| Literature DB >> 35646376 |
Dwight Sparkes1, Loretta Lee1, Blair Rutter1, Oksana Harasemiw2,3, Bjoerg Thorsteinsdottir4, Navdeep Tangri2,3.
Abstract
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.Entities:
Keywords: KFRE; kidney failure risk equation; opinion; patient perspectives; risk prediction
Year: 2022 PMID: 35646376 PMCID: PMC9133857 DOI: 10.1177/20543581221084522
Source DB: PubMed Journal: Can J Kidney Health Dis ISSN: 2054-3581
Figure 1.Key facts about the KFRE. The KFRE incorporates age, sex, eGFR, and urine ACR to predict risk.
Note. The 8-variable version also incorporates additional laboratory tests albumin, bicarbonate, calcium, and phosphate. KFRE = Kidney Failure Risk Equation; eGFR = estimated glomerular filtration rate; ACR = albumin-creatinine ratio.
Figure 2.An example of how to present personalized risk and risk reduction strategies to a patient with kidney disease.