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Age and Sex-Specific PREValence of AcqUirEd VALVular Heart DiseasE (PREVUE-VALVE)

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ClinicalTrials.gov Identifier: NCT05357404
Recruitment Status : Recruiting
First Posted : May 2, 2022
Last Update Posted : December 15, 2023
Sponsor:
Collaborators:
CVS Caremark
Hawthorne Effect Inc.
Columbia University
Vanderbilt University Medical Center
University of Michigan
Walgreens Co.
Information provided by (Responsible Party):
Cardiovascular Research Foundation, New York

Brief Summary:
The PREVUE-VALVE study will establish reliable, population-based estimates of Valvular Heart Disease (VHD) prevalence among older Americans and allow for the development and validation of several innovative tools to aid in the detection and diagnosis of Valvular Heart Disease (VHD).

Condition or disease
Valvular Heart Disease

Detailed Description:

With the aging population, the incidence and prevalence of VHD are increasing in the U.S. and other parts of the developed world. Despite the availability of effective therapies and procedures to treat VHD, many patients remain (1) untreated due to undiagnosed VHD, or inadequate access to appropriate VHD care or (2) treated later than recommended due to diagnosis late in the disease course or barriers to prompt care for VHD. To optimize care for patients with VHD, it is therefore essential to (1) know the true prevalence of these conditions in order to align screening efforts with access to treatment; and (2) develop validated tools to more effectively screen and diagnose patients with VHD.

In response to these unmet needs, the PREVUE-VALVE study will establish reliable, population-based estimates of VHD prevalence in the United States and allow for the development and validation of several innovative tools to aid in the detection and diagnosis of VHD. The results of this study will enable the investigators to make tangible progress toward the goal of treating all patients with VHD at the optimal time.

The study will be conducted in a sample of older individuals (i.e., age 65-85 years) that is representative of the U.S. population. The sample will be carefully curated to ensure traditionally underrepresented individuals are included and overrepresented, if possible. After obtaining informed consent, each participant will undergo a standard echocardiogram in order to identify VHD (specifically aortic, mitral, and tricuspid valve disease) and to quantify its severity using state-of-the-art methods in a core echocardiography laboratory. Echocardiograms will be performed in participants' homes in an effort to reduce any barriers towards participation. A variety of complementary data (i.e. blood sample, electrocardiograms, and clinical inventory including a standardized health status assessment) will be collected while study personnel are with participants. Formal statistical weighting methods will be applied to estimate the population prevalence of various subtypes of VHD (e.g., aortic stenosis, mitral regurgitation) from the raw data. In addition, the investigators will report the prevalence of VHD, including VHD subtypes, and describe the association between different blood analytes and ECG characteristics with VHD.

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Study Type : Observational
Estimated Enrollment : 2250 participants
Observational Model: Other
Time Perspective: Cross-Sectional
Official Title: Age and Sex-Specific PREValence of AcqUirEd VALVular Heart DiseasE (PREVUE-VALVE)
Actual Study Start Date : April 21, 2022
Estimated Primary Completion Date : April 2025
Estimated Study Completion Date : April 2025

Resource links provided by the National Library of Medicine





Primary Outcome Measures :
  1. Prevalence of Valvular Heart Disease [ Time Frame: Baseline ]
    The primary endpoint of the study is the presence of any significant (i.e. moderate or greater) valvular heart disease at the baseline assessment including aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, or tricuspid regurgitation.


Secondary Outcome Measures :
  1. Moderate or greater aortic stenosis (at baseline) [ Time Frame: Baseline ]
  2. Moderate or greater aortic regurgitation (at baseline) [ Time Frame: Baseline ]
  3. Moderate or greater mitral stenosis (at baseline) [ Time Frame: Baseline ]
  4. Moderate or greater mitral regurgitation (at baseline) [ Time Frame: Baseline ]
  5. Moderate or greater tricuspid regurgitation (at baseline) [ Time Frame: Baseline ]

Other Outcome Measures:
  1. Descriptive Statistics [ Time Frame: Baseline ]
    In addition to determining the population prevalence of each type of VHD at baseline, separate analyses will be performed to examine the cross-sectional relationship between age, sex, race, and ethnicity and the prevalence of valvular disease and its individual subtypes. The study will also evaluate the diagnostic performance of a machine learning model trained using 12-lead electrocardiograms to detect the primary endpoint and its components. Finally, the correlation between various blood analytes and significant valvular heart disease will also be assessed (specific analyses to be determined). In the future, long-term follow-up may be performed via linkage with health care claims data for patients who consent to this process.


Biospecimen Retention:   Samples With DNA
Study participants will have the option to undergo in-home phlebotomy in order to create a biospecimen repository ("biobank"). Blood samples will be collected during the home visit, and overnight mailed to the biobank core lab. Once they arrive at the biobank core lab, samples will be immediately processed, aliquoted, and frozen for future analyses.


Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.


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Ages Eligible for Study:   65 Years to 85 Years   (Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Probability Sample
Study Population
Adults aged 65-85 will be eligible to participate. Population sampling techniques will be used to ensure that the study population is broadly representative of the age, sex, and racial distribution of the United States.
Criteria

Inclusion Criteria:

  • Age 65-85
  • Ability to provide informed consent
  • Stably domiciled in a residence that can be accessed by study personnel

Exclusion Criteria:

  • History of complex congenital heart disease

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT05357404


Contacts
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Contact: Jena Ungarten 6465826599 jungarten@crf.org

Locations
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United States, California
Hawthorne Effect Recruiting
Lafayette, California, United States, 94549
Contact: Ah'Shirae Arana, MS    415-249-2481 ext 151    ahshirae.arana@hawthorne-effect.com   
Contact: David J Cohen, MD, MSc    646-434-4502    dcohen@crf.org   
Principal Investigator: David J Cohen, MD, MSc         
Sponsors and Collaborators
Cardiovascular Research Foundation, New York
CVS Caremark
Hawthorne Effect Inc.
Columbia University
Vanderbilt University Medical Center
University of Michigan
Walgreens Co.
Investigators
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Principal Investigator: David J Cohen, MD CardioVascular Research Foundation
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Responsible Party: Cardiovascular Research Foundation, New York
ClinicalTrials.gov Identifier: NCT05357404    
Other Study ID Numbers: PREVUE VALVE
First Posted: May 2, 2022    Key Record Dates
Last Update Posted: December 15, 2023
Last Verified: December 2023
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Cardiovascular Research Foundation, New York:
Valvular Heart Disease
Aortic Stenosis
Aortic Regurgitation
Mitral Regurgitation
Tricuspid Regurgitation
Epidemiology
Deep Learning
Electrocardiogram
Artificial intelligence
Biomarkers
Additional relevant MeSH terms:
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Heart Diseases
Heart Valve Diseases
Cardiovascular Diseases