This study adopted a prospective, single-center, open-label design, aiming to evaluate the efficacy of the RTI clinical outcome prediction model in predicting clinical outcomes in subjects with acute respiratory tract infections. In this study, the subjects were divided into the community-acquired pneumonia group and the sepsis group, including one baseline visit, one visit on the 7th day, and one visit on the 28th day. During the research process, blood samples will be collected at the corresponding visiting points for the validation of the predictive model.
Study Type
OBSERVATIONAL
Enrollment
150
This model was developed through transcriptome sequencing combined with machine learning to predict the risk of disease progression and clinical outcomes of respiratory tract infections
Any of the following occurs: 1) Death; 2) Progress to sepsis (SOFA≥2 points); 3) Follow up for 28 days.
Time frame: From enrollment to the end of follow-up at 28 days
The changes of the seven-scale compared to the time of enrollment
Time frame: From enrollment to the end of follow-up at 28 days
The changes in SOFA score compared to the time of enrollment.
Time frame: From enrollment to the end of follow-up at 28 days
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