Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: New developments and revised recommendations

Medical Journal of Australia

Volumn 197, Issue 4, 2012, Pages 222-223

  Johnson, David W ^a   Jones, Graham R D ^b   Mathew, Timothy H ^c   Ludlow, Marie J ^c   Doogue, Matthew P ^d   Jose, Matthew D ^e   Langham, Robyn G ^f   Lawton, Paul D ^g   McTaggart, Steven J ^h   Peake, Michael J ^d   Polkinghorne, Kevan ⁱ   Usherwood, Tim ^j  

^a PRINCESS ALEXANDRA HOSPITAL   (Australia)

^b ST VINCENT S HOSPITAL   (Australia)

^c Kidney Health Australia   (Australia)

^d FLINDERS MEDICAL CENTRE   (Australia)

^e UNIVERSITY OF TASMANIA   (Australia)

^f ST VINCENT S HOSPITAL   (Australia)

^g ROYAL DARWIN HOSPITAL   (Australia)

^h ROYAL CHILDREN'S HOSPITAL   (Australia)

ⁱ MONASH MEDICAL CENTRE   (Australia)

^j UNIVERSITY OF SYDNEY   (Australia)

more..

Author keywords

[No Author keywords available]

Indexed keywords

CREATININE; BIOLOGICAL MARKER; ALBUMIN;

ADVERSE OUTCOME; ARTICLE; CHRONIC KIDNEY DISEASE; CREATININE BLOOD LEVEL; CREATININE CLEARANCE; ENZYME ASSAY; ETHNIC GROUP; GLOMERULUS FILTRATION RATE; HUMAN; KIDNEY FUNCTION TEST; OUTCOME ASSESSMENT; PREGNANCY OUTCOME; PREGNANT WOMAN; RISK ASSESSMENT; RISK FACTOR; VALIDATION PROCESS; ABORIGINE; ADOLESCENT; ADULT; AUSTRALIA AND NEW ZEALAND; BLOOD; CHILD; CHRONIC KIDNEY FAILURE; CONFERENCE PAPER; CONSENSUS DEVELOPMENT; DECISION SUPPORT SYSTEM; DOSE CALCULATION; ETHNOLOGY; FEMALE; PATHOPHYSIOLOGY; PRACTICE GUIDELINE; PREGNANCY; PREGNANCY COMPLICATION; ALBUMIN BLOOD LEVEL; ALBUMINURIA; COST EFFECTIVENESS ANALYSIS; CREATININE URINE LEVEL; DISEASE ASSOCIATION; MACROALBUMINURIA; MICROALBUMINURIA; ORGANIZATIONAL DOWNSIZING; ORGANIZATIONAL EFFICIENCY; PATIENT ASSESSMENT; PATIENT MONITORING; PREDICTIVE VALUE; PROTEIN URINE LEVEL; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; SEX RATIO; SYNDROME DELINEATION; URINALYSIS; URINARY EXCRETION; URINARY PROTEIN TO CREATININE RATIO; UROGENITAL SYSTEM PARAMETERS;

ADOLESCENT; ADULT; AUSTRALASIA; BIOLOGICAL MARKERS; CHILD; CREATININE; DECISION SUPPORT TECHNIQUES; DRUG DOSAGE CALCULATIONS; FEMALE; GLOMERULAR FILTRATION RATE; HUMANS; OCEANIC ANCESTRY GROUP; PREGNANCY; PREGNANCY COMPLICATIONS; RENAL INSUFFICIENCY, CHRONIC; RISK ASSESSMENT;

EID: 84866363812     PISSN: 0025729X     EISSN: 13265377     Source Type: Journal    
DOI: 10.5694/mja11.11329     Document Type: Article

References (38)

