BACKGROUND: Carbamylated hemoglobin (carbHb) is reported to interfere with measurement and interpretation of HbA(1c) in diabetic patients with chronic renal failure (CRF). There is also concern that HbA1c may give low results in these patients due to shortened erythrocyte survival. METHODS: We evaluated the effect of carbHb on HbA(1c) measurements and compared HbA(1c) with glycated albumin (GA) in patients with and without renal disease to test if CRF causes clinically significant bias in HbA(1c) results by using 11 assay methods. Subjects included those with and without renal failure and diabetes. Each subject's estimated glomerular filtration rate (eGFR) was used to determine the presence and degree of the renal disease. A multiple regression model was used to determine if the relationship between HbA(1c) results obtained from each test method and the comparative method was significantly (p<0.05) affected by eGFR. These methods were further evaluated for clinical significance by using the difference between the eGRF quartiles of >7% at 6 or 9% HbA(1c). The relationship between HbA(1c) and glycated albumin (GA) in patients with and without renal failure was also compared. RESULTS: Some methods showed small but statistically significant effects of eGFR; none of these differences were clinically significant. If GA is assumed to better reflect glycemic control, then HbA(1c) was approximately 1.5% HbA(1c) lower in patients with renal failure. CONCLUSIONS: Although most methods can measure HbA(1c) accurately in patients with renal failure, healthcare providers must interpret these test results cautiously in these patients due to the propensity for shortened erythrocyte survival in renal failure.
BACKGROUND: Carbamylated hemoglobin (carbHb) is reported to interfere with measurement and interpretation of HbA(1c) in diabeticpatients with chronic renal failure (CRF). There is also concern that HbA1c may give low results in these patients due to shortened erythrocyte survival. METHODS: We evaluated the effect of carbHb on HbA(1c) measurements and compared HbA(1c) with glycated albumin (GA) in patients with and without renal disease to test if CRF causes clinically significant bias in HbA(1c) results by using 11 assay methods. Subjects included those with and without renal failure and diabetes. Each subject's estimated glomerular filtration rate (eGFR) was used to determine the presence and degree of the renal disease. A multiple regression model was used to determine if the relationship between HbA(1c) results obtained from each test method and the comparative method was significantly (p<0.05) affected by eGFR. These methods were further evaluated for clinical significance by using the difference between the eGRF quartiles of >7% at 6 or 9% HbA(1c). The relationship between HbA(1c) and glycated albumin (GA) in patients with and without renal failure was also compared. RESULTS: Some methods showed small but statistically significant effects of eGFR; none of these differences were clinically significant. If GA is assumed to better reflect glycemic control, then HbA(1c) was approximately 1.5% HbA(1c) lower in patients with renal failure. CONCLUSIONS: Although most methods can measure HbA(1c) accurately in patients with renal failure, healthcare providers must interpret these test results cautiously in these patients due to the propensity for shortened erythrocyte survival in renal failure.
Authors: J T Kwan; E C Carr; A D Neal; J Burdon; M J Raftery; F P Marsh; J L Barron; M R Bending Journal: Nephrol Dial Transplant Date: 1991 Impact factor: 5.992
Authors: Barry I Freedman; Lilian Andries; Zak K Shihabi; Michael V Rocco; Joyce R Byers; Cesar Y Cardona; Michael A Pickard; David L Henderson; Margie V Sadler; Leah M Courchene; Jean R Jordan; Somer S Balderston; Angie D Graham; Vicki L Mauck; Gregory B Russell; Anthony J Bleyer Journal: Clin J Am Soc Nephrol Date: 2011-05-19 Impact factor: 8.237
Authors: Barry I Freedman; Rajeev N Shenoy; Jonathan A Planer; Kimberly D Clay; Zak K Shihabi; John M Burkart; Cesar Y Cardona; Lilian Andries; Todd P Peacock; Hernan Sabio; Joyce R Byers; Gregory B Russell; Anthony J Bleyer Journal: Perit Dial Int Date: 2010 Jan-Feb Impact factor: 1.756