AI Article Synopsis

  • The study aimed to evaluate the accuracy of different equations used to estimate glomerular filtration rate (GFR) in patients with chronic kidney disease.
  • The Fengscr-cys equation demonstrated significantly higher accuracy for GFR estimation and classification of kidney disease stages compared to other formulas, particularly in both genders and older patients.
  • The findings indicate that equations utilizing serum cystatin C are more effective than those based solely on serum creatinine, with the Fengscr-cys equation being the top performer among the evaluated methods in the general Chinese population.

Article Abstract

Background: To compare the accuracy of various equations for estimating glomerular filtration rate.

Methods: Chronic kidney disease was classified by Tc-DTPA scintigraphy (reference glomerular filtration rate), estimating glomerular filtration rate was estimated using various formulas. The similarity to reference glomerular filtration rate decide the accuracy of estimating glomerular filtration rate.

Results: Overall, the Fengscr-cys equation had significantly higher accuracy and correct proportion in chronic kidney disease stage classification than other equations. The subgroup analysis showed that Fengscr-cys equation was slightly more precise than other equations both in the male and female patients. Moreover, in patients older than 60 years or whose reference glomerular filtration rate was above 60 ml/min, Fengscr-cys equation also showed better accuracy.

Conclusion: Our data suggest that estimating glomerular filtration rate equations evaluated by serum cystatin C were better than serum creatinine-based equations, estimating glomerular filtration rate equations evaluated by both serum creatinine and cystatin C were better than those evaluated by serum creatinine or cystatin C alone. Among all enrolled equations, Fengscr-cys equation might be the best one to evaluate glomerular filtration rate in general Chinese paticipants.

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Source
http://dx.doi.org/10.1097/MNM.0000000000001141DOI Listing

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