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Research Article

End-user verification results of two serum separator tubes for clinical chemistry analytes according to CLSI GP34-A and CLSI GP41-A6

ORCID Icon, , , , , , , & show all
Received 06 Dec 2023, Accepted 12 Apr 2024, Published online: 03 May 2024
 

Abstract

Tube manufacturers use different composition of gels and blood clot activator formulations in serum tube production. Our aim was to investigate the within-tube (repeatability) and between-tube variation, concordance between comparison results of BD and VacuSEL tubes. Blood samples were collected from control subjects (n = 20) and patients (n = 30) in accordance with the CLSI GP41-A6 and CLSI GP34-A guidelines. Twenty-three clinical chemistry parameters were analysed via Roche Cobas C702 Chemistry Analyzer on T0 (0 hour) and T24 (24 hour). Mean differences % were compared with Wilcoxon matched pair test. Clinical significance was evaluated based on desirable bias according to total allowable error (TEa). VacuSEL tubes demonstrated acceptable performance for the results of 20 parameters with regards to desirable bias % limits. Lactate dehydrogenase (LD) [mean difference % (%95 confidence intervals (CI) values of BD and VacuSEL tubes at T0 [6.41% (4.80–8.01%)]; sodium (Na) and total protein (TP) at T24 [-0.27% (-0.46 to −0.07%) and −1.39% (-1.87 to −0.91), respectively] were over the desirable bias limits (LD: 4.3%, Na: 0.23% and TP: 1.36%, respectively) but not exceeding total biological variation CV % [Na: 0.5 (0.0–1.0) % and TP: 2.6 (2.3–2.7) %). %95 confidence intervals (CI) of T0 LD values overlap with within-subject biological variation % (CI) limits (LD: 5.2 (4.9–5.4) %). The differences between two tubes were not medically significant and necessarily conclusive. VacuSEL serum tubes presented comparable performance with BD serum tubes.

Not applicable.

Author contributions

PhD Sedat Abusoglu ([email protected]): Conception and design, acquisition of data, analysis and interpretation.

M.D. Busra Ecer ([email protected]): Acquisition of data, analysis.

M.D. Halil Guven ([email protected]): Acquisition of data, analysis.

M.D. Ahmet Emre Yorulmaz ([email protected]): Acquisition of data, analysis.

M.D. Muhitttin Abdulkadir Serdar ([email protected]): Analysis of data.

M.D. PhD Ali Unlu ([email protected]): Conception and design.

M.D. Fikret Akyurek ([email protected]): Interpretation of data.

M.D. PhD Bahadir Ozturk ([email protected]): Interpretation of data.

PhD Gulsum Abusoglu ([email protected]): Conception and design.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Financial disclosures

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Geolocation information

Konya, Turkey.

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