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14 results on '"Marco Longoni"'

1. Impact of Sex on Thrombectomy Outcomes in Ischemic Stroke: A Propensity Score‐Matched Study, Systematic Review, and Meta‐Analysis

Author

Michele Romoli, Soma Banerjee, Francesco Cordici, Kyriakos Lobotesis, Marco Longoni, Elvis Lafe, Ilaria Casetta, Aristeidis H. Katsanos, Lina Palaiodimou, Andrea Zini, Maria Ruggiero, Thanh N. Nguyen, Georgios Tsivgoulis, and Lucio D'Anna

Subjects
Neurology. Diseases of the nervous system, RC346-429, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background Women are underrepresented in stroke thrombectomy trials, and the impact of sex differences in outcomes after stroke thrombectomy is unclear. We performed a multicenter propensity matching study to define sex‐related differences in outcome after endovascular thrombectomy and integrated results in a meta‐analysis. Methods We included patients with anterior circulation large vessel occlusion consecutively treated with thrombectomy at 2 Comprehensive Stroke Centres (2016–2023). Selection criteria reflected international guidelines. Through systematic review we selected all studies reporting endovascular thrombectomy outcomes in anterior circulation large vessel occlusion stroke, applying propensity score matching. MEDLINE, EMBASE, and Cochrane CENTRAL were searched up to August 15, 2023 according to predefined protocol (OSF.io/je3da). Data were extracted by 2 independent raters, pooled estimates calculated according to random‐effect modeling meta‐analysis and reported as odds ratio (OR) and standard 95% CI. Outcomes were good functional outcome, defined as modified Rankin Scale score 0–2 at 90 days after stroke, and symptomatic intracranial hemorrhage, adjudicated according to European Cooperative Acute Stroke Study II criteria. Results After matching, 698 patients (349 women versus 349 men) had similar cardiovascular risk factors, baseline features, and treatment approach. No significant differences were found for good functional outcome (OR = 0.89, 95% CI = 0.66–1.2) and symptomatic intracranial hemorrhage (OR = 1.00, 95% CI = 0.44–2.26) in the cohort study by sex. Systematic review identified 3 studies (n = 3706), all of high quality. No differences emerged in rates of good functional outcome (OR = 1.00, 95% CI = 0.79–1.21) or symptomatic intracranial hemorrhage (OR = 0.85, 95% CI = 0.60–1.19) depending on sex. Conclusion Women receiving endovascular thrombectomy for anterior circulation large vessel occlusion related stroke have similar rates of good functional outcome and symptomatic intracranial hemorrhage compared to men.

Published
2024
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2. A case of Kennedy terminal ulcer in a 17th-century Italian mummy

Author

Mirko Traversari, Luca Ventura, Aleksander Sebastian Iwaszczonek, Elisabetta Cilli, Marco Longoni, Gianandrea Pasquinelli, Giancarlo Troncone, Arturo Brunetti, Davide Melandri, and Claudio Bellevicine

Subjects
Kennedy terminal ulcer, KTU, paleopathology, Dermatology, RL1-803
Abstract

Giacomo Torno was born in 1539 (or 1541) in Naples. At the age of 18 he joined the Clerics Regular Theatines in San Paolo Maggiore and was welcomed on 30 October 1558. He suffered a stroke on 4 December 1608 and died 45 days later. Contemporary sources report that he appeared to be tormented by the devil during his illness, tormented by constant spasms in his arm, which caused him great discomfort. During the analysis of his mummified body, a discontinuity of the skin surface at the level of the sacrum was discovered. All morphological features indicate a wound that developed during the subject’s life. Based on historical sources, the fracture of the first coccygeal vertebra, the appearance of the lesion near death, and the shape of the lesion, it appears that this is the first recorded instance of the Kennedy terminal ulcer, identified through both direct and indirect sources

Published
2024
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3. Effect of tauroursodeoxycholic acid on survival and safety in amyotrophic lateral sclerosis: a retrospective population-based cohort studyResearch in context

Author

Elisabetta Zucchi, Umberto Maria Musazzi, Guido Fedele, Ilaria Martinelli, Giulia Gianferrari, Cecilia Simonini, Nicola Fini, Andrea Ghezzi, Maria Caputo, Elisabetta Sette, Veria Vacchiano, Lucia Zinno, Pietro Anceschi, Elena Canali, Marco Vinceti, Salvatore Ferro, Jessica Mandrioli, Laura Ferri, Annalisa Gessani, Rocco Liguori, Pietro Cortelli, Roberto Michelucci, Fabrizio Salvi, Ilaria Bartolomei, Anna Maria Borghi, Andrea Zini, Rita Rinaldi, Valeria Tugnoli, Maura Pugliatti, Luca Codeluppi, Franco Valzania, Filippo Stragliati, Andi Nuredini, Sonia Romano, Alessandro D'Orsi, Liborio Parrino, Doriana Medici, Giovanna Pilurzi, Emilio Terlizzi, Donata Guidetti, Silvia De Pasqua, Mario Santangelo, Paola De Massis, Matteo Gizzi, Mario Casmiro, Pietro Querzani, Simonetta Morresi, Maria Vitiello, Marco Longoni, Alberto Patuelli, Susanna Malagù, Francesca Bianchi, Marco Currò Dossi, and Cristiana Ganino

Subjects
Amyotrophic lateral sclerosis, Tauroursodeoxycholic acid, Real-world evidence, Propensity score matching, Survival, Medicine (General), R5-920
Abstract

Summary: Background: Oral tauroursodeoxycholic acid (TUDCA) is a commercial drug currently tested in patients with amyotrophic lateral sclerosis (ALS) both singly and combined with sodium phenylbutyrate. This retrospective study aimed to investigate, in a real-world setting, whether TUDCA had an impact on the overall survival of patients with ALS who were treated with this drug compared to those patients who received standard care only. Methods: This propensity score–matched study was conducted in the Emilia Romagna Region (Italy), which has had an ALS regional registry since 2009. Out of 627 patients with ALS diagnosed from January 1st, 2015 to June 30th, 2021 and recorded in the registry with available information on death/tracheostomy, 86 patients took TUDCA and were matched in a 1:2 ratio with patients who received only usual care according to age at onset, sex, phenotype, diagnostic latency, ALS Functional Rating Scale-Revised (ALSFRS-R) at first visit, disease progression rate at first visit, and BMI at diagnosis. The primary outcome was survival difference (time from onset of symptoms to tracheostomy/death) between TUDCA exposed and unexposed patients. Findings: A total of 86 patients treated with TUDCA were matched to 172 patients who did not receive treatment. TUDCA-exposed patients were stratified based on dosage (less than or equal to 1000 mg/day or greater) and duration (less than or equal to 12 months or longer) of treatment. The median overall survival was 49.6 months (95% CI 41.7–93.5) among those treated with TUDCA and 36.2 months (95% CI 32.7–41.6) in the control group, with a reduced risk of death observed in patients exposed to a higher dosage (defined as ≥ 1000 mg/day) of TUDCA (HR 0.56; 95% CI 0.38–0.83; p = 0.0042) compared to both the control group and those with lower TUDCA dosages (defined as

Published
2023
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4. Insight into Elderly ALS Patients in the Emilia Romagna Region: Epidemiological and Clinical Features of Late-Onset ALS in a Prospective, Population-Based Study

