Abstract
Glomerular filtration rate (GFR) is the most widely accepted measure of kidney function. Acute kidney injury (AKI) is defined as a reduction in GFR. GFR is, however, rarely measured in clinical practice; instead, serum markers (primarily creatinine) are used to define AKI. Because serum creatinine level is not linearly related to GFR, the performance of this marker is associated with ascertainment bias and poor sensitivity. In this article we discuss the limitations and pitfalls of using serum markers to define AKI, and offer some suggestions for the future.
Key Points
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Glomerular filtration rate (GFR)—the most widely accepted indicator of renal function—is rarely measured directly in clinical practice; instead, it is estimated using equations for which serum markers (e.g. creatinine level) are variables
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Even when measured directly, GFR does not indicate the function of renal tubules, which are nearly always damaged during acute kidney injury (AKI)
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In patients with AKI, serum creatinine levels often do not increase until injury is severe; a lack of standard definitions of AKI also hampers optimization of outcomes and comparison of data from different trials
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Trials in AKI should report relative rather than absolute serum creatinine levels, use 'hard' primary outcomes (e.g. need for dialysis), and validate emerging biomarkers of renal injury
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It seems most likely that kidney function will eventually be assessed using a set of serum biomarkers, whereas kidney injury will be detected and followed up primarily using a set of urinary biomarkers
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References
Hirsch R et al. (2007) NGAL is an early predictive biomarker of contrast-induced nephropathy in children. Pediatr Nephrol 22: 2089–2095
Mehta RL and Chertow GM (2003) Acute renal failure definitions and classification: time for change? J Am Soc Nephrol 14: 2178–2187
Mehta RL et al. (2007) Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Crit Care 11: R31
Chertow GM et al. (2006) Mortality after acute renal failure: models for prognostic stratification and risk adjustment. Kidney Int 70: 1120–1126
Molitoris BA et al. (2007) Improving outcomes from acute kidney injury. J Am Soc Nephrol 18: 1992–1994
Lima EQ et al. (2007) Acute kidney injury prevalence and mortality after coronary artery bypass graft surgery: comparison of AKIN and RIFLE classifications. J Am Soc Nephrol 18: 805A
Van Biesen W et al. (2006) Defining acute renal failure: RIFLE and beyond. Clin J Am Soc Nephrol 1: 1314–1319
Devarajan P (2007) Emerging biomarkers of acute kidney injury. Contrib Nephrol 156: 203–212
Vaidya VS et al. (2007) Biomarkers of acute kidney injury. Annu Rev Pharmacol Toxicol [10.1146/annurev.pharmtox.48.113006.094615]
Waikar SS et al. (2007) Urinary biomarkers following cardiac catheterization. J Am Soc Nephrol 18: 796A
Wang L et al. (2007) Urine IL-18 predicts contrast-induced nephropathy 24 hours earlier than serum creatinine and also correlated with later cardiac events. J Am Soc Nephrol 18: 796A
Solomon R (2007) Contrast media nephropathy—how to diagnose and how to prevent? Nephrol Dial Transplant 22: 1812–1815
Shemesh O et al. (1985) Limitations of creatinine as a filtration marker in glomerulopathic patients. Kidney Int 28: 830–838
Diskin CJ (2007) Creatinine and glomerular filtration rate: evolution of an accommodation. Ann Clin Biochem 44: 16–19
Giles PD and Fitzmaurice DA (2007) Formula estimation of glomerular filtration rate: have we gone wrong? BMJ 334: 1198–1200
Levey AS et al. (2006) Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 145: 247–254
Cockcroft DW and Gault MH (1976) Prediction of creatinine clearance from serum creatinine. Nephron 16: 31–41
Solomon RJ et al. (2007) Cardiac Angiography in Renally Impaired Patients (CARE) study: a randomized double-blind trial of contrast-induced nephropathy in patients with chronic kidney disease. Circulation 115: 3189–3196
Spargias K et al. (2004) Ascorbic acid prevents contrast-mediated nephropathy in patients with renal dysfunction undergoing coronary angiography or intervention. Circulation 110: 2837–2842
Ozcan EE et al. (2007) Sodium bicarbonate, N-acetylcysteine, and saline for prevention of radiocontrast-induced nephropathy: a comparison of 3 regimens for protecting contrast-induced nephropathy in patients undergoing coronary procedures: a single-center prospective controlled trial. Am Heart J 154: 539–544
Barrett BJ et al. (2006) Contrast-induced nephropathy in patients with chronic kidney disease undergoing computed tomography: a double-blind comparison of iodixanol and iopamidol. Invest Radiol 41: 815–821
Jelliffe R (2002) Estimation of creatinine clearance in patients with unstable renal function, without a urine specimen. Am J Nephrol 22: 320–324
Herrera J and Rodriguez-Iturbe B (1998) Stimulation of tubular secretion of creatinine in health and in conditions associated with reduced nephron mass. Evidence for a tubular functional reserve. Nephrol Dial Transplant 13: 623–629
Bräutigam M and Persson PB (2006) Do iodinated contrast media interfere with renal tubular creatinine secretion? Radiology 240: 615
Poggio ED et al. (2005) Performance of the modification of diet in renal disease and Cockcroft-Gault equations in the estimation of GFR in health and in chronic kidney disease. J Am Soc Nephrol 16: 459–466
Rule AD et al. (2004) Using serum creatinine to estimate glomerular filtration rate: accuracy in good health and in chronic kidney disease. Ann Intern Med 141: 929–937
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Solomon, R., Segal, A. Defining acute kidney injury: what is the most appropriate metric?. Nat Rev Nephrol 4, 208–215 (2008). https://doi.org/10.1038/ncpneph0746
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DOI: https://doi.org/10.1038/ncpneph0746
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