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OpenTrials
Completed

NCT Number: NCT04551872

RESILIENCE: Personalizing Cardiovascular Health

Obesity is a rapidly growing epidemic that is associated with the development of cardiovascular disease (CVD). However, some individuals with obesity appear to be resistant to CVD, and other individuals demonstrate resilience to obesity and CVD risk factors. The investigator's overall objective is to understand factors contributing to the heterogeneity of CVD resistance and resilience among individuals with obesity at Duke.

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Key information

Age range

40 year–75 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Duke University Health System

Durham, North Carolina, 27710, United States

About this study

The investigator aims to recruit participants with 4 phenotypes: 200 participants with obesity (BMI ≥ 30) and high 10-year ASCVD risk (≥20%), 200 participants with obesity (BMI ≥ 30) and low 10-year ASCVD risk (<7.5%), 100 participants with normal weight (BMI 18-25) and high 10-year ASCVD risk (≥20%), and 100 participants with normal weight (BMI 18-25) and low 10-year ASCVD risk (<7.5%). Clinical, behavioral, and molecular characteristics will be compared at baseline between the 4 groups to understand heterogeneity between obesity and risk for CVD, and participants with obesity will undergo a 6-month weight loss intervention. In individuals with obesity, clinical, behavioral, and molecular characteristics will be compared between baseline and 6 months to understand (a) predictors of response to the intervention and (b) how these factors change with weight loss. Differences in branched-chain amino acids will be compared between all groups, both at baseline and at 6 months (for those participants undergoing the digital-weight loss intervention). Other clinical, behavioral, metabolomic, genetic, and microbiome parameters will also be compared in an exploratory fashion. There may be possible risk of loss of confidentiality, but this risk is low and measures will be taken to minimize this risk.

Recruitment Sub-Study: We aim to determine optimal strategies to recruit participants into the study via electronic recruitment. We will identify potentially eligible participants within the Duke Electronic Health Record and reach out them via electronic means. Potentially eligible participants will be randomized in a 2x2 factorial fashion to receive personal email vs. MyChart message, and to different message content (1 of 4 types). We will analyze: a) which modality of introductory message delivery (MyChart vs personal email) will lead to greater engagement (as assessed by clicking on the study website page to get more information) b) which messages (altruism vs personal benefit vs scientific importance) will lead to greater engagement.

Consent Sub-Study: We aim to determine optimal strategies to consent participants into the study via e-consent portal. Potential participants who land on the study website will be randomized to consent via one of four methods, followed by a consent-comprehension quiz: a) video consent with study information provided by a representative patient, b) video consent with study information provided by the lead physician of the study, c) video consent with study information provided by animation/cartoon or d) text-based study information and consent (standard). We will analyze which type of consent form will lead to greater completion of consent forms and greater comprehension of the consent form.

Coronary Artery Calcium (CAC) Score Sub-Study: At baseline visit, a total of 300 participants (150 with obesity and 150 without obesity) will undergo CT testing to determine coronary artery calcium (CAC) score.

Basic Science Sub-Study: Thirty participants with obesity (15 high-risk for CV disease and 15 low-risk for CV disease) will participate in the basic science sub-study where additional blood will be drawn at baseline visit and at follow-up visit. This blood will be processed to isolate the endothelial colony forming cells and we will examine the effect of altered plasma branched chain amino acid (BCAA) levels on vascular function within these groups.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults 40-75 years old
  • At least one clinic encounter at Duke with BMI record in the EHR within previous year
  • Has a current primary care provider listed listed in EHR
  • No prior history of ASCVD, as defined by ICD9, ICD10, and CPT codes for coronary artery disease, myocardial infarction, stroke, peripheral arterial disease, prior revascularization for coronary, cerebral, or peripheral arteries.
  • Fall into 1 of 4 categories: 200 participants with obesity (BMI ≥ 30) and high 10-year ASCVD risk (≥20%), 200 participants with obesity (BMI ≥ 30) and low 10-year ASCVD risk (<7.5%), 100 participants with normal weight (BMI 18-25) and high 10-year ASCVD risk (≥20%), and 100 participants with normal weight (BMI 18-25) and low 10-year ASCVD risk (<7.5%).
  • Have internet access
  • Have an email address listed in the EHR
  • Have access to MyChart
  • Have a smartphone
  • Be able to read and understand English

Exclusion criteria

  • Participants "opted out" of being contacted for research in Maestro Care
  • Pregnant at the time of enrollment or <12 months post-partum
  • Prior bariatric surgery

Treatment and study plan

Digital weight loss intervention

Behavioral

Participants with obesity enter into a proven 6 month weight loss program that utilizes health coaching and goal-setting. It is a remote intervention that is delivered entirely over their phones. Participants will also receive a FitBit and electronic scale.

