« Previous Next » American Journal of Kidney Diseases
Volume 56, Issue 5 , Pages 947-960 , November 2010

A Simple Tool to Predict Outcomes After Kidney Transplant

Bertram L. Kasiske, MD
- Department of Medicine, Hennepin County Medical Center, University of Minnesota, Minneapolis, MN
- Chronic Disease Research Group, Minneapolis Medical Research Foundation, Minneapolis, MN
- Address correspondence to Bertram L. Kasiske, MD, Department of Medicine, Hennepin County Medical Center, 701 Park Ave, Minneapolis, MN 55415
Ajay K. Israni, MD, MS
- Department of Medicine, Hennepin County Medical Center, University of Minnesota, Minneapolis, MN
- Chronic Disease Research Group, Minneapolis Medical Research Foundation, Minneapolis, MN
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
Jon J. Snyder, PhD, MS
- Chronic Disease Research Group, Minneapolis Medical Research Foundation, Minneapolis, MN
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
Melissa A. Skeans, MS
- Chronic Disease Research Group, Minneapolis Medical Research Foundation, Minneapolis, MN
Yi Peng, MS
- Chronic Disease Research Group, Minneapolis Medical Research Foundation, Minneapolis, MN
Eric D. Weinhandl, MS
- Chronic Disease Research Group, Minneapolis Medical Research Foundation, Minneapolis, MN

Received 16 February 2010 ,Accepted 22 June 2010.

Title	About	Type	File Size
Supplementary Table S1 (PDF)	Recipient, Donor, and Transplant Characteristics Included in the Analysis		0 MB
Supplementary Table S2 (PDF)	Full Model for Predicting Graft Loss Within 5 Years Posttransplant, Prediction Made at Time of Transplant		0 MB
Supplementary Table S3 (PDF)	Full Model for Predicting Graft Loss Within 5 Years Posttransplant, Prediction Made 7 Days Posttransplant		0 MB
Supplementary Table S4 (PDF)	Full Model for Predicting Graft Loss Within 5 Years Posttransplant, Prediction Made 1 Year Posttransplant		0 MB