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당화알부민의 검사수행능력 및 혈액투석 중인 당뇨병 환자에서의 임상적 유용성

Performance Characteristics of Glycated Albumin and Its Clinical Usefulness in Diabetic Patients on Hemodialysis

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배경 : HbA1c는 혈액투석환자에서는 혈당을 저평가하는 경 향이 있어 근래에는 당화알부민이 혈당조절지표로서 대두되고 있다. 저자들은 당화알부민 시약인 Lucica GA-L (Asahi Kasei Pharma Co., Japan)의 검사수행능을 검증하고 그것의 평균혈당 추정능을 HbA1c와 비교하고자 했다. 방법 : 정밀도와 직선성, 간섭물질에 대한 검증을 시행하고 참 고치를 설정했다. 3개월, 2개월, 1개월 전의 혈당 결과를 가진 ‘비투석군’38명과‘혈액투석군’70명에서 HbA1c와 당화알부 민을 측정하고 두 군에서 혈당 가중평균과 HbA1c 또는 당화알 부민의 상관계수와 단순선형회귀식의 기울기를 비교하였다. 단 계별 변수선택법으로 중회귀분석을 시행하여 혈액투석여부가 HbA1c와 당화알부민에 유의한 영향을 미치는지 보고자 했다. 결과 : 총변이계수는 당화알부민 13.73%에서 2.2%였고 24.62 %에서 2.8%였다. 15.74-62.09%의 농도 범위에서 직선성이 확 인되었다. 참고치는 남성에서 9.98-16.49%, 여성에서 11.35- 17.55%이었다. 혈액투석군에서의 혈당 가중평균과 HbA1c의 상관계수는 0.568-0.625이었고 비투석군에서는 0.735-0.783 이었다. 혈당 가중평균과 당화알부민의 상관계수는 혈액투석군 에서 0.682-0.713이었고 비투석군에서는 0.640-0.677이었 다. 혈액투석군에서 HbA1c와 혈당가중평균의 회귀식 기울기는 0.012-0.014로 비투석군의 0.029-0.032에 비해 약 44.0% 수 준이었고 당화알부민과 혈당가중평균의 회귀식 기울기는 혈액 투석군에서 0.080-0.090으로 비투석군에서의 0.130-0.147에 비해 약 62.0% 수준이었다. HbA1c와 당화알부민 사이의 회귀 식 기울기는 혈액투석군에서 0.119로 비투석군의 0.163에 비해 약 73.0% 수준이었다. 중회귀분석 상, 혈액투석여부가 HbA1c 에는 유의한 영향을 준 반면, 당화알부민에는 그렇지 않았다. 결론 : 당화알부민 시약 Lucica GA-L의 검사수행능은 적절 한 것으로 확인되었다. 혈액투석군에서 측정된 HbA1c는 비투 석군에 비해 혈당가중평균에 둔감하게 반응하고 혈액투석 여부 의 영향을 받으므로 혈액투석 환자에서는 HbA1c의 약점을 보 완하기 위한 당화알부민의 측정이 추천된다.

Abstract

Background : The HbA1c has been considered to underestimate glucose level in diabetic patients on hemodialysis, therefore, glycated albumin (GA) was recently introduced to assess the glycemic control for those cases. We evaluated the performance of GA assay kit of Lucica GA-L (Asahi Kasei Pharma Co., Japan) and compare it with HbA1c for estimating glucose levels. Methods : Tests for precision, linearity and interference were performed and reference interval was determined. Thirty eight of non-hemodialysis and seventy of hemodialysis patients were recruited, whose glucose levels of three-, two- and one-month prior to this study were available for calculating weighted means of glucose (WMGs). The correlation coefficients and the slopes of regression equation between WMG and HbA1c or GA were compared between two groups. Multiple linear regression analyses were used to determine significant predictor for HbA1c and GA. Results : Total CV was 2.2% at concentration of 13.7% and 2.8% at 24.6%. The dilution curve between 15.7% and 62.1% was linear. Reference intervals were 10.0% to 16.5% for male and 11.4% to 17.6% for female. The correlation coefficients between WMG and GA were 0.682-0.713 in hemodialysis and 0.640-0.677 in non-hemodialysis. Those between WMG and HbA1c were 0.568-0.625 in hemodialysis and 0.735-0.783 in non-hemodialysis. The slopes of regression equation between GA and WMG in hemodialysis were 0.080-0.090 and 0.130-0.147 in non-hemodialysis. Those between HbA1c and WMG in hemodialysis were 0.012-0.014 and 0.029-0.032 in non-hemodialysis. GA was not influenced by hemodialysis status while HbA1c was. Conclusions : The claimed performance characteristic of Lucica GA-L were verified. WMG were better reflected by GA rather than HbA1c in patients on hemodialysis.

