Observational Study of Kidney Transplant Diagnostics
This observational study is looking at a new way to diagnose problems in kidney transplants. Currently, doctors use the Banff Classification, which is based on agreement among experts. However, this study aims to improve diagnosis by using a new system that combines information from molecular tests (looking at genes and cells), tissue samples (histopathology), and other patient information. The goal is to create a more accurate way to understand why a kidney transplant might not be working well. You may be able to join if you are 18 or older and are having a kidney biopsy because your doctor thinks there might be a problem with your transplanted kidney. The study will be successful if this new diagnostic system is proven to work well. The study has already collected information from over 2,300 participants.
- Study design
- This is an observational study aiming to enroll 500 participants, though it has already collected data from over 2,300. It is not testing a specific treatment, but rather a new diagnostic system.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- Follow-up data is, and will be, collected. The primary endpoint is measured between 2013 and 2016.
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Diagnostic and Therapeutic Applications in Microarrays in Organ Transplantation
At a glance
Conditions
Where it's being run
26 sites across 24 statesStudy leadership
- Philip F Halloran, MD PhD · PRINCIPAL_INVESTIGATOR · University of Alberta
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Validate the Integrated Diagnostic System in the International Collaborative Microarray (INTERCOM) Study2013-2016
1. The rejection classifier predicts Banff diagnosis of any rejection: ABMR, TCMR, or mixed ABMR and TCMR; 2. The TCMR classifier predicts the presence of Banff TCMR lesions/diagnoses; 3. The ABMR classifier predicts the presence of ABMR lesions; 4. In late (\>1yr) biopsies for clinical indications, the failure classifier predicts failure within three years.