Severe COVID-19
Conditions
Keywords
COVID-19 Pneumonia, Long-term complications, Lung function
Brief summary
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.
Detailed description
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.
Interventions
OTHERPulmonary rehabilitation
According to the pulmonary rehabilitation guidelines, patients with severe COVID-19 were given regular rehabilitation treatment, including breathing exercises and physical rehabilitation exercises.
Sponsors
Wuhan Central Hospital
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Lung function | 1 year | Pulmonary function indicators improved gradually |
| Imaging of the lung | 1 year | The residual lesions in the lung were gradually absorbed |
Countries
China
Outcome results
None listed