Yonsei Med J. 2012 Jul;53(4):866-869. English.
Published online May 22, 2012.
© Copyright: Yonsei University College of Medicine 2012
letter

Re: Microalbuminuria in Normal Korean Children

Francois Cachat, and Hassib Chehade
    • Department of Pediatrics, Division of Pediatric Nephrology University Hospital, Lausanne, Switzerland.
Received February 01, 2012; Accepted March 01, 2012.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Dear Sir,

We read with much interest the article of Kwak, et al.1 The authors report normal reference values of urinary albumin excretion (expressed as an albumin/creatinine ratio) in a normal population of normal children/adolescents aged 1 month to 19 years old. Detection, evaluation and treatment of microalbuminuria (MA) has recently become an extremely important health issue, and screening of MA is now included in several national and international recommendations/guidelines for hypertension (HTN)2 and diabetes mellitus (DM)3 management. The efficacy of early detection of albuminuria/proteinuria is further substantiated by powerful and effective treatment with angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, which have been shown to delay progression towards end-stage renal disease4 and decrease cardiovascular morbidity/mortality.5 Providing pediatricians with much needed reference values for urine albumin excretion is therefore a laudable exercise. Epidemiologic studies concerning urinary albumin excretion in children are scarce, and most of them are conducted in subjects with pre-existing DM, obesity, or chronic kidney disease.6-8 Very few epidemiological studies have been performed in normal children.9-12 However, before adopting these newly published reference values, we would like to make the following comments in regards to some aspects of the study, more specifically patient descriptions, results reporting and statistical analysis.

Selection of healthy subjects for the elaboration of reference intervals for a given measure is known to be fraught with difficulties. Subjects with a disease (overt or subclinical) can be hidden in the studied population and modify the distribution of the values for the measure in question.13 Kwak, et al. enrolled children in a busy outpatient clinic of a University Hospital in Korea.1 Children were reported as "healthy", and although the authors excluded subjects with overt proteinuria, DM, renal disease or acute infection (all conditions known to cause MA/proteinuria), the exact reason for their visit was not stated. MA is also known to be associated with HTN,14 obesity,15 and DM/metabolic syndrome,16 all conditions which were not specifically mentioned in the paper. The authors should have reported if children presented HTN, obesity or metabolic syndrome, all factors that could impact the presence of MA. Low body mass index (BMI) should have also been reported, as a (very) low muscular mass could alter creatinine excretion,17 hence the reason for the use of the albumin/creatinine ratio, although creatinine excretion was found to be within normal limits in patients with Duchenne Muscular Dystrophy.18

Pre-analytical procedures should be described in more detail, given the potential (albeit small) impact of freezing urine on its albumin concentration.19 It is not clear how albuminuria (RIA? HPLC?) and creatinine (compensated Jaffé technique? enzymatic method?) were measured with the Toshiba 200 FR Neo, and this should be specified in order to increase the reproducibility of the results in subsequent studies. The authors use the Schwartz formula for estimation of the glomerular filtration rate. The newly revised Schwartz formulas have recently been shown to be more accurate, and should now be used for children aged one year and above with a deemed normal renal function.20

Reference values should be subjected to careful statistical treatment, including partitioning, inspection of the distribution, identification and elimination of outliers.21, 22 The authors use parametric statistical methods (mean and standard deviation) to define the reference intervals. This is in contrast with the current recommendations of the International Federation for Clinical Chemistry (IFCC) who recommended the use of non-parametric methods,13 although both methods may produce similar estimates of the percentiles. In this study, no data on the (assumed) normal distribution of the results or outliers identification were provided. The log transformation of spot urine MA/creatinine ratios might indeed indicate a non-Gaussian distribution of the results. However, there was no mention of how outliers were evaluated and eventually eliminated. Deletion of outliers can improve the characteristics of data distribution. While no statistical evaluation of outliers has the ability to predict outliers in every situation, there are several methods that are recommended, such as the Dixon/Reed method, which has been used extensively.21, 23 Partitioning for subgroups according to age in pediatric studies should be based on strong statistical methods as well.24, 25 It is not clear how age partitioning was performed in this study. Whenever possible, sample size targets should be determined at the start of the study.26

