Multicentre external validation of the prognostic model kidney failure risk equation in patients with CKD stages 3 and 4 in Peru: a retrospective cohort study

Abstract

ObjectivesTo externally validate the four-variable kidney failure risk equation (KFRE) in the Peruvian population for predicting kidney failure at 2 and 5 years.DesignA retrospective cohort study.Setting17 primary care centres from the Health’s Social Security of Peru.ParticipantsPatients older than 18 years, diagnosed with chronic kidney disease stage 3a–3b–4 and 3b–4, between January 2013 and December 2017. Patients were followed until they developed kidney failure, died, were lost, or ended the study (31 December 2019), whichever came first.Primary and secondary outcome measuresPerformance of the KFRE model was assessed based on discrimination and calibration measures considering the competing risk of death.ResultsWe included 7519 patients in stages 3a–4 and 2798 patients in stages 3b–4. The estimated cumulative incidence of kidney failure, accounting for competing event of death, at 2 years and 5 years, was 1.52% and 3.37% in stages 3a–4 and 3.15% and 6.86% in stages 3b–4. KFRE discrimination at 2 and 5 years was high, with time-dependent area under the curve and C-index >0.8 for all populations. Regarding calibration in-the-large, the observed to expected ratio and the calibration intercept indicated that KFRE underestimates the overall risk at 2 years and overestimates it at 5 years in all populations.ConclusionsThe four-variable KFRE models have good discrimination but poor calibration in the Peruvian population. The model underestimates the risk of kidney failure in the short term and overestimates it in the long term. Further research should focus on updating or recalibrating the KFRE model to better predict kidney failure in the Peruvian context before recommending its use in clinical practice.