Prediction for glycemic variability in patients treated with IDegLira

Not Applicable

• Conditions: Type 2 diabetes

• Registration Number: JPRN-UMIN000039436
• Lead Sponsor: Inuyama Chuo General Hospital

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2020-02-08
• Study Completion: 2022-12-31
• Last Update Posted: 17 October 2023

Recruitment & Eligibility

• Status: Complete: follow-up complete
• Sex: All
• Target Recruitment: 80

Inclusion Criteria

Not provided

Exclusion Criteria

judged to be unsuitable for participation for medical reasons

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
A time and a cutoff value which can the most exactly predict TIR (70 to 180 mg/dL) more than 70 percent in all 50 patients

Secondary Outcome Measures

Name	Time	Method
Times which the most correlate to CV or TBR(less than 70 mg/dL) in all 50 patients Times and cutoff values which can the most exactly predict CV less than 36 percent or TBR(less than 70 mg/d)less than 4 percent in all 50 patients Times during daytime where differences between two glucose levels the most correlate to CV or TBR(less than 70 mg/dL)in all 50 patients Times during daytime where differences between two glucose levels can the most exactly predict CV less than 36 percent or TBR(less than 70 mg/dL) less than 4 percent in all 50 patients and those cutoff values