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Chronic related group classification system as a new public health tool to predict risk and outcome of covid-19 in patients with systemic rheumatic diseases. A population-based study of more than forty thousand patients / De Lorenzis, Enrico; Parente, Paolo; Natalello, Gerlando; Soldati, Salvatore; Bosello, Silvia Laura; Barbara, Andrea; Sorge, Chiara; Axelrod, Svetlana; Verardi, Lucrezia; Cerasuolo, Pier Giacomo; Peluso, Giusy; Gemma, Antonella; Davoli, Marina; Biliotti, Donatella; Bruzzese, Vincenzo; Goletti, Mauro; Di Martino, Mirko; D'Agostino, Maria Antonietta. - In: JOINT BONE SPINE. - ISSN 1778-7254. - 90:2(2023), pp. 1-3. [10.1016/j.jbspin.2022.105497]
Chronic related group classification system as a new public health tool to predict risk and outcome of covid-19 in patients with systemic rheumatic diseases. A population-based study of more than forty thousand patients
Barbara, Andrea;
2023
Abstract
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De Lorenzis _Chronic_2023.pdf
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Note: Chronic related group classification system as a new public health tool to predict risk and outcome of COVID19 in patients with systemic rheumatic diseases: A population-based study of more than forty thousand patients
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