Cardiovascular Risk Assessment For Kidney Transplantation - Utility of Computed Tomography Coronary Angiography in the Assessment of Patients Awaiting Kidney Transplantation

Status: Recruiting
Location: See all (2) locations...
Intervention Type: Radiation
Study Type: Observational
SUMMARY

Cardiovascular disease (for example, heart attack, stroke, heart failure) is the commonest complication of kidney failure. Kidney transplantation reduces cardiovascular risk but cardiovascular disease remains the commonest cause of death in patients following transplantation. Current strategies to assess patient's cardiovascular risk prior to kidney transplantation do not identify those at highest risk and do not improve outcomes. This study will use a heart scan known as computed tomography coronary angiography (CTCA) to see whether this scan can identify patients at highest risk of future cardiovascular disease prior to transplantation. Studies have shown it is able to do this in patients with normal kidney function. The aim of this study is to develop CTCA as an effective tool to risk stratify patients prior to kidney transplantation.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 16
Healthy Volunteers: f
View:

• Has kidney failure and is on the waitlist for a kidney transplant

• Age 16 years and over

• Able to give informed consent

Locations
Other Locations
United Kingdom
Royal Infirmary of Edinburgh
RECRUITING
Edinburgh
Queen Elizabeth Hospital
NOT_YET_RECRUITING
Glasgow
Contact Information
Primary
Gavin B Chapman, MBChB
gchapma2@ed.ac.uk
00447713349318
Backup
Neeraj Dhaun, MBChB
bean.dhaun@ed.ac.uk
Time Frame
Start Date: 2024-01-24
Estimated Completion Date: 2032-01
Participants
Target number of participants: 332
Treatments
Patients waitlisted for kidney transplantation
Patients who have been placed on the waiting list for a kidney transplant within Scotland
Sponsors
Collaborators: NHS Greater Glasgow and Clyde, University of Glasgow, NHS Lothian, Chief Scientist Office of the Scottish Government
Leads: University of Edinburgh

This content was sourced from clinicaltrials.gov