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QJM Advance Access originally published online on January 14, 2008
QJM 2008 101(2):155-158; doi:10.1093/qjmed/hcm134
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© The Author 2008. Published by Oxford University Press on behalf of the Association of Physicians. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

New results from the Modification of Diet in Renal Disease study: the importance of clinical outcomes in test strategies for early chronic kidney disease

P.D. Giles1, P.B. Rylance2 and D.C. Crothers1

From the 1Department of Biochemistry, Walsall Hospitals NHS Trust, Wallsall, West Midlands WS2 9PS, UK, and 2Renal Unit, New Cross Hospital, Wolverhampton, WV10 0QP (Royal Wolverhampton NHS Trust).

Address correspondence to Dr P.D. Giles, Department of Biochemistry, Walsall Hospitals NHS Trust, Moat Road, Walsall, West Midlands WS2 9PS, UK. email: Paul.giles{at}walsallhospitals.nhs.uk

Received 4 September 2007 and in revised form 17 November 2007


    Summary
 Top
 Summary
 Introduction
 Is eGFR being used...
 Controversies around eGFR
 Kidney function tests as...
 Conclusions
 References
 
A formula derived from the Modification of Diet in Renal Disease (MDRD) study in chronic renal disease is widely used to estimate glomerular filtration rate (GFR). Recently a ten-year follow-up of MDRD participants evaluated four tests of kidney function measured at baseline as predictors of important long-term clinical outcomes.

Surprisingly, neither formula-estimated GFR nor reference method GFR showed a clear advantage over simple creatinine measurement whereas another test, cystatin C, looked more promising. This raises important points of principle in terms of how the usefulness of test strategies should be assessed. Data on clinical outcomes are an essential ingredient in this process.


    Introduction
 Top
 Summary
 Introduction
 Is eGFR being used...
 Controversies around eGFR
 Kidney function tests as...
 Conclusions
 References
 
Recent years have seen the widespread adoption of formula estimates of glomerular filtration rate (eGFR), often calculated from serum creatinine by a method derived from the Modification of Diet in Renal Disease (MDRD) Study. 1 Routine reporting of eGFR is advocated in several countries. In Great Britain it is required by the National Service Framework for Renal Services 2 and general practitioners have now been asked to establish registers of patients with eGFR of 60 ml/min/1.73 m2 or worse. 3 MDRD formula estimations are undoubtedly valuable for managing patients with proven chronic kidney disease (CKD), for example in staging and monitoring progress. Estimates of kidney function by another calculation, the Cockcroft–Gault formula, are used for adjusting drug dosages. 4 However, more controversial is the use of eGFR to test patients without previously recognized CKD. Further discussion of this is timely following the publication in 2007 of a 10-year follow-up study of participants in the MDRD trial. 5


    Is eGFR being used as a screening test?
 Top
 Summary
 Introduction
 Is eGFR being used...
 Controversies around eGFR
 Kidney function tests as...
 Conclusions
 References
 
In 2002 Grimes and Schulz reviewed the principles of screening, which they described as ‘a double-edged sword, sometimes wielded clumsily by the well-intended.’ 6 They distinguished between case finding (seeking additional conditions in those with known predisposing conditions) and screening. Where eGFR is used selectively in patients with conditions predisposing to CKD (such as diabetes or hypertension) its application can be described as case finding. However, if eGFR is provided with every new creatinine result issued by laboratories, and if general practitioners’ computers apply the MDRD formula retrospectively to old creatinine results then testing can be described as opportunistic screening. This is particularly true since most creatinine assays are performed within broad test profiles without specific CKD questions being formulated in advance.

Grimes and Schulz 6 emphasized on the importance of four characteristics commonly used to describe the performance of screening tests: sensitivity, specificity and the predictive values of positive and negative test results. The prevalence of disease in the tested population has a profound effect on the predictive value of abnormal test results: in populations with low disease prevalence even tests with very good specificity produce significant numbers of false positives.