1. Mathew TH; Australasian Creatinine Consensus Working Group. Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: a position statement. Med J Aust 2005; 183: 138-141.
2. Mathew TH, Johnson DW, Jones GRD; on behalf of the Australasian Creatinine Consensus Working Group. Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: revised recommendations. Med J Aust 2007; 187: 459-463.
3. Atkins D, Best D, Briss PA, et al; GRADE Working Group. Grading quality of evidence and strength of recommendations. BMJ 2004; 328: 1490.
4. Uhlig K, Macleod A, Craig J, et al. Grading evidence and recommendations for clinical practice guidelines in nephrology. A position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int 2006; 70: 2058-2065.
5. Johnson DW, Jones GRD, Mathew TH, et al; Australasian Proteinuria Consensus Working Group. Chronic kidney disease and measurement of albuminuria or proteinuria: a position statement. Med J Aust 2012; 197: 222-223.
6. Levey AS, Stevens LA, Schmid CH, et al; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration). A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150: 604-612.
7. Levey AS, Stevens LA. Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions. Am J Kidney Dis 2010; 55: 622-627.
8. Stevens LA, Schmid CH, Greene T, et al. Comparative performance of the CKD Epidemiology Collaboration (CKD-EPI) and the Modification of Diet in Renal Disease (MDRD) study equations for estimating GFR levels above 60 mL/min/1.73m2. Am J Kidney Dis 2010; 56: 486-495.
9. Matsushita K, Selvin E, Bash LD, et al. Risk implications of the new CKD Epidemiology Collaboration (CKD-EPI) equation compared with the MDRD Study equation for estimated GFR: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Kidney Dis 2010; 55: 648-659.
10. White SL, Polkinghorne KR, Atkins RC, Chadban SJ. Comparison of the prevalence and mortality risk of CKD in Australia using the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Study GFR estimating equations: the AusDiab (Australian Diabetes, Obesity and Lifestyle) Study. Am J Kidney Dis 2010; 55: 660-670.
11. van den Brand JA, van Boekel GA, Willems HL, et al. Introduction of the CKDEPI equation to estimate glomerular filtration rate in a Caucasian population. Nephrol Dial Transplant 2011; 26: 3176-3181. doi: 10.1093/ndt/gfr003.
12. Johnson D; Caring for Australians with Renal Impairment. The CARI guidelines. Evaluation of renal function. Nephrology (Carlton) 2005; 10 Suppl 4: S133-S176.
13. Peake M, Whiting M. Measurement of serum creatinine-current status and future goals. Clin Biochem Rev 2006; 27: 173-184.
14. Myers GL, Miller GW, Coresh J, et al. Recommendations for improving serum creatinine measurement: a report from the Laboratory Working Group of the National Kidney Disease Education Program. Clin Chem 2006; 52: 5-18.
15. Piéroni L, Delanaye P, Boutten A, et al; Société Française de Biologie Clinique. A multicentric evaluation of IDMS-traceable creatinine enzymatic assays. Clin Chim Acta 2011; 412: 2070-2075.
16. Westgard QC. Desirable biological variation database specifications. http://www.westgard.com/biodatabase-2012-update.htm (accessed Aug 2012).
17. Chronic Kidney Disease Prognosis Consortium. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet 2010; 375: 2073-2081.
18. Gansevoort RT, Matsushita K, van der Velde M, et al; Chronic Kidney Disease Prognosis Consortium. Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts. Kidney Int 2011; 80: 93-104. doi: 10.1038/ki.2010.531.
19. van der Velde M, Matsushita K, Coresh J, et al. Lower estimated glomerular filtration rate and higher albuminuria are associated with all-cause and cardiovascular mortality. A collaborative meta-analysis of high-risk population cohorts. Kidney Int 2011; 79: 1341-1352.
20. Astor BC, Matsushita K, Gansevoort RT, et al. Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and endstage renal disease. A collaborative meta-analysis of kidney disease population cohorts. Kidney Int 2011; 79: 1331-1340. doi: 10.1038/ki.2010.550.
21. Levey AS, de Jong PE, Coresh J, et al. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report. Kidney Int 2010; 80: 17-28. doi: 10.1038/ki.2010.483.
22. US Department of Health and Human Services Food and Drug Administration. Guidance for industry: pharmacokinetics in patients with impaired renal function-study design, data analysis, and impact on dosing and labeling. Rockville, MD: Center for Drug Evaluation and Research and Center for Biologics Evaluation and Research, 1998. http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm072127.pdf (accessed Apr 2012).
23. Committee for Medicinal Products for Human Use (CHMP). Note for guidance on the evaluation of the pharmacokinetics of medicinal products in patients with impaired renal function. London, UK: European Medicines Agency, 2004. http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2009/09/WC500003123.pdf (accessed Apr 2012).
24. Jones GR. Estimating renal function for drug dosing decisions. Clin Biochem Rev 2011; 32: 81-88.
25. Doogue MP, Polasek TM. Drug dosing in renal disease. Clin Biochem Rev 2011; 32: 69-73.
26. Cervelli MJ, editor. The renal drug reference guide. Adelaide, SA: Kidney Health Australia, 2007.
27. Ma YC, Zuo L, Chen JH, et al. Modified glomerular filtration rate estimating equation for Chinese patients with chronic kidney disease. J Am Soc Nephrol 2006; 17: 2937-2944.
28. Imai E, Horio M, Nitta K, et al. Estimation of glomerular filtration rate by the MDRD study equation modified for Japanese patients with chronic kidney disease. Clin Exp Nephrol 2007; 11: 41-50.
29. Stevens LA, Claybon MA, Schmid CH, et al. Evaluation of the Chronic Kidney Disease Epidemiology Collaboration equation for estimating the glomerular filtration rate in multiple ethnicities. Kidney Int 2011; 79: 555-562.
30. Maple-Brown LJ, Lawton PD, Hughes JT, et al. Study Protocol-accurate assessment of kidney function in Indigenous Australians: aims and methods of the eGFR Study. BMC Public Health 2010; 10: 80.
31. Girling JC. Re-evaluation of plasma creatinine concentration in normal pregnancy. J Obstet Gynaecol 2000; 20: 128-131.
32. Hogg RJ. Screening for CKD in children: a global controversy. Clin J Am Soc Nephrol 2009; 4: 509-515.
33. Kaplan RE, Springate JE, Feld LG. Screening dipstick urinalysis: a time to change. Pediatrics 1997; 100: 919-921.
34. Rhodin MM, Anderson BJ, Peters AM, et al. Human renal function maturation: a quantitative description using weight and postmenstrual age. Pediatr Nephrol 2009; 24: 67-76.
35. Ceriotti F, Boyd JC, Klein G, et al; IFCC Committee on Reference Intervals and Decision Limits. Reference intervals for serum creatinine concentrations: assessment of available data for global application. Clin Chem 2008; 54: 559-566.
36. Cobbaert CM, Baadenhuijsen H, Weykamp CW. Prime time for enzymatic creatinine methods in pediatrics. Clin Chem 2009; 55: 549-558.
37. Greenberg N, Roberts WL, Bachmann LM, et al. Specificity characteristics of 7 commercial creatinine measurement procedures by enzymatic and Jaffe method principles. Clin Chem 2012; 58: 391-401.
38. Noble E, Johnson DW, Gray N, et al. The impact of automated eGFR reporting and education on nephrology service referrals. Nephrol Dial Transplant 2008; 23: 3845-3850.