Removal of body surface area normalisation improves raw-measured glomerular filtration rate estimation by the Chronic Kidney Disease Epidemiology Collaboration equation and drug dosing in the obese

2015 ◽  
Vol 45 (7) ◽  
pp. 766-773 ◽  
Author(s):  
J. S. C. Chew-Harris ◽  
P. K. L. Chin ◽  
C. M. Florkowski ◽  
P. George ◽  
Z. Endre
Keyword(s):  
Chronic Kidney Disease ◽  
Glomerular Filtration Rate ◽  
Kidney Disease ◽  
Glomerular Filtration ◽  
Body Surface ◽  
Filtration Rate ◽  
Drug Dosing ◽  
Disease Epidemiology ◽  
Measured Glomerular Filtration Rate ◽  
Glomerular Filtration Rate Estimation

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.

Perspective on New Equations for Estimating Glomerular Filtration Rate

2021 ◽  
Author(s):  
W Greg Miller
Keyword(s):  
Chronic Kidney Disease ◽  
Glomerular Filtration Rate ◽  
Kidney Disease ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Estimated Glomerular Filtration Rate ◽  
Disease Epidemiology ◽  
Measured Glomerular Filtration Rate ◽  
Available Information ◽  
Blood Creatinine

  The Kidney Disease Improving Global Outcomes 2012 Clinical Practice Guideline on Chronic Kidney Disease (1) recommends calculating estimated glomerular filtration rate (eGFR) using equations developed by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) for adults ≥18 years (2) and by the Chronic Kidney Disease in Children (CKiD) for ages <18 years (3). These equations were recommended because they used readily available information, serum/plasma/blood creatinine, plus age, sex, and race for adults, and height for children; and have been validated in large and diverse cohorts of people who had measured glomerular filtration rate (mGFR) as a basis for establishing accuracy.

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