Volume 49, Issue 3, Pages 156-162.e1 (September 2013) National Variation in Costs and Mortality for Leukodystrophy Patients in US Children's Hospitals  Cameron J. Brimley, BA, Jonathan Lopez, MD, Keith van Haren, MD, Jacob Wilkes, BA, Xiaoming Sheng, PhD, Clint Nelson, MD, E. Kent Korgenski, MS, Rajendu Srivastava, MD, FRCP, MPH, Joshua L. Bonkowsky, MD, PhD  Pediatric Neurology  Volume 49, Issue 3, Pages 156-162.e1 (September 2013) DOI: 10.1016/j.pediatrneurol.2013.06.006 Copyright © 2013 Elsevier Inc. Terms and Conditions

Figure 1 Leukodystrophy patient cost efficiency, volume, and mortality at different Pediatric Health Information System children's hospitals. Patient volume and cost efficiency are statistically significantly correlated; volume and mortality are not. Efficiency is shown as black squares, volume as circles, and mortality as stars. X-axis is the institution code; y-axis is percent. Pediatric Neurology 2013 49, 156-162.e1DOI: (10.1016/j.pediatrneurol.2013.06.006) Copyright © 2013 Elsevier Inc. Terms and Conditions

Supplemental Figure 1 Tree algorithm model for the final, seven-code algorithm. A tree model was fitted using binary recursive partitioning based on International Classification of Disease, 9th Edition, Clinical Modification and clinical transaction classification codes. In this model “1,” the right-hand choice at each node, indicates the presence of the indicated code, whereas “0” indicates the absence of the given code. The terminal nodes indicate the presence (“1”) or absence (“0”) of an inherited leukodystrophy. In this fashion, each patient is progressively sorted after entering the tree algorithm at the root or initial node. Pediatric Neurology 2013 49, 156-162.e1DOI: (10.1016/j.pediatrneurol.2013.06.006) Copyright © 2013 Elsevier Inc. Terms and Conditions