    Controversies around eGFR
 Top
 Summary
 Introduction
 Is eGFR being used...
 Controversies around eGFR
 Kidney function tests as...
 Conclusions
 References
 
Routine eGFR reporting has divided opinion. Enthusiasts 7 highlight the poor sensitivity of serum creatinine in early CKD: in some individuals GFR may halve before serum creatinine rises above the population reference range.8 Sceptics9 underline the MDRD formula's inaccuracy in people with normal or near-normal renal function, where there is underestimation of GFR relative to reference methods, compounded by wide variation in the size of error between individuals. In effect, sensitivity for early CKD has been enhanced at the expense of specificity; some healthy subjects will be wrongly identified as having CKD by eGFR testing. The number of individuals misclassified will increase as testing becomes more widespread: less selective testing will reduce the prevalence of CKD in the tested population and thereby reduce the predictive value of abnormal tests, increasing the false positive rate. In addition, in some patients discrepant estimates of renal function are obtained through the two most widely used formulas, MDRD and Cockcroft–Gault, with implications for drug dose adjustment in renal disease.4

Some errors in eGFR will be reduced by improved standardization of creatinine assays10 and by controlling the conditions under which blood samples are obtained to reduce the influence of dietary factors on serum creatinine levels.11 However, there are issues with eGFR beyond these methodological points.

One problem is that creatinine itself is imperfect as a glomerular filtration marker. Numerous non-filtration factors, including variations in patients’ metabolic state and medications, affect serum creatinine results. Inevitably these effects will translate into errors in estimates of GFR calculated with any creatinine-based formula.12


    Kidney function tests as predictors of clinical outcome
 Top
 Summary
 Introduction
 Is eGFR being used...
 Controversies around eGFR
 Kidney function tests as...
 Conclusions
 References
 
The recent publication of a follow-up study on participants in the original MDRD trial 5 raises a different type of issue with eGFR screening and this concerns our purpose in trying to detect CKD earlier. The objective is to permit earlier identification of individuals at increased risk of adverse clinical events so that we might have better opportunity to improve their outcomes through treatment. Patients with CKD are at risk of progressing to renal failure and of succumbing to cardiovascular disease (CVD), which is the major cause of death in these patients. 13 Implicit in the current strategy is the expectation that by estimating GFR early in the development of CKD it might be possible to identify risk more effectively than is possible by simple creatinine measurement. It is in this regard that the long-term follow-up of MDRD participants is especially interesting. The authors compared four indices of renal dysfunction measured at baseline (serum creatinine, MDRD formula-estimated GFR, GFR measured by the iothalamate reference-method and cystatin C) as risk factors for adverse outcomes. Cystatin C is a serum component less affected than creatinine by non-renal factors, including muscle mass, and easily assayed. Although previous investigations have compared cystatin C with other markers of glomerular function, no previous study has directly compared cystatin C and serum creatinine as risk factors for outcomes in CKD patients and no study has previously compared measured GFR with cystatin C in terms of clinical outcomes. In one sense the results were disappointing in that the reference-method GFR, formula-estimated GFR and serum creatinine did not differ significantly from each other in the strength of their associations with either all-cause mortality or cardiovascular death (Figure 1). We cannot therefore assume that the extension of formula-estimation of GFR to patients with more normal renal function than the original participants in the MDRD study will improve capacity to predict cardiovascular risk in the way that might have been hoped. On the other hand the authors suggested that the other renal marker evaluated, cystatin C, may provide cardiovascular prognostic information in CKD beyond its role as an index of GFR. The confidence intervals were wide in the MDRD follow-up study so that the results regarding cystatin C were not decisive, but the possible prognostic value of cystatin C has been indicated by several other studies, particularly among the elderly.14–16 This is important because a high proportion of patients found to have reduced eGFR are elderly and the MDRD formula is itself less well validated in this age group.


Figure 1
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Figure 1. Association between baseline markers of kidney function and cardiovascular mortality. *Hazard ratios and their confidence intervals (CIs) per 1-SD change in each measure of kidney function were used to allow a standardized comparison across the measures using the same scale. Because creatinine and cystatin C vary inversely with GFR, they are expressed as reciprocals to allow direct comparison. Cox proportional hazards model adjusted for age, sex, race, smoking, history of diabetes and CVD, body mass index, systolic blood pressure, low-density lipoprotein cholesterol level, high-density lipoprotein cholesterol level, proteinuria, C-reactive protein level. Drawn from data published in Menon et al.5

 

    Conclusions
 Top
 Summary
 Introduction
 Is eGFR being used...
 Controversies around eGFR
 Kidney function tests as...
 Conclusions
 References
 
The new data from the MDRD study should cause reflection on testing strategies for early CKD. In judging the usefulness of testing it is not enough to assess newer tests (e.g. formula estimates of GFR) solely according to their ability to approximate to older tests (e.g. reference-method GFR). Instead we need more direct data from trials on the capacity of testing to predict the adverse clinical outcomes we wish to prevent. In particular, the potential role of cystatin C in risk assessment warrants further investigation but there are other candidate tests as prognostic indicators in CKD, including B-type natriuretic peptide.17 Finally, it is important to appreciate that even if we had a testing strategy capable of identifying individuals with early CKD and assessing their risk of developing progressive kidney disease and/or increased cardiovascular complications, we still need proof of the effectiveness of therapeutic interventions used in such patients. Unfortunately, nephrology is characterised by a distinct scarcity of interventional trials and indeed patients with CKD have actually been excluded from many of the major trials that underpin current practice in preventative cardiology. 18 As Sherlock Holmes once remarked to Watson: ‘It is an error to argue in front of your data. You will find yourself insensibly twisting them round to fit your theories’.


