A Simple and Easy Process for the Determination of Estimated Plasma Glucose Level in Patients Presenting to Hospital An Example of Multicentric Data Mining

The aim of the present study was to determine the relation between the simultaneous fasting plasma glucose level and HbA1c in a large population of patients presenting to the hospital, based on various measurement methods available for HbA1c. HbA1c levels of 162,210 patients presenting to various ho...

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Bibliographic Details
Published inJournal of Laboratory Automation Vol. 21; no. 6; pp. 794 - 798
Main Authors Serdar, Muhittin A., Koldaş, Macit, Serteser, Mustafa, Akın, Okhan, Sonmez, Cigdem, Gülbahar, Ozlem, Akbıyık, Filiz, Ünsal, Ibrahim
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.12.2016
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Summary:The aim of the present study was to determine the relation between the simultaneous fasting plasma glucose level and HbA1c in a large population of patients presenting to the hospital, based on various measurement methods available for HbA1c. HbA1c levels of 162,210 patients presenting to various hospitals and laboratories were measured based on seven different systems, and at the same time, eAG levels were calculated based on HbA1c levels. The correlation coefficients (r) between serum plasma glucose and HbA1c levels were found to be 0.809, 0.774, 0.779, 0.817, 0.704, 0.796, and 0.747 in Bio-Rad Variant II, Tosoh G8, ADAMS A1c, Trinity Boronate Affinity, Chromsystems HPLC, Roche Tina-quant, and Abbott Architect, respectively. The concordance correlation coefficients between the eAG levels as calculated with the formulas provided in the text and the eAG levels as calculated according to NGSP directions (where eAG = (28.7*HbA1c) – 46.7) were found to be between 0.9339 and 0.9866. Despite the progress made for the standardization of HbA1c measurements, the relation between serum glucose and HbA1c still demonstrated certain discrepancies pertaining to the differences in measurement methodologies. As a conclusion, each laboratory could determine different eAG levels depending on the data originated by their individual analyzer.
ISSN:2211-0682
2472-6303
1540-2452
2211-0690
DOI:10.1177/2211068215624468