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A Study of Tirzepatide (LY3298176) in Participants With Obesity or Overweight for the Maintenance of Weight Loss

Phase 3
Completed
Conditions
Overweight
Obesity
Interventions
Other: Placebo
Drug: Tirzepatide
Registration Number
NCT04660643
Lead Sponsor
Eli Lilly and Company
Brief Summary

This was a study of tirzepatide in participants with obesity or overweight. The main purpose was to learn more about how tirzepatide maintained body weight loss. The study had two phases: a lead-in phase in which all participants took tirzepatide and a treatment phase in which participants either continued tirzepatide or switched to placebo. The study lasted about 2 years (25 visits).

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
783
Inclusion Criteria
  • Body Mass Index (BMI) ≥30 kilograms per square meter (kg/m²), or ≥27 kg/m² and previous diagnosis with at least one of the following comorbidities: hypertension, dyslipidemia, obstructive sleep apnea, cardiovascular disease
  • History of at least one unsuccessful dietary effort to lose body weight
Read More
Exclusion Criteria
  • Diabetes mellitus
  • Change in body weight greater than 5 kg within 3 months prior to starting study
  • Obesity induced by other endocrinologic disorders or monogenetic or syndromic forms of obesity
  • History of pancreatitis
  • Family or personal history of medullary thyroid carcinoma (MTC) or multiple endocrine neoplasia syndrome type 2 (MEN-2)
  • History of significant active or unstable major depressive disorder (MDD) or other severe psychiatric disorder within the last 2 years
  • Any lifetime history of a suicide attempt
Read More

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
PlaceboPlaceboParticipants received weekly doses of placebo SC for 52 weeks.
Tirzepatide (lead-in)TirzepatideParticipants received weekly doses of tirzepatide subcutaneously (SC) for 36 weeks, starting at 2.5 milligrams (mg) and increasing by 2.5 mg every 4 weeks, as tolerated, up to the maximum tolerated dose (MTD) of either 10 mg or 15 mg.
Tirzepatide MTDTirzepatideParticipants continued tirzepatide MTD (either 10 mg or 15 mg) for an additional 52 weeks.
Primary Outcome Measures
NameTimeMethod
Percent Change From Randomization in Body Weight at Week 88Randomization (Week 36), Week 88

Least square (LS) mean was analysed by mixed model repeated measures (MMRM) model with randomization + analysis country + sex + interactive web response system (IWRS) MTD at Week 36 + treatment + time + treatment\*time (Type III sum of squares) as variables.

Secondary Outcome Measures
NameTimeMethod
Change From Randomization in Hemoglobin A1c (HbA1c)Randomization (Week 36), Week 88

LS mean was analysed by MMRM model with randomization + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Percent Change From Randomization in Lipid Parameters (Total Cholesterol, Low Density Lipoprotein (LDL) Cholesterol, High Density Lipoprotein (HDL) Cholesterol, Very Low Density Lipoprotein (VLDL) Cholesterol, Triglycerides, Free Fatty Acids (FFA))Randomization (Week 36), Week 88

LS mean was analysed by MMRM model with log(actual measurement/randomization) = log (randomization) + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Percent Change From Baseline in Body WeightBaseline (Week 0), Week 88

LS mean was analysed by MMRM model with baseline + analysis country + sex + IWRS MTD at Week 36 + body weight at randomization (kg) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Percent Change From Baseline in Lipid Parameters (Total Cholesterol, LDL Cholesterol, HDL Cholesterol, VLDL Cholesterol, Triglycerides, FFAs)Baseline (Week 0), Week 88

LS mean was analysed by MMRM model with log(actual measurement/baseline) = log (baseline) + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Percentage of Participants Who Achieve ≥5%, ≥10%, ≥15%, ≥20% Body Weight Reduction From BaselineBaseline (Week 0) to Week 88

Percentage of Participants Who Achieve ≥5%, ≥10%, ≥15%, ≥20% Body Weight Reduction from baseline was analysed by Logistic regression model with missing value imputed by MMRM at week 88. Missing values were 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 with Baseline + Analysis Country + Sex + IWRS MTD at Week 36 + randomization + Treatment + Time + Treatment\*Time as variables.

