Comparison of quality results between semi-autoanalyzer and autoanalyzer: A retrospective study conducted in a tertiary care center (Rural India)

Authors

DOI:

https://doi.org/10.51248/.v43i4.2996

Keywords:

Semi - Auto analyzer, Auto analyzer, Comparison, Quality

Abstract

Introduction and Aim: In India, the primary health centres, urban health centres and privatized small-scale laboratories use basic laboratory services like point of care testing (POCT) and quantitative results obtained from semi-auto analysers for diagnosis and treatment. Our objectives were to analyse biochemical parameters in the autoanalyzer and the semi-autoanalyzer and to compare the test performance of analysed biochemical parameters in the semi-autoanalyzer and autoanalyzer.

 

Materials and Methods: One hundred samples (10 patient samples and 90 internal quality control values), tested for 15 biochemical parameters were retrospectively studied. They were processed with the same reagent, methodology and environmental conditions in autoanalyzer Mindray BS 390 and semi-autoanalyzer KLS BA 200. Statistical analysis was carried out using independent student t test, Pearson correlation, Bias percent and Bland-Altman plot analysis

 

Results: Our study showed strong positive correlation for the 15 biochemical parameters between semi-autoanalyzer and autoanalyzer except for calcium, which showed moderate positive correlation (r=0.879). Bias % were all in acceptable limits except for SGOT and Albumin. Bland Altman analysis for ALP and Triglycerides also showed high variability between the two measurements with a mean difference of -6.23 and 4.48 respectively.

 

Conclusion: The test performance of biochemical parameters measured in the semi-auto analyser and fully automatic analyser were highly related and comparable, with a significant positive correlation. Semi-auto analysers could be an efficient alternative in peripheral setups to provide quality laboratory services. During the breakdown of any autoanalyzer, the semi-autoanalyzer acts as backup for analysing routine chemistry tests in some laboratories.

Author Biographies

Chandana G.

Department of Biochemistry, St. Peter’s Medical College Hospital and Research Institute, Hosur, Krishnagiri District, 635130, Tamil Nadu, India

Nitin Fal Desai

Kamineni Institute of Medical Sciences, Narketpally, 508254, Nalgonda District, Telangana, India

Md Masood Ahmed Shareef

Government Medical College, Suryapet, 508213, Telangana, India

References

Carl, A., Burtis., Edward, R., Ashwood., Norbert, W. Tietz Fundamentals of Clinical Chemistry. St. Louis, Missouri: Saunders Elsevier. 2008.

Raghbir, K. Compendium of Biomedical Instrumentation. Wiley Online Books. 2019; Vol 3.

Kumari, S., Bahinipati, J., Pradhan, T., Sahoo D.P. Comparison of test performance of biochemical parameters in semiautomatic method and fully automatic analyzer method. J Family Med Prim Care. 2020; 9:3994-4000.

Santhosh,V., Siva, L., Gurulakshmi. Comparative Study done in fasting blood glucose of type 2 diabetes mellitus patients between fully automated analyser,semi-automated analyser, and colorimeter in a tertiary hospital at Maduranthagam. Paripex - Indian Journal of Research. 2018;12: 31-32.

Kesarwani, A., Yadav, B. Comparison of direct bilirubin estimation by three different methods. Annals of International Medical and Dental Research. 2020;6(5) :1-3.

Kinns, H., Pitkin, S., Housley, D., Freedman, D.B. Internal quality control: best practice. J Clin Pathol. 2013; 66(12): 1027-1032.

James Westgard. Desirable specifications for total error, imprecision, and bias, derived from intra- and inter-individual biologic variation. Madison Wisconsin: Gray Fox Trail, Copyright 2019. https://www.westgard.com/biodatabase

Nam, Y., Lee, J.H., Kim, S. M., Jun, S.H., Song, S.H., Lee, K., et al., Song, J. Periodic comparability verification and within-laboratory harmonization of clinical chemistry laboratory results at a large healthcare center with multiple instruments. Ann Lab Med. 2022; 42(2):150-159.

Swetha, N., Kavitha, A. Evaluation and comparison of automated analysers on hepatic enzymes. Int J Res Med Sci. 2014; 2:595-601.

Baadenhuijsen, H., Scholten, R., Willems, H.L., Weykamp, C.W., Jansen, R.T. A model for harmonization of routine clinical chemistry results between clinical laboratories. Ann Clin Biochem. 2000; 37:330-337.

Giavarina, D. Understanding Bland Altman analysis. Biochem Med (Zagreb). 2015;25(2):141-151.

Bland, J.M., Altman, D.G. Measuring agreement in method comparison studies. Stat Methods Med Res.1999;8:135-160.

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Published

2023-08-30

How to Cite

1.
G. C, Fal Desai N, Masood Ahmed Shareef M. Comparison of quality results between semi-autoanalyzer and autoanalyzer: A retrospective study conducted in a tertiary care center (Rural India). Biomedicine [Internet]. 2023 Aug. 30 [cited 2023 Oct. 4];43(4):1166-72. Available from: https://biomedicineonline.org/index.php/home/article/view/2996

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