Diagnostic Performance of Coronary CT Angiography With CT FFR in Kidney Transplantation Candidates
Trial ID or NCT#
Status
Purpose
Patients with chronic kidney disease (CKD) before kidney transplantation require that obstructive coronary artery disease (CAD) is excluded, as cardiovascular complications are the leading cause of mortality in kidney transplant patients. However, in this patient population, the optimal method for the detection of obstructive CAD has not been identified. Noninvasive stress tests such as Dobutamine stress echocardiography or nuclear perfusion study have low diagnostic accuracy. CT fractional flow reserve measurement (CT FFR) is a novel non-invasive (FDA approved) imaging test to identify obstructive CAD. The goal of this project is to evaluate the diagnostic accuracy of CT FFR in the detection of obstructive coronary artery disease in patients with chronic kidney disease before kidney transplantation.
Official Title
Diagnostic Performance of Coronary Computed Tomography Angiography With Computed Tomography Fractional Flow Reserve in Kidney Transplantation Candidates
Eligibility Criteria
- * Candidates for kidney transplantation on dialysis without any residual kidney function AND referred to invasive coronary angiography for cardiac evaluation* Referral to invasive coronary angiography is based on algorithm used at the Transplant Readiness Assessment Clinic (TRAC) at Stanford:* A. Diabetic Candidates older than 45 years.* B. Diabetic Candidates under 45 years old and any one of the following criteria is present:* a) 25 year History of Diabetes* b) 5 year Smoking History* c) Abnormal EKG (ST-T wave changes)
- * Hemodynamically and clinically unstable condition (angina at rest, malignant arrhythmias)* Known ischemic heart disease (prior, documented myocardial infarction, prior stenting or coronary artery bypass graft surgery)* BMI\>30 kg/m2, or weight \>120 kg.* Atrial fibrillation or other arrhythmia, \>6 ectopic beats per minute* Known or suspected allergy to iodinated contrast medium* Pregnancy cannot be excluded
Investigator(s)
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Contact
Dominik Fleischmann, MD
650-723-7647
View on ClinicalTrials.gov