Details

Autor(en) / Beteiligte

• Gallego-Valcarce, Eduardo
• Shabaka, Amir
• Tato-Ribera, Ana María
• Landaluce-Triska, Eugenia
• León-Poo, Mariana
• Roldan, Deborah
• Gruss, Enrique

Titel

External validation of the KFRE and Grams prediction models for kidney failure and death in a Spanish cohort of patients with advanced chronic kidney disease

Ist Teil von

• Journal of nephrology, 2024-03, Vol.37 (2), p.429-437

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2024

Quelle

MEDLINE

Beschreibungen/Notizen

• Background The Kidney Failure Risk Equation (KFRE) is a 2- and 5-year kidney failure prediction model that is applied in chronic kidney disease (CKD) G3 + . The Grams model predicts kidney failure and death at 2 and 4 years in CKD G4 + . There are limited external validations of the Grams model, especially for predicting mortality before kidney failure. Methods We performed an external validation of the Grams and Kidney Failure Risk Equation prediction models in incident patients with CKD G4 + at Hospital Universitario Fundación Alcorcón, Spain, between 1/1/2014 and 31/12/2018, ending follow-up on 30/09/2023. Discrimination was performed calculating the area under the receiver-operating characteristic curve. Calibration was assessed using the Hosmer–Lemeshow test and the Brier score. Results The study included 339 patients (mean age 72.2 ± 12.7 years and baseline estimated glomerular filtration rate 20.6 ± 5.0 ml/min). Both models showed excellent discrimination. The area under the curve (AUC) for Kidney Failure Risk Equation-2 and Grams-2 were 0.894 (95% CI 0.857–0.931) and 0.897 (95%CI 0.859–0.935), respectively. For Grams-4 the AUC was 0.841 (95%CI 0.798–0.883), and for Kidney Failure Risk Equation-5 it was 0.823 (95% CI 0.779–0.867). For death before kidney failure, the Grams model showed acceptable discrimination (AUC 0.708 (95% CI 0.626–0.790) and 0.744 (95% CI 0.683–0.804) for Grams-2 and Grams-4, respectively). Both models presented excellent calibration for predicting kidney failure. Grams model calibration to estimate mortality before kidney failure was also excellent. In all cases, Hosmer–Lemeshow test resulted in a p -value greater than 0.05, and the Brier score was less than 0.20. Conclusions In a cohort of patients with CKD G4 + from southern Europe, both the Grams and Kidney Failure Risk Equation models are accurate in estimating the risk of kidney failure. Additionally, the Grams model provides a reliable estimate of the risk of mortality before kidney failure. Graphical abstract