Background The determination of glycated albumin (GA) has been suggested as an additional parameter having an independent added value respect to that of HbA1c. The determination of glycation gap (gg) has also been proposed, but few studies have addressed its potential impact in the routine evaluation of glycometabolic control. Methods A total of 157 subjects presenting normal whole blood cell count, no hemoglobin variants, normal creatinine levels and serum protein electrophoresis patterns were studied. In a second phase, a total of 205 subjects with no restrictions as those of the first phase study, were analyzed. HbA1cwas measured by capillary electrophoresis, glycated albumin by an enzymatic method and their gg were then calculated. Results The correlation between HbA1c and GA for the subjects of phase 1 was strong (r = 0.8927) and significant correlation between gg and age was remarked (r = 0.4486). We found 17.1% of phase 2 subjects with gg falling outside the 95% prediction intervals. Various clinical conditions seemed to affect these subjects, in our experience mostly often related to impaired renal function. Conclusion The glycation gap may be useful to alert clinicians about patients under unstable glycemic control or when various pre-analytical conditions my affect the reliability of the measurement of GA or HbA1c.

Glycation gap : an additional tool for glycometabolic monitoring / R. Paleari, M. Strollo, E. Guerra, F. Ceriotti, A. Mosca. - In: CLINICA CHIMICA ACTA. - ISSN 0009-8981. - 463(2016), pp. 27-31. [10.1016/j.cca.2016.10.004]

Glycation gap : an additional tool for glycometabolic monitoring

R. Paleari
Primo
;
A. Mosca
2016

Abstract

Background The determination of glycated albumin (GA) has been suggested as an additional parameter having an independent added value respect to that of HbA1c. The determination of glycation gap (gg) has also been proposed, but few studies have addressed its potential impact in the routine evaluation of glycometabolic control. Methods A total of 157 subjects presenting normal whole blood cell count, no hemoglobin variants, normal creatinine levels and serum protein electrophoresis patterns were studied. In a second phase, a total of 205 subjects with no restrictions as those of the first phase study, were analyzed. HbA1cwas measured by capillary electrophoresis, glycated albumin by an enzymatic method and their gg were then calculated. Results The correlation between HbA1c and GA for the subjects of phase 1 was strong (r = 0.8927) and significant correlation between gg and age was remarked (r = 0.4486). We found 17.1% of phase 2 subjects with gg falling outside the 95% prediction intervals. Various clinical conditions seemed to affect these subjects, in our experience mostly often related to impaired renal function. Conclusion The glycation gap may be useful to alert clinicians about patients under unstable glycemic control or when various pre-analytical conditions my affect the reliability of the measurement of GA or HbA1c.
Diabetes; Glycated albumin.; Glycemia; HbA1c; Adolescent; Adult; Aged; Diabetes Mellitus, Type 2; Female; Glycosylation; Hemoglobin A, Glycosylated; Humans; Male; Middle Aged; Reproducibility of Results; Serum Albumin; Young Adult; Biochemistry; Clinical Biochemistry; Biochemistry (medical)
Settore BIO/12 - Biochimica Clinica e Biologia Molecolare Clinica
2016
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/505222
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