    References
 Top
 Summary
 Introduction
 Is eGFR being used...
 Controversies around eGFR
 Kidney function tests as...
 Conclusions
 References
 
1. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. 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 (1999) 130:461–70.[Abstract/Free Full Text]

2. National Service Framework for Renal Services. Part two: chronic kidney disease, acute renal failure and end of life care. (2005) London: Department of Health. Available at: http://www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsPolicyAndGuidance/DH_4101902.

3. NHS Employers. Contract changes for 2006/07. (2006) Available at www.nhsemployers.org/primary/primary-2450.cfm.

4. Wargo KA, Eiland EH III, Hamm W, English TM, Phillippe HM. Comparison of the modification of diet in renal disease and Cockcroft–Gault equations for antimicrobial dosage adjustments. Ann Pharmacother (2006) 40:1248–53.[Abstract/Free Full Text]

5. Menon V, Shlipak MG, Wang X, Coresh J, Greene T, Stevens L, Kusek JW, Beck GJ, Collins AJ, Levey AS, Sarnak MJ. Cystatin C as a Risk Factor for Outcomes in Chronic Kidney Disease. Ann Intern Med (2007) 147:19–27.[Abstract/Free Full Text]

6. Grimes DA, Schulz KF. Uses and abuses of screening tests. Lancet (2002) 259:881–4.[CrossRef]

7. MacGregor MS, Boag DE, Innes A. Chronic kidney disease: evolving strategies for detection and management of impaired renal function. Q J Med (2006) 99:365–75.[Web of Science]

8. Shemesh O, Golbetz H, Kriss J, Myers BD. Limitations of creatinine as a filtration marker in glomerulopathic patients. Kidney Int (1985) 28:830–8.[Web of Science][Medline]

9. Rainey PM. Automatic reporting of estimated glomerular filtration rate—jumping the gun? Clin Chem (2006) 52:2184–7.[Free Full Text]

10. Levey AS, Coresh J, Greene T, et al. for the Chronic Kidney Disease Epidemiology Collaboration. Expressing the modification of diet in renal disease study equation for estimating glomerular filtration rate with standardised serum creatinine values. Clin Chem (2007) 53:766–72.[Abstract/Free Full Text]

11. Preiss DJ, Godber IM, Lamb EJ, Dalton RN, Gunn IR. The influence of a cooked-meat meal on estimated glomerular filtration rate. Ann Clin Biochem (2007) 44:35–42.[CrossRef][Web of Science][Medline]

12. Diskin CJ. Creatinine and glomerular filtration rate: evolution of an accommodation. Ann Clin Biochem (2007) 44:16–19.[CrossRef][Web of Science][Medline]

13. Sarnak MJ, Levey AS, Schoolwerth AC, et al. Kidney disease as a risk factor for development of cardiovascular disease. Circulation (2003) 108:2154–69.[Free Full Text]

14. Shlipak MG, Wassel Fyr CL, Chertow GM, et al. Cystatin C and mortality risk in the elderly: the health, aging, and body composition study. J Am Soc Nephrol (2006) 17:254–61.[Abstract/Free Full Text]

15. Shlipak MG, Sarnak MJ, Katz R, et al. Cystatin C and the risk of death and cardiovascular events among elderly persons. N Engl J Med (2005) 352:2049–60.[Abstract/Free Full Text]

16. Sarnak MJ, Katz R, Stehman-Breen CO, et al. and the Cardiovascular Health Study. Cystatin C concentration as a risk factor for heart failure in older adults. Ann Intern Med (2005) 142:497–505.[Abstract/Free Full Text]

17. Spanus K-S, Kronenberg F, Ritz E, et al. B-Type natriuretic peptide concentrations predict the progression of nondiabetic chronic kidney disease: The mild-to-moderate kidney disease study. for the Mild-to-Moderate Kidney Disease Study Group. Clin Chem (2007) 53:1264–72.[Abstract/Free Full Text]

18. Himmelfarb J. Chronic kidney disease and the public health. Gaps in evidence from interventional trials. JAMA (2007) 297:2630–33.[Free Full Text]


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This Article
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