Insulin Analog Mid Mixture
DrugAdministered SC
NCT Number: NCT03018938
The purpose of this study is to compare the effectiveness of basal insulin analog and insulin analog mid mixture in Chinese participants with type 2 diabetes mellitus.
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Notify Me18 year–80 year
All sexes
Interventional
Phase 4
Beijing Huaxin Hospital, Beijing, Beijing Municipality, China
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Administered SC
Administered SC
Time frame: Baseline, 24 Weeks
HbA1c is the glycosylated fraction of hemoglobin A. HbA1c is measured to identify average plasma glucose concentration over prolonged periods of time.
Least Squares (LS) mean was determined by analysis of covariance (ANCOVA) model with last observation carried forward (LOCF) and with terms for change from baseline in HbA1c as response, treatment as fixed effect and baseline HbA1c as covariate.
Time frame: Baseline, 48 Weeks
HbA1c is the glycosylated fraction of hemoglobin A. HbA1c is measured to identify average plasma glucose concentration over prolonged periods of time.
Least Squares (LS) mean was determined by ANCOVA model with LOCF and with terms for change from baseline in HbA1c as response, treatment as fixed effect and baseline HbA1c as covariate.
Time frame: 24 Weeks
Hemoglobin A1c (HbA1c) is the glycosylated fraction of hemoglobin A. HbA1c is measured to identify average plasma glucose concentration over prolonged periods of time.
Time frame: 48 Weeks
Hemoglobin A1c (HbA1c) is the glycosylated fraction of hemoglobin A. HbA1c is measured to identify average plasma glucose concentration over prolonged periods of time.
Time frame: Baseline, 24 Weeks
Fasting Plasma glucose (FPG) is a test to determine how much glucose (sugar) is in a plasma sample after an overnight fast. Least Squares (LS) means was determined by ANCOVA model with LOCF and with terms for change from baseline in Venous FPG as response, treatment as fixed effect and baseline Venous FPG as covariate.
Time frame: Baseline, 48 Weeks
Fasting Plasma glucose (FPG) is a test to determine how much glucose (sugar) is in a plasma sample after an overnight fast. Least Squares (LS) means was determined by ANCOVA model with LOCF and with terms for change from baseline in Venous FPG as response, treatment as fixed effect and baseline Venous FPG as covariate.
Time frame: Baseline, 24 Weeks
Fasting blood glucose (FBG) and post prandial glucose (PPG) [pre-breakfast (fasting) and post-breakfast (approximately 2 hours after breakfast)] was measured using FSBG. LS Mean was measured with ANCOVA model with LOCF and with terms for change from baseline in FSBG-based FBG/PPG as response, treatment as fixed effect and baseline FSBG-based FBG/PPG as covariate.
Time frame: Baseline, 48 Weeks
Fasting blood glucose (FBG) and post prandial glucose (PPG) [pre-breakfast (fasting) and post-breakfast (approximately 2 hours after breakfast)] was measured using FSBG. LS Mean was measured with ANCOVA model with LOCF and with terms for change from baseline in FSBG-based FBG/PPG as response, treatment as fixed effect and baseline FSBG-based FBG/PPG as covariate.
Time frame: 24 Weeks, 48 Weeks
Total daily insulin dose in the basal insulin analog and in Insulin Analog Mid Mixture group at week 24 and 48.
Time frame: Baseline, 24 Weeks
LS means were calculated using ANCOVA model with LOCF and with terms for change from baseline in bodyweight as response, treatment as fixed effect and baseline bodyweight as covariate.
Time frame: Baseline, 48 Weeks
LS means were calculated using ANCOVA model with LOCF and with terms for change from baseline in bodyweight as response, treatment as fixed effect and baseline bodyweight as covariate.
Time frame: 24 Weeks, 48 Weeks
Hypoglycemic episodes are defined as events that are associated with reported signs and symptoms of hypoglycemia and/or documented blood glucose (BG) concentrations of ≤70 mg/dL (3.9 mmol/L). The overall yearly rates (events/participant/year) of those hypoglycemic events, calculated as, for each participant, the number of episodes times 365.25 and then divided by the participants treatment duration, will be summarized, and analyzed by a Negative-binomial regression model with treatment as fixed effects and log of (patient's treatment duration/365.25) as an offset variable.
Time frame: Baseline through 48 Weeks
Insulin treatment change can be insulin treatment discontinuation, switch, intensification or reduction in frequency.
Time frame: 24 Weeks
Hemoglobin A1c (HbA1c) is the glycosylated fraction of hemoglobin A. HbA1c is measured to identify average plasma glucose concentration over prolonged periods of time. Percentages of participants who achieved HbA1c levels of <7% were analyzed using a logistic regression model with logic link function, treatment as fixed effect and baseline HbA1c as continuous covariate.
Time frame: 48 Weeks
Hemoglobin A1c (HbA1c) is the glycosylated fraction of hemoglobin A. HbA1c is measured to identify average plasma glucose concentration over prolonged periods of time. Percentages of participants who achieved HbA1c levels of <7% were analyzed using a logistic regression model with logic link function, treatment as fixed effect and baseline HbA1c as continuous covariate.
Time frame: Baseline, 48 Weeks
The SEITQ is designed to measure an individual's self-efficacy related to insulin therapy. The SEITQ consists of 5 items (that is, statements). The first 4 statements imply confidence in completing the tasks needed to take insulin correctly and avoid both hyperglycemia and hypoglycemia, whereas the last statement is an outcome expectation and implies that performance of these tasks will lead to avoidance of complications. Each item score ranges from 1 (strongly disagree) to 7 (strongly agree). The total SEITQ score is the sum of each item scores, with the range of 5 to 35. Higher SEITQ score indicates better outcome (higher self-efficacy). LS Mean was calculated using Mixed Models Analysis (MMRM) for repeated measures with all post-baseline SEITQ as responses, baseline SEITQ as a continuous covariate, treatment group, Visits, and treatment by visit interaction as fixed effects and participant as a random effect.
Eli Lilly and Company
Industry
Comparison Between Basal Insulin Analog and Insulin Analog Mid Mixture AS Starter Insulin for Chinese Patients With Type 2 Diabetes Mellitus (CLASSIC Study)
Acronym: CLASSIC
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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