Author

Giulia Gianferrari, Ilaria Martinelli, Cecilia Simonini, Elisabetta Zucchi, Nicola Fini, Maria Caputo, Andrea Ghezzi, Annalisa Gessani, Elena Canali, Mario Casmiro, Patrizia De Massis, Marco Curro’ Dossi, Silvia De Pasqua, Rocco Liguori, Marco Longoni, Doriana Medici, Simonetta Morresi, Alberto Patuelli, Maura Pugliatti, Mario Santangelo, Elisabetta Sette, Filippo Stragliati, Emilio Terlizzi, Veria Vacchiano, Lucia Zinno, Salvatore Ferro, Amedeo Amedei, Tommaso Filippini, Marco Vinceti, ERRALS GROUP, and Jessica Mandrioli

Subjects
amyotrophic lateral sclerosis, elderly ALS, epidemiology, phenotype, prognosis, survival, Science
Abstract

Few studies have focused on elderly (>80 years) amyotrophic lateral sclerosis (ALS) patients, who represent a fragile subgroup generally not included in clinical trials and often neglected because they are more difficult to diagnose and manage. We analyzed the clinical and genetic features of very late-onset ALS patients through a prospective, population-based study in the Emilia Romagna Region of Italy. From 2009 to 2019, 222 (13.76%) out of 1613 patients in incident cases were over 80 years old at diagnosis, with a female predominance (F:M = 1.18). Elderly ALS patients represented 12.02% of patients before 2015 and 15.91% from 2015 onwards (p = 0.024). This group presented with bulbar onset in 38.29% of cases and had worse clinical conditions at diagnosis compared to younger patients, with a lower average BMI (23.12 vs. 24.57 Kg/m2), a higher progression rate (1.43 vs. 0.95 points/month), and a shorter length of survival (a median of 20.77 vs. 36 months). For this subgroup, genetic analyses have seldom been carried out (25% vs. 39.11%) and are generally negative. Finally, elderly patients underwent less frequent nutritional- and respiratory-supporting procedures, and multidisciplinary teams were less involved at follow-up, except for specialist palliative care. The genotypic and phenotypic features of elderly ALS patients could help identify the different environmental and genetic risk factors that determine the age at which disease onset occurs. Since multidisciplinary management can improve a patient’s prognosis, it should be more extensively applied to this fragile group of patients.

Published
2023
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5. Epidemiological, Clinical and Genetic Features of ALS in the Last Decade: A Prospective Population-Based Study in the Emilia Romagna Region of Italy

Author

Giulia Gianferrari, Ilaria Martinelli, Elisabetta Zucchi, Cecilia Simonini, Nicola Fini, Marco Vinceti, Salvatore Ferro, Annalisa Gessani, Elena Canali, Franco Valzania, Elisabetta Sette, Maura Pugliatti, Valeria Tugnoli, Lucia Zinno, Salvatore Stano, Mario Santangelo, Silvia De Pasqua, Emilio Terlizzi, Donata Guidetti, Doriana Medici, Fabrizio Salvi, Rocco Liguori, Veria Vacchiano, Mario Casmiro, Pietro Querzani, Marco Currò Dossi, Alberto Patuelli, Simonetta Morresi, Marco Longoni, Patrizia De Massis, Rita Rinaldi, Annamaria Borghi, ERRALS GROUP, Amedeo Amedei, and Jessica Mandrioli

Subjects
amyotrophic lateral sclerosis, epidemiology, population-based registry, incidence, clinical features, genetics, Biology (General), QH301-705.5
Abstract

Increased incidence rates of amyotrophic lateral sclerosis (ALS) have been recently reported across various Western countries, although geographic and temporal variations in terms of incidence, clinical features and genetics are not fully elucidated. This study aimed to describe demographic, clinical feature and genotype–phenotype correlations of ALS cases over the last decade in the Emilia Romagna Region (ERR). From 2009 to 2019, our prospective population-based registry of ALS in the ERR of Northern Italy recorded 1613 patients receiving a diagnosis of ALS. The age- and sex-adjusted incidence rate was 3.13/100,000 population (M/F ratio: 1.21). The mean age at onset was 67.01 years; women, bulbar and respiratory phenotypes were associated with an older age, while C9orf72-mutated patients were generally younger. After peaking at 70–75 years, incidence rates, among women only, showed a bimodal distribution with a second slight increase after reaching 90 years of age. Familial cases comprised 12%, of which one quarter could be attributed to an ALS-related mutation. More than 70% of C9orf72-expanded patients had a family history of ALS/fronto-temporal dementia (FTD); 22.58% of patients with FTD at diagnosis had C9orf72 expansion (OR 6.34, p = 0.004). In addition to a high ALS incidence suggesting exhaustiveness of case ascertainment, this study highlights interesting phenotype–genotype correlations in the ALS population of ERR.

Published
2022
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6. The impact of PM2.5, PM10 and NO2 on Covid-19 severity in a sample of patients with multiple sclerosis: A case-control study

