Risk Identification of Long-term Complications

Risk Identification of Long-term Complications in the Recover Patients With Severe COVID-19

The investigators retrospectively analyze the clinical characteristics of severe COVID-19 in our hospital, and then establish a prediction model for long-term complications in patients with severe COVID-19, and strengthen follow-up to improve the prognosis of patients.

At present, there is a lack of prediction models for the long-term complications of severe COVID-19. Therefore, the investigators used the hospital big data platform to retrospectively analyze the clinical characteristics of severe COVID-19 in our hospital, and conducted cohort follow-up of the changes in lung function including FEV1, FVC，FEV1% and DLCO, etc and and high-resolution CT of patients after discharge. COX model and other statistical methods were used to establish a prediction model for long-term complications of severe COVID-19, and early identification and intervention, strengthen follow-up, and improve the prognosis of patients.

Inclusion Criteria:

The patient met the diagnostic criteria for severe COVID-19

Exclusion Criteria:

• Pregnant women Patients who died of COVID-19 Patients younger than 18 years of age without pulmonary CT