PhD ceremony: Ms. N. Halbesma, 14.45 uur, Academiegebouw, Broerstraat 5, Groningen
Title: Predictors of accelerated renal function decline in the general population
Promotor(s): prof. P.E. de Jong, prof. R.P. Stolk
Faculty: Medical Sciences
The number of subjects with a chronic kidney disease is increasing. Early stages of kidney failure do not cause symptoms and therefore patients are often diagnosed late. The aim of this research was to investigate whether it is possible to identify subjects at high risk of developing renal failure in an early stage of their disease. High concentration of protein loss in the urine (macroalbuminurie) is a valuable predictor for accelerated renal function decline. Furthermore predictors for accelerated renal function loss differ by gender. In males loss of protein in the urine, high blood pressure, high plasma glucose and increase during follow-up in protein loss, blood pressure and cholesterol are the most important predictors. In females also an increase in cholesterol was a predictor for subsequent renal function loss. However, loss of protein and increases in protein loss, blood pressure and cholesterol were not associated with accelerated renal function loss in females. The results of this thesis are also used to develop a useful clinical tool, the ‘Renal Risk Score’. With this tool, the risk of developing renal failure can be calculated based on a few easy to measure characteristics of an individual.
Hoe kunnen we op een efficiënte manier bioplastic maken uit suiker, zodat de prijs vergelijkbaar wordt met die van plastic uit aardolie? Daar doen de Rijksuniversiteit Groningen (RUG) en verschillende bedrijven en kennisinstellingen de komende drie...
Getransplanteerde nieren hebben baat bij extra zuurstof voorafgaand aan de transplantatie. Dat blijkt uit onderzoek van UZ Leuven, UMC Groningen en Oxford University, dat vandaag in het wetenschappelijke tijdschrift The Lancet is gepubliceerd. De...
The Northern Netherlands region is setting up the AI Hub Northern Netherlands, a new network organization that is bringing together companies, knowledge institutions and other organizations that work with artificial intelligence (AI).