Other Clinical Trial - Risk Identification of Long-term Complications

Status Enrolling by invitation

Clinical Trial 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.

Clinical Trial 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. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT06235866
Study type	Observational
Source	Wuhan Central Hospital
Contact
Status	Enrolling by invitation
Phase
Start date	February 1, 2024
Completion date	November 1, 2025

View Details

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