ArticleNephrology (Carlton, Vic.)2023
The kidney failure risk equation predicts kidney failure: Validation in an Australian cohort.
Article in Nephrology (Carlton, Vic.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Representation of multimorbidity and frailty in the development and validation of kidney failure prognostic prediction models: a systematic review.BMC medicine · 2024Pooled it
- External validation, recalibration, and clinical utility of the kidney failure risk equation in patients with advanced CKD: a nationwide retrospective cohort analysis in Peru.BMC nephrology · 2025Article
- Risk Stratification for CKD Progression in Primary Care.Kidney international reports · 2025Article
- Adding biomarker change information to the kidney failure risk equation improves predictive ability for dialysis dependency in eGFR <30 ml/min/1.73 mClinical kidney journal · 2024Article
- Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus.Diabetes & metabolism journal · 2024Review
- Dynamic survival prediction of end-stage kidney disease using random survival forests for competing risk analysis.Frontiers in medicine · 2024Article
- Real world evaluation of kidney failure risk equations in predicting progression from chronic kidney disease to kidney failure in an Australian cohort.Journal of nephrology · 2024Article
- Clinical Decision Support Tools in the Electronic Medical Record.Kidney international reports · 2024Review
- Recalibrating the kidney failure risk equation for a Mediterranean European population: reducing age and sex inequality.Frontiers in medicine · 2024Article
- The kidney failure risk equation predicts kidney failure: Validation in an Australian cohort.Nephrology (Carlton, Vic.) · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
aimsPredicting progression to kidney failure for patients with chronic kidney disease is essential for patient and clinicians' management decisions, patient prognosis, and service planning. The Tangri et al Kidney Failure Risk Equation (KFRE) was developed to predict the outcome of kidney failure. The KFRE has not been independently validated in an Australian Cohort.
methodsUsing data linkage of the Tasmanian Chronic Kidney Disease study (CKD.TASlink) and the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA), we externally validated the KFRE. We validated the 4, 6, and 8-variable KFRE at both 2 and 5 years. We assessed model fit (goodness of fit), discrimination (Harell's C statistic), and calibration (observed vs predicted survival).
resultsThere were 18 170 in the cohort with 12 861 participants with 2 years and 8182 with 5 years outcomes. Of these 2607 people died and 285 progressed to kidney replacement therapy. The KFRE has excellent discrimination with C statistics of 0.96-0.98 at 2 years and 0.95-0.96 at 5 years. The calibration was adequate with well-performing Brier scores (0.004-0.01 at 2 years, 0.01-0.03 at 5 years) however the calibration curves, whilst adequate, indicate that predicted outcomes are systematically worse than observed.
conclusionThis external validation study demonstrates the KFRE performs well in an Australian population and can be used by clinicians and service planners for individualised risk prediction.
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