To develop effective preoperative and postoperative prediction models for postoperative complications of ERCP
To develop effective preoperative and postoperative prediction models for postoperative complications of ERCP based on machine learning
Study Type
OBSERVATIONAL
Enrollment
2,000
collection of laboratory test results, imaging results and symptoms
The First Affiliated Hospital of University of South China
Hengyang, Hunan, China
RECRUITINGNumber of Participants with Pancreatitis
Typical abdominal pain, with the level of serum amylase increasing at least 3 times of the normal range within 24 hours after ERCP.
Time frame: 1 month
Number of Acute PEC(post-ERCP-cholecystitis )
Number of Acute PEC(post-ERCP-cholecystitis )
Time frame: 1 month
Number of Participants with Cholangitis
Temperature should be more than 38 celsius degree, chills, with right upper abdominal pain, blood routine showing the total amount of the White Blood Cell (WBC), and the amount of polymorphonuclear neutrophil(PMN) are above normal
Time frame: 1 month
Number of Participants with Perforation
Typical abdominal pain,abdominal muscle tension, and there are also radiographic evidence suggesting
Time frame: 1 month
Number of Participants with bile duct stents
If it is necessary to get the patients drainage, Number of Participants with stents or endoscopic nasobiliary drainage (ENBD) should be recorded
Time frame: 1 month
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.