Literature DB >> 3838415

Creatinine clearance estimation from serum creatinine values: an analysis of three mathematical models of glomerular function.

G F Gates.   

Abstract

The logarithmic relationship of serum creatinine and creatinine clearance was analyzed in 100 adult patient studies using a geometric regression technique. Each sex was independently analyzed, and the subsequently derived regression formulae were age corrected resulting in mathematical models useful in estimating creatinine clearance from serum creatinine concentrations. These formulae were tested prospectively in another group of 100 patient studies in which creatinine clearance had been determined, and the results compared to values derived by use of two other published formulae. This newer method resulted in a closer distribution of data around a line of identity compared to other formulae and allowed for a good "bedside" estimation of creatinine clearance from serum creatinine concentration.

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Year:  1985        PMID: 3838415     DOI: 10.1016/s0272-6386(85)80051-2

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  14 in total

1.  Estimation of creatinine clearance from serum creatinine: utility of the Cockroft and Gault equation in Nigerian patients.

Authors:  A A Ajayi
Journal:  Eur J Clin Pharmacol       Date:  1991       Impact factor: 2.953

Review 2.  Accurate measurement of individual glomerular filtration rate in cancer patients: an ongoing challenge.

Authors:  Karin Holweger; Carsten Bokemeyer; Hans-Peter Lipp
Journal:  J Cancer Res Clin Oncol       Date:  2005-10-20       Impact factor: 4.553

3.  Performance of the Cockcroft-Gault and MDRD equations in adult Nigerians with chronic kidney disease.

Authors:  Emmanuel I Agaba; Chinyere M Wigwe; Patricia A Agaba; Antonios H Tzamaloukas
Journal:  Int Urol Nephrol       Date:  2009-01-10       Impact factor: 2.370

4.  Prediction of creatinine clearance from plasma creatinine: comparison of five formulae.

Authors:  M Robertshaw; K N Lai; R Swaminathan
Journal:  Br J Clin Pharmacol       Date:  1989-09       Impact factor: 4.335

5.  Simple assessment of patient's stage of chronic kidney disease using eGFR-MDRD nomograms.

Authors:  Sunny Eloot; Bruno Van Vlem; Johan De Meester
Journal:  Int Urol Nephrol       Date:  2010-10-21       Impact factor: 2.370

6.  Artificial neural network for the prediction model of glomerular filtration rate to estimate the normal or abnormal stages of kidney using gamma camera.

Authors:  Alamgir Hossain; Shariful Islam Chowdhury; Shupti Sarker; Mostofa Shamim Ahsan
Journal:  Ann Nucl Med       Date:  2021-09-07       Impact factor: 2.668

7.  Prevalence of CKD in the United States: a sensitivity analysis using the National Health and Nutrition Examination Survey (NHANES) 1999-2004.

Authors:  Jon J Snyder; Robert N Foley; Allan J Collins
Journal:  Am J Kidney Dis       Date:  2008-10-31       Impact factor: 8.860

8.  Influence of muscle mass and physical activity on serum and urinary creatinine and serum cystatin C.

Authors:  Alessandra Calábria Baxmann; Marion Souza Ahmed; Natália Cristina Marques; Viviane Barcellos Menon; Aparecido Bernardo Pereira; Gianna Mastroianni Kirsztajn; Ita Pfeferman Heilberg
Journal:  Clin J Am Soc Nephrol       Date:  2008-01-30       Impact factor: 8.237

9.  Clinical usefulness of serum cystatin C as a marker of renal function.

Authors:  Kwang-Sook Woo; Jae-Lim Choi; Bo-Ram Kim; Ji-Eun Kim; Jin-Yeong Han
Journal:  Diabetes Metab J       Date:  2014-08-20       Impact factor: 5.376

10.  Performance of creatinine-based GFR estimating equations in solid-organ transplant recipients.

Authors:  Kamran Shaffi; Katrin Uhlig; Ronald D Perrone; Robin Ruthazer; Andrew Rule; John C Lieske; Gerjan Navis; Emilio D Poggio; Lesley A Inker; Andrew S Levey
Journal:  Am J Kidney Dis       Date:  2014-04-02       Impact factor: 8.860

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