Risk Factors Identification of Sepsis and Septic Shock After Major Abdominal Surgery Based on Artificial Intelligence
- Conditions
- SepsisPostoperative Complications
- Registration Number
- NCT06684340
- Brief Summary
The goal of this observational study is to identify the risk factors and build the early warning system of sepsis and septic shock after major abdominal surgery based on artificial intelligence. The main questions it aims to answer are:
What are the high risk factors of postoperative sepsis? Which factors can accelerate the progression of sepsis? Researchers will collect perioperative characteristics to construct predictive models of postoperative sepsis in a retrospective abdominal surgical population based on artificial intelligence, and the accuracy of the models were tested in an external dataset.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 22646
Not provided
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Sepsis within 28 days after surgery. In the 28-day period following surgery For patients within 28 days after surgery, if there is a recorded or suspected infection and the Sequential Organ Failure Assessment (SOFA) score is ≥ 2 points, sepsis can be diagnosed. For sepsis patients, if they still have persistent hypotension after adequate volume resuscitation and require vasopressor drugs to maintain a Mean Atrial Pressure (MAP) ≥ 65 mmHg and a serum lactate level \> 2 mmol/L, it is considered that the sepsis patient has progressed to septic shock.
- Secondary Outcome Measures
Name Time Method