Volume 74, Issue 4, Pages (August 2008)

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Presentation transcript:

Volume 74, Issue 4, Pages 505-512 (August 2008) Gender differences in predictors of the decline of renal function in the general population Nynke Halbesma, Auke H. Brantsma, Stephan J.L. Bakker, Desiree F. Jansen, Ronald P. Stolk, Dick De Zeeuw, Paul E. De Jong, Ronald T. Gansevoort Kidney International Volume 74, Issue 4, Pages 505-512 (August 2008) DOI: 10.1038/ki.2008.200 Copyright © 2008 International Society of Nephrology Terms and Conditions

Figure 1 Graphical representation of the association between risk predictors and change in renal function during follow-up (assessed as slope through three eGFR values over time per individual). The Loess method (locally weighted polynomial regression analysis)52 is used to plot these associations. Using this method makes it possible to show a possible nonlinear relationship, as the plots are ‘distribution free’. The histograms (expressed as percentage) present the distributions of the predictors. HDL, high-density lipoprotein; SBP, systolic blood pressure; UAE, urinary albumin excretion. Kidney International 2008 74, 505-512DOI: (10.1038/ki.2008.200) Copyright © 2008 International Society of Nephrology Terms and Conditions

Figure 2 Flowchart of the PREVEND study. Kidney International 2008 74, 505-512DOI: (10.1038/ki.2008.200) Copyright © 2008 International Society of Nephrology Terms and Conditions