Author

Gianmarco, Abbadessa, Umberto, Aguglia, Lia, Allegorico, Maria, Allegri Rossi Beatrice, Anastasia, Alteno, Pia, Amato Maria, Pietro, Annovazzi, Carlo, Antozzi, Lucia, Appendino, Sebastiano, Arena, Viola, Baione, Roberto, Balgera, Valeria, Barcella, Damiano, Baroncini, Caterina, Barrilà, Mario A, Battaglia, Alessandra, Bellacosa, Gianmarco, Bellucci, Roberto, Bergamaschi, Valeria, Bergamaschi, Daiana, Bezzini, Beatrice, Biolzi, Alvino, Bisecco, Simona, Bonavita, Giovanna, Borriello, Chiara, Bosa, Antonio, Bosco, Francesca, Bovis, Marco, Bozzali, Laura, Brambilla, Vincenzo, Brescia Morra, Giampaolo, Brichetto, Maria, Buccafusca, Elisabetta, Bucciantini, Sebastiano, Bucello, Chiara, Buscarinu Maria, Paola, Cabboi Maria, Massimiliano, Calabrese, Francesca, Calabria, Francesca, Caleri, Federico, Camilli, Maria, Caniatti Luisa, Roberto, Cantello, Marco, Capobianco, Ruggero, Capra, Rocco, Capuano, Luca, Carmisciano, Patrizia, Carta, Paola, Cavalla, Grazia, Celani Maria, Maria, Cellerino, Raffaella, Cerqua, Clara, Chisari, Raffaella, Clerici, Marinella, Clerico, Eleonora, Cocco, Gaia, Cola, Giancarlo, Comi, Paolo, Confalonieri, Antonella, Conte, Zaffira, Conti Marta, Christian, Cordano, Susanna, Cordera, Cinzia, Cordioli, Francesco, Corea, Claudio, Correale, Salvatore, Cottone, Francesco, Crescenzo, Erica, Curti, Alessandro, d'Ambrosio, Emanuele, D'Amico, Chiara, Danni Maura, Alessia, d'Arma, Vincenzo, Dattola, Stefano, de Biase, Giovanna, De Luca, Federica, De Mercanti Stefania, Paolo, De Mitri, Nicola, De Rossi, Nicola, De Stefano, Maria, Della Cava Fabio, Marco, Della Cava, Sonia, Di Lemme, Mario, di Napoli, Alessia, Di Sapio, Renato, Docimo, Anna, Dutto, Luana, Evangelista, Salvatore, Fanara, Roberta, Fantozzi, Diana, Ferraro, Teresa, Ferrò Maria, Massimo, Filippi, Cristina, Fioretti, Mario, Fratta, Jessica, Frau, Marzia, Fronza, Roberto, Furlan, Alberto, Gajofatto, Antonio, Gallo, Paolo, Gallo, Claudio, Gasperini, Anna, Ghazaryan, Bruno, Giometto, Francesca, Gobbin, Flora, Govone, Franco, Granella, Erica, Grange, Grazia, Grasso Maria, Luigi ME, Grimaldi, Angelica, Guareschi, Clara, Guaschino, Simone, Guerrieri, Donata, Guidetti, Barbara, Juergenson Ina, Pietro, Iaffaldano, Antonio, Ianniello, Luigi, Iasevoli, Paolo, Immovilli, Daniele, Imperiale, Teresa, Infante Maria, Matilde, Inglese, Rosa, Iodice, Aniello, Iovino, Giovanna, Konrad, Doriana, Landi, Roberta, Lanzillo, Caterina, Lapucci, Luigi, Lavorgna, Rita, L'Episcopo Maria, Serena, Leva, Giuseppe, Liberatore, Marianna, Lo Re, Marco, Longoni, Leonardo, Lopiano, Lorena, Lorefice, Matteo, Lucchini, Giacomo, Lus, Davide, Maimone, Maria, Malentacchi, Giulia, Mallucci, Simona, Malucchi, Rosa, Mancinelli Chiara, Luca, Mancinelli, Paolo, Manganotti, Teresa, Maniscalco Giorgia, Vittorio, Mantero, Sabrina, Marangoni, Damiano, Marastoni, Alessandra, Marfia Girolama, Fabiana, Marinelli, Alessandro, Marti, Filippo, Martinelli Boneschi, Federco, Masserano Zoli, Francesca, Matta, Laura, Mendozzi, Giuseppe, Meucci, Silvia, Miante, Giuseppina, Miele, Eva, Milano, Massimiliano, Mirabella, Rosanna, Missione, Marcello, Moccia, Lucia, Moiola, Sara, Montepietra, Margherita, MontiBragadin, Federico, Montini, Roberta, Motta, Raffaele, Nardone, Gabri, Nicoletti Carolina, Eduardo, Nobile-Orazio, Agostino, Nozzolillo, Marco, Onofrj, Riccardo, Orlandi, Anna, Palmieri, Damiano, Paolicelli, Livia, Pasquali, Fulvio, Pasquin, Luisa, Pastò, Francesco, Patti, Elisabetta, Pedrazzoli, Paola, Perini, Ilaria, Pesci, Maria, Petracca, Alfredo, Petrone, Carlo, Piantadosi, Anna M, Pietroboni, Federica, Pinardi, Marta, Ponzano, Emilio, Portaccio, Mattia, Pozzato, Carlo, Pozzilli, Luca, Prosperini, Alessandra, Protti, Eugenio, Pucci, Marta, Radaelli, Paolo, Ragonese, Sarah, Rasia, Sabrina, Realmuto, Anna, Repice, Eleonora, Rigoni, Teresa, Rilla Maria, Francesca, Rinaldi, Marcello, Romano Calogero, Marco, Ronzoni, Marco, Rovaris, Francesca, Ruscica, Loredana, Sabattini, Giuseppe, Salemi, Marco, Salvetti, Lorenzo, Saraceno, Alessia, Sartori, Arianna, Sartori, Elvira, Sbragia, Cinzia, Scandellari, Ilaria, Scarano Giuditta, Valentina, Scarano, Irene, Schiavetti, Maria, Sessa, Caterina, Sgarito, Grazia, Sibilia, Gabriele, Siciliano, Alessio, Signori, Elisabetta, Signoriello, Leonardo, Sinisi, Francesca, Sireci, Patrizia, Sola, Claudio, Solaro, Pia, Sormani Maria, Stefano, Sotgiu, Maddalena, Sparaco, Laura, Stromillo Maria, Silvia, Strumia, Laura, Susani Emanuela, Giulietta, Tabiadon, Francesco, Teatini, Gioacchino, Tedeschi, Valentina, Tomassini, Simone, Tonietti, Valentina, Torri Clerici, Carla, Tortorella, Simona, Toscano, Rocco, Totaro, Maria, Trojano, Maria, Trotta, Gabriella, Turano, Monica, Ulivelli, Manzo, Valentino, Giovanna, Vaula, Domizia, Vecchio, Marco, Vercellino, Pinuccia, Verrengia Elena, Marika, Vianello, Eleonora, Virgilio, Francesca, Vitetta, Stefano, Vollaro, Mauro, Zaffaroni, Mauro, Zampolini, Roberto, Zarbo Ignazio, Antonio, Zito, Luigi, Zuliani, Ponzano, Marta, Schiavetti, Irene, Bergamaschi, Roberto, Pisoni, Enrico, Bellavia, Andrea, Mallucci, Giulia, Carmisciano, Luca, Inglese, Matilde, Cordioli, Cinzia, Marfia, Girolama Alessandra, Cocco, Eleonora, Immovilli, Paolo, Pesci, Ilaria, Scandellari, Cinzia, Cavalla, Paola, Radaelli, Marta, Vianello, Marika, Vitetta, Francesca, Montepietra, Sara, Amato, Maria Pia, Fioretti, Cristina, Filippi, Massimo, Sartori, Arianna, Caleri, Francesca, Clerico, Marinella, Gallo, Antonio, Conte, Antonella, Clerici, Raffaella, De Luca, Giovanna, Boneschi, Filippo Martinelli, Cantello, Roberto, Calabrese, Massimiliano, Tortorella, Carla, Rovaris, Marco, Verrengia, Elena Pinuccia, Patti, Francesco, Morra, Vincenzo Brescia, Salvetti, Marco, and Sormani, Maria Pia

Published
2022
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7. Thrombolysis after dabigatran reversal: A nation-wide Italian multicentre study, systematic review and meta-analysis

Author

Michele Romoli, Eleonora Matteo, Ludovica Migliaccio, Mauro Gentile, Maria Giulia Mosconi, Giuseppe Maria Scura, Marcello Naccarato, Enrico Colangeli, Paolo Candelaresi, Vincenzo Andreone, Fabrizio Giammello, Rosa Fortunata Musolino, Cristina Dell’Aera, Federica Nicoletta Sepe, Edoardo Pronello, Leonardo Barbarini, Marcella Caggiula, Federica Rizzo, Marco Petruzzellis, Elisa Giorli, Maria Luisa Zedde, Sabrina Anticoli, Marilena Mangiardi, Mario Muto, Francesco Diana, Maria Vittoria De Angelis, Anna Digiovanni, Letizia Concari, Sara La Gioia, Maria Sessa, Sara Biguzzi, Francesco Cordici, Marco Longoni, Maria Ruggiero, Silvia Cenciarelli, Paolo Eusebi, Simona Sacco, Valeria Caso, Maurizio Paciaroni, Stefano Ricci, Andrea Zini, Danilo Toni, and David Giannandrea

Subjects
Stroke, thrombolysis, thrombectomy, Original Research Articles, Neurology (clinical), antidote, direct oral anticoagulants, Cardiology and Cardiovascular Medicine
Abstract

