scholarly journals Clinical Implications of the New Equation to Estimate Glomerular Filtration Rate

Nephron ◽  
2021 ◽  
pp. 1-5
Author(s):  
Davide Giavarina ◽  
Faeq Husain-Syed ◽  
Claudio Ronco
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Significant Proportion ◽  
Disease Epidemiology ◽  
Estimation Equations ◽  
Estimate Glomerular Filtration Rate ◽  
Gfr Estimation ◽  
New Equation ◽  
The Impact

Recently, a new full-age spectrum equation was proposed by the European Kidney Function Consortium (EKFC) to overcome the difficulty of using multiple glomerular filtration rate (GFR) estimation equations and problems of implausible changes in GFR during the transition from adolescence to adulthood and address GFR overestimation in young adults and in the older adults. To verify the impact on patient classifications, we applied the new equation to data of 38,188 adult patients, comparing GFR estimation using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and EKFC equations. As expected, our data indicate that a significant proportion of patients will be reclassified downward by the EKFC compared to the CKD-EPI equation with a particular reference between CKD stages 1–2 and 2–3 and age categories of 18–30 and ≥61 years, respectively. Clinicians should be aware that any replacement for the EKFC equation will entail a period of different results in estimated GFR during the transition from the previous to the new equation.

Comparing glomerular filtration rate equations and the impact of different creatinine assays on the assessment of renal function in cancer patients

2019 ◽  
Vol 56 (2) ◽  
pp. 266-274 ◽  
Author(s):  
Ashley E Garner ◽  
Mark C Barnfield ◽  
Michael L Waller ◽  
Geoff D Hall ◽  
Mike P Bosomworth
Keyword(s):  
Renal Function ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Cancer Patients ◽  
Filtration Rate ◽  
Rate Equations ◽  
Disease Epidemiology ◽  
Estimate Glomerular Filtration Rate ◽  
The Impact ◽  
Better Than

Background Equations to estimate glomerular filtration rate based on serum creatinine are commonly used in cancer patients to assess renal function. However, there is uncertainty regarding which equation is most appropriate for this population and the impact of different creatinine assays. Methods Measured isotopic glomerular filtration rate results from 120 oncology patients were used to evaluate and compare all four versions of the Wright equation, Cockcroft and Gault, Modification of Diet in Renal Disease (MDRD), Chronic Kidney Disease Epidemiology Collaboration and the Janowitz and Williams formula; using eight different creatinine assays (five Jaffe, three enzymatic). Results The enzymatic version of the Wright equation without creatine kinase performed better than the other versions for all eight creatinine assays. However, MDRD and Janowitz and Williams gave the best overall performance in this patient population. Performance was highly dependent on the creatinine assay used, for example, the percentage of results within 30% of the isotopic glomerular filtration rate (P30) ranged from 90.8% to 60.8% for MDRD. Conclusion The performance of any equation to estimate glomerular filtration rate is highly dependent on the creatinine assay used. Oncology units should assess the performance of glomerular filtration rate equations using their laboratory creatinine assay to determine whether they can be used safely and effectively in cancer patients.

scholarly journals Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study

2020 ◽  
Vol 13 (4) ◽  
pp. 674-683 ◽  
Author(s):  
Jonas Björk ◽  
Ulf Nyman ◽  
Marie Courbebaisse ◽  
Lionel Couzi ◽  
R Neil Dalton ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Glomerular Filtration Rate ◽  
Kidney Disease ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Patient Characteristics ◽  
Cross Sectional ◽  
Disease Epidemiology ◽  
Gfr Estimation ◽  
Glomerular Filtration Rate Estimation

Abstract Background The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation is routinely used to assess renal function but exhibits varying accuracy depending on patient characteristics and clinical presentation. The overall aim of the present study was to assess if and to what extent glomerular filtration rate (GFR) estimation based on creatinine can be improved. Methods In a cross-sectional analysis covering the years 2003–17, CKD-EPI was validated against measured GFR (mGFR; using various tracer methods) in patients with high likelihood of chronic kidney disease (CKD; five CKD cohorts, n = 8365) and in patients with low likelihood of CKD (six community cohorts, n = 6759). Comparisons were made with the Lund–Malmö revised equation (LMR) and the Full Age Spectrum equation. Results 7In patients aged 18–39 years old, CKD-EPI overestimated GFR with 5.0–16 mL/min/1.73 m2 in median in both cohort types at mGFR levels <120 mL/min/1.73 m2. LMR had greater accuracy than CKD-EPI in the CKD cohorts (P30, the percentage of estimated GFR within 30% of mGFR, 83.5% versus 76.6%). CKD-EPI was generally the most accurate equation in the community cohorts, but all three equations reached P30 above the Kidney Disease Outcomes Quality Initiative benchmark of 90%. Conclusions None of the evaluated equations made optimal use of available data. Prospects for improved GFR estimation procedures based on creatinine exist, particularly in young adults and in settings where patients with suspected or manifest CKD are investigated.

scholarly journals Performance of CKD-EPI equation to estimate glomerular filtration rate as compared to MDRD equation in South Brazilian individuals in each stage of renal function

2014 ◽  
Vol 52 (12) ◽  
Author(s):  
Francisco Veríssimo Veronese ◽  
Eduardo C. Gomes ◽  
Joana Chanan ◽  
Maicon A. Carraro ◽  
Eduardo G. Camargo ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Glomerular Filtration Rate ◽  
Kidney Disease ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Disease Epidemiology ◽  
Mdrd Equation ◽  
Estimate Glomerular Filtration Rate

AbstractThe Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation seems to correct the overdiagnosis of chronic kidney disease (CKD) provided by Modification of Diet in Renal Disease (MDRD) equation. However, this point has not been tested in some ethnic groups. This study investigated the performance of MDRD and CKD-EPI equations in South Brazilian individuals.This cross-sectional study included 354 individuals including healthy volunteers, diabetic and non-diabetic individuals with or without CKD. Glomerular filtration rate (GFR) was measured by theIn the group as a whole,CKD-EPI reduces GFR underestimation in individuals with GFRs >60, but still presents a quite low accuracy at this GFR range. Moreover, it tends to overestimate GFR in subjects with GFRs <60 mL/min/1.73 m

scholarly journals A New Equation to Estimate Glomerular Filtration Rate

2009 ◽  
Vol 150 (9) ◽  
pp. 604 ◽  
Author(s):  
Andrew S. Levey ◽  
Lesley A. Stevens ◽  
Christopher H. Schmid ◽  
Yaping (Lucy) Zhang ◽  
Alejandro F. Castro ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Estimate Glomerular Filtration Rate ◽  
New Equation
Sign in / Sign up

Export Citation Format

Share Document