title: Automated reporting of eGFR: a useful tool for identifying and managing kidney disease.
abstract: Estimated glomerular filtration rate (eGFR) using the Modification of Diet in Renal Disease formula has been shown to provide unbiased and acceptably accurate estimates of measured GFR across a broad range of individuals with impaired kidney function. eGFR is superior to measuring serum creatinine (SCr) concentration alone, more accurate than other prediction formulas (such as Cockcroft-Gault) in the setting of reduced kidney function, and more practical and reliable under most circumstances than measuring urinary creatinine clearance. Routine eGFR reporting with requests for SCr, in concert with clinician education, has been shown to enhance the detection of chronic kidney disease (CKD), resulting in improved cardiac and renal outcomes for patients. eGFR has been shown to effectively identify individuals at increased risk of adverse drug reactions (even when SCr concentration is in the normal range). For most drugs prescribed in primary care and for most patients of average age and body size, drug dosage adjustments based on eGFR should be similar to those based on Cockcroft-Gault. eGFR should not replace Cockcroft-Gault for determining dosage adjustments for critical-dose drugs that have a narrow therapeutic index. eGFR has resulted in important spin-off benefits, such as standardisation of laboratory creatinine assays and enhanced public and clinician awareness of CKD. Clinicians should be aware of the strengths, weaknesses and appropriate use of eGFR. Considerable research effort is being directed towards further refinement of eGFR.
authors.affiliation: Princess Alexandra Hospital, Brisbane, QLD, Australia.
authors.forename: David W
authors.initials: DW
authors.lastname: Johnson
authors.forename: Graham R D
authors.initials: GR
authors.lastname: Jones
authors.forename: Gavin J
authors.initials: GJ
authors.lastname: Becker
authors.forename: Timothy H
authors.initials: TH
authors.lastname: Mathew
mesh_terms: D000465:Algorithms; D003404:Creatinine / Q000378:metabolism / Q000652:urine; D018450:Disease Progression; D005919:Glomerular Filtration Rate; D006801:Humans; D007676:Kidney Failure, Chronic / Q000175:diagnosis* / Q000503:physiopathology / Q000652:urine; D008403:Mass Screening / Q000379:methods*
chemical_list: D003404:Creatinine