Literature DB >> 17725450

[The Cockcroft-Gault equation is better than MDRD equation to estimate the glomerular filtration rate in patients with advanced chronic renal failure].

J L Teruel1, J Sabater, C Galeano, M Rivera, J L Merino, M Fernández Lucas, R Marcén, J Ortuño.   

Abstract

ABSTRACT The aim of this study was to compare the accuracy of three kidney function estimating equations: classic Cockcroft-Gault (classic CG), corrected Cockcroft-Gault (corrected CG) and simplified Modification of Diet in Renal Disease (MDRD), in patients with advanced chronic renal failure. The study was made in 84 nondialyzed patients with chronic renal disease in stage 4 or 5. The glomerular filtration rate was measured on a 24-hour urine collection as the arithmetic mean of the urea and creatinine clearances (CUrCr). In each patient, the difference between each estimating equation and the measured glomerular filtration rate was calculated. The absolute difference expressed as a percentage of the measured glomerular filtration rate indicates the intermethod variability. In the total group the glomerular filtration rate measured as the CUrCr was de 13,5+/-5,1 ml/min/1.73 m(2); and the results of the estimating equations were: classic CG 14,2+/-5 (p<0,05); corrected CG 12+/-4,2 (p<0,01) and MDRD : 12,1+/-4,8 ml/min/1.73 m(2) (p<0,01). The variability of the estimating equations was 15,2+/-12,2%, 17,1+/-13,4 % and 19,3+/-13,3% (p<0,05), for classic CG, corrected CG and MDRD respectively. The percent of estimates falling within 30% above o below the measured glomerular filtration rate was 90% for CG classic, 87% for corrected CG and 79% for MDRD. The intraclass correlation coefficients respect to CUrCr were 0,86 for classic CG, 0,81 for corrected CG and 0,77 for MDRD. The MDRD variability, but not classic CG variability or corrected CG variability, showed a positive correlation with the glomerular filtration rate (r=0,25, p<0,05). In patients with chronic renal disease in stage 5, the variability of the different estimating equations was similar. We conclude that in our population with advanced chronic renal failure the classic CG equation is more accurate than the MDRD equation. Corrected CG equation has not any advantage respect to classic CG equation.

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Year:  2007        PMID: 17725450

Source DB:  PubMed          Journal:  Nefrologia        ISSN: 0211-6995            Impact factor:   2.033


  5 in total

Review 1.  Diabetes mellitus as a risk factor for incident chronic kidney disease and end-stage renal disease in women compared with men: a systematic review and meta-analysis.

Authors:  Yanjue Shen; Rongrong Cai; Jie Sun; Xue Dong; Rong Huang; Sai Tian; Shaohua Wang
Journal:  Endocrine       Date:  2016-08-01       Impact factor: 3.633

2.  Leukocyte counts, myeloperoxidase, and pregnancy-associated plasma protein a as biomarkers for cardiovascular disease: towards a multi-biomarker approach.

Authors:  M B I Lobbes; M E Kooi; E Lutgens; A W Ruiters; V Lima Passos; S H J G Braat; M Rousch; H Ten Cate; J M A van Engelshoven; M J A P Daemen; S Heeneman
Journal:  Int J Vasc Med       Date:  2010-05-30

3.  Sex-related associations among anemia, body mass index, and kidney function in Koreans: A cross-sectional study with propensity analysis.

Authors:  Tae-Gyu Kim; Sook-Hyun Lee; Sangah Shin; Jae-Heung Cho; Koh-Woon Kim; In-Hyuk Ha
Journal:  Medicine (Baltimore)       Date:  2021-01-29       Impact factor: 1.817

4.  Circulating adiponectin is associated with renal function independent of age and serum lipids in west africans.

Authors:  A P Doumatey; J Zhou; H Huang; J Adeleye; W Balogun; O Fasanmade; T Johnson; J Oli; G Okafor; A Amoah; B Eghan; K Agyenim-Boateng; J Acheampong; C Adebamowo; A Adeyemo; C N Rotimi
Journal:  Int J Nephrol       Date:  2012-08-22

5.  Prevalence and pattern of neurocognitive impairment in nigerians with stages 3 to 5 chronic kidney disease.

Authors:  U E Williams; M O Owolabi; A Ogunniyi; E O Ezunu
Journal:  ISRN Neurol       Date:  2013-06-20
  5 in total

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