참고문헌 (35)

  1. Dunn PJ, "Reproducibility of hemoglobin AIc and sensitivity to various degrees of glucose intolerance", Ann Intern Med, 91, pp.390~396 (1979)
  2. The Diabetes Control and Complications Trial Research Group, "The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus", N Engl J Med, 329, pp.977~986 (1993)
  3. Ohkubo Y, "Intensive insulin therapy prevents the progression of diabetic microvascular complications in Japanese patients with non-insulindependent diabetes mellitus: a randomized prospective 6-year study", Diabetes Res Clin Pract, 28, pp.103~117 (1995)
  4. UK Prospective Diabetes Study (UKPDS) Group, "Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33)", Lancet, 352, pp.837~853 (1998)
  5. Goldstein DE, "Tests of glycemia in diabetes", Diabetes care, 27, pp.1761~1773 (2004)
  6. Wu MS, "Poor pre-dialysis glycaemic control is a predictor of mortality in type II diabetic patients on maintenance haemodialysis", Nephrol Dial Transplant, 12, pp.2105~2110 (1997)
  7. Morioka T, "Glycemic control is a predictor of survival for diabetic patients on hemodialysis", Diabetes Care, 24, pp.909~913 (2001)
  8. Menon V, "Glycosylated hemoglobin and mortality in patients with nondiabetic chronic kidney disease", J Am Soc Nephrol, 16, pp.3411~3417 (2005)
  9. Oomichi T, "Impact of glycemic control on survival of diabetic patients on chronic regular hemodialysis: a 7-year observational study", Diabetes Care, 29, pp.1496~1500 (2006)
  10. Nakao T, "Influence of erythropoietin treatment on hemoglobin A1c levels in patients with chronic renal failure on hemodialysis", Intern Med, 37, pp.826~830 (1998)
  11. Chujo K, "Indicators for blood glucose control in diabetics with end-stage chronic renal disease: GHb vs. glycated albumin (GA)", J Med Invest, 53, pp.223~228 (2006)
  12. Inaba M, "Glycated albumin is a better glycemic indicator than glycated hemoglobin values in hemodialysis patients with diabetes: effect of anemia and erythropoietin injection", J Am Soc Nephrol, 18, pp.896~903 (2007)
  13. Peacock TP, "Comparison of glycated albumin and hemoglobin A (1c) levels in diabetic subjects on hemodialysis", Kidney Int, 73, pp.1062~1068 (2008)
  14. Morgan L, "Glycated proteins as indices of glycaemic control in diabetic patients with chronic renal failure", Diabet Med, 13, pp.514~519 (1996)
  15. Joy MS, "Long-term glycemic control measurements in diabetic patients receiving hemodialysis", Am J Kidney Dis, 39, pp.297~307 (2002)
  16. Ansari A, "Assessing glycemic control in patients with diabetes and end-stage renal failure", Am J Kidney Dis, 41, pp.523~531 (2003)
  17. Williams ME, "Hemodialyzed type I and type II diabetic patients in the US: Characteristics, glycemic control, and survival", Kidney Int, 70, pp.1503~1509 (2006)
  18. Jones IR, "Glycosylated serum albumin: an intermediate index of diabetic control", Diabetes Care, 6, pp.501~503 (1983)
  19. Ziel FH, "The role of glucosylated serum albumin in monitoring glycemic control in stable insulin-requiring diabetic out-patients", J Clin Endocrinol Metab, 64, pp.269~273 (1987)
  20. Worner W, "Selective determination of non-enzymatic glycosylated serum albumin as a medium term index of diabetic control", Int J Clin Pharmacol Ther Toxicol, 31, pp.218~222 (1993)
  21. Takahashi S, "Comparison of glycated albumin (GA) and glycated hemoglobin (HbA1c) in type 2 diabetic patients: usefulness of GA for evaluation of short-term changes in glycemic control", Endocr J, 54, pp.139~144 (2007)
  22. Guthrow CE, "Enhanced nonenzymatic glucosylation of human serum albumin in diabetes mellitus", Proc Natl Acad Sci USA, 76, pp.4258~4261 (1979)
  23. Dolhofer R, "Improvement of the thiobarbituric acid assay for serum glycosylprotein determination", Clin Chim Acta, 112, pp.197~204 (1981)
  24. Ney KA, "The standardization of the thiobarbituric acid assay for nonenzymatic glucosylation of human serum albumin", Anal Biochem, 118, pp.294~300 (1981)
  25. Reed P, "Precise measurement of glycated serum albumin by column affinity chromatography and immunoturbidimetry", Clin Chim Acta, 161, pp.191~199 (1986)
  26. Ikeda K, "Determination of glycated albumin by enzyme-linked boronate immunoassay (ELBIA)", Clin Chem, 44, pp.256~263 (1998)
  27. Kouzuma T, "An enzymatic method for the measurement of glycated albumin in biological samples", Clin Chim Acta, 324, pp.61~71 (2002)
  28. Kouzuma T, "Study of glycated amino acid elimination reaction for an improved enzymatic glycated albumin measurement method", Clin Chim Acta, 346, pp.135~143 (2004)
  29. Paroni R, "Performance characteristics and clinical utility of an enzymatic method for the measurement of glycated albumin in plasma", Clin Biochem, 40, pp.1398~1405 (2007)
  30. Clinical and Laboratory Standards Institute, "Evaluation of precision performance of quantitative measurement methods; approved guideline EP5-A2" (2006), Clinical and Laboratory Standards Institute
  31. Ricos C, "Current databases on biological variation: pros, cons and progress", Scand J Clin Lab Invest, 59, pp.491~500 (1999)
  32. Clinical and Laboratory Standards Institute, "Evaluation of the linearity of quantitative measurement procedures: a statistical approach; approved guideline EP6-A" (2003), Clinical and Laboratory Standards Institute
  33. Clinical and Laboratory Standards Institute, "Interference testing in clinical chemistry; approved guideline EP7-A2" (2005), Clinical and Laboratory Standards Institute
  34. Clinical and Laboratory Standards Institute, "How to define and determine reference intervals in the clinical laboratory; approved guideline C28-A2" (2000), Clinical and Laboratory Standards Institute
  35. Sacks DB, "Carbohydrates, in Tietz Textbook of Clinical Chemistry and Molecular Diagnostics. 4th ed", pp.837~902 (2006), Elsevier Saunders

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