New Model to Predict Progression to End-Stage Renal Disease

This model uses six variables and does not require estimated glomerular filtration rate.

To predict progression of chronic kidney disease, researchers recently examined the performance of a Kidney Failure Risk Equation that uses four variables — age, sex, urinary albumin–creatinine ratio, and a formula for estimated glomerular filtration rate (eGFR) that does not incorporate race — to predict progression of chronic kidney disease (NEJM JW Gen Med Mar 1 2022 and Ann Intern Med 2022 Jan 11; [e-pub]). Now, using data from an observational study of 5000 patients with chronic kidney disease, German researchers have derived a predictive model that includes a different set of variables.

Twenty-two potential predictors of progression to dialysis or transplantation during a 4-year period were examined, and multivariable analysis yielded …

Reviewing Author

Allan S. Brett, MD

Disclosures

Nothing to disclose

Allan S. Brett, MD

Disclosures

Nothing to disclose

New Model to Predict Progression to End-Stage Renal Disease

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Reviewing Author