Risk Identification of Long-term Complications

Wuhan Central Hospital

Status: Invitation-only

Conditions: Severe COVID-19

Treatments: Other: Pulmonary rehabilitation

Study type: Observational

Funder types: Other

Identifiers

NCT06235866

20230922

Details and patient eligibility

About

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.

Full 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.

Enrollment: 500 estimated patients

Sex: All

Ages: 18 to 80 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

500 participants in 1 patient group

Follow-up cohort of patients with severe COVID-19

Description:

The scores of various scales, pulmonary function and imaging changes of patients with severe COVID-19 were collected at 3 months, 6 months and 12 months after rehabilitation and discharge.

Treatment:

Other: Pulmonary rehabilitation