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The Efficacy of Different Hormone Doses in 2019-nCoV Severe Pneumonia

T

Tongji Hospital

Status and phase

Unknown
Phase 4

Conditions

2019-nCoV Severe Pneumonia

Treatments

Drug: Methylprednisolone

Study type

Interventional

Funder types

Other

Identifiers

NCT04263402
TJ20200201

Details and patient eligibility

About

At present, there is no specific and effective antiviral therapy.In this study, an open, prospective/retrospective, randomized controlled cohort study was designed to compare the efficacy of different hormone doses in the treatment of 2019-nCoV severe Pneumonia.This study explores effective treatment programs for 2019-nCoV severe pneumonia and provides a reliable evidence-based basis for the treatment.

Enrollment

100 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

1.Meet the definition of severe pneumonia(Comply with any of the followings):

  1. Shortness of breath,RR≥30 bpm;
  2. In a resting state:SPO2≤93%;
  3. PaO2/FiO2≤300mmHg.

2.2019-nCoV nucleic acid test was positive.

3.CT of the lung conformed to the manifestation of viral pneumonia.

Exclusion criteria

  1. dying state (i.e. survival time is less than 24 hours);
  2. progressive malignant tumor with life expectancy less than 6 months;
  3. immunosuppressive status(patients using immunosuppressants or chemotherapeutic drugs)
  4. underlying diseases requiring long-term glucocorticoid treatment in the past 6 months or short-term glucocorticoid therapy in the past 4 weeks;
  5. pregnancy
  6. patients with glucocorticoid taboos

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

100 participants in 2 patient groups

Methylprednisolone(<40mg/d)
Experimental group
Treatment:
Drug: Methylprednisolone
Drug: Methylprednisolone
Methylprednisolone(40~80mg/d)
Experimental group
Treatment:
Drug: Methylprednisolone
Drug: Methylprednisolone

Trial contacts and locations

1

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Central trial contact

Meifang Han, Professor; Qing Ning, Professor

Data sourced from clinicaltrials.gov

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