Primary outcomes

  1. Average branched-chain amino acid levels as measured by metabolomics analyses

    Time frame: Baseline

  2. Change in branched-chain amino acid levels as measured by metabolomics analyses

    Time frame: Baseline, End of intervention (up to 6 months)

Other outcomes

  1. Gut microbiome composition as measured by DNA sequencing

    Time frame: Baseline

  2. Change in gut microbiome composition as measured by DNA sequencing

    Time frame: Baseline, End of intervention (up to 6 months)

  3. Genetic markers as measured by whole exome sequencing of DNA from saliva

    Time frame: Baseline

  4. Impact of branched-chain amino acids on tissue engineered blood vessel function as measured by monocyte adhesion

    Time frame: Baseline

  5. Impact of branched-chain amino acids on tissue engineered blood vessel function as measured by foam cell formation

    Time frame: Baseline

  6. Change in impact of branched-chain amino acids on tissue engineered blood vessel function as measured by monocyte adhesion

    Time frame: Baseline, End of intervention (up to 6 months)

  7. Change in impact of branched-chain amino acids on tissue engineered blood vessel function as measured by foam cell formation

    Time frame: Baseline, End of intervention (up to 6 months)

  8. Average levels of inflammation measured by hs-CRP

    Time frame: Baseline

  9. Change in average levels of inflammation measured by by hs-CRP

    Time frame: Baseline, End of intervention (up to 6 months)

  10. Average lipid profile as measured by total cholesterol

    Time frame: Baseline

  11. Change in lipid profile as measured by total cholesterol

    Time frame: Baseline, End of intervention (up to 6 months)

  12. Average lipid profile as measured by HDL

    Time frame: Baseline

  13. Change in lipid profile as measured by HDL

    Time frame: Baseline, End of intervention (up to 6 months)

  14. Average lipid profile as measured by LDL

    Time frame: Baseline

  15. Change in lipid profile as measured by LDL

    Time frame: Baseline, End of intervention (up to 6 months)

  16. Average blood glucose control as measured by HbA1c

    Time frame: Baseline

  17. Change in blood glucose control as measured by HbA1c

    Time frame: Baseline, End of intervention (up to 6 months)

  18. Average blood glucose control as measured by fasting glucose

    Time frame: Baseline

  19. Change in blood glucose control as measured by fasting glucose

    Time frame: Baseline, End of intervention (up to 6 months)

  20. Average blood glucose control as measured by blood insulin level

    Time frame: Baseline

  21. Change in blood glucose control as measured by blood insulin level

    Time frame: Baseline, End of intervention (up to 6 months)

  22. Average coronary artery calcium score as measured by CT testing

    Time frame: Baseline

  23. Change in coronary artery calcium score as measured by CT testing

    Time frame: Baseline, End of intervention (up to 6 months)

  24. Engagement as measured by percent of invitees viewing study-information page

    Time frame: End of study, up to 2 years

  25. Best consent strategy as measured by percent of invitees signing the consent form

    Time frame: End of study, up to 2 years

  26. Best consent strategy as measured by average score on Informed Consent Form comprehension quiz

    Time frame: End of study, up to 2 years

    7 multiple choice questions, best outcome is 7/7 (100%), worst outcome is 0/7 (0%)

Sponsors and collaborators

Lead sponsor

Duke University

Other

Registry information

Official study title

Personalizing Cardiovascular Health: A Population Approach to Promoting CVD Resistance and Resilience Among Individuals With Obesity

Acronym: RESILIENCE

Important dates

Study start
2020
Primary completion
2023
Study completion
2024
First posted
Sep 16, 2020
Registry last updated
Apr 24, 2024

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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