Change From Baseline in Body WeightBaseline (Week 0), Week 88

LS mean was analysed by MMRM model with baseline + analysis country + sex + IWRS MTD at Week 36 + body weight at randomization (kg) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Baseline in Waist CircumferenceBaseline (Week 0), Week 88

LS mean was analysed by MMRM model with baseline + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Baseline in Fasting GlucoseBaseline (Week 0), Week 88

LS mean was analysed by MMRM model with baseline + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Baseline in HbA1cBaseline (Week 0), Week 88

LS mean was analysed by MMRM model with baseline + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Percent Change From Baseline in Fasting InsulinBaseline (Week 0), Week 88

LS mean was analysed by MMRM model with log(actual measurement/baseline) = log (baseline) + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Percent Change From Randomization in Body Weight at Week 64Randomization (Week 36), Week 64

LS mean was analysed by MMRM model with randomization + analysis country + sex + IWRS MTD at Week 36 + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Randomization in Body Mass Index (BMI)Randomization (Week 36), Week 88

LS mean was analysed by MMRM model with randomization + analysis country + sex + IWRS MTD at Week 36 + treatment + time + treatment\*time (Type III sum of squares) as variables.

Time to First Occurrence of Participants Returning to >95% Baseline Weight for Those Who Lost ≥5% During the Open-Label Lead-In PeriodRandomization (Week 36) to Week 88

Time to first occurrence of participants returning to \>95% baseline weight for those who lost ≥5% during the open-label lead-in period.

Change From Randomization in Body WeightRandomization (Week 36), Week 88

LS mean was analysed by MMRM model with randomization + analysis country + sex + IWRS MTD at Week 36 + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Randomization in Waist CircumferenceRandomization (Week 36), Week 88

LS mean was analysed by MMRM model with randomization + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Randomization in Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP)Randomization (Week 36), Week 88

LS mean change was analysed by MMRM model with randomization + analysis country + sex + IWRS MTD at Week 36 + Weight Loss at Week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Randomization in Impact of Weight on Quality of Life Lite Clinical Trials Version (IWQOL-Lite-CT) - Physical Function Composite ScoreRandomization (Week 36), Week 88

The IWQOL Lite-CT consists of 20 items, assessing 2 primary domains of obesity related HRQoL: Physical (7 items) and Psychosocial (13 items). A 5-item subset of the Physical domain - the Physical Function composite - is also supported. Items in the Physical Function composite describe physical impacts related to general and specific physical activities. All items in the physical domain are rated on either a 5-point frequency ("never" to "always") scale or a 5-point truth ("not at all true" to "completely true") scale. Total score of IWQOL-Lite-CT composite ranges from 0 to 100, with higher scores reflecting better health-related quality of life.

LS mean was analysed by ANCOVA model with randomization + analysis Country + sex + weight loss at Week 36 (\< 10%, \>= 10%) + IWRS MTD at Week 36 + treatment (type III sum of squares) as variables.

Percentage of Participants Who Maintain at Least 80% of the Body Weight Lost During the Open-Label Lead-In PeriodWeek 88

Percentage of Participants Who Maintain at least 80% of the Body Weight Lost During the Open-Label Lead-In Period was analysed by Logistic regression model with missing value imputed by MMRM at week 88. Missing values were 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 with Baseline + Analysis Country + Sex + IWRS MTD at Week 36 + randomization + Treatment + Time + Treatment\*Time as variables.

Change From Randomization in Fasting GlucoseRandomization (Week 36), Week 88

LS mean was analysed by MMRM model with randomization + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Percent Change From Randomization in Fasting InsulinRandomization (Week 36), Week 88

LS mean was analysed by MMRM model with log(actual measurement/randomization) = log (randomization) + analysis country + sex + IWRS MTD at Week 36 + weight loss at week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Randomization in Short Form 36 Version 2 Health Survey (SF 36v2) Acute Form - Physical Functioning Domain ScoreRandomization (Week 36), Week 88

The SF-36v2 acute form assesses health-related quality of life (HRQoL) on 8 domains: Physical Functioning, Role-Physical, Bodily Pain, General Health, Vitality, Social Functioning, Role-Emotional, and Mental Health. The Physical-Functioning domain assesses limitations due to health "now" and consists of 10-items, each rated on a 3-point Likert scale. Scoring of the domain is norm-based and presented in the form of T-scores, with a mean of 50 and standard deviation of 10; higher scores indicate better levels of function. Range cannot be specified in norm-based scores.

LS mean was analysed by analysis of covariance (ANCOVA) model with randomization + analysis Country + sex + weight loss at Week 36 (\< 10%, \>= 10%) + IWRS MTD at Week 36 + treatment (type III sum of squares) as variables.