In summary and once again, the authors provided us with one of the few studies to describe reference values for albumin excretion in a population of healthy children, and they should be congratulated for that. However, given the above-mentioned limitations, further research is needed, with studies including a larger number of well-defined healthy participants (the IFCC guidelines for establishing reference intervals recommend 120 reference subjects per subgroup or partition,13) which will allow us to obtain reference intervals with more robust statistical methods (non-parametric methods often give narrower reference intervals than those calculated by parametric statistics).26, 27 Reference intervals calculated from small samples should be applied cautiously.26, 27

Notes

The authors have no financial conflicts of interest.

References

    1. Kwak BO, Lee ST, Chung S, Kim KS. Microalbuminuria in normal Korean children. Yonsei Med J 2011;52:476–481.
    1. Rabi DM, Daskalopoulou SS, Padwal RS, Khan NA, Grover SA, Hackam DG, et al. The 2011 Canadian Hypertension Education Program recommendations for the management of hypertension: blood pressure measurement, diagnosis, assessment of risk, and therapy. Can J Cardiol 2011;27:415–433.
    1. Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Kirkman MS, et al. Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Clin Chem 2011;57:e1–e47.
    1. Lewis EJ, Hunsicker LG, Bain RP, Rohde RD. The Collaborative Study Group. The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. N Engl J Med 1993;329:1456–1462.
    1. Yusuf S, Sleight P, Pogue J, Bosch J, Davies R, Dagenais G. Effects of an angiotensin-converting-enzyme inhibitor, ramipril, on cardiovascular events in high-risk patients. The Heart Outcomes Prevention Evaluation Study Investigators. N Engl J Med 2000;342:145–153.
    1. Basic J, Golubovic E, Miljkovic P, Bjelakovic G, Cvetkovic T, Milosevic V. Microalbuminuria in children with vesicoureteral reflux. Ren Fail 2008;30:639–643.
    1. Burgert TS, Dziura J, Yeckel C, Taksali SE, Weiss R, Tamborlane W, et al. Microalbuminuria in pediatric obesity: prevalence and relation to other cardiovascular risk factors. Int J Obes (Lond) 2006;30:273–280.
    1. Cizmecioğlu FM, Noyes K, Bath L, Kelnar C. Audit of microalbumin excretion in children with type I diabetes. J Clin Res Pediatr Endocrinol 2009;1:136–143.
    1. Bangstad HJ, Dahl-Jørgensen K, Kjaersgaard P, Mevold K, Hanssen KF. Urinary albumin excretion rate and puberty in non-diabetic children and adolescents. Acta Paediatr 1993;82:857–862.
    1. Sanchez-Bayle M, Rodriguez-Cimadevilla C, Asensio C, Ruiz-Jarabo C, Baena J, Arnaiz P, et al. Niño Jesus Group. Urinary albumin excretion in Spanish children. Pediatr Nephrol 1995;9:428–430.
    1. Jones CA, Francis ME, Eberhardt MS, Chavers B, Coresh J, Engelgau M, et al. Microalbuminuria in the US population: third National Health and Nutrition Examination Survey. Am J Kidney Dis 2002;39:445–459.
    1. Tsioufis C, Tsiachris D, Dimitriadis K, Thomopoulos C, Syrseloudis D, Andrikou E, et al. Leontio Lyceum ALbuminuria (3L Study) epidemiological study: aims, design and preliminary findings. Hellenic J Cardiol 2009;50:476–483.
    1. Horowitz GL. Clinical and Laboratory Standards Institute. In: Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory: Approved Guideline. 3rd ed. PA: USA: Clinical and Laboratory Standards Institute; 2008.
    1. Ruilope LM, Bakris GL. Renal function and target organ damage in hypertension. Eur Heart J 2011;32:1599–1604.
    1. Savino A, Pelliccia P, Chiarelli F, Mohn A. Obesity-related renal injury in childhood. Horm Res Paediatr 2010;73:303–311.
    1. Sanad M, Gharib A. Evaluation of microalbuminuria in obese children and its relation to metabolic syndrome. Pediatr Nephrol 2011;26:2193–2199.
    1. Ellam TJ. Albumin: creatinine ratio--a flawed measure? The merits of estimated albuminuria reporting. Nephron Clin Pract 2011;118:c324–c330.
    1. Franciotta D, Zanardi MC, Albertotti L, Orcesi S, Berardinelli A, Pichiecchio A, et al. Measurement of skeletal muscle mass in Duchenne muscular dystrophy: use of 24-h creatinine excretion. Acta Diabetol 2003;40 Suppl 1:S290–S292.
    1. Parekh RS, Kao WH, Meoni LA, Ipp E, Kimmel PL, La Page J, et al. Reliability of urinary albumin, total protein, and creatinine assays after prolonged storage: the Family Investigation of Nephropathy and Diabetes. Clin J Am Soc Nephrol 2007;2:1156–1162.
    1. Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, et al. New equations to estimate GFR in children with CKD. J Am Soc Nephrol 2009;20:629–637.
    1. Griffin A, O'Shea P, FitzGerald R, O'Connor G, Tormey W. Establishment of a paediatric age-related reference interval for the measurement of urinary total fractionated metanephrines. Ann Clin Biochem 2011;48(Pt 1):41–44.
    1. Jung B, Adeli K. Clinical laboratory reference intervals in pediatrics: the CALIPER initiative. Clin Biochem 2009;42:1589–1595.
    1. Dixon W. Processing data for outliers. Biometrics 1953;9:74–89.
    1. Harris EK, Boyd JC. On dividing reference data into subgroups to produce separate reference ranges. Clin Chem 1990;36:265–270.
    1. Lahti A. Partitioning biochemical reference data into subgroups: comparison of existing methods. Clin Chem Lab Med 2004;42:725–733.
    1. Harris E, Boyd J. In: Statistical bases of reference values in laboratory medicine. New York: Marcel Dekker; 1995.
    1. Podnar S. Comparison of parametric and nonparametric reference data in motor unit potential analysis. Muscle Nerve 2008;38:1412–1419.