Introduction: Recent anticoagulant intake represents a contraindication for thrombolysis in acute ischemic stroke. Idarucizumab reverses the anticoagulant effect of dabigatran, potentially allowing for thrombolysis. This nation-wide observational cohort study, systematic review, and meta-analysis evaluated the efficacy and safety of thrombolysis preceded by dabigatran-reversal in people with acute ischemic stroke. Patients and methods: We recruited people undergoing thrombolysis following dabigatran-reversal at 17 stroke centers in Italy (reversal-group), people on dabigatran treated with thrombolysis without reversal (no-reversal group), and age, sex, hypertension, stroke severity, and reperfusion treatment-matched controls in 1:7 ratio (control-group). We compared groups for symptomatic intracranial hemorrhage (sICH, main outcome), any brain hemorrhage, good functional outcome (mRS 0–2 at 3 months), and death. The systematic review followed a predefined protocol (CRD42017060274), and odds ratio (OR) meta-analysis was implemented to compare groups. Results: Thirty-nine patients in dabigatran-reversal group and 300 matched controls were included. Reversal was associated with a non-significant increase in sICH (10.3% vs 6%, aOR = 1.32, 95% CI = 0.39–4.52), death (17.9% vs 10%, aOR = 0.77, 95% CI = 0.12–4.93) and good functional outcome (64.1% vs 52.8%, aOR = 1.41, 95% CI = 0.63–3.19). No hemorrhagic events or deaths were registered in no-reversal group (n = 12). Pooling data from 3 studies after systematic review (n = 1879), reversal carried a non-significant trend for sICH (OR = 1.53, 95% CI = 0.67–3.50), death (OR = 1.53, 95% CI = 0.73–3.24) and good functional outcome (OR = 2.46, 95% CI = 0.85–7.16). Discussion and conclusion: People treated with reperfusion strategies after dabigatran reversal with idarucizumab seem to have a marginal increase in the risk of sICH but comparable functional recovery to matched patients with stroke. Further studies are needed to define treatment cost-effectiveness and potential thresholds in plasma dabigatran concentration for reversal.

Published
2022
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8. Insight into Elderly ALS Patients in the Emilia Romagna Region: Epidemiological and Clinical Features of Late-Onset ALS in a Prospective, Population-Based Study

Author

Mandrioli, Giulia Gianferrari, Ilaria Martinelli, Cecilia Simonini, Elisabetta Zucchi, Nicola Fini, Maria Caputo, Andrea Ghezzi, Annalisa Gessani, Elena Canali, Mario Casmiro, Patrizia De Massis, Marco Curro’ Dossi, Silvia De Pasqua, Rocco Liguori, Marco Longoni, Doriana Medici, Simonetta Morresi, Alberto Patuelli, Maura Pugliatti, Mario Santangelo, Elisabetta Sette, Filippo Stragliati, Emilio Terlizzi, Veria Vacchiano, Lucia Zinno, Salvatore Ferro, Amedeo Amedei, Tommaso Filippini, Marco Vinceti, ERRALS GROUP ERRALS GROUP, and Jessica

Subjects
amyotrophic lateral sclerosis, elderly ALS, epidemiology, phenotype, prognosis, survival
Abstract

Few studies have focused on elderly (>80 years) amyotrophic lateral sclerosis (ALS) patients, who represent a fragile subgroup generally not included in clinical trials and often neglected because they are more difficult to diagnose and manage. We analyzed the clinical and genetic features of very late-onset ALS patients through a prospective, population-based study in the Emilia Romagna Region of Italy. From 2009 to 2019, 222 (13.76%) out of 1613 patients in incident cases were over 80 years old at diagnosis, with a female predominance (F:M = 1.18). Elderly ALS patients represented 12.02% of patients before 2015 and 15.91% from 2015 onwards (p = 0.024). This group presented with bulbar onset in 38.29% of cases and had worse clinical conditions at diagnosis compared to younger patients, with a lower average BMI (23.12 vs. 24.57 Kg/m2), a higher progression rate (1.43 vs. 0.95 points/month), and a shorter length of survival (a median of 20.77 vs. 36 months). For this subgroup, genetic analyses have seldom been carried out (25% vs. 39.11%) and are generally negative. Finally, elderly patients underwent less frequent nutritional- and respiratory-supporting procedures, and multidisciplinary teams were less involved at follow-up, except for specialist palliative care. The genotypic and phenotypic features of elderly ALS patients could help identify the different environmental and genetic risk factors that determine the age at which disease onset occurs. Since multidisciplinary management can improve a patient’s prognosis, it should be more extensively applied to this fragile group of patients.

Published
2023
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9. Anti-LGI1 encephalitis following COVID-19 vaccination: a case series

Author

Gian Maria Asioli, Lorenzo Muccioli, Valentina Barone, Sebastiano Giacomozzi, Simone Rossi, Tania Silvestri, Luca Spinardi, Vincenzo Mastrangelo, Giorgia Bernabè, Chiara Leta, Mariachiara Brutto, Chiara Faggiano, Rocco Liguori, Francesca Bisulli, Marco Longoni, Paolo Tinuper, Maria Guarino, and Pietro Cortelli

Subjects
COVID-19 Vaccines, Neurology, Limbic Encephalitis, Vaccination, COVID-19, Encephalitis, Humans, Neurology (clinical), Autoantibodies
Published
2022
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10. The impact of PM2.5, PM10 and NO2 on Covid-19 severity in a sample of patients with multiple sclerosis: A case-control study

