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Risk Factors Identification of Sepsis and Septic Shock After Major Abdominal Surgery Based on Artificial Intelligence

Completed
Conditions
Sepsis
Postoperative Complications
Registration Number
NCT06684340
Lead Sponsor
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
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
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
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
NameTimeMethod

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