TY - JOUR
T1 - Patient Perspectives on Integrating Risk Prediction Into Kidney Care
T2 - Opinion Piece
AU - Sparkes, Dwight
AU - Lee, Loretta
AU - Rutter, Blair
AU - Harasemiw, Oksana
AU - Thorsteinsdottir, Bjoerg
AU - Tangri, Navdeep
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work is a project of the Canadians Seeking Solutions and Innovations to Overcome Chronic Kidney Disease (Can-SOLVE CKD) Network, which is supported by the Canadian Institutes of Health Research (CIHR) under Canada’s Strategy for Patient Oriented Research Grant 20R26070.
Publisher Copyright:
© The Author(s) 2022.
PY - 2022/3
Y1 - 2022/3
N2 - Although Chronic Kidney Disease is common, only a relatively small proportion of individuals will reach kidney failure requiring dialysis or transplantation. Validated risk equations using routine laboratory tests have been developed that can easily be used at the bedside to help clinicians accurately predict the risk of kidney failure in their patient population, in turn informing patient-centered conversations, guiding appropriate nephrology referrals, improving the timing of dialysis treatment planning, and identifying individuals who are most likely to benefit from interventions. In this article, individuals living with kidney disease share why access to individualized prediction of kidney failure risk can help patients manage their disease and why it should be considered an essential component of kidney care.
AB - Although Chronic Kidney Disease is common, only a relatively small proportion of individuals will reach kidney failure requiring dialysis or transplantation. Validated risk equations using routine laboratory tests have been developed that can easily be used at the bedside to help clinicians accurately predict the risk of kidney failure in their patient population, in turn informing patient-centered conversations, guiding appropriate nephrology referrals, improving the timing of dialysis treatment planning, and identifying individuals who are most likely to benefit from interventions. In this article, individuals living with kidney disease share why access to individualized prediction of kidney failure risk can help patients manage their disease and why it should be considered an essential component of kidney care.
KW - KFRE
KW - kidney failure risk equation
KW - opinion
KW - patient perspectives
KW - risk prediction
UR - http://www.scopus.com/inward/record.url?scp=85127257716&partnerID=8YFLogxK
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U2 - 10.1177/20543581221084522
DO - 10.1177/20543581221084522
M3 - Article
AN - SCOPUS:85127257716
SN - 2054-3581
VL - 9
JO - Canadian Journal of Kidney Health and Disease
JF - Canadian Journal of Kidney Health and Disease
ER -