Author

Ponzano, Marta, primary, Schiavetti, Irene, additional, Bergamaschi, Roberto, additional, Pisoni, Enrico, additional, Bellavia, Andrea, additional, Mallucci, Giulia, additional, Carmisciano, Luca, additional, Inglese, Matilde, additional, Cordioli, Cinzia, additional, Marfia, Girolama Alessandra, additional, Cocco, Eleonora, additional, Immovilli, Paolo, additional, Pesci, Ilaria, additional, Scandellari, Cinzia, additional, Cavalla, Paola, additional, Radaelli, Marta, additional, Vianello, Marika, additional, Vitetta, Francesca, additional, Montepietra, Sara, additional, Amato, Maria Pia, additional, Fioretti, Cristina, additional, Filippi, Massimo, additional, Sartori, Arianna, additional, Caleri, Francesca, additional, Clerico, Marinella, additional, Gallo, Antonio, additional, Conte, Antonella, additional, Clerici, Raffaella, additional, De Luca, Giovanna, additional, Boneschi, Filippo Martinelli, additional, Cantello, Roberto, additional, Calabrese, Massimiliano, additional, Tortorella, Carla, additional, Rovaris, Marco, additional, Verrengia, Elena Pinuccia, additional, Patti, Francesco, additional, Morra, Vincenzo Brescia, additional, Salvetti, Marco, additional, Sormani, Maria Pia, additional, Gianmarco, Abbadessa, additional, Umberto, Aguglia, additional, Lia, Allegorico, additional, Maria, Allegri Rossi Beatrice, additional, Anastasia, Alteno, additional, Pia, Amato Maria, additional, Pietro, Annovazzi, additional, Carlo, Antozzi, additional, Lucia, Appendino, additional, Sebastiano, Arena, additional, Viola, Baione, additional, Roberto, Balgera, additional, Valeria, Barcella, additional, Damiano, Baroncini, additional, Caterina, Barrilà, additional, Mario A, Battaglia, additional, Alessandra, Bellacosa, additional, Gianmarco, Bellucci, additional, Roberto, Bergamaschi, additional, Valeria, Bergamaschi, additional, Daiana, Bezzini, additional, Beatrice, Biolzi, additional, Alvino, Bisecco, additional, Simona, Bonavita, additional, Giovanna, Borriello, additional, Chiara, Bosa, additional, Antonio, Bosco, additional, Francesca, Bovis, additional, Marco, Bozzali, additional, Laura, Brambilla, additional, Vincenzo, Brescia Morra, additional, Giampaolo, Brichetto, additional, Maria, Buccafusca, additional, Elisabetta, Bucciantini, additional, Sebastiano, Bucello, additional, Chiara, Buscarinu Maria, additional, Paola, Cabboi Maria, additional, Massimiliano, Calabrese, additional, Francesca, Calabria, additional, Francesca, Caleri, additional, Federico, Camilli, additional, Maria, Caniatti Luisa, additional, Roberto, Cantello, additional, Marco, Capobianco, additional, Ruggero, Capra, additional, Rocco, Capuano, additional, Luca, Carmisciano, additional, Patrizia, Carta, additional, Paola, Cavalla, additional, Grazia, Celani Maria, additional, Maria, Cellerino, additional, Raffaella, Cerqua, additional, Clara, Chisari, additional, Raffaella, Clerici, additional, Marinella, Clerico, additional, Eleonora, Cocco, additional, Gaia, Cola, additional, Giancarlo, Comi, additional, Paolo, Confalonieri, additional, Antonella, Conte, additional, Zaffira, Conti Marta, additional, Christian, Cordano, additional, Susanna, Cordera, additional, Cinzia, Cordioli, additional, Francesco, Corea, additional, Claudio, Correale, additional, Salvatore, Cottone, additional, Francesco, Crescenzo, additional, Erica, Curti, additional, Alessandro, d'Ambrosio, additional, Emanuele, D'Amico, additional, Chiara, Danni Maura, additional, Alessia, d'Arma, additional, Vincenzo, Dattola, additional, Stefano, de Biase, additional, Giovanna, De Luca, additional, Federica, De Mercanti Stefania, additional, Paolo, De Mitri, additional, Nicola, De Rossi, additional, Nicola, De Stefano, additional, Maria, Della Cava Fabio, additional, Marco, Della Cava, additional, Sonia, Di Lemme, additional, Mario, di Napoli, additional, Alessia, Di Sapio, additional, Renato, Docimo, additional, Anna, Dutto, additional, Luana, Evangelista, additional, Salvatore, Fanara, additional, Roberta, Fantozzi, additional, Diana, Ferraro, additional, Teresa, Ferrò Maria, additional, Massimo, Filippi, additional, Cristina, Fioretti, additional, Mario, Fratta, additional, Jessica, Frau, additional, Marzia, Fronza, additional, Roberto, Furlan, additional, Alberto, Gajofatto, additional, Antonio, Gallo, additional, Paolo, Gallo, additional, Claudio, Gasperini, additional, Anna, Ghazaryan, additional, Bruno, Giometto, additional, Francesca, Gobbin, additional, Flora, Govone, additional, Franco, Granella, additional, Erica, Grange, additional, Grazia, Grasso Maria, additional, Luigi ME, Grimaldi, additional, Angelica, Guareschi, additional, Clara, Guaschino, additional, Simone, Guerrieri, additional, Donata, Guidetti, additional, Barbara, Juergenson Ina, additional, Pietro, Iaffaldano, additional, Antonio, Ianniello, additional, Luigi, Iasevoli, additional, Paolo, Immovilli, additional, Daniele, Imperiale, additional, Teresa, Infante Maria, additional, Matilde, Inglese, additional, Rosa, Iodice, additional, Aniello, Iovino, additional, Giovanna, Konrad, additional, Doriana, Landi, additional, Roberta, Lanzillo, additional, Caterina, Lapucci, additional, Luigi, Lavorgna, additional, Rita, L'Episcopo Maria, additional, Serena, Leva, additional, Giuseppe, Liberatore, additional, Marianna, Lo Re, additional, Marco, Longoni, additional, Leonardo, Lopiano, additional, Lorena, Lorefice, additional, Matteo, Lucchini, additional, Giacomo, Lus, additional, Davide, Maimone, additional, Maria, Malentacchi, additional, Giulia, Mallucci, additional, Simona, Malucchi, additional, Rosa, Mancinelli Chiara, additional, Luca, Mancinelli, additional, Paolo, Manganotti, additional, Teresa, Maniscalco Giorgia, additional, Vittorio, Mantero, additional, Sabrina, Marangoni, additional, Damiano, Marastoni, additional, Alessandra, Marfia Girolama, additional, Fabiana, Marinelli, additional, Alessandro, Marti, additional, Filippo, Martinelli Boneschi, additional, Federco, Masserano Zoli, additional, Francesca, Matta, additional, Laura, Mendozzi, additional, Giuseppe, Meucci, additional, Silvia, Miante, additional, Giuseppina, Miele, additional, Eva, Milano, additional, Massimiliano, Mirabella, additional, Rosanna, Missione, additional, Marcello, Moccia, additional, Lucia, Moiola, additional, Sara, Montepietra, additional, Margherita, MontiBragadin, additional, Federico, Montini, additional, Roberta, Motta, additional, Raffaele, Nardone, additional, Gabri, Nicoletti Carolina, additional, Eduardo, Nobile-Orazio, additional, Agostino, Nozzolillo, additional, Marco, Onofrj, additional, Riccardo, Orlandi, additional, Anna, Palmieri, additional, Damiano, Paolicelli, additional, Livia, Pasquali, additional, Fulvio, Pasquin, additional, Luisa, Pastò, additional, Francesco, Patti, additional, Elisabetta, Pedrazzoli, additional, Paola, Perini, additional, Ilaria, Pesci, additional, Maria, Petracca, additional, Alfredo, Petrone, additional, Carlo, Piantadosi, additional, Anna M, Pietroboni, additional, Federica, Pinardi, additional, Marta, Ponzano, additional, Emilio, Portaccio, additional, Mattia, Pozzato, additional, Carlo, Pozzilli, additional, Luca, Prosperini, additional, Alessandra, Protti, additional, Eugenio, Pucci, additional, Marta, Radaelli, additional, Paolo, Ragonese, additional, Sarah, Rasia, additional, Sabrina, Realmuto, additional, Anna, Repice, additional, Eleonora, Rigoni, additional, Teresa, Rilla Maria, additional, Francesca, Rinaldi, additional, Marcello, Romano Calogero, additional, Marco, Ronzoni, additional, Marco, Rovaris, additional, Francesca, Ruscica, additional, Loredana, Sabattini, additional, Giuseppe, Salemi, additional, Marco, Salvetti, additional, Lorenzo, Saraceno, additional, Alessia, Sartori, additional, Arianna, Sartori, additional, Elvira, Sbragia, additional, Cinzia, Scandellari, additional, Ilaria, Scarano Giuditta, additional, Valentina, Scarano, additional, Irene, Schiavetti, additional, Maria, Sessa, additional, Caterina, Sgarito, additional, Grazia, Sibilia, additional, Gabriele, Siciliano, additional, Alessio, Signori, additional, Elisabetta, Signoriello, additional, Leonardo, Sinisi, additional, Francesca, Sireci, additional, Patrizia, Sola, additional, Claudio, Solaro, additional, Pia, Sormani Maria, additional, Stefano, Sotgiu, additional, Maddalena, Sparaco, additional, Laura, Stromillo Maria, additional, Silvia, Strumia, additional, Laura, Susani Emanuela, additional, Giulietta, Tabiadon, additional, Francesco, Teatini, additional, Gioacchino, Tedeschi, additional, Valentina, Tomassini, additional, Simone, Tonietti, additional, Valentina, Torri Clerici, additional, Carla, Tortorella, additional, Simona, Toscano, additional, Rocco, Totaro, additional, Maria, Trojano, additional, Maria, Trotta, additional, Gabriella, Turano, additional, Monica, Ulivelli, additional, Manzo, Valentino, additional, Giovanna, Vaula, additional, Domizia, Vecchio, additional, Marco, Vercellino, additional, Pinuccia, Verrengia Elena, additional, Marika, Vianello, additional, Eleonora, Virgilio, additional, Francesca, Vitetta, additional, Stefano, Vollaro, additional, Mauro, Zaffaroni, additional, Mauro, Zampolini, additional, Roberto, Zarbo Ignazio, additional, Antonio, Zito, additional, and Luigi, Zuliani, additional

