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p = 0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p = 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 = 0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p = 0.024), joint or muscle pain (G2, p = 0.013) and ageusia and anosmia (G5, p < 0.001). All cases should be referred to variants up to Delta. Conclusion: Several factors along with the choice of specific therapeutic approaches might have a different impact on the occurrence of some COVID-19 symptoms.
AB - Background and purpose: 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. Method: Logistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number. Results: From 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 = 0.005) and more in smoker patients (OR 1.39; p = 0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p = 0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p = 0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p = 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 = 0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p = 0.024), joint or muscle pain (G2, p = 0.013) and ageusia and anosmia (G5, p < 0.001). All cases should be referred to variants up to Delta. Conclusion: Several factors along with the choice of specific therapeutic approaches might have a different impact on the occurrence of some COVID-19 symptoms.
KW - COVID-19
KW - demyelinating diseases
KW - disease-modifying treatment
KW - multiple sclerosis
KW - neurological disorders
UR - http://www.scopus.com/inward/record.url?scp=85138680157&partnerID=8YFLogxK
U2 - 10.1111/ene.15554
DO - 10.1111/ene.15554
M3 - Article
C2 - 36086905
AN - SCOPUS:85138680157
SN - 1351-5101
VL - 29
SP - 3728
EP - 3736
JO - European Journal of Neurology
JF - European Journal of Neurology
IS - 12
ER -