Literature DB >> 20596264

Comparison of estimated creatinine clearance among five formulae (Cockroft-Gault, Jelliffe, Sanaka, simplified 4-variable MDRD and DAF) and the 24hours-urine-collection creatinine clearance.

A Diamandopoulos1, P Goudas, A Arvanitis.   

Abstract

BACKGROUND: GFR estimation is of major importance in everyday clinical practice. Usually it is done using one of the many eGFR equations available. In this study we compared in our population four widespread eGFR equations and our own empirical eGFR, with creatinine clearance calculated through a timed urine collection. PATIENTS AND METHODS: We collected laboratory data of 907 patients from our clinic and outpatient department through a ten-year period and statistically compared the eGFR results between them and with the timed urine collection creatinine clearances.
RESULTS: All eGFR equations gave acceptable approximations to the timed urine collection creatinine clearances. However, in different subpopulations some equations did better than others, without any clear advantage of any equation overall. Surprisingly, our empirical equation named DAF also gave acceptable approximations regardless of age, weight and sex of the patient.
CONCLUSIONS: In our population our empirical eGFR method (DAF) gave satisfactory results regarding the monitoring of renal function, compared with four other eGFR methods. We suggest that it could provide a very fast and easy to use means of eGFR calculation.

Entities:  

Keywords:  clearance; creatinine; eGFR; renal failure

Year:  2010        PMID: 20596264      PMCID: PMC2894653     

Source DB:  PubMed          Journal:  Hippokratia        ISSN: 1108-4189            Impact factor:   0.471


  24 in total

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Journal:  Clin Exp Nephrol       Date:  2007-03-28       Impact factor: 2.801

2.  Simple sampling strategy for measuring inulin renal clearance.

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3.  Cystatin C is a more sensitive marker than creatinine for the estimation of GFR in type 2 diabetic patients.

Authors:  Michele Mussap; Michele Dalla Vestra; Paola Fioretto; Alois Saller; Mariacristina Varagnolo; Romano Nosadini; Mario Plebani
Journal:  Kidney Int       Date:  2002-04       Impact factor: 10.612

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
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5.  Monitoring renal function: a prospective study comparing camera-based technetium-99m mercaptoacetyltriglycine clearance and creatinine clearance.

Authors:  Raghuveer Halkar; Andrew Taylor; Amita Manatunga; Muta M Issa; Samuel E Myrick; Sandra Grant; Neeta V Shenvi
Journal:  Urology       Date:  2007-03       Impact factor: 2.649

Review 6.  Renal function--estimation of glomerular filtration rate.

Authors:  Lothar Thomas; Andreas R Huber
Journal:  Clin Chem Lab Med       Date:  2006       Impact factor: 3.694

7.  Estimation of glomerular filtration rate in older patients with chronic renal insufficiency: is the modification of diet in renal disease formula an improvement?

Authors:  Edmund J Lamb; Michelle C Webb; David E Simpson; Anthony J Coakley; David J Newman; Shelagh E O'Riordan
Journal:  J Am Geriatr Soc       Date:  2003-07       Impact factor: 5.562

Review 8.  In defense of creatinine clearance.

Authors:  S Giovannetti; G Barsotti
Journal:  Nephron       Date:  1991       Impact factor: 2.847

9.  Predicted creatinine clearance to evaluate glomerular filtration rate in black Caribbean subjects.

Authors:  Ignace Mpio; Maurice Laville; Aoumeur Hadj-Aïssa; Jean-Pierre Fauvel
Journal:  Nephrol Dial Transplant       Date:  2003-07       Impact factor: 5.992

10.  Does eGFR improve the diagnostic capability of S-Creatinine concentration results? A retrospective population based study.

Authors:  Anders Kallner; Peter A Ayling; Zahra Khatami
Journal:  Int J Med Sci       Date:  2008-01-05       Impact factor: 3.738

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  5 in total

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Journal:  Clin Pharmacokinet       Date:  2015-07       Impact factor: 6.447

Review 2.  Glomerular filtration rate equations: a comprehensive review.

Authors:  Carlos G Musso; Joaquín Álvarez-Gregori; José Jauregui; Juan F Macías-Núñez
Journal:  Int Urol Nephrol       Date:  2016-04-06       Impact factor: 2.370

3.  Factors affecting the progression of renal dysfunction and the importance of salt restriction in patients with type 2 diabetic kidney disease.

Authors:  Noriko Kanauchi; Susumu Ookawara; Kiyonori Ito; Satsuki Mogi; Izumi Yoshida; Masafumi Kakei; San-E Ishikawa; Yoshiyuki Morishita; Kaoru Tabei
Journal:  Clin Exp Nephrol       Date:  2015-04-29       Impact factor: 2.801

4.  RANKL inhibition with denosumab does not influence 3-year progression of aortic calcification or incidence of adverse cardiovascular events in postmenopausal women with osteoporosis and high cardiovascular risk.

Authors:  Elizabeth J Samelson; Paul D Miller; Claus Christiansen; Nadia S Daizadeh; Luanda Grazette; Mary S Anthony; Ogo Egbuna; Andrea Wang; Suresh R Siddhanti; Angela M Cheung; Nathalie Franchimont; Douglas P Kiel
Journal:  J Bone Miner Res       Date:  2014-02       Impact factor: 6.741

5.  Estimating renal function in morbidly obese patients.

Authors:  Alex Lovell; Philip Game; Gary Wittert; Campbell Thompson
Journal:  Obes Surg       Date:  2013-09       Impact factor: 4.129

  5 in total

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