Oxford University Hospitals

ILD138

A kidney transplant is the best treatment for someone with kidney failure. While people generally do well for the first year after a transplant, some people's transplants stop working or are rejected by their bodies after only a short period of time. Also, for many patients, long-term outcomes are not good. Over time, transplanted kidneys can stop working and people will need another transplant. It is hard to measure long-term outcomes in clinical trials, because most trials only run for a few years and only collect short or medium term outcome information. Factors such as age, sex, and patient biology may affect how well someone is likely to do after a transplant. We want to look at the eGFR, a measure of how well the kidneys are functioning, and how this changes over time, to see if it can be used to predict which patients do well after a transplant and which don't. There is some evidence that the eGFR shows different patterns of changes in different types of people, and those patterns of changes might be linked to whether a transplanted kidney continues working or stop working. We will use the UK Renal Registry's data to look at eGFR and how it changes over time in kidney transplant recipients, and compare this to short and long term outcomes. We will look for factors such as age, sex, and patient biology, that might relate to these different patterns. We will also look at how the eGFR patterns change as people's kidney function declines, and look for a cut-off point that can be used to predict a patient's future kidney function. We will use this information to help us understand why people with apparently similar characteristics have very different post-transplant outcomes.