Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Feb;32(2):e22229.
doi: 10.1002/jcla.22229. Epub 2017 Apr 11.

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

Affiliations

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

Alain Nicolay et al. J Clin Lab Anal. 2018 Feb.

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.

Keywords: bilirubin; biochemistry; correction; icterus index; interference.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Relation between I ict and TBIL (μmol/L; see abbreviation in text). A linear relation is observed between I ict and TBIL. As I ict is always available (and not TBIL), a relation between I ict and the interference on the analytes should be studied
Figure 2
Figure 2
Relation between I ict and analytes. Observed variation before D (%) and after correction Z (%), allowable cut‐off as ±TCL (%) and equations between I ict and D (%) are shown for PROT (A), AU (B), Phos (C), HDLc (D),TG (E), CREA (F), CHOLT (G) and FRUC (H). CHOLT is subdivided from <3 mmol/L to >5 mmol/L. The interference with CHOLT depends on level of this analyte. For CHOL (G), Z (%) is valid only when CHOLT >4 mmol/L and I ict≤40. In this last case (G), equation is 8.38 × 10−3 − 5.41 × 10−3x (see abbreviation in text)

Similar articles

Cited by

References

    1. Monneret D, Mestari F, Atlan G, et al. Hemolysis indexes for biochemical tests and immunoassays on Roche analyzers: determination of allowable interference limits according to different calculation methods. Scand J Clin Lab Invest. 2015;75:162‐169. - PubMed
    1. Agarwal S, Vargas G, Nordstrom C, Tam E, Buffone GJ, Devaraj S. Effect of interference from hemolysis, icterus and lipemia on routine pediatric clinical chemistry assays. Clin Chim Acta. 2015;438:241‐245. - PubMed
    1. Shin DH, Kim J, Uh Y, et al. Development of an integrated reporting system for verifying hemolysis, icterus, and lipemia in clinical chemistry results. Annals Lab Med. 2014;34:307‐312. - PMC - PubMed
    1. Salvagno GL, Lippi G, Gelati M, Guidi GC. Hemolysis, lipaemia and icterus in specimens for arterial blood gas analysis. Clin Biochem. 2012;45:372‐373. - PubMed
    1. Ji JZ, Meng QH. Evaluation of the interference of hemoglobin, bilirubin, and lipids on Roche Cobas 6000 assays. Clin Chim Acta. 2011;412:1550‐1553. - PubMed