Application of the 2017 KDIGO Guideline for the Evaluation and Care of Living Kidney Donors to Clinical Practice.

Division of Nephrology, Western University, London, Ontario, Canada. Division of Nephrology, Tufts Medical Center, Boston, Massachusetts. Division of Nephrology, Hennepin County Medical Center, Minneapolis, Minnesota. Kidney Disease: Improving Global Outcomes, Brussels, Belgium. Saint Louis University Transplant Center, St. Louis, Missouri.

Clinical journal of the American Society of Nephrology : CJASN. 2020;(6):896-905

Abstract

The Kidney Disease: Improving Global Outcomes (KDIGO) 2017 "Clinical Practice Guideline on the Evaluation and Care of Living Kidney Donors" was developed to assist medical professionals who evaluate living kidney donor candidates and provide care before, during, and after donation. This guideline Work Group concluded that a comprehensive approach to donor candidate risk assessment should replace eligibility decisions on the basis of assessments of single risk factors in isolation. To address all issues important to living donors in a pragmatic and comprehensive guideline, many of the guideline recommendations were on the basis of expert consensus opinion even when no direct evidence was available. To advance available evidence, original data analyses were also undertaken to produce a "proof-of-concept" risk projection model for kidney failure. This was done to illustrate how the community can advance a new quantitative framework of risk that considers each candidate's profile of demographic and health characteristics. A public review by stakeholders and subject matter experts as well as industry and professional organizations informed the final formulation of the guideline. This review highlights the guideline framework, key concepts, and recommendations, and uses five patient scenarios and 12 guideline statements to illustrate how the guideline can be applied to support living donor evaluation and care in clinical practice.

Methodological quality

Publication Type : Review

Metadata