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Establishment of a Classification System and Postoperative Risk Warning Model for Patients Undergoing Bariatric Metabolic Surgery for Severe Obesity
Sponsor: The Third Xiangya Hospital of Central South University
Summary
This study aims to establish a classification system for patients undergoing metabolic surgery for severe obesity by constructing a prospective cohort of 2,000 patients and collecting clinical and biological data at multiple time points before and after surgery. By analyzing clinical, laboratory, and multi-omics characteristics, the study will identify indicators associated with postoperative adverse events and develop a risk warning model using machine learning algorithms. Ultimately, an intelligent digital system will be developed based on the classification criteria and risk model, integrating surgical classification and risk alert functions to provide real-time feedback, supporting clinicians and patients in optimizing postoperative treatment and risk management.
Key Details
Gender
All
Age Range
18 Years - 50 Years
Study Type
OBSERVATIONAL
Enrollment
2000
Start Date
2025-04-01
Completion Date
2035-12-31
Last Updated
2025-07-30
Healthy Volunteers
No
Locations (1)
Third Xiangya Hospital of Central South University
Changsha, Hunan, China