Published
2022
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11. Sex differences in outcome after thrombectomy for acute ischemic stroke. A propensity score-matched study

Author

Ilaria, Casetta, Enrico, Fainardi, Giovanni, Pracucci, Valentina, Saia, Fabrizio, Sallustio, Valerio, da Ros, Sergio, Nappini, Patrizia, Nencini, Guido, Bigliardi, Sergio, Vinci, Francesco, Grillo, Sandra, Bracco, Rossana, Tassi, Mauro, Bergui, Paolo, Cerrato, Andrea, Saletti, Alessandro, De Vito, Roberto, Gasparotti, Mauro, Magoni, Luigi, Simonetti, Andrea, Zini, Maria, Ruggiero, Marco, Longoni, Lucio, Castellan, Laura, Malfatto, Paola, Castellini, Mirco, Cosottini, Alessio, Comai, Enrica, Franchini, Emilio, Lozupone, Giacomo, Della Marca, Edoardo, Puglielli, Alfonsina, Casalena, Claudio, Baracchini, Daniele, Savio, Enrica, Duc, Giuseppe, Ricciardi, Manuel, Cappellari, Luigi, Chiumarulo, Marco, Petruzzellis, Anna, Cavallini, Nicola, Cavasin, Adriana, Critelli, Nicola, Burdi, Giovanni, Boero, Andrea, Giorgianni, Maurizio, Versino, Francesco, Biraschi, Ettore, Nicolini, Simone, Comelli, Maurizio, Melis, Riccardo, Padolecchia, Tiziana, Tassinari, Nunzio, Paolo Nuzzi, Simona, Marcheselli, Simona, Sacco, Paolo, Invernizzi, Ivan, Gallesio, Delfina, Ferrandi, Maria, Fancello, Maria, Valeria Saddi, Monia, Russo, Aldo, Pischedda, Antonio, Baule, Marina, Mannino, Francesco, Florio, Vincenzo, Inchingolo, Maria, Elena Flacco, Daniele, Romano, Umberto, Silvagni, Domenico, Inzitari, Salvatore, Mangiafico, and Danilo, Toni

Subjects
Ischemic stroke, thrombectomy, Original Research Articles, sex, Neurology (clinical), Cardiology and Cardiovascular Medicine, NO, Ischemic stroke, thrombectomy, sex
Abstract

Background and purpose We sought to investigate whether there are gender differences in clinical outcome after stroke due to large vessel occlusion (LVO) after mechanical thrombectomy (EVT) in a large population of real-world patients. Methods From the Italian Registry of Endovascular Thrombectomy, we extracted clinical and outcome data of patients treated for stroke due to large vessel occlusion. We compared clinical and safety outcomes in men and women who underwent EVT alone or in combination with intravenous thrombolysis (IVT) in the total population and in a Propensity Score matched set. Results Among 3422 patients included in the study, 1801 (52.6%) were women. Despite older age at onset (mean 72.4 vs 68.7; p Conclusions Subject to the limitations of a non-randomized comparison, women with stroke due to LVO treated with mechanical thrombectomy had a better chance to achieve complete recanalization, and 3-month functional independence than men. The results could be driven by women who underwent combined treatment.

Published
2022

12. Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study

Author

Faraz Faghri, Fabian Brunn, Anant Dadu, Elisabetta Zucchi, Ilaria Martinelli, Letizia Mazzini, Rosario Vasta, Antonio Canosa, Cristina Moglia, Andrea Calvo, Michael A Nalls, Roy H Campbell, Jessica Mandrioli, Bryan J Traynor, Adriano Chiò, Umberto Manera, Francesca Palumbo, Alessandro Bombaci, Maurizio Grassano, Maura Brunetti, Federico Casale, Giuseppe Fuda, Paolina Salamone, Barbara Iazzolino, Laura Peotta, Paolo Cugnasco, Giovanni De Marco, Maria Claudia Torrieri, Salvatore Gallone, Marco Barberis, Luca Sbaiz, Salvatore Gentile, Alessandro Mauro, Fabiola De Marchi, Lucia Corrado, Sandra D'Alfonso, Antonio Bertolotto, Daniele Imperiale, Marco De Mattei, Salvatore Amarù, Cristoforo Comi, Carmelo Labate, Fabio Poglio, Luigi Ruiz, Lucia Testa, Eugenia Rota, Paolo Ghiglione, Nicola Launaro, Alessia Di Sapio, Nicola Fini, Giulia Gianferrari, Cecilia Simonini, Stefano Meletti, Rocco Liguori, Veria Vacchiano, Fabrizio Salvi, Ilaria Bartolomei, Roberto Michelucci, Pietro Cortelli, Rita Rinaldi, Anna Maria Borghi, Andrea Zini, Elisabetta Sette, Valeria Tugnoli, Maura Pugliatti, Elena Canali, Luca Codeluppi, Franco Valzania, Lucia Zinno, Giovanni Pavesi, Doriana Medici, Giovanna Pilurzi, Emilio Terlizzi, Donata Guidetti, Silvia De Pasqua, Mario Santangelo, Patrizia De Massis, Martina Bracaglia, Mario Casmiro, Pietro Querzani, Simonetta Morresi, Marco Longoni, Alberto Patuelli, Susanna Malagù, Marco Currò Dossi, Simone Vidale, Salvatore Ferro, Faghri F., Brunn F., Dadu A., Chio A., Calvo A., Moglia C., Canosa A., Manera U., Vasta R., Palumbo F., Bombaci A., Grassano M., Brunetti M., Casale F., Fuda G., Salamone P., Iazzolino B., Peotta L., Cugnasco P., De Marco G., Torrieri M.C., Gallone S., Barberis M., Sbaiz L., Gentile S., Mauro A., Mazzini L., De Marchi F., Corrado L., D'Alfonso S., Bertolotto A., Imperiale D., De Mattei M., Amaru S., Comi C., Labate C., Poglio F., Ruiz L., Testa L., Rota E., Ghiglione P., Launaro N., Di Sapio A., Mandrioli J., Fini N., Martinelli I., Zucchi E., Gianferrari G., Simonini C., Meletti S., Liguori R., Vacchiano V., Salvi F., Bartolomei I., Michelucci R., Cortelli P., Rinaldi R., Borghi A.M., Zini A., Sette E., Tugnoli V., Pugliatti M., Canali E., Codeluppi L., Valzania F., Zinno L., Pavesi G., Medici D., Pilurzi G., Terlizzi E., Guidetti D., De Pasqua S., Santangelo M., De Massis P., Bracaglia M., Casmiro M., Querzani P., Morresi S., Longoni M., Patuelli A., Malagu S., Curro Dossi M., Vidale S., Ferro S., Nalls M.A., Campbell R.H., and Traynor B.J.

