A Real-world Retrospective Study of Disease Outcomes in Non-severe COVID-19 Patient

NCT ID: NCT05489874

Last Updated: 2022-08-05

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

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Recruitment Status

UNKNOWN

Total Enrollment

2000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-07-14

Study Completion Date

2024-12-30

Brief Summary

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Retrospective analysis of real-world disease outcomes in non-severe COVID-19 patients with high risk factors of progression to severe disease, including death, without definitive anti-SARS-CoV-2 treatment

Detailed Description

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This is a retrospective, observational, real-world study to review outcomes of Mild to Moderate COVID-19 patients admitted to Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine (hereinafter referred to as Ruijin Hospital) from March to June 2022. These patients should be with risk factors for progression to severe disease (including death) and without definitive anti-novel coronavirus (SARS-CoV-2) treatment. The database of this study will be the hospital information system (HIS) of Ruijin Hospital.

Conditions

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COVID-19 Patient

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

1. Age ≥18 years old;
2. A record of positive SARS-CoV-2 nucleic acid test results on the day of admission or on the second day;
3. Diagnosed as mild or common novel coronavirus pneumonia on admission, or with at least one of the following COVID-19-related symptoms on admission: fever, cough, sore throat, nasal congestion or runny nose, headache, muscle pain, nausea, vomiting, diarrhea , shortness of breath or difficulty breathing, chills or chills;
4. Documented or diagnosed high risk factors for progression to severe COVID-19 (including death) with one or more of the following:

* Age ≥ 60 years
* Cardiovascular disease (including congenital heart disease) or high blood pressure
* Chronic lung disease (eg chronic obstructive pulmonary disease \[COPD\], asthma \[moderate to severe\], interstitial lung disease, cystic fibrosis and pulmonary hypertension)
* diabetes
* Has an immunosuppressive disorder or is receiving immunosuppressive therapy (eg, long-term use of corticosteroids or other immunosuppressive drugs leading to decreased immune function)
* Obese or overweight (BMI\>25 kg/m2)
* Sickle cell disease
* Active cancer
* Chronic kidney disease
* Current smokers
* Neurodevelopmental disorders (eg, cerebral palsy, Down syndrome) or other conditions that cause medical complexity (eg, genetic or metabolic syndrome and severe congenital anomalies)
* Need for relevant medical support (not related to COVID-19) (eg tracheostomy, gastrostomy or positive pressure ventilation, etc.)

Exclusion Criteria

1. Diagnosed with severe/critical COVID-19 before or on the day of admission;
2. There is a data record of having received the following treatments before progression to severe/critical COVID-19:

* Nematicavir/ritonavir combination package (ie Paxlovid)
* SARS-CoV-2 monoclonal antibody (Ambavirumab/Romisevirumab)
* Convalescent COVID-19 plasma
* Other anti-SARS-CoV-2 drugs under investigation
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Shanghai Vinnerna Biosciences Co., Ltd.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Juan Ma, Associate Medical Director

Role: STUDY_DIRECTOR

Shanghai Junshi Bioscience Co., Ltd.

Locations

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Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine

Shanghai, Shanghai Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Jie Wang, Project Manager

Role: CONTACT

8618036618073

Yali Pan, Project Directer

Role: CONTACT

8618621590299

Facility Contacts

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Guang Ning, doctor

Role: primary

Other Identifiers

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JT001-013-COVID-19

Identifier Type: -

Identifier Source: org_study_id

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