University of Groningen. Prediction and monitoring of chronic kidney disease Schutte, Elise

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University of Groningen Prediction and monitoring of chronic kidney disease Schutte, Elise IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2017 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Schutte, E. (2017). Prediction and monitoring of chronic kidney disease [Groningen]: Rijksuniversiteit Groningen Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 30-12-2018

Prediction and monitoring of chronic kidney disease Elise Schutte

Prediction and monitoring of chronic kidney disease 2017 E. Schutte ISBN: 978-94-028-0676-2 Cover illustration: Bert Hoevenberg Grafisch ontwerp & Webdesign Layout: Legatron Electronic Publishing, Rotterdam Printed by: Ipskamp Drukkers, Enschede Financial support by Bayer, the Dutch Kidney Foundation, Graduate School of Medical Sciences, University Medical Center Groningen and the University of Groningen is gratefully acknowledged. No part of this thesis may be reproduced, stored in a retrieval system or transmitted in any form or by any means without permission from the author or, when appropriate, from the publishers of the publications.

Prediction and monitoring of chronic kidney disease Proefschrift ter verkrijging van de graad van doctor aan de Rijksuniversiteit Groningen op gezag van de rector magnificus prof. dr. E. Sterken en volgens besluit van het College voor Promoties. De openbare verdediging zal plaatsvinden op woensdag 7 juni 2017 om 11.00 uur door Elise Schutte geboren op 7 augustus 1988 te Vriezenveen

Promotores Prof. dr. R.T. Gansevoort Prof. dr. B.H.R. Wolffenbuttel Prof. dr. H.J. Lambers Heerspink Copromotor Dr. H.L. Lutgers Beoordelingscommissie Prof. dr. H.A.H. Kaasjager Prof. dr. P.M. ter Wee Prof. dr. J.L. Hillege

Contents Chapter 1 Introduction 7 Chapter 2 Serum bicarbonate and kidney and cardiovascular outcomes in 17 patients with diabetic nephropathy; A post hoc analysis of the RENAAL (Reduction in End Points in Non-Insulin-dependent diabetes with the Angiotensin II Antagonist Losartan) and IDNT (Irbesartan Diabetic Nephropathy Trial) trials Chapter 3 The association of skin autofluorescence levels with kidney function 41 decline in patients with peripheral artery disease Chapter 4 Will the future lie in multitude? A critical appraisal of biomarker panel 57 studies on prediction of diabetic kidney disease progression Chapter 5 Creatinine for monitoring of kidney function over time: a comparison of 75 routine versus single run measurement and Jaffe versus enzymatic assays Chapter 6 Creatinine and Cystatin C- based egfr slopes for monitoring change 89 in kidney function over time Chapter 7 Estimating GFR using creatinine, cystatin C, beta-2-microglobulin or 105 beta-trace protein to assess change in kidney function over time Chapter 8 Measured GFR: not a gold, but a gold plated standard 131 Chapter 9 Summary and future perspectives 141 Chapter 10 Samenvatting voor de geïnteresseerde niet-medicus 155 Chapter 11 Dankwoord 173 Chapter 12 Publications 177