To the Editor: In their paper published in Diabetologia [1], Bruno et al. assessed whether a reduction in estimated glomerular filtration rate (eGFR), calculated using the abbreviated Modification of Diet in Renal Disease (MDRD) study equation [2], predicted mortality in type 2 diabetes. Although an eGFR of <60 ml min−1 1.73 m−2 was associated with a twofold increase in the mortality rate, further analyses using smaller eGFR categories (15–29, 30–44, 45–59 ml min−1 1.73 m−2) revealed that this was due to the increased risk in patients with eGFR values between 15 and 29 ml min−1 1.73 m−2, with hazard ratios even suggesting a benefit for the non-proteinuric, moderate renal failure strata. To investigate whether this unexpected finding was due to the inaccuracy of the abbreviated MDRD equation in estimating GFR, we compared eGFR values with GFR values determined by 51Cr-labelled EDTA clearance (isotopic GFR [iGFR]) in a group of volunteers, stratifying the results as per Bruno et al. [1].
In total, 128 patients with type 2 diabetes (age 67 ± 9 years, BMI 28.8 ± 4.8, HbA1c 8.5 ± 1.6% [data presented as means ± SD], 53 women) gave informed consent to participate in this study, which was conducted in accordance with the Declaration of Helsinki. In the group as a whole, iGFR was 54.5 ± 32.7 ml min−1 1.73 m−2. Although the eGFR (48.2 ± 18.8 ml min−1 1.73 m−2) showed a strong correlation with i-GFR (r = 0.80, p < 0.001), it underestimated it (p < 0.001). The comparisons of eGFR and iGFR for each eGFR stratum as defined by Bruno et al. are shown in Table 1.
In the group as a whole, most of the subjects (55.5%) were wrongly classified by the MDRD-estimated GFR in the four GFR strata. This suggests that the majority of patients followed by Bruno et al. would have been classified in other strata if measured GFR rather than eGFR values had been used. In particular, many patients in the 45–60 and 60–89 ml min−1 1.73 m−2 eGFR intervals, who had hazard ratios of <1.00 for all-cause and cardiovascular mortality in the paper [1], would have been in higher GFR strata. Although it is the best predictor of GFR in diabetic patients with renal insufficiency [3], the MDRD equation is well known to underestimate GFR values at the upper end of the normal range [4]. This explains the high proportion of patients with chronic kidney disease in the population studied by Bruno et al. (34.3%), the majority of whom were women, a finding previously reported by other investigators [5]. The bias and inaccuracy of the MDRD equation probably explain the unexpected results obtained when it is applied to epidemiological studies. For example, O’Hare et al. reported a reduced mortality rate in non-diabetic patients with moderate reductions in GFR (50–59 ml min−1 1.73 m−2) after the age of 65 years [6]. Inverse relationships between renal function and cardiovascular risk factors have also been reported in the general population, depending on which equation is used to predict GFR [7]. As mentioned by Bruno, further studies with measured GFR rather than eGFR will be necessary to fully establish whether there is a link between a moderate reduction in renal function and the outcome of patients with diabetes.
Abbreviations
- eGFR:
-
estimated glomerular filtration rate
- iGFR:
-
isotopic glomerular filtration rate
- MDRD:
-
Modification of Diet in Renal Disease
References
Bruno G, Merletti F, Bargero G et al (2007) Estimated glomerular filtration rate, albuminuria and mortality in type 2 diabetes: the Casale Monferrato study. Diabetologia 50:941–948
Levey AS, Bosch JP, Lewis JB et al (1999) A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 130:461–470
Rigalleau V, Lasseur C, Perlemoine C et al (2005) Estimation of glomerular filtration rate in diabetic patients, Cockcroft or MDRD formula? Diabetes Care 28:838–843
Froissard M, Rossert J, Jacquot C et al (2005) Predictive performance of the Modification of Diet in Renal Disease and Cockcroft–Gault equations for estimating renal function. J Am Soc Nephrol 16:763–773
Middleton RJ, Foley RN, Hegarty J et al (2006) The unrecognized prevalence of chronic kidney disease in diabetes. Nephrol Dial Transplant 21:88–92
O’Hare AM, Bertenthal D, Covinsky KE et al (2006) Mortality risk stratification in chronic kidney disease: one size for all ages? J Am Soc Nephrol 17:846–853
Verhave JC, Gansevoort RT, Hillege HL et al (2004) Drawbacks of the use of indirect estimates of renal function to evaluate the effect of risk factors on renal function. J Am Soc Nephrol 15:1316–1322
Acknowledgements
This study was supported by a grant from the French Ministry of Health (Programme Hospitalier de Recherche Clinique 2001).
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Rigalleau, V., Beauvieux, MC., Lasseur, C. et al. Prediction of mortality rate in type 2 diabetes: estimated glomerular filtration rate underestimates the true rate. Diabetologia 50, 2410–2411 (2007). https://doi.org/10.1007/s00125-007-0796-8
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DOI: https://doi.org/10.1007/s00125-007-0796-8