Analysis of Blood Glycosylated Haemoglobin levels in cancer patients by two different analysers having same principle and methodology

Various factors may affect the accuracy of haemoglobin (Hb) A1c measurements that are widely used to monitor glycaemic control in diabetic patients. Glycosylated haemoglobin levels were estimated on two different biochemistry analysers. The values obtained were compared statistically. This study aim...

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Bibliographic Details
Published in:Indian journal of clinical biochemistry 2022-05, Vol.33 (S1), p.S80
Main Authors: Gavhane, Umakant A, Poladia, P, Pillai, B, Tiwari, M, Pal, S, Mohite, R, Karmore, A, Gosavi, U, More, S, Chavan, P, Bhat, V, Matle, T, Inamdar, N, Geeta, R, Naresh, C
Format: Article
Language:English
Subjects:
Analytical instruments
Cancer patients
Care and treatment
Comparative analysis
Diabetics
Glycosylated hemoglobin
Instrument industry
Methods
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Summary:Various factors may affect the accuracy of haemoglobin (Hb) A1c measurements that are widely used to monitor glycaemic control in diabetic patients. Glycosylated haemoglobin levels were estimated on two different biochemistry analysers. The values obtained were compared statistically. This study aims at the possibility of using either analyser interchangeably. Measurements of HbA1c were carried out in blood samples from 67 patients using two different analysers SIEMENS DIMENSION EXL-LM and BECKMAN COULTER AU5800 based on the turbidometric inhibition immunoassay (TINIA). The data was statistically analysed using Linear regression, Passing Bablok Bland-Altman plot. Linear-regression analysis showed r2 as 0.9245, Passing Bablok Regression showed 95% confidence interval between 0.95 and 1.12. Bland-Altman showed bias of -0.11. There was good correlation between Blood Glycosylated Haemoglobin (HbA1C) levels obtained by two different analysers having same principle and methodology. This suggests that either of the analysers may be used for HbA1C analysis. KEYWORDS: HbA1C, Biochemistry analysers, statistical correlation
ISSN:0970-1915