Subjects
Cohort Studies, Machine Learning, Health Information Management, Amyotrophic Lateral Sclerosis, Medicine (miscellaneous), Cluster Analysis, Humans, Decision Sciences (miscellaneous), Health Informatics, ALS, population based study, Article, United States, Retrospective Studies
Abstract

Amyotrophic lateral sclerosis (ALS) is known to represent a collection of overlapping syndromes. Various classification systems based on empirical observations have been proposed, but it is unclear to what extent they reflect ALS population substructures. We aimed to use machine-learning techniques to identify the number and nature of ALS subtypes to obtain a better understanding of this heterogeneity, enhance our understanding of the disease, and improve clinical care.In this retrospective study, we applied unsupervised Uniform Manifold Approximation and Projection [UMAP]) modelling, semi-supervised (neural network UMAP) modelling, and supervised (ensemble learning based on LightGBM) modelling to a population-based discovery cohort of patients who were diagnosed with ALS while living in the Piedmont and Valle d'Aosta regions of Italy, for whom detailed clinical data, such as age at symptom onset, were available. We excluded patients with missing Revised ALS Functional Rating Scale (ALSFRS-R) feature values from the unsupervised and semi-supervised steps. We replicated our findings in an independent population-based cohort of patients who were diagnosed with ALS while living in the Emilia Romagna region of Italy.Between Jan 1, 1995, and Dec 31, 2015, 2858 patients were entered in the discovery cohort. After excluding 497 (17%) patients with missing ALSFRS-R feature values, data for 42 clinical features across 2361 (83%) patients were available for the unsupervised and semi-supervised analysis. We found that semi-supervised machine learning produced the optimum clustering of the patients with ALS. These clusters roughly corresponded to the six clinical subtypes defined by the Chiò classification system (ie, bulbar, respiratory, flail arm, classical, pyramidal, and flail leg ALS). Between Jan 1, 2009, and March 1, 2018, 1097 patients were entered in the replication cohort. After excluding 108 (10%) patients with missing ALSFRS-R feature values, data for 42 clinical features across 989 patients were available for the unsupervised and semi-supervised analysis. All 1097 patients were included in the supervised analysis. The same clusters were identified in the replication cohort. By contrast, other ALS classification schemes, such as the El Escorial categories, Milano-Torino clinical staging, and King's clinical stages, did not adequately label the clusters. Supervised learning identified 11 clinical parameters that predicted ALS clinical subtypes with high accuracy (area under the curve 0·982 [95% CI 0·980-0·983]).Our data-driven study provides insight into the ALS population substructure and confirms that the Chiò classification system successfully identifies ALS subtypes. Additional validation is required to determine the accuracy and clinical use of these algorithms in assigning clinical subtypes. Nevertheless, our algorithms offer a broad insight into the clinical heterogeneity of ALS and help to determine the actual subtypes of disease that exist within this fatal neurodegenerative syndrome. The systematic identification of ALS subtypes will improve clinical care and clinical trial design.US National Institute on Aging, US National Institutes of Health, Italian Ministry of Health, European Commission, University of Torino Rita Levi Montalcini Department of Neurosciences, Emilia Romagna Regional Health Authority, and Italian Ministry of Education, University, and Research.For the Italian and German translations of the abstract see Supplementary Materials section.

Published
2022

13. Drip-and-ship toward mothership model for mechanical thrombectomy during COVID-19 pandemic: a retrospective analysis

Author

Matteo Paolucci, Sara Biguzzi, Francesco Cordici, Michele Romoli, Mattia Altini, Vanni Agnoletti, Andrea Fabbri, Raffaella Francesconi, Maurizio Menarini, Tiziana Perin, Maria Ruggiero, and Marco Longoni

Subjects
Fibrinolytic therapy, Psychiatry and Mental health, Stroke network model, Neurology (clinical), Dermatology, General Medicine, Covid-19, Thrombolysis, Thrombectomy
Abstract

Introduction During the first wave of the COVID-19 pandemic in spring 2020, our stroke network shifted from a drip-and-ship strategy (transport of acute ischemic stroke patients to the nearest primary stroke centers) toward a mothership model (direct transportation to the Comprehensive Stroke Center). We retrospectively analyzed stroke network performances comparing the two models. Patients and methods All spoke-district patients treated with endovascular thrombectomy (EVT) between 15th March–15th June 2019 (drip-and-ship) and 2020 (mothership) were considered. We compared onset-to-groin time (OGT) and onset-to-needle time (ONT) between the two periods. Secondarily, we investigated other performances parameters (percentage of IV thrombolysis, timing of diagnostic and treatment) and clinical outcome (3-month modified Rankin Scale). Results Twenty-four spoke-district patients in 2019 (drip-and-ship) and 26 in 2020 (mothership) underwent EVT. The groups did not differ for age, sex, risk factors, pre-stroke mRS 0–1, NIHSS, and ASPECTS distribution. The MS model showed a significant decrease of the OGT (162.5 min vs 269 min, p = 0.001) without significantly affecting the ONT (140.5 min vs 136 min, p = 0.853), ensuring a higher number of IV thrombolysis in combination with EVT (p = 0.030). The mothership model showed longer call-to-door time (median + 23 min, p

