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Evaluation of error levels in hemoglobin A1c and glycated albumin in type 2 diabetic patients due to inter-individual variability.
Diabetes Res Clin Pract. 2010 Aug; 89(2):115-20.DR

Abstract

AIM

To evaluate error levels in hemoglobin A1c (A1C) and glycated albumin (GA) in type 2 diabetic patients due to inter-individual variability.

METHODS

Type 2 diabetic patients with stable glycemic control and without complications affecting either A1C or GA were enrolled (n=154; age 68.4+/-9.9 years). Blood examination was performed 1-4h after breakfast or lunch every 2-3 months on > or =3 occasions. A1C data were changed to IFCC values for analysis.

RESULTS

A1C and GA correlated significantly with postprandial plasma glucose. The correlation coefficient between A1C and GA was 0.728 (p<0.001) when calculated using raw data and 0.747 (p<0.001) when calculated using averaged data for each patient. The ratio R of GA to A1C was 3.88+/-0.50 for raw data and 3.88+/-0.47 for averaged data, indicating coefficients of variation of R (CV(R)) of 12.9% and 12.1%, respectively. Multiple regression analysis reduced CV(R) to 11.2%. After dividing CV(R)(2) into CV(A1C)(2) and CV(GA)(2), CV(A1C) and CV(GA) were calculated as 9.1% for raw data and 8.6% for averaged data, and were reduced to 7.9% after multiple regression analysis.

CONCLUSIONS

Error levels in A1C and GA reach 7.9-9.1%, suggesting the existence of maximal 18% errors in A1C and GA levels.

Authors+Show Affiliations

Diabetes Division, Department of Internal Medicine, Meimai Central Hospital, Matsugaoka 4-1-32, Akashi, Hyogo 678-0862, Japan. ystahara.dmdr@zeus.eonet.ne.jpNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

20452083

Citation

Tahara, Yasuhiro, and Kenji Shima. "Evaluation of Error Levels in Hemoglobin A1c and Glycated Albumin in Type 2 Diabetic Patients Due to Inter-individual Variability." Diabetes Research and Clinical Practice, vol. 89, no. 2, 2010, pp. 115-20.
Tahara Y, Shima K. Evaluation of error levels in hemoglobin A1c and glycated albumin in type 2 diabetic patients due to inter-individual variability. Diabetes Res Clin Pract. 2010;89(2):115-20.
Tahara, Y., & Shima, K. (2010). Evaluation of error levels in hemoglobin A1c and glycated albumin in type 2 diabetic patients due to inter-individual variability. Diabetes Research and Clinical Practice, 89(2), 115-20. https://doi.org/10.1016/j.diabres.2010.04.007
Tahara Y, Shima K. Evaluation of Error Levels in Hemoglobin A1c and Glycated Albumin in Type 2 Diabetic Patients Due to Inter-individual Variability. Diabetes Res Clin Pract. 2010;89(2):115-20. PubMed PMID: 20452083.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Evaluation of error levels in hemoglobin A1c and glycated albumin in type 2 diabetic patients due to inter-individual variability. AU - Tahara,Yasuhiro, AU - Shima,Kenji, Y1 - 2010/05/07/ PY - 2009/12/19/received PY - 2010/03/23/revised PY - 2010/04/12/accepted PY - 2010/5/11/entrez PY - 2010/5/11/pubmed PY - 2010/11/5/medline SP - 115 EP - 20 JF - Diabetes research and clinical practice JO - Diabetes Res. Clin. Pract. VL - 89 IS - 2 N2 - AIM: To evaluate error levels in hemoglobin A1c (A1C) and glycated albumin (GA) in type 2 diabetic patients due to inter-individual variability. METHODS: Type 2 diabetic patients with stable glycemic control and without complications affecting either A1C or GA were enrolled (n=154; age 68.4+/-9.9 years). Blood examination was performed 1-4h after breakfast or lunch every 2-3 months on > or =3 occasions. A1C data were changed to IFCC values for analysis. RESULTS: A1C and GA correlated significantly with postprandial plasma glucose. The correlation coefficient between A1C and GA was 0.728 (p<0.001) when calculated using raw data and 0.747 (p<0.001) when calculated using averaged data for each patient. The ratio R of GA to A1C was 3.88+/-0.50 for raw data and 3.88+/-0.47 for averaged data, indicating coefficients of variation of R (CV(R)) of 12.9% and 12.1%, respectively. Multiple regression analysis reduced CV(R) to 11.2%. After dividing CV(R)(2) into CV(A1C)(2) and CV(GA)(2), CV(A1C) and CV(GA) were calculated as 9.1% for raw data and 8.6% for averaged data, and were reduced to 7.9% after multiple regression analysis. CONCLUSIONS: Error levels in A1C and GA reach 7.9-9.1%, suggesting the existence of maximal 18% errors in A1C and GA levels. SN - 1872-8227 UR - https://www.unboundmedicine.com/medline/citation/20452083/Evaluation_of_error_levels_in_hemoglobin_A1c_and_glycated_albumin_in_type_2_diabetic_patients_due_to_inter_individual_variability_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0168-8227(10)00184-1 DB - PRIME DP - Unbound Medicine ER -