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Comparative Prognostic Assessment of European Kidney Function Consortium Equations for Mortality Prediction: A
Sitong Chen1, Jinjing Shi1,2, Iokfai Cheang1
1State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Introduction:
The European Kidney Function Consortium (EKFC) has introduced equations for estimated glomerular filtration rate (eGFR) using serum creatinine (Cr) and cystatin C (Cys). While their diagnostic accuracy is established, their comparative prognostic value for long-term mortality in the general population is not well defined. This study compared the prognostic performance of three EKFC equations - creatinine-based (EKFC-eGFRcr), Cys-based (EKFC-eGFRcys), and the combined (EKFC-eGFRcrcys) model - for predicting all-cause and cardiovascular (CV) mortality.
Methods:
We analyzed a population-based cohort of 4,519 participants from the National Health and Nutrition Examination Survey (NHANES) 1999-2002. eGFR was calculated using all three EKFC variations (EKFC-eGFRcr, EKFC-eGFRcys, and EKFC-eGFRcrcys). The primary and secondary endpoints were all-cause and CV mortality, respectively, through December 31, 2019. Predictive improvements were evaluated using integrated discrimination improvement (IDI), net reclassification improvement (NRI), and number needed to measure (NNM).
Results:
The eGFR value calculated by the EKFC-eGFRcys, EKFC-eGFRcr, and EKFC-eGFRcrcys was 78.92 ± 22.98, 84.45 ± 23.21, and 81.68 ± 22.13 mL/min/1.73 m2, respectively. Over a median follow-up of 211 months, all three eGFR models were independent predictors of mortality (all p < 0.001). Restricted cubic spline regression revealed significant non-linear, inverse associations between all eGFR measures and adjusted mortality risks (all p for non-linearity < 0.001). Compared to EKFC-eGFRcr, EKFC-eGFRcys significantly improved risk reclassification for all-cause mortality (categorical NRI = 15.9%; 95% CI: 14.1-17.8%; NNM = 7). The combined EKFC-eGFRcrcys also outperformed the Cr-only model (NRI = 8.9%; NNM = 12). However, EKFC-eGFRcys demonstrated modestly better performance than the combined equation (NRI = 7.0%; NNM = 15), suggesting limited incremental value in adding Cr to Cys. The superiority of EKFC-eGFRcys was primarily driven by improved classification of non-events.
Conclusion:
The EKFC-eGFRcys equation provides superior prognostic value for all-cause and CV mortality compared to both Cr-based and combined EKFC equations. Notably, the combined model offered no prognostic advantage over Cys alone. These findings highlight the clinical importance of Cys-based eGFR for accurate risk stratification in the general population.
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