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Monday, February 22, 2016

iChoose Kidney: A Clinical Decision Aid for Kidney Transpla... : Transplantation

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Transplantation:
doi: 10.1097/TP.0000000000001019
Original Clinical Science-General

iChoose Kidney: A Clinical Decision Aid for Kidney Transplantation Versus Dialysis Treatment

Patzer, Rachel E. PhD, MPH; Basu, Mohua MPH; Larsen, Christian P. MD, DPhil; Pastan, Stephen O. MD; Mohan, Sumit MD, MPH; Patzer, Michael BS; Konomos, Michael MS, CMI; McClellan, William M. MD, MPH; Lea, Janice MD; Howard, David PhD; Gander, Jennifer PhD, MPH; Arriola, Kimberly Jacob PhD, MPH

Supplemental Author Material

Abstract

Background: Despite a significant survival advantage of kidney transplantation compared with dialysis, nearly one third of end-stage renal disease (ESRD) patients are not educated about kidney transplantation as a treatment option at the time of ESRD diagnosis. Access to individualized, evidence-based prognostic information is needed to facilitate and encourage shared decision making about the clinical implications of whether to pursue transplantation or long-term dialysis.

Methods: We used a national cohort of incident ESRD patients in the US Renal Data System surveillance registry from 2005 to 2011 to develop and validate prediction models for risk of 1- and 3-year mortality among dialysis versus kidney transplantation. Using these data, we developed a mobile clinical decision aid that provides estimates of risks of death and survival on dialysis compared with kidney transplantation patients.

Results: Factors included in the mortality risk prediction models for dialysis and transplantation included age, race/ethnicity, dialysis vintage, and comorbidities, including diabetes, hypertension, cardiovascular disease, and low albumin. Among the validation cohorts, the discriminatory ability of the model for 3-year mortality was moderate (c statistic, 0.7047; 95% confidence interval, 0.7029-0.7065 for dialysis and 0.7015; 95% confidence interval, 0.6875-0.7155 for transplant). We used these risk prediction models to develop an electronic, user-friendly, mobile (iPad, iPhone, and website) clinical decision aid called iChoose Kidney.

Conclusions: The use of a mobile clinical decision aid comparing individualized mortality risk estimates for dialysis versus transplantation could enhance communication between ESRD patients and their clinicians when making decisions about treatment options.

Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.

Source
Transplantation. 100(3):630-639, March 2016.
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