The investigators retrospectively analyze the clinical characteristics of severe COVID-19in our hospital, and then establish a prediction model for long-term complications inpatients with severe COVID-19, and strengthen follow-up to improve the prognosis ofpatients.
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.
Other: Pulmonary rehabilitation
According to the pulmonary rehabilitation guidelines, patients with severe COVID-19 were
given regular rehabilitation treatment, including breathing exercises and physical
rehabilitation exercises.
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
Follow-up of patients with severe COVID-19
Wuhan, China
Not Provided