NCT04101097

Training and Validation of Models of Factors to Predict Inadequate Bowel Preparation Colonoscopy

Training and Validation of Models Based on Patient-related or Procedure-related Factors to Predict Inadequate Bowel Preparation in Patients Undergoing Colonoscopy

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 900 (actual)
• Sponsor: Air Force Military Medical University, China · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

The rate of adequate bowel preparation is one of important quality indicators of colonoscopy. Inadeqaute bowel preparation negatively affects the outcomes of colonoscopy. If patients with inadequate bowel preparation were identified before the procedure, enhanced strategy could be offerred to achieve better bowel cleasing. Currently, there were three predicting models of inadequate bowel preparation eatablished based on patient-related factors. It remains unclear which model perfroms better in predicting bowel preparation quality. Futhermore, althought those predicting models only composing of patients-related factors are useful for identifing high-risk patients, the preparation-related factors may also be valuable for prediciting inadeqaute bowel preparation before the procedure of colonoscopy. This study aimed: 1) to compare the values of three availlable models (based on patient-related factors) in predicting inadeqaute bowel preparation in a prospective, multicentered cohort of patients undergoing colonoscopy; 2) to investigate whether a new model based on preparation-related or a combined model based on patient-related and preparation-related factors is comparable to previous models based on patient-related factors.

Conditions

• Colonoscopy
• Bowel Preparation
• Predictive Model

Interventions

Type	Name	Description
OTHER	—

Timeline

• Start date: 2019-09-03
• Primary completion: 2020-03-30
• Completion: 2020-03-30
• First posted: 2019-09-24
• Last updated: 2020-06-16

Locations

5 sites across 1 country: China