This study will adopt a retrospective clinical cohort design and include a certain scale of sepsis patients as research objects to find the risk factors for adverse outcomes in patients with sepsis. Bioinformatics techniques were used to infer potential differential genes corresponding to different risk factors. Finally, through the biobank the investigators established in the past, biological samples of patients with sepsis were extracted and protein expression in the samples was detected to comprehensively analyze biological information at multiple levels.
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Survival
Timeframe: 28 days
Cardiac function
Timeframe: 24 hours