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dc.contributor.advisorO'Donnell, Martin
dc.contributor.authorSexton, Donal
dc.description.abstractSummary of Contents There are two broad themes in this research thesis. The first is an exploration of the ability of measures of kidney function and urinary protein excretion to predict death based on non-parametric methodology known as classification tree recursive partitioning. In the second part of the thesis, the clinical epidemiology of kidney failure from various rare diseases is characterised including trends in incidence, mortality and kidney transplant in the United States based on national registry data.en_IE
dc.publisherNUI Galway
dc.titleTrends in the incidence and outcomes of end stage kidney disease from specific causes and the ability of measures of kidney function to predict mortality in community dwelling individualsen_IE
dc.contributor.funderHealth Research Boarden_IE
dc.contributor.funderIrish Nephrology Societyen_IE
dc.local.noteWith advances in the treatment of diseases which cause kidney failure it is of interest whether kidney failure from these conditions is becoming less common. We investigated whether the frequency of kidney failure from diseases such as Systemic Lupus Erythematosus, Scleroderma and Haemolytic Uraemic Syndrome have changed over the past 15 years in the United States of America. We also investigated whether abnormalities in kidney function in the general population is important in terms of prediction of death in comparison to traditional risk factors such as high blood pressure and cholesterol.en_IE

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