This study intends to strengthen the discussion on the risk factors of RFS in critically ill patients, and construct an RFS risk prediction model which is easy for clinical medical staff to use and has a high sensitivity and specificity; In order to help medical staff to identify the high-risk groups of RFS in critically ill patients efficiently and accurately, and take targeted care and treatment for patients, so as to reduce the adverse consequences of RFS on critically ill patients.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Occurrence of RFS
Timeframe: from December 1, 2019 to October 31, 2020