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Published on: April 4, 2017
Hemolysis, Icterus, and Lipemia Interference Limits for Serum β-hydroxybutyrate Testing
Mark A Cervinski1,2, Macey J Smith2, Gracie Forgues2
1Department of Pathology and Laboratory Medicine, The Geisel School of Medicine at Dartmouth, One Medical Center Dr., Lebanon, NH, United States.
This study determined interference thresholds for the Stanbio β-Hydroxybutyrate (BOHB) assay on Roche cobas analyzers. Updated limits for hemolysis, icterus, and lipemia reduce unnecessary sample cancellations and account for analyzer model variations.
Area of Science:
- Clinical Chemistry
- Laboratory Medicine
- Analytical Biochemistry
Background:
- Measurement of β-hydroxybutyrate (BOHB) is crucial for assessing metabolic acidoses.
- The Stanbio β-Hydroxybutyrate LiquiColor reagent is commonly used for BOHB analysis.
- Evaluating interference from hemolysis, icterus, and lipemia is essential for assay reliability.
Purpose of the Study:
- To evaluate hemolysis, icterus, and lipemia interference thresholds for the Stanbio BOHB assay.
- To assess assay performance on three different Roche cobas analyzer models.
- To establish updated, clinically relevant interference limits for BOHB testing.
Main Methods:
- Patient sample pools were created with varying BOHB concentrations (0.20, 3.00, 7.00 mmol/L).
- Increasing amounts of hemolysate, bilirubin, or Intralipid® were added to sample pools.
- Interference and BOHB concentration were measured in triplicate on Roche cobas c502, c501, and c311 analyzers.
Main Results:
- The assay tolerated hemolysis up to an index of 400 (≤1.00 mmol/L BOHB) or 1010 (>1.00 mmol/L BOHB).
- Icterus interference was not observed up to an index of 25 (25 mg/dL bilirubin) across all tested BOHB concentrations.
- A lipemia index limit of 800 was established based on conservative data.
Conclusions:
- Updated