Volume 93, Issue 3, Pages (March 2018)

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Volume 93, Issue 3, Pages 691-699 (March 2018) Baseline total kidney volume and the rate of kidney growth are associated with chronic kidney disease progression in Autosomal Dominant Polycystic Kidney Disease  Alan S.L. Yu, Chengli Shen, Douglas P. Landsittel, Peter C. Harris, Vicente E. Torres, Michal Mrug, Kyongtae T. Bae, Jared J. Grantham, Frederic F. Rahbari-Oskoui, Michael F. Flessner, William M. Bennett, Arlene B. Chapman  Kidney International  Volume 93, Issue 3, Pages 691-699 (March 2018) DOI: 10.1016/j.kint.2017.09.027 Copyright © 2017 International Society of Nephrology Terms and Conditions

Figure 1 Flow diagram showing the enrolled study participants who were included in the final analysis. Numbers shown are for analysis of the outcome of chronic kidney disease (CKD) stage 3, as determined from measured glomerular filtration rate (GFR). ESRD, end-stage renal disease; LTFU, lost to follow-up. Kidney International 2018 93, 691-699DOI: (10.1016/j.kint.2017.09.027) Copyright © 2017 International Society of Nephrology Terms and Conditions

Figure 2 Linear correlations between baseline height-adjusted total kidney volume (htTKV) and iothalamate glomerular filtration rate (GFR) during follow-up. Best-fit lines and Spearman correlation coefficients (r) were determined at baseline and at 7 subsequent visits. P values for all time points < 0.0001. Kidney International 2018 93, 691-699DOI: (10.1016/j.kint.2017.09.027) Copyright © 2017 International Society of Nephrology Terms and Conditions

Figure 3 Scatterplot showing the correlation between annual percentage change in height-adjusted total kidney volume (htTKV), and the annual change in iothalamate glomerular filtration rate (GFR) during the study. Spearman correlation coefficient (r) is shown. Kidney International 2018 93, 691-699DOI: (10.1016/j.kint.2017.09.027) Copyright © 2017 International Society of Nephrology Terms and Conditions

Figure 4 Improvement in the ability of the models to predict various chronic kidney disease (CKD) outcomes after the addition of height-adjusted total kidney volume (htTKV) and/or autosomal dominant polycystic kidney disease genotype, as assessed by the net reclassification index (NRI). Model 1 (base model): sex, race, body mass index, baseline age, and glomerular filtration rate (GFR); Model 2: base model + genotype; Model 3: base model + htTKV; Model 4: base model + genotype + htTKV. ESRD, end-stage renal disease. Kidney International 2018 93, 691-699DOI: (10.1016/j.kint.2017.09.027) Copyright © 2017 International Society of Nephrology Terms and Conditions

Figure S1 Projected age at onset of chronic kidney disease (CKD) by survival analysis. The figures show Kaplan-Meier plots of age in years against the proportion event-free for each CKD stage, as defined by glomerular filtration rate measured by corrected iothalamate clearance (ml/min per 1.73 m2). Kidney International 2018 93, 691-699DOI: (10.1016/j.kint.2017.09.027) Copyright © 2017 International Society of Nephrology Terms and Conditions