Published
2021

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

Author

Schiavetti I., Carmisciano L., Ponzano M., Cordioli C., Cocco E., Marfia G. A., Inglese M., Filippi M., Radaelli M., Bergamaschi R., Immovilli P., Capobianco M., De Rossi N., Brichetto G., Scandellari C., Cavalla P., Pesci I., Confalonieri P., Perini P., Trojano M., Lanzillo R., Tedeschi G., Comi G., Battaglia M. A., Patti F., Salvetti M., Sormani M. P., Abbadessa G., Aguglia U., Allegorico L., Rossi Allegri B. M., Alteno A., Amato M. P., Annovazzi P., Antozzi C., Appendino L., Arena S., Baione V., Balgera R., Barcella V., Baroncini D., Barrila C., Bellacosa A., Bellucci G., Bergamaschi V., Bezzini D., Biolzi B., Bisecco A., Bonavita S., Borriello G., Bosa C., Bosco A., Bovis F., Bozzali M., Brambilla L., Brescia Morra V., Buccafusca M., Bucciantini E., Bucello S., Buscarinu M. C., Cabboi M. P., Calabrese M., Calabria F., Caleri F., Camilli F., Caniatti L. M., Cantello R., Capra R., Capuano R., Carta P., Celani M. G., Cellerino M., Cerqua R., Chisari C., Clerici R., Clerico M., Cola G., Conte A., Conti M. Z., Cordano C., Cordera S., Corea F., Correale C., Cottone S., Crescenzo F., Curti E., d'Ambrosio A., D'Amico E., Danni M. C., d'Arma A., Dattola V., de Biase S., De Luca G., De Mercanti S. F., De Mitri P., De Stefano N., Della Cava F. M., Cava M. D., Di Lemme S., di Napoli M., Di Sapio A., Docimo R., Dutto A., Evangelista L., Fanara S., Fantozzi R., Ferraro D., Ferro M. T., Fioretti C., Fratta M., Frau J., Fronza M., Furlan R., Gajofatto A., Gallo A., Gallo P., Gasperini C., Ghazaryan A., Giometto B., Gobbin F., Govone F., Granella F., Grange E., Grasso M. G., Grimaldi L. M. E., Guareschi A., Guaschino C., Guerrieri S., Guidetti D., Juergenson I. B., Iaffaldano P., Ianniello A., Iasevoli L., Imperiale D., Infante M. T., Iodice R., Iovino A., Konrad G., Landi D., Lapucci C., Lavorgna L., L'Episcopo M. R., Leva S., Liberatore G., Lo Re M., Longoni M., Lopiano L., Lorefice L., Lucchini M., Lus G., Maimone D., Malentacchi M., Mallucci G., Malucchi S., Mancinelli C. R., Mancinelli L., Manganotti P., Maniscalco G. T., Mantero V., Marangoni S., Marastoni D., Marinelli F., Marti A., Boneschi Martinelli F., Masserano Z. F., Matta F., Mendozzi L., Meucci G., Miante S., Miele G., Milano E., Mirabella M., Missione R., Moccia M., Moiola L., Montepietra S., MontiBragadin M., Montini F., Motta R., Nardone R., Gabri Nicoletti C., Nobile-Orazio E., Nozzolillo A., Onofrj M., Orlandi R., Palmieri A., Paolicelli D., Pasquali L., Pasto L., Pedrazzoli E., Petracca M., Petrone A., Piantadosi C., Pietroboni A. M., Pinardi F., Portaccio E., Pozzato M., Pozzilli C., Prosperini L., Protti A., Ragonese P., Rasia S., Realmuto S., Repice A., Rigoni E., Rilla M. T., Rinaldi F., Romano C. M., Ronzoni M., Rovaris M., Ruscica F., Sabattini L., Salemi G., Saraceno L., Sartori A., Sbragia E., Scarano G. I., Scarano V., Sessa M., Sgarito C., Sibilia G., Siciliano G., Signori A., Signoriello E., Sinisi L., Sireci F., Sola P., Solaro C., Sotgiu S., Sparaco M., Stromillo M. L., Strumia S., Susani E. L., Tabiadon G., Teatini F., Tomassini V., Tonietti S., Torri V., Tortorella C., Toscano S., Totaro R., Trotta M., Turano G., Ulivelli M., Valentino M., Vaula G., Vecchio D., Vercellino M., Verrengia E. P., Vianello M., Virgilio E., Vitetta F., Vollaro S., Zaffaroni M., Zampolini M., Zarbo I. R., Zito A., Zuliani L., Schiavetti, Irene, Carmisciano, Luca, Ponzano, Marta, Cordioli, Cinzia, Cocco, Eleonora, Marfia, Girolama Alessandra, Inglese, Matilde, Filippi, Massimo, Radaelli, Marta, Bergamaschi, Roberto, Immovilli, Paolo, Capobianco, Marco, De Rossi, Nicola, Brichetto, Giampaolo, Scandellari, Cinzia, Cavalla, Paola, Pesci, Ilaria, Confalonieri, Paolo, Perini, Paola, Trojano, Maria, Lanzillo, Roberta, Tedeschi, Gioacchino, Comi, Giancarlo, Battaglia, Mario Alberto, Patti, Francesco, Salvetti, Marco, Sormani, Maria Pia, Gianmarco, Abbadessa, Umberto, Aguglia, Allegorico, Lia, Beatrice Maria Rossi Allegri, Anastasia, Alteno, Amato, MARIA PIA, Pietro, Annovazzi, Carlo, Antozzi, Lucia, Appendino, Sebastiano, Arena, Viola, Baione, Roberto, Balgera, Valeria, Barcella, Damiano, Baroncini, Caterina, Barrilà, Alessandra, Bellacosa, Gianmarco, Bellucci, Valeria, Bergamaschi, Daiana, Bezzini, Beatrice, Biolzi, Bisecco, Alvino, Simona, Bonavita, Giovanna, Borriello, Chiara, Bosa, Antonio, Bosco, Francesca, Bovi, Marco, Bozzali, Laura, Brambilla, BRESCIA MORRA, Vincenzo, Maria, Buccafusca, Elisabetta, Bucciantini, Sebastiano, Bucello, Maria Chiara Buscarinu, Maria Paola Cabboi, Massimiliano, Calabrese, Francesca, Calabria, Francesca, Caleri, Federico, Camilli, Luisa Maria Caniatti, Roberto, Cantello, Ruggero, Capra, Rocco, Capuano, Patrizia, Carta, Maria Grazia Celani, Maria, Cellerino, Raffaella, Cerqua, Clara, Chisari, Raffaella, Clerici, Marinella, Clerico, Gaia, Cola, Antonella, Conte, Marta Zaffira Conti, Christian, Cordano, Susanna, Cordera, Francesco, Corea, Claudio, Correale, Salvatore, Cottone, Francesco, Crescenzo, Erica, Curti, Alessandro, D’Ambrosio, Emanuele, D’Amico, Maura Chiara Danni, Alessia, D’Arma, Vincenzo, Dattola, Stefano de Biase, Giovanna De Luca, Stefania Federica De Mercanti, Paolo De Mitri, Nicola De Stefano, Fabio Maria Della Cava, Marco Della Cava, Sonia Di Lemme, Mario di Napoli, Alessia Di Sapio, Renato, Docimo, Anna, Dutto, Luana, Evangelista, Salvatore, Fanara, Roberta, Fantozzi, Diana, Ferraro, Maria Teresa Ferrò, Cristina, Fioretti, Mario, Fratta, Jessica, Frau, Marzia, Fronza, Roberto, Furlan, Alberto, Gajofatto, Gallo, Antonio, Paolo, Gallo, Claudio, Gasperini, Anna, Ghazaryan, Bruno, Giometto, Francesca, Gobbin, Flora, Govone, Franco, Granella, Erica, Grange, Grasso, MARIA GRAZIA, Grimaldi, Luigi M. 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A., Inglese, M., Filippi, M., Radaelli, M., Bergamaschi, R., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Scandellari, C., Cavalla, P., Pesci, I., Confalonieri, P., Perini, P., Trojano, M., Lanzillo, R., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Rossi Allegri, B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia Morra, V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, F. M., Cava, M. D., Di Lemme, S., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Fantozzi, R., Ferraro, D., Ferro, M. T., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Furlan, R., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Grimaldi, L. M. E., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Juergenson, I. B., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Iodice, R., Iovino, A., Konrad, G., Landi, D., Lapucci, C., Lavorgna, L., L'Episcopo, M. R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, M., Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, G. T., Mantero, V., Marangoni, S., Marastoni, D., Marinelli, F., Marti, A., Boneschi Martinelli, F., Masserano, Z. F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, M., Missione, R., Moccia, M., Moiola, L., Montepietra, S., Montibragadin, M., Montini, F., Motta, R., Nardone, R., Gabri Nicoletti, C., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scarano, G. I., Scarano, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, E. L., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., and Zuliani, L.

Subjects
Multiple Sclerosis, Anosmia, Clinical Sciences, neurological disorders, Neurodegenerative, Settore MED/26, demyelinating disease, COVID-19, demyelinating diseases, disease-modifying treatment, multiple sclerosis, Humans, neurological disorder, Aged, Neurology & Neurosurgery, SARS-CoV-2, Pain Research, Neurosciences, Brain Disorders, Settore MED/26 - NEUROLOGIA, Good Health and Well Being, Neurology, multiple sclerosi, Neurology (clinical), MuSC-19 Study Group, Ageusia, Human
Abstract

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.

Published
2022

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