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 - 05/03/23

Enrico De Lorenzis ^{a, b}, Paolo Parente ^a, Gerlando Natalello ^b, Salvatore Soldati ^c, Silvia Laura Bosello ^b, Andrea Barbara ^{a, f}, Chiara Sorge ^c, Svetlana Axelrod ^d, Lucrezia Verardi ^b, Pier Giacomo Cerasuolo ^b, Giusy Peluso ^b, Antonella Gemma ^a, Marina Davoli ^c, Donatella Biliotti ^a, Vincenzo Bruzzese ^{a, e}, Mauro Goletti ^a, Mirko Di Martino ^c, 1

  Mirko Di Martino and Maria Antonietta D’Agostino equally contributed to this work.

, Maria Antonietta D’Agostino ^{b, ⁎}

^a Local public health office Roma 1, Rome, Italy 

^b Division of Rheumatology, Catholic University of the Sacred Heart, Fondazione Policlinico Universitario Agostino-Gemelli IRCSS, 00187 Rome, Italy 

^c Department of Epidemiology, Lazio Regional Health Service, Rome, Italy 

^d Institute of Leadership, University of Sechenov, Moscow, Russia 

^e Department of Internal Medicine, Rheumatology and Gastroenterology, Nuovo Regina Margherita Hospital, Rome, Italy 

^f PhD in Infectious Diseases, Microbiology and Public Health, Cycle XXXVI, Department of Public Health and Infectious Disease, Sapienza University of Rome, Rome, Italy 

^⁎Corresponding author.

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