Yonsei Med J. 2012 Jul;53(4):866-869. > Response
Yonsei Med J. 2012 Jul;53(4):.
© Copyright: Yonsei University College of Medicine 2012
Author's Reply
Kyo Sun Kim
Department of Pediatrics, School of Medicine, Konkuk University, Seoul, Korea.

Corresponding author: Dr. Kyo Sun Kim, Department of Pediatrics, School of Medicine, Konkuk University, 120-1 Neungdong-ro, Gwangjin-gu, Seoul 143-729, Korea. Tel: 82-2-2030-7370, Fax: 82-2-2030-5009, Email: kimkyo@kuh.ac.kr

We thank you for your review and comments on our article.

This study was conducted on 352 healthy children (185 males and 167 females) who visited the pediatric department at Konkuk University Hospital between July 2007 and March 2010. The patients with overt proteinuria, renal diseases, diabetes mellitus, and acute infectious diseases were excluded. Actually, most of the subjects were follow-up visit patients who were discharged with acute illnesses such as acute gastroenteritis, acute pharyngitis or viral pneumonia. We checked that they had no fever and no hypertension.1 Children with metabolic disease or other conditions that could potentially impact the presence of microalbuminuria were excluded. In this study, we measured the subjects' height, weight, blood pressure, and serum creatinine. The z-scores of the heights and weights were obtained using the LMS method and compared to 2007 Korean growth charts.1 Although there were 7 children with more than 97 percentile of body mass index (BMI), we did not observe any significant difference in microalbumin/creatinine ratio.

