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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, E., Parente, P., Natalello, G., Soldati, S., Bosello, S.L., Barbara, A., Sorge, C., Axelrod, S., Verardi, L., Cerasuolo, P.G., Peluso, G., Gemma, A., Davoli, M., Biliotti, D., Bruzzese, V., Goletti, M., Di Martino, M., D'Agostino, M.A.. - 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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2023
covid-19; epidemiology; public health; systemic autoimmune rheumatic disease
01 Pubblicazione su rivista::01f Lettera, Nota
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, E., Parente, P., Natalello, G., Soldati, S., Bosello, S.L., Barbara, A., Sorge, C., Axelrod, S., Verardi, L., Cerasuolo, P.G., Peluso, G., Gemma, A., Davoli, M., Biliotti, D., Bruzzese, V., Goletti, M., Di Martino, M., D'Agostino, M.A.. - In: JOINT BONE SPINE. - ISSN 1778-7254. - 90:2(2023), pp. 1-3. [10.1016/j.jbspin.2022.105497]
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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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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1671057
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