ClinicalTrials.Veeva

Menu

Microecology and Host Immunity in Patients With Severe COVID-19 Infection

C

Chinese PLA General Hospital (301 Hospital)

Status

Enrolling

Conditions

Microbiome,Immune Function, Critically Ill

Study type

Observational

Funder types

Other

Identifiers

NCT05670275
Respiratory microecology

Details and patient eligibility

About

The purpose of this study was to analyze the relationship between the microbial community, host immunity and the prognosis of patients with severe COVID-19.

Full description

Methods: Bronchoalveolar lavage specimens of patients with severe COVID-19 were collected and studied to analyze the relationship between the composition of patients' microecology and the occurrence and development of disease.

Enrollment

200 estimated patients

Sex

All

Ages

18 to 100 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

    1. Respiratory distress, respiratory rate ≥ 30 times/minute

    2. At rest, oxygen saturation ≤ 93%

    3)PaO2/FiO2 ≤300mmHg

    1. Shock

    2. Respiratory failure requires mechanical ventilation

    3. Complicated with other organ failure requires ICU monitoring and treatment

    4. Or in case of any of the following conditions, even if none of the above conditions is found, it is also managed as a critical case: ① pulmonary imaging shows that the lesion has significantly progressed more than 50% within 24-48 hours; ② Age>60 years old; ③ Complicated with serious chronic diseases (including diabetes, hypertension, coronary heart disease, malignant tumor, structural lung disease, pulmonary heart disease and immunosuppressed population)

Exclusion criteria

    1. Pregnant women

    2. Age<18

    3. Mental disorders

    4. Patients with long-term mechanical ventilation for more than 60 days

    5. Disagreement group researcher

Trial contacts and locations

1

Loading...

Central trial contact

Lin Wang, doctor

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems