Tirzepatide
DrugAdministered SC
Other names: LY3298176
NCT Number: NCT05564039
The main purpose of this study is to investigate the efficacy and safety of switching from weekly dulaglutide to weekly tirzepatide compared to increasing the dulaglutide dose in adults with type 2 diabetes.
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Notify Me18 year and older
All sexes
Interventional
Phase 4
Imelda General Hospital, Bonheiden, Antwerpen, Belgium
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Administered SC
Other names: LY3298176
Administered SC
Other names: LY2189265
Time frame: Baseline, Week 40
HbA1c is the glycated fraction of hemoglobin A. HbA1c is measured primarily to identify average plasma glucose concentration over prolonged periods of time. Least squares (LS) mean was calculated using mixed model repeated measures (MMRM) for post-baseline measures: Variable = Baseline + Number of Background OAMs Group 1 + Dulaglutide Dose at Screening + Geographic Region 1 + Treatment + Time + Treatment*Time (Type III sum of squares). Variance-Covariance structure (Actual Value) = Unstructured. Variance-Covariance structure (Change from Baseline) = Unstructured.
Time frame: Baseline, Week 40
LSMean was calculated using MMRM for post-baseline measures: Variable = Baseline + Number of Background OAMs Group 1 + Dulaglutide Dose at Screening + Geographic Region 1 + Baseline HbA1c Group + Treatment + Time + Treatment*Time (Type III sum of squares). Variance-Covariance structure (Actual Value) = Unstructured. Variance-Covariance structure (Change from Baseline) = Unstructured.
Time frame: Week 40
The percentage of participants was calculated by dividing the number of participants reaching target HbA1c by the total number of participants analyzed, multiplied by 100. Analyses included all participants having non-missing baseline and at least one non-missing post-baseline value of the response variable. Missing endpoint measures are imputed by predictions from an MMRM analysis model using observed data in the efficacy analysis set and adjusted for Baseline HbA1c Value, Baseline SGLT2i use(Yes/No), Treatment, Visit, and Treatment by Visit interaction.
Time frame: Week 40
The percentage of participants was calculated by dividing the number of participants reaching target HbA1c by the total number of participants analyzed, multiplied by 100. Analyses included all participants having non-missing baseline and at least one non-missing post-baseline value of the response variable. Logistic regression model was used with missing endpoint measures imputed by predictions from an MMRM analysis model using observed data in the efficacy analysis set and adjusted for baseline HbA1c, geographic region 1, number of background OAMs in group 1, dulaglutide dose at screening, and treatment as factors.
Time frame: Week 40
The percentage of participants was calculated by dividing the number of participants reaching target HbA1c by the total number of participants analyzed, multiplied by 100. Analyses included all participants having non-missing baseline and at least one non-missing post-baseline value of the response variable. Logistic regression model was used with missing endpoint measures imputed by predictions from an MMRM analysis model using observed data in the efficacy analysis set and adjusted for baseline HbA1c, geographic region 1, number of background OAMs in group 1, dulaglutide dose at screening, and treatment as factors.
Time frame: Week 40
Missing endpoint measures are imputed by predictions using observed data in the efficacy analysis set from the same treatment group through an MMRM analysis model for post-baseline measures: Variable = Baseline + Geographic Region 1 + Number of Background OAMs Group 1 + Dulaglutide Dose at Screening + Baseline HBA1C Group + Treatment + Time + Treatment*Time.
Time frame: Week 40
Missing endpoint measures are imputed by predictions using observed data in the efficacy analysis set from the same treatment group through an MMRM analysis model for post-baseline measures: Variable = Baseline + Geographic Region 1 + Number of Background OAMs Group 1 + Dulaglutide Dose at Screening + Baseline HBA1C Group + Treatment + Time + Treatment*Time.
Time frame: Week 40
Missing endpoint measures are imputed by predictions using observed data in the efficacy analysis set from the same treatment group through an MMRM analysis model for post-baseline measures: Variable = Baseline + Geographic Region 1 + Number of Background OAMs Group 1 + Dulaglutide Dose at Screening + Baseline HBA1C Group + Treatment + Time + Treatment*Time.
Time frame: Week 40
A composite endpoint is defined as HbA1c ≤ 6.5%, weight loss ≥ 10%, and no hypoglycemia, defined as blood glucose (BG) <3.0 millimole/liter (mmol/L) and/or severe hypoglycemia. Missing endpoint measures are imputed by predictions using observed data in the efficacy analysis set from the same treatment group through an MMRM analysis model for post-baseline measures:
For HbA1c: Variable = Baseline + Geographic Region 1 + Number of Background OAMs Group 1 + Dulaglutide Dose at Screening + Treatment + Time + Treatment*Time.
For Weight: Variable = Baseline + Geographic Region 1 + Number of Background OAMs Group 1 + Dulaglutide Dose at Screening + Baseline HbA1c Group + Treatment + Time + Treatment*Time.
Time frame: Baseline, Week 40
LSMean was calculated using the ANCOVA model for endpoint measures: Variable = Baseline + A1CGR1 + DULDSCRN + OAMGR1 + REGION1 + Treatment (Type I sum of squares).
Time frame: Baseline, Week 40
LSMean was calculated using MMRM for post-baseline measures: Variable = Baseline + Number of Background OAMs Group 1 + Dulaglutide Dose at Screening + Geographic Region 1 + Baseline HbA1c Group + Treatment + Time + Treatment*Time (Type III sum of squares). Variance-Covariance structure (Actual Value) = Unstructured. Variance-Covariance structure (Change from Baseline) = Unstructured.
Time frame: Baseline, Week 40
Change from Baseline in BMI is presented. LSMean was calculated using MMRM for post-baseline measures: Variable = Baseline + Number of Background OAMs Group 1 + Dulaglutide Dose at Screening + Geographic Region 1 + Baseline HbA1c Group + Treatment + Time + Treatment*Time (Type III sum of squares). Variance-Covariance structure (Actual Value) = Unstructured. Variance-Covariance structure (Change from Baseline) = Unstructured.
Time frame: Baseline, Week 40
The IWQOL-Lite-CT is a 20-item, obesity-specific PRO (patient-reported outcome) instrument developed for use in obesity clinical trials. It assesses 2 primary domains of obesity-related health-related quality of life (HRQoL): physical (7 items, where 5 of the items comprise the physical functioning sub-domain) and psychosocial (13 items). The IWQOL-Lite-CT provides composite scores for each domain, as well as a total score, all ranging from 0 to 100. Higher scores reflect better levels of functioning. This endpoint shows results for 'physical function domain.'
Eli Lilly and Company
Industry
A Phase 4, Randomized, Open-Label, Active-Controlled Study to Investigate the Efficacy and Safety of Switching From Weekly Dulaglutide to Weekly Tirzepatide in Adults With Type 2 Diabetes
Acronym: SURPASS-SWITCH
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
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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