Predicting Progression in Chronic Kidney Disease

Jan van den Brand, Jack Wetzels

One in ten persons suffers from chronic kidney disease (CKD). Ultimately CKD may progress to end stage renal disease (ESRD). Patients then require dialysis or kidney transplantation. Moreover, CKD patients are at increased risk of cardiovascular events. Due to the ageing population, CKD prevalence is expected to increase. Therefore, the burden of ESRD and cardiovascular disease is expected to increase as well. Better prevention of CKD progression is needed to curb this trend.

This project aims to compare measures of CKD progression and to refine international guidelines for the definition of progressive CKD. Hereto, ESRD incidence will be compared across three CKD cohorts from France, the USA and the Netherlands, respectively. In addition, CKD progression rates and determinants for ESRD will be compared across aformentioned cohorts. In the second part of the proposed work, we will create an overview of prognostic factors and prediction models for ESRD, cardiovascular outcome and mortality in CKD. We will combine the best predictors in meta-prognostic models using state-of-the-art meta-analysis methodology. Finally, we will extend these models to incorporate information collected during follow-up and create dynamic prognostic models. Such dynamic models can be continuously updated, and thus adhere closely to clinical practice.

In a follow-up study we will implement the results in clinical practice and ascertain impact on decision making and outcomes.

 

Radboud Institute for Health Sciences

Source of Funding

RadboudUMC aims to take the lead or at least actively contribute to the development of reliable, innovative and affordable healthcare. In this we focus on the health of man and society in the Netherlands as well as abroad.

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