Determinants of phosphorus mobilization during hemodialysis

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Presentation transcript:

Determinants of phosphorus mobilization during hemodialysis John K. Leypoldt, Baris U. Agar, Alp Akonur, Audrey M. Hutchcraft, Kenneth O. Story, Bruce F. Culleton Kidney International Volume 84, Issue 4, Pages 841-848 (October 2013) DOI: 10.1038/ki.2013.205 Copyright © 2013 International Society of Nephrology Terms and Conditions

Figure 1 Schematic demonstration of the effect of phosphorus mobilization clearance (KM) on intradialysis and postdialysis serum phosphorus concentration normalized by its initial value. Different curves are plotted for different values of KM as indicated; all other parameters were constant. The hemodialysis treatment time is assumed to be 240min. Kidney International 2013 84, 841-848DOI: (10.1038/ki.2013.205) Copyright © 2013 International Society of Nephrology Terms and Conditions

Figure 2 Serum concentration plotted versus time during and up to 60min after a hemodialysis treatment for one example patient comparing nonlinear regression analysis using four or six serum phosphorus concentration measurements. The estimate±s.e. for phosphorus mobilization clearance and postdialysis central distribution volume of phosphorus were 103±8ml/min and 12.9±1.4l using four measurements and 110±8ml/min and 12.1±1.2l using six measurements. Kidney International 2013 84, 841-848DOI: (10.1038/ki.2013.205) Copyright © 2013 International Society of Nephrology Terms and Conditions

Figure 3 Phosphorus mobilization clearance (KM) determined by nonlinear regression in 774 patients (on a log scale) plotted versus serum predialysis phosphorus concentration. The log-linear relationship was statistically significant (P<0.001); the correlation coefficient (R) was -0.510. Kidney International 2013 84, 841-848DOI: (10.1038/ki.2013.205) Copyright © 2013 International Society of Nephrology Terms and Conditions

Figure 4 Phosphorus mobilization clearance (KM) determined by nonlinear regression in 774 patients (on a log scale) plotted versus postdialysis body weight. The log-linear relationship was statistically significant (P<0.001); the correlation coefficient (R) was 0.241. Kidney International 2013 84, 841-848DOI: (10.1038/ki.2013.205) Copyright © 2013 International Society of Nephrology Terms and Conditions

Figure 5 Postdialysis central distribution volume of phosphorus (Vpost) determined by nonlinear regression in 774 patients (on a log scale) plotted versus serum predialysis phosphorus concentration. The log-linear relationship was statistically significant (P<0.001); the correlation coefficient (R) was -0.142. Kidney International 2013 84, 841-848DOI: (10.1038/ki.2013.205) Copyright © 2013 International Society of Nephrology Terms and Conditions

Figure 6 Postdialysis central distribution volume of phosphorus (Vpost) determined by nonlinear regression in 774 patients (on a log scale) plotted versus postdialysis body weight. The log-linear relationship was statistically significant (P<0.001); the correlation coefficient (R) was 0.274. Kidney International 2013 84, 841-848DOI: (10.1038/ki.2013.205) Copyright © 2013 International Society of Nephrology Terms and Conditions

Figure 7 Postdialysis central distribution volume of phosphorus (Vpost) determined by nonlinear regression in 774 patients (on a linear scale) plotted versus one-third of the urea distribution volume. The linear relationship was statistically significant (P<0.001); the correlation coefficient (R) was 0.326. Kidney International 2013 84, 841-848DOI: (10.1038/ki.2013.205) Copyright © 2013 International Society of Nephrology Terms and Conditions