Population-based estimated Glomerular Filtration Rate distributions and associated health outcomes provide opportunities for early identification of and primary prevention of chronic kidney disease

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Authors: Yuanhang Yang, Antoine Créon, Andrew S. Levey, Anne‐Laure Faucon, Aurora Caldinelli, Marie Evans, A. Sjölander, Alberto Ortiz, Edouard L Fu, Juan Jesús Carrero
Cited by: 2
References: 45

Abstract

INTRODUCTION: There are currently no established strategies for early identification and primary prevention of chronic kidney disease (CKD). Automatic reporting of estimated glomerular filtration rate (eGFR) allows opportunistic CKD screening. Here, we hypothesized that comparison with population-based eGFR distributions may further help identify individuals at elevated risk. METHODS: A population-based observational cohort study including adults aged 40 to 100 years with routine serum/plasma creatinine tests (Stockholm CREAtinine Measurements project) between 2006 and 2021 was conducted. The cohort captured 1,179,501 unique individuals (80% of the population in the region) with 6,914,993 repeated annual eGFR measurements. After computing eGFR distributions by age and sex, cause-specific Cox regressions evaluated the associations between eGFR percentiles and risks of kidney failure with replacement therapy (KFRT) and death. RESULTS: or more who were below the 25th percentile, only 24% underwent albuminuria/proteinuria testing in the adjacent year and could have benefited from additional diagnostic work-up. CONCLUSIONS: Our study shows that eGFR values below the 25th percentile of the population distribution are associated with increased risks of kidney failure and death. Population-based eGFR charts may complement current automatic reporting systems and provide opportunities for early identification and primary prevention of CKD.

Fields of Study & Subjects

Chronic Kidney Disease and Diabetes Dialysis and Renal Disease Management Acute Kidney Injury Research

Publication details

Journal / source
Kidney International
Publisher
Elsevier BV
Volume
109
Issue
3
Pages
559–568
Publication date
21 January 2026
Language
EN