Literature DB >> 2050182

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

A A Ajayi1.   

Abstract

The predictive accuracy of the Cockroft and Gault equation in the assessment of creatinine clearance was evaluated in 30 Nigerian patients with hypertension, congestive heart failure, chronic renal failure and varying degrees of renal impairment. There was a high correlation between the measured and predicted creatinine clearance as shown by the regression equation: measured creatinine clearance = 0.84 predicted creatinine clearance +4.5 ml.min-1 (r2 = 0.74). The prediction error, reflecting the disparity between measured and calculated clearance was low at 2.0 (15.4) ml.min-1. Neither sex nor disease state or level of creatinine concentration had an important effect on the predictive value of the equation in Nigerians.

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Year:  1991        PMID: 2050182     DOI: 10.1007/bf00265859

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  9 in total

1.  Prediction of creatinine clearance from serum creatinine.

Authors:  D W Cockcroft; M H Gault
Journal:  Nephron       Date:  1976       Impact factor: 2.847

2.  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

3.  Creatinine clearance: a redundant clinical investigation.

Authors:  R B Payne
Journal:  Ann Clin Biochem       Date:  1986-05       Impact factor: 2.057

4.  Computer-assisted prescribing of kanamycin for patients with renal insufficiency.

Authors:  G E Mawer; S B Lucas; B R Knowles; R M Stirland
Journal:  Lancet       Date:  1972-01-01       Impact factor: 79.321

5.  Letter: Creatinine clearance: bedside estimate.

Authors:  R W Jelliffe
Journal:  Ann Intern Med       Date:  1973-10       Impact factor: 25.391

6.  Influence of range of renal function and liver disease on predictability of creatinine clearance.

Authors:  J H Hull; L J Hak; G G Koch; W A Wargin; S L Chi; A M Mattocks
Journal:  Clin Pharmacol Ther       Date:  1981-04       Impact factor: 6.875

7.  Predicting creatinine clearance and renal drug clearance in obese patients from estimated fat-free body mass.

Authors:  D E Salazar; G B Corcoran
Journal:  Am J Med       Date:  1988-06       Impact factor: 4.965

8.  Creatinine clearance in the elderly: a comparison of direct measurement and calculation from serum creatinine.

Authors:  Z Duraković
Journal:  Nephron       Date:  1986       Impact factor: 2.847

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

Authors:  G F Gates
Journal:  Am J Kidney Dis       Date:  1985-03       Impact factor: 8.860

  9 in total
  3 in total

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Journal:  Arq Bras Cardiol       Date:  2017-09-04       Impact factor: 2.000

2.  Creatinine clearance versus serum creatinine as a risk factor in cardiac surgery.

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Journal:  BMC Surg       Date:  2003-06-17       Impact factor: 2.102

3.  A clinical study of pattern and factors affecting outcome in Nigerian patients with advanced heart failure.

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  3 in total

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