Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)

NCT05710913 | Unknown

• 1 other identifier: CABS
• Study Type: observational
• Target: 10,000
• Locations: 1 country
• Sites: 1

Brief Summary

This Study aims to develop machine learning models with the ability to predict patients' BMI and complications after Bariatric Surgery (CABS-Score). This Study also aims to develop machine learning models with the ability to predict diabetic (DM II)patients' remission rate after Bariatric Surgery. The service mentioned above will be publicly available as a web-based application

Conditions

Body Weight; Post-Op Complication; Anastomosis, Leaking; Hiatal Hernia; GERD; Internal Hernia; Mesenteric Hernia; Intussusception; Diabetes Mellitus, Type 2; Sleep Apnea, Obstructive

Keywords

Bariatric Surgery; Machine learning; Clinical prediction modelling; Artificial intelligence

Outcome Measures

Primary Outcomes (3)

• Complication after surgery

  [Time Frame: From index surgery up to 3 months postoperatively]

• Body mass Index (KG/m2) after surgery

  [Time Frame: From index surgery up to 1 year postoperatively]

• Diabetes mellitus type II remission rate postoperatively

  [Time Frame: From index surgery up to 2 year postoperatively]

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients undergoing bariatric surgery

You may qualify if:

• Patients undergoing bariatric surgery
• Patients \>18 years

You may not qualify if:

• Patients \<18 years
• Patients who cannot be followed up on for more than 6 month after surgery
• Patients who are unable to provide informed approval to participate according to each centre's rules will be excluded.

Sponsors & Collaborators

• Dr. Med Anas Taha: lead
• University of Basel: collaborator
• GZO Hospital, Zürich, Switzerland: collaborator

Study Sites (1)

University of Basel - Department of Biomedical Engineering

Basel, Switzerland

RECRUITING

MeSH Terms

Conditions

Body Weight; Postoperative Complications; Hernia, Hiatal; Gastroesophageal Reflux; Internal Hernia; Intussusception; Diabetes Mellitus, Type 2; Sleep Apnea, Obstructive

Condition Hierarchy (Ancestors)

Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Pathologic Processes; Hernia, Diaphragmatic; Hernia; Pathological Conditions, Anatomical; Esophageal Motility Disorders; Deglutition Disorders; Esophageal Diseases; Gastrointestinal Diseases; Digestive System Diseases; Intestinal Obstruction; Intestinal Diseases; Diabetes Mellitus; Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases; Endocrine System Diseases; Sleep Apnea Syndromes; Apnea; Respiration Disorders; Respiratory Tract Diseases; Sleep Disorders, Intrinsic; Dyssomnias; Sleep Wake Disorders; Nervous System Diseases

Central Study Contacts

Anas Taha, MD

CONTACT

0041612075402; anas.taha@unibas.ch

Bassey Enodien, MD

CONTACT

Bassey.enodien@gzo.ch

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: Research Fellow

Study Record Dates

• First Submitted: January 15, 2023
• First Posted: February 2, 2023
• Study Start: January 5, 2023
• Primary Completion: December 31, 2025
• Study Completion: December 31, 2025
• Last Updated: February 2, 2023

Record last verified: 2023-01

Locations

CH (1)