Change From Baseline in BMIBaseline (Week 0), Week 88

LS mean was analysed by MMRM model with baseline + analysis country + sex + IWRS MTD at Week 36 + BMI at randomization (kg/m\^2) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Baseline in SBP, DBPBaseline (Week 0), Week 88

LS mean was analysed by MMRM model with baseline + analysis country + sex + IWRS MTD at Week 36 + Weight Loss at Week 36 (\< 10%, \>= 10%) + treatment + time + treatment\*time (Type III sum of squares) as variables.

Change From Baseline in IWQOL-Lite-CT - Physical Function Composite ScoreBaseline (Week 0), Week 88

The IWQOL Lite-CT consists of 20 items, assessing 2 primary domains of obesity related HRQoL: Physical (7 items) and Psychosocial (13 items). A 5-item subset of the Physical domain - the Physical Function composite - is also supported. Items in the Physical Function composite describe physical impacts related to general and specific physical activities. All items in the physical domain are rated on either a 5-point frequency ("never" to "always") scale or a 5-point truth ("not at all true" to "completely true") scale. Total score of IWQOL-Lite-CT composite ranges from 0 to 100, with higher scores reflecting better health-related quality of life.

LS mean was analysed by ANCOVA model with baseline + analysis Country + sex + weight loss at Week 36 (\< 10%, \>= 10%) + IWRS MTD at Week 36 + treatment (type III sum of squares) as variables.

Change From Baseline in SF 36v2 Acute Form - Physical Functioning Domain ScoreBaseline (Week 0), Week 88

The SF-36v2 acute form assesses health-related quality of life (HRQoL) on 8 domains: Physical Functioning, Role-Physical, Bodily Pain, General Health, Vitality, Social Functioning, Role-Emotional, and Mental Health. The Physical-Functioning domain assesses limitations due to health "now" and consists of 10-items, each rated on a 3-point Likert scale. Scoring of the domain is norm-based and presented in the form of T-scores, with a mean of 50 and standard deviation of 10; higher scores indicate better levels of function. Range cannot be specified in norm-based scores.

LS mean was analysed by analysis of covariance (ANCOVA) model with randomization + analysis Country + sex + weight loss at Week 36 (\< 10%, \>= 10%) + IWRS MTD at Week 36 + treatment (type III sum of squares) as variables.

Trial Locations

Locations (70)

North Texas Endocrine Center

🇺🇸

Dallas, Texas, United States

Tribe Clinical Research, LLC

🇺🇸

Greenville, South Carolina, United States

Glacier View Research Institute - Endocrinology

🇺🇸

Kalispell, Montana, United States

Capital Area Research, LLC

🇺🇸

Camp Hill, Pennsylvania, United States

Centro Médico Viamonte

🇦🇷

Caba, Buenos Aires, Argentina

Asociación de Beneficencia Hospital Sirio Libanés

🇦🇷

Buenos Aires, Argentina

Dallas Diabetes Research Center

🇺🇸

Dallas, Texas, United States

Capital Clinical Research Center

🇺🇸

Olympia, Washington, United States

CEDOES

🇧🇷

Vitória, Espírito Santo, Brazil

Cline Research Center

🇧🇷

Curitiba, Paraná, Brazil

China Medical University Hospital

🇨🇳

Taichung, Taiwan

ISPEM - Instituto São José dos Campos em Pesquisas Médicas

🇧🇷

São José dos Campos, São Paulo, Brazil

Centro de Endocrinologia Alcantara Gonzalez

🇵🇷

Bayamon, Puerto Rico

Private Practice Dr. Martha Gomez Cuellar

🇵🇷

San Juan, Puerto Rico

Aventiv Research Inc

🇺🇸

Columbus, Ohio, United States

Biopharma Informatic, LLC

🇺🇸

Houston, Texas, United States

University Clinical Investigators, Inc.

🇺🇸

Tustin, California, United States

Care Partners Clinical Research

🇺🇸

Jacksonville, Florida, United States

Endocrine Research Solutions, Inc.

