Abstract Number: PB0556
Meeting: ISTH 2020 Congress
Background: The approach commonly employed to model optical interference through lipemia is to use an artificial substance (e.g., INTRALIPID emulsion). Because turbidity caused by lipemia is very heterogeneous, as the native lipoproteins’ VLDL and chylomicrons vary in size and optical density, the current technique for measuring such turbidity is limited. A new evaluation algorithm** was developed on the Atellica® COAG 360 System to improve the detection of native lipids as interfering substances.
Aims: Improvement of the detection of native triglycerides as interfering substances compared to clinical chemistry systems.
Methods: The HIL module on the Atellica COAG 360 System consists of a capillary measurement cell with a photometric unit (LEDs at wavelengths l = 365, 415, 470, and 645 nm) attached.
The module reports the HIL assessments in index levels from 1 (low) to 9 (high).
Results from a previous study on the functionality of the HIL module were used to prove the new DeltaE evaluation algorithm. All results were compared to visual inspection and to the results from the clinical chemistry analyzer. Sensitivity and specificity were calculated and compared to the results from the clinical chemistry system.
Results: INTRALIPID curves compared to real native lipid spectra showed a different deflection, which causes the heterogenous behavior related to turbidity. The new evaluation algorithm DeltaE compared to the previous check algorithm for lipemic samples showed a better correlation to visual inspection and the clinical chemistry analyzer. Sensitivity for lipemic samples improved compared to the results from the clinical chemistry analyzer.
Conclusions: The new evaluation algorithm on the Atellica COAG 360 System enables much better differentiation of lipemic samples, with very good correlation to the real triglyceride content in native patient samples.
*Product not available for sale in the U.S. Product availability varies by country
**This feature is not commercially available. Its future availability cannot be ensured.
To cite this abstract in AMA style:Sass K, Kramer J, Bätz O, Echternacht S, Crombach S. An Improved Algorithm for the Detection of Lipemia as Interfering Substances on a Fully Automated Coagulation Analyzer [abstract]. Res Pract Thromb Haemost. 2020; 4 (Suppl 1). https://abstracts.isth.org/abstract/an-improved-algorithm-for-the-detection-of-lipemia-as-interfering-substances-on-a-fully-automated-coagulation-analyzer/. Accessed November 26, 2020.
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