Abstract：Abstract: The aim of the study is to analyze the clinic characteristics and the risk factors of long COVID in patients infected with COVID-19. A total of 1209 patients infected with COVID-19 before August 31, 2023, were enrolled in this study. Demographic data, symptoms of long COVID and laboratory examination of these patients were collected. Single and multi-factor Logistic regression analyses were used to identify the risk factors associated with long COVID. 146 of 1209 patients (12.08%) self-reported long COIVD. The symptoms of long COVID were mainly characterized by fatigue, cough, memory loss and so on. There was no significant difference in laboratory examination between patients with long COVID and patients without long COVID. Multi-factor Logistic regression analysis showed that the risk factor for long COVID were female (aORs=1.69, P=0.007), ≥3 comorbidities (aORs=4.07, P<0.001) and reinfection (aORs=1.94, P=0.002). After the opening of the epidemic, the incidence of long COVID was lower in infected individuals infected predominantly with the omicron strain compared with the incidence of previous strains, and female, ≥3 comorbidities, and reinfection were risk factors for long COVID.
