Role of Cardiac Computed Tomography in Optimising Response to Cardiac Resynchronisation Therapy
Not Applicable
- Conditions
- Heart Failure
- Registration Number
- NCT02434159
- Lead Sponsor
- University College, London
- Brief Summary
The purpose of this study is to determine if detailed scanning of the heart before biventricular device insertion will improve outcomes for heart failure patients.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 100
Inclusion Criteria
- Age > 18, <90
- Patients with moderate or severe heart failure ( NYHA functional class II-IV) due to ischaemic or non-ischaemic cardiomyopathy.
- QRS duration >120ms on 12 lead ECG
- LVEF < 35%
- LVEDD >55 mm
- Patients on optimum medical treatment for heart failure. The doses of these medications have been stable for 3 months.
Exclusion Criteria
- Patients with a cardiac or cerebral ischemic event within the previous three months prior to recruitment
- Patients who had had an atrial arrhythmia within one month prior to recruitment
- Patients with a systolic blood pressure of more than 170 or less than 80 mm Hg
- Patients with a heart rate of more than 140 beats per minute
- Patients with severe renal failure (eGFR < 30)
- Patients with a history of allergy to iodine based contrast agents
- Predicted life expectancy < 1 year
- Pregnancy
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method 6 minute walk test 6 months
- Secondary Outcome Measures
Name Time Method
Related Research Topics
Explore scientific publications, clinical data analysis, treatment approaches, and expert-compiled information related to the mechanisms and outcomes of this trial. Click any topic for comprehensive research insights.
What molecular mechanisms underlie cardiac resynchronisation therapy response in heart failure patients with left bundle branch block?
How does pre-procedural cardiac computed tomography compare to cardiac magnetic resonance in predicting CRT outcomes for dilated cardiomyopathy patients?
Which biomarkers correlate with improved ejection fraction following biventricular pacing in NCT02434159 study participants?
What adverse events are associated with cardiac imaging-guided CRT optimization versus standard echocardiography-based approaches?
How do machine learning algorithms applied to cardiac CT data improve patient selection for cardiac resynchronisation therapy in heart failure with reduced ejection fraction?
Trial Locations
- Locations (1)
University College London Hospital
🇬🇧London, United Kingdom
University College London Hospital🇬🇧London, United KingdomVanessa CobbContactnesscobb@hotmail.com