Random morning urine samples were stored in a refrigerator without freezing and processed within one hour. Urine microalbumin and creatinine were examined by Toshiba 200 FR Neo (Toshiba Medical System Co., Tokyo, Japan) using the Jaffe technique. Glomerular filtration rates were obtained using the Schwartz formula.2 Although the newly revised Schwartz formula, which was based on height, serum creatinine, cystatin C, blood urea nitrogen, and gender, have recently been shown to be more accurate, we could not use this formula because serum cystatin C was not fully obtained.3, 4 As you mentioned, the original Schwartz formula could overestimate glomerular filtration rate (GFR), and further studies using the new equation are required.

In this study, we divided subjects into five groups based on their age: from one to 12 months (Group 1), 12 to 28 months (Group 2), 29 to 48 months (Group 3), 4 to 6 years (Group 4), and 7 to 19 years (Group 5). The International Federation for Clinical Chemistry (IFCC) guidelines for establishing reference intervals recommend 120 reference subjects per subgroup or partition, if using the classical non parametric protocol.5 And IFCC recommended evaluation and elimination of outliers using 'Dixon/Reed one-third rule'.6, 7 However, it was difficult to collect 120 samples for each age group in this study, which was conducted at a single university hospital. And as you know, studies performed in children are known to have significant biological variability because during the childhood years, rapid and significant changes occur during growth and development.8 It was difficult to choose a partitioning method for subgroups, despite the availability of a few statistical approaches such as the Harris-Boyd method.9 In our study, we considered physiological changes according to age, and observed statistically significant differences in value among subgroups. GFR increases gradually to mature values when linear growth is completed during adolescence. Rhodin, et al.10 reported that GFR is predicted to be 90% that of adult GFR at 1-year postnatal age, and demonstrate a consistent relationship from early prematurity to adulthood. Yap, et al.11 divided subjects into 2 subgroups, from neonate to 2 years and 2 to 4 years, and presented the data according to age. So we decided to subdivide the subjects, aged 1 month to 19 years old, into five groups considering these physiological factors.

In conclusion, although this study was performed at a single center and has limitations, it presented data describing a reference range for microalbuminuria in healthy children. Further multicenter studies including a larger number of population is needed to determine the reference values for spot urine microalbumin/creatinine ratios in normal children.

References

    1. Lee SY, Kim YN, Kang YJ, Jang MJ, Kim J, Moon JS, et al. The methodology for developing the 2007 Korean growth charts and blood pressure nomogram in Korean children and adolescents. Korean J Pediatr 2008;51:26–32.
    1. Schwartz GJ, Brion LP, Spitzer A. The use of plasma creatinine concentration for estimating glomerular filtration rate in infants, children, and adolescents. Pediatr Clin North Am 1987;34:571–590.
    1. Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, et al. New equations to estimate GFR in children with CKD. J Am Soc Nephrol 2009;20:629–637.
    1. Bacchetta J, Cochat P, Rognant N, Ranchin B, Hadj-Aissa A, Dubourg L. Which creatinine and cystatin C equations can be reliably used in children? Clin J Am Soc Nephrol 2011;6:552–560.
    1. Clinical and Laboratory Standard Institute (CLSI). Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guidelines. 3rd ed. PA, USA: Clinical and Laboratory Standard Institute; 2008.
    1. Griffin A, O'Shea P, FitzGerald R, O'Connor G, Tormey W. Establishment of a paediatric age-related reference interval for the measurement of urinary total fractionated metanephrines. Ann Clin Biochem 2011;48(Pt 1):41–44.
    1. Dixon WJ. Processing data for outliers. Biometrics 1953;9:74–89.
    1. Jung B, Adeli K. Clinical laboratory reference intervals in pediatrics: the CALIPER initiative. Clin Biochem 2009;42:1589–1595.
    1. Harris EK, Boyd JC. On dividing reference data into subgroups to produce separate reference ranges. Clin Chem 1990;36:265–270.
    1. Rhodin MM, Anderson BJ, Peters AM, Coulthard MG, Wilkins B, Cole M, et al. Human renal function maturation: a quantitative description using weight and postmenstrual age. Pediatr Nephrol 2009;24:67–76.
    1. Yap C, Yap HK, Chio LF. Urine microalbumin/creatinine ratios in Singapore children. J Singapore Paediatr Soc 1991;33:101–106.

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