🇺🇸

Roswell, Georgia, United States

Rocky Mountain Clinical Research

🇺🇸

Idaho Falls, Idaho, United States

Clinical Investigation Specialists

🇺🇸

Gurnee, Illinois, United States

MedStar Health Research Institute (MedStar Physician Based Research Network)

🇺🇸

Hyattsville, Maryland, United States

ActivMed Practices and Research

🇺🇸

Methuen, Massachusetts, United States

Arcturus Healthcare , PLC, Troy Internal Medicine Research Division

🇺🇸

Troy, Michigan, United States

Midwest Institute For Clinical Research

🇺🇸

Indianapolis, Indiana, United States

Cotton O'Neil Clinic

🇺🇸

Topeka, Kansas, United States

Núcleo de Pesquisa Clínica do Rio Grande do Sul

🇧🇷

Porto Alegre, Rio Grande Do Sul, Brazil

Optumcare Colorado Springs - Monument

🇺🇸

Monument, Colorado, United States

Lillestol Research

🇺🇸

Fargo, North Dakota, United States

New West Physicians Clinical Research

🇺🇸

Golden, Colorado, United States

Cahaba Research

🇺🇸

Pelham, Alabama, United States

Scripps Memorial Hospital La Jolla

🇺🇸

La Jolla, California, United States

National Research Institute - Wilshire

🇺🇸

Los Angeles, California, United States

National Research Institute

🇺🇸

Panorama City, California, United States

SKY Clinical Research Network Group-Blake

🇺🇸

Union City, Georgia, United States

Healthcare Research Network - Chicago

🇺🇸

Flossmoor, Illinois, United States

American Health Network of Indiana, LLC - New Albany

🇺🇸

New Albany, Indiana, United States

StudyMetrix Research

🇺🇸

Saint Peters, Missouri, United States

PharmQuest

🇺🇸

Greensboro, North Carolina, United States

Intend Research, LLC

🇺🇸

Norman, Oklahoma, United States

The University of Texas Health Science Center at Houston

🇺🇸

Bellaire, Texas, United States

Weill Cornell Medical College

🇺🇸

New York, New York, United States

Northwest Houston Heart Center

🇺🇸

Tomball, Texas, United States

North Hills Family Medicine/North Hills Medical Research

🇺🇸

North Richland Hills, Texas, United States

Health Research of Hampton Roads, Inc.

🇺🇸

Newport News, Virginia, United States

Clinical Trials of Texas, Inc.

🇺🇸

San Antonio, Texas, United States

Artemis Institute for Clinical Research

🇺🇸

San Diego, California, United States

ForCare Clinical Research

🇺🇸

Tampa, Florida, United States

L-MARC Research Center

🇺🇸

Louisville, Kentucky, United States

University of North Carolina Medical Center

🇺🇸

Chapel Hill, North Carolina, United States

Wake Forest University Baptist Medical Center (WFUBMC)

🇺🇸

Winston-Salem, North Carolina, United States

Centro de Pesquisa Sao Lucas

🇧🇷

Campinas, São Paulo, Brazil

Mautalen Salud e Investigación

🇦🇷

Buenos Aires, Ciudad Autónoma De Buenos Aire, Argentina

CPQuali Pesquisa Clínica

🇧🇷

São Paulo, Brazil

Summit Research Network

🇺🇸

Portland, Oregon, United States

Chung Shan Medical University Hospital

🇨🇳

Taichung, Taiwan

National Cheng-Kung Uni. Hosp.

🇨🇳

Tainan, Taiwan

Renstar Medical Research

🇺🇸

Ocala, Florida, United States

South Florida Clinical Research Institute

🇺🇸

Margate, Florida, United States

Centennial Medical Group

🇺🇸

Elkridge, Maryland, United States

BR Trials - Ensaios Clinicos e Consultoria

🇧🇷

Sao Paulo, São Paulo, Brazil

Wellness clinical Research Vega Baja

🇵🇷

Vega Baja, Puerto Rico

Instituto Médico Catamarca IMEC

🇦🇷

Rosario, Santa Fe, Argentina

IBPClin - Instituto Brasil de Pesquisa Clínica

🇧🇷

Rio de Janeiro, Brazil

National Taiwan University Hospital

🇨🇳

Taipei, Taiwan

CEDIC

🇦🇷

Caba, Buenos Aires, Argentina

Stat Research S.A.

🇦🇷

Ciudad Autónoma de Buenos Aire, Buenos Aires, Argentina

Centro Medico Dr Laura Maffei Investigacion Clinica Aplicada

🇦🇷

Ciudad Autonoma de Buenos Aire, Ciudad Autónoma De Buenos Aire, Argentina

East-West Medical Research Institute

🇺🇸

Honolulu, Hawaii, United States

Rainier Clinical Research Center

🇺🇸

Renton, Washington, United States

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