The incidence rate and mortality of lung infection are high worldwide. It is a common and frequently occurring disease which seriously threatens human health. Severe pneumonia accounts for 18-36% of all pneumonia. Severe pneumonia has caused serious economic and medical burden. Therefore, it is urgent to carry out the real-world cohort study of severe pneumonia. Big data and sample library will provide useful clinical guidance and scientific research reserves for clinicians. Through further research, we can improve the treatment success rate and reduce the mortality. The purpose of this study is to provide reliable biological samples and related data information for the relevant basic and clinical trials in the field of severe pneumonia by carrying out the construction of special disease cohort database and biological sample holographic database, and to establish a long-term sharing platform for the transformation of research results into clinical practice, improve the prognosis of severe pneumonia,and provide the evidence for improving the diagnosis and treatment of severe pneumonia suitable for China's national conditions.
Study Type
OBSERVATIONAL
Enrollment
1,000
Ruijin Hospital, Medical School of Shanghai Jiaotong University
Shanghai, Shanghai Municipality, China
RECRUITINGclinical outcome of patients with severe pneumonia
The pneumonia is cured or improved, or the treatment of pneumonia is invalid, or the patient is dead.
Time frame: day 3, day 7, day 14, day 30, day 180.
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