Literature DB >> 7958543

Monitoring kidney function in diabetic nephropathy.

P Rossing1, A S Astrup, U M Smidt, H H Parving.   

Abstract

Progression in diabetic nephropathy is usually determined by repeated measurements of glomerular filtration rate and expressed as rate of decline in glomerular filtration rate. Our aim was to evaluate the agreement between rate of decline in glomerular filtration rate estimated from the Cockroft-Gault formula: (140-age)*K*body weight*(1/S-creatinine) and measured by the plasma clearance of 51Cr-EDTA. All insulin-dependent diabetic patients with diabetic nephropathy followed-up for at least 5 years with at least 5 simultaneous measurements of glomerular filtration rate, s-creatinine, and weight were included in the study. Forty-three patients (32 male/11 female), age 31 (18-61) years were enrolled. Observation period: 6.6 (5.1-9.9) years and number of investigations per patient 6 (5-16) (median(range)). Baseline glomerular filtration rate (ml/min) was 97 (30) measured and 107 (37) estimated (mean(SD))(p < 0.001) and the 95% limits of agreement were -42.0 to 20.8 ml/min. Measured and estimated glomerular filtration rate correlated significantly (r = 0.91, p < 0.00001). Rate of decline in kidney function ml.min-1.year-1 was 4.7 (3.3) measured and 4.8 (3.5) estimated (mean(SD)) (NS), but the 95% limits of agreement showed a wide range -3.9 to 3.5 ml.min-1.year-1. A significant correlation between rate of decline in measured and estimated glomerular filtration rate was present (r = 0.84, p < 0.00001). In conclusion, glomerular filtration rate is overestimated by the Cockroft-Gault formula. The mean rates of decline in glomerular filtration rate are comparable, but the limits of agreement are wide, which make the Cockroft-Gault method unacceptable for clinical purposes, i.e. monitoring progression in kidney function in the individual patient.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1994        PMID: 7958543     DOI: 10.1007/BF00417696

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  26 in total

1.  Creatinine assay by a reaction-kinetic principle.

Authors:  K Larsen
Journal:  Clin Chim Acta       Date:  1972-10       Impact factor: 3.786

2.  Monitoring progression of diabetic nephropathy.

Authors:  H H Parving; A R Andersen; U M Smidt
Journal:  Ups J Med Sci       Date:  1985       Impact factor: 2.384

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

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

4.  A prospective study of glomerular filtration rate and arterial blood pressure in insulin-dependent diabetics with diabetic nephropathy.

Authors:  H H Parving; U M Smidt; B Friisberg; V Bonnevie-Nielsen; A R Andersen
Journal:  Diabetologia       Date:  1981-04       Impact factor: 10.122

5.  A simple method for the determination of glomerular filtration rate.

Authors:  J Bröchner-Mortensen
Journal:  Scand J Clin Lab Invest       Date:  1972-11       Impact factor: 1.713

6.  Impact of arterial blood pressure and albuminuria on the progression of diabetic nephropathy in IDDM patients.

Authors:  P Rossing; E Hommel; U M Smidt; H H Parving
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Review 7.  Serum creatinine and renal function.

Authors:  A S Levey; R D Perrone; N E Madias
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8.  Early aggressive antihypertensive treatment reduces rate of decline in kidney function in diabetic nephropathy.

Authors:  H H Parving; A R Andersen; U M Smidt; P A Svendsen
Journal:  Lancet       Date:  1983-05-28       Impact factor: 79.321

9.  Accurate estimation of glomerular filtration rate in diabetic nephropathy from age, body weight, and serum creatinine.

Authors:  M J Sampson; P L Drury
Journal:  Diabetes Care       Date:  1992-05       Impact factor: 19.112

10.  Monitoring glomerular function in diabetic nephropathy. A prospective study.

Authors:  G C Viberti; R W Bilous; D Mackintosh; H Keen
Journal:  Am J Med       Date:  1983-02       Impact factor: 4.965

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  7 in total

1.  Monitoring kidney function in diabetic nephropathy.

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5.  Accuracy and limitations of equations for predicting the glomerular filtration rate during follow-up of patients with non-diabetic nephropathies.

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

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  7 in total

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