Key result
Updating the Kidney Failure Risk Equation to account for South Asian ethnicity and the competing risk of death yielded excellent discrimination (C-index 0.932) and reduced unnecessary referrals by 30.8%.
Why the study?
Previous recalibration of the Kidney Failure Risk Equation (KFRE) in the UK did not consider minority ethnic groups or the competing risk of death, leading to potential overestimation of kidney replacement therapy risk.
Does an updated Kidney Failure Risk Equation incorporating ethnicity and competing risk of death improve prediction of end-stage kidney disease in CKD patients?
Observational (n=29,745)
Yes
Does an updated Kidney Failure Risk Equation incorporating ethnicity and competing risk of death improve prediction of end-stage kidney disease in CKD patients?
Effect estimate: C-index 0.932 (95% CI 0.915-0.946)
Absolute Event Rate: 0.932% vs 0.929%
Updating the Kidney Failure Risk Equation to account for South Asian ethnicity and the competing risk of death improves prediction accuracy and reduces unnecessary secondary care referrals.
This is the authors' abstract. We don't add key points for this paper.
Background: The Kidney Failure Risk Equation (KFRE) predicts the 2- and 5-year risk of needing kidney replacement therapy (KRT) using four risk factors – age, sex, urine albumin-to-creatinine ratio (ACR), and creatinine-based estimated glomerular filtration rate (eGFR). Although the KFRE has been recalibrated in a UK cohort, this did not consider minority ethnic groups. Further validation of the KFRE in different ethnicities is a research priority. The KFRE also does not consider the competing risk of death, which may lead to overestimation of KRT risk. This study externally validates the KFRE for patients of South Asian ethnicity and compares methods for accounting for ethnicity and the competing event of death. Methods: Data were gathered from an established UK cohort containing 35,539 individuals diagnosed with chronic kidney disease. The KFRE was externally validated and updated in several ways taking into account ethnicity, using recognised methods for time-to-event data, including the competing risk of death. A clinical impact assessment compared the updated models through consideration of referrals made to secondary care. Results: The external validation showed the risk of KRT differed by ethnicity. Model validation performance improved when incorporating ethnicity and its interactions with ACR and eGFR as additional risk factors. Further, accounting for the competing risk of death improved prediction. Using a criteria of 5 year ≥5% predicted KRT risk, the competing risks model resulted in an extra 3 unnecessary referrals (0.59% increase) but identified an extra 1 KRT case (1.92% decrease) compared to the previous best model. A hybrid criteria of predicted risk using the competing risks model and ACR ≥70mg/mmol should be used in referrals to secondary care. Conclusions: The accuracy of KFRE prediction improves when updated to consider South Asian ethnicity and to account for the competing risk of death. This may reduce unnecessary referrals whilst identifying risks of KRT and could further individualise the KFRE and improve its clinical utility. Further research should consider other ethnicities.
May support updated KFRE for South Asian CKD; leaves open need for prospective validation before practice change.
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Maher et al. (2023) conducted an observational in Chronic Kidney Disease (n=29,745). Kidney Failure Risk Equation (KFRE) updated for ethnicity and competing risks vs. Original KFRE / Previous NICE guidelines was evaluated on 5-year risk of needing kidney replacement therapy (C-index for competing risks Model 6) (C-index 0.932, 95% CI 0.915-0.946). Updating the Kidney Failure Risk Equation to account for South Asian ethnicity and the competing risk of death yielded excellent discrimination (C-index 0.932) and reduced unnecessary referrals by 30.8%.
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