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A Simplified Stepwise Approach to Echo Guidance during Percutaneous Mitral Valve Repair
Published on: October 16, 2021
Leveraging Self-Reporting in an Existing e-Cohort to Identify Clinically Relevant Mitral Valve Prolapse: Pilot
Rohit Jhawar1, Amy Rich1, Luca Cristin1
1Department of Medicine, Division of Cardiology, University of California San Francisco, 535 Mission Bay Boulevard South, San Francisco, CA, 94158, United States, 1 4155141162.
JMIR Formative Research
|June 24, 2026
Summary
Digital tools effectively identified and recruited participants with clinically relevant mitral valve prolapse (MVP) for a registry. This e-cohort approach efficiently captures cases of significant mitral regurgitation and arrhythmias.
Area of Science:
- Cardiology
- Digital Health
- Clinical Research
Background:
- Mitral valve prolapse (MVP) is a common heart valve condition.
- A minority of MVP cases lead to heart failure, severe mitral regurgitation (MR), or sudden death.
- Digital tools offer potential for efficient participant recruitment in MVP research.
Purpose of the Study:
- To assess the feasibility of using an existing e-cohort to identify and characterize MVP cases.
- To evaluate the recruitment of MVP patients into a registry using self-reported data.
- To confirm MVP diagnosis and collect clinical data through digital surveys.
Main Methods:
- Surveyed 5746 participants in the Health eHeart Study e-cohort.
- Collected self-reported MVP diagnoses and relevant medical records.
- Confirmed MVP via echocardiograms and invited eligible participants to an MVP Registry.
- Conducted 1-month and 5-year follow-up surveys for clinical outcomes.
Main Results:
- 520 responses were collected; 16.3% self-reported MVP.
- MVP confirmed in 32.9% (n=28) of those providing echocardiograms; all enrolled in the registry.
- More severe MR correlated with accurate MVP and MR self-reporting (OR 10.58 and 4.86).
- Longitudinal data collected from 60.7%-64.3% of confirmed MVP participants.
Conclusions:
- e-Cohort methods with self-reported data are feasible for MVP research prescreening.
- This approach efficiently identifies and retains MVP cases with clinically relevant conditions.
- Digital recruitment can overcome limitations of clinic-based or family screening methods.
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