Kinetic estimated glomerular filtration rate (KEGFR) as predictor of dialytic acute kidney injury: a systematic review

Cristiano Araújo Costa; João Paulo Pereira Cunha; Samuel Teixeira Rios; José Ronaldo Vasconcelos da Graça; Cláudia Maria Costa de Oliveira

doi:10.36517/rmufc.v66e92298.2026

Autores

Cristiano Araújo Costa Universidade Federal do Ceará (UFC), Sobral, Ceará, Brasil; Hospital Universitário Walter Cantídio (HUWC), Fortaleza, Ceará, Brasil. https://orcid.org/0009-0000-9814-8553
João Paulo Pereira Cunha Universidade Federal do Ceará (UFC), Sobral, Ceará, Brasil.
Samuel Teixeira Rios Universidade Federal do Ceará (UFC), Sobral, Ceará, Brasil.
José Ronaldo Vasconcelos da Graça Universidade Federal do Ceará (UFC), Sobral, Ceará, Brasil. https://orcid.org/0000-0002-2729-1800
Cláudia Maria Costa de Oliveira Universidade Christus, Fortaleza, Ceará, Brasil. https://orcid.org/0000-0002-2795-6681

DOI:

https://doi.org/10.36517/rmufc.v66e92298.2026

Palavras-chave:

Acute kidney injury, Patient Acuity, Mortality

Resumo

Objective: To analyze the use of the kinetic estimated glomerular filtration rate (KeGFR) model as an early predictor of dialysis acute kidney injury (AKI). Methods: This is a literature review, where authors analyzed the use of the KeGFR model to predict dialysis AKI earlier. Results: Patients with reduced KeGFR were more likely to have more comorbidities and were more severe patients. The lower the KeGFR, the greater the risk of death. This was also observed in the need for Renal Replacement Therapy, ICU admission and hospital admission. The agreement between the severity of AKI and the worst KeGFR achieved is controversial in the literature evaluated. Conclusion: We suggest that the AKI classification systems and the KeGFR model be used together for decision making and to obtain additional information, such as severity and prognosis.