Use of Compromised Lung Volume in Monitoring Usage of Steroid Therapy on Severe COVID-19

NCT ID: NCT04953247

Last Updated: 2021-07-08

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

72 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-02-07

Study Completion Date

2021-06-20

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Since December 2019, the outbreak of coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern. Although corticosteroid therapy represents a milestone in the management of COVID-19, many questions remain unanswered. The optimal type of corticosteroids, timing of initiation, dose, mode of administration, duration, and dose tapering are still unclear. An approach to resolve these issues is to develop accurate tools to assess or monitor the progression of COVID-19 during the corticosteroid therapy process. Quantitative computed tomography (QCT) analysis may serve as a tool for assessing the severity of COVID-19 and for monitoring its progress. However, the effect of steroids on quantitative chest CT parameters during the treatment process remains unknown. In this retrospectively study, we aimed to assess the association between steroid administration and QCT variables in a longitudinal cohort with COVID-19

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Since December 2019, the outbreak of coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern. Although corticosteroid therapy represents a milestone in the management of COVID-19, many questions remain unanswered. The optimal type of corticosteroids, timing of initiation, dose, mode of administration, duration, and dose tapering are still unclear. An approach to resolve these issues is to develop accurate tools to assess or monitor the progression of COVID-19 during the corticosteroid therapy process. Quantitative computed tomography (QCT) analysis may serve as a tool for assessing the severity of COVID-19 and for monitoring its progress. However, the effect of steroids on quantitative chest CT parameters during the treatment process remains unknown. In this retrospectively study, we aimed to assess the association between steroid administration and QCT variables in a longitudinal cohort with COVID-19.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

COVID-19 Pneumonia Quantitative Computed Tomography

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Methylprednisolone

As there was no consensus on the use of steroids in the early stage of the COVID-19 pandemic, all steroid therapies were initiated at the time of admission at the discretion of attending physicians on the basis of clinical symptoms and CT images. According to our previous experience, intravenous methylprednisolone at a dose of 1.0-1.5 mg/kg every 12 h was initiated for 5 days or until oxygen saturation improved, followed by gradual tapering by 0.5 mg/kg every 3-5 days.

Standard care such as the use of antibiotics, ventilation, laboratory testing, and hemodynamic management were performed following the sixth edition of the Guidelines on the Diagnosis and Treatment of COVID-19 published by the National Health Commission of China.

No interventions assigned to this group

Standard care

Standard care were performed following the sixth edition of the Guidelines on the Diagnosis and Treatment of COVID-19 published by the National Health Commission of China.

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* (1) age 18-90 years
* (2) patients with severe or critical COVID-19.

Exclusion Criteria

* (1) hematological or solid malignancies
* (2) patients with less than two CT scans during hospital stay
* (3) systemic corticosteroid or immunosuppressive therapy in the previous 6 weeks.
Minimum Eligible Age

18 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Guowei Tu

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Guowei Tu

Scientific Secretary for Department of Critical Care Medcine

Responsibility Role SPONSOR_INVESTIGATOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Zhongshan hospital, Fudan university

Shanghai, , China

Site Status

Countries

Review the countries where the study has at least one active or historical site.

China

References

Explore related publications, articles, or registry entries linked to this study.

Su Y, Qiu ZS, Chen J, Ju MJ, Ma GG, He JW, Yu SJ, Liu K, Lure FYM, Tu GW, Zhang YY, Luo Z. Usage of compromised lung volume in monitoring steroid therapy on severe COVID-19. Respir Res. 2022 Apr 29;23(1):105. doi: 10.1186/s12931-022-02025-6.

Reference Type DERIVED
PMID: 35488261 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

CLVMUST

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.