Icteric human samples: Icterus index and method of estimating an interference-free value for 16 biochemical analyses

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Abstract

Background: Hemolysis, Icterus, and Lipemia constituting the HIL index, are the most common causes of interference with accurate measurement in biochemistry. This study focuses on bilirubin interference, aiming to identify the analyses impacted and proposing a way to predict nominal interference-free analyte concentrations, based on both analyte level and Icterus Index (Iict). Methods: Sixteen common analytes were studied: alanine aminotransferase (ALT), albumin (ALB), alkaline phosphatase (ALP), amylase (AMY), aspartate aminotransferase (AST), total cholesterol (CHOLT), creatinine (CREA, enzymatic method), fructosamine (FRUC), gamma-glutamyl transferase (GGT), HDL cholesterol (HDLc), total iron (Iron), lipase (LIP), inorganic phosphorus (Phos), total protein (PROT), triglycerides (TG), and uric acid (UA). Both the traditional 10% change in concentrations from baseline and the Total Change Level (TCL) were taken as acceptance limits. Nineteen pools of sera covering a wide range of values were tested on the Cobas® 6000 (Roche Diagnostics). Iict ranged from 0 to 60. Results: Eight analytes increased (FRUC and Phos) or decreased (CHOLT, CREA, HDLc, PROT, TG, and UA) significantly when Iict increased. FRUC, HDLc, PROT, and UA showed a linear relationship when Iict increased. A non-linear relationship was found for TG, CREA, and for CHOLT; this also depended on analyte levels. Others were not impacted, even at high Iict. Conclusions: A method of estimating an interference-free value for FRUC, HDLc, PROT, Phos, UA, TG, and CREA, and for CHOLT in cases of cholestasis, is proposed. Iict levels are identified based on analytical performance goals, and equations to recalculate interference-free values are also proposed.

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Nicolay, A., Lorec, A. M., Gomez, G., & Portugal, H. (2018). Icteric human samples: Icterus index and method of estimating an interference-free value for 16 biochemical analyses. Journal of Clinical Laboratory Analysis, 32(2). https://doi.org/10.1002/jcla.22229

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