Assessment of Myocardial Tissue Damage in Aortic Stenosis
Public ClinicalTrials.gov record NCT02101619. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
Assessment of Myocardial Tissue Damage in Aortic Stenosis for Risk Stratification
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
Aortic stenosis (AS) is the most common valve disease in the United States and most common indication for valve replacement surgery. Anatomical and hemodynamic severity of AS is insufficient for elucidating patients' prognosis. Therefore, the decision about the optimal timing of surgical intervention remains critical. However, the changes in structure and electrical activity of the cardiac muscle can be assessed by noninvasive imaging and electrocardiography (ECG). Degenerative myocardial changes characterized by fibrosis or collagen deposits are frequently observed in AS patients and have a negative impact on patient outcomes. In this project, our objective is to determine whether echocardiographic image analysis of integrated backscatter (IB), which can express changes in myocardial tissue composition (amount of fibrosis) based on its ultrasound reflectivity, global left ventricular (LV) load as measured by Zva, and ECG analysis of the duration of the QRS interval have a role in risk stratification for AS patients and to apply those methods to identify which patients would benefit from surgical intervention. The investigators hypothesize that 1) the severity of myocardial damage can discriminate the prognosis in patients with AS, and 2) IB, Zva, and QRS interval can be diagnostic measures of the severity of myocardial damage. The investigators will measure the severity of myocardial fibrosis using MRI (reference) in 50 patients and will test the diagnostic significance of IB (testing method). Zva, QRS duration, and conventional echocardiographic measures will also be tested for diagnosing severity of myocardial fibrosis.
Study identification
- NCT ID
- NCT02101619
- Recruitment status
- Completed
- Study type
- Observational
- Phase
- Not listed
- Enrollment
- 59 participants
Conditions and interventions
Conditions
Interventions
Not listed
Eligibility (public fields only)
- Age range
- 65 Years and older
- Sex
- All
- Healthy volunteers
- Healthy volunteers not accepted
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Jul 31, 2013
- Primary completion
- May 31, 2016
- Completion
- May 31, 2016
- Last update posted
- Aug 16, 2016
2013 – 2016
United States locations
- U.S. sites
- 1
- U.S. states
- 1
- U.S. cities
- 1
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Mayo Clinic | Scottsdale | Arizona | 85259 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT02101619, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Aug 16, 2016 · Synced Sep 25, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT02101619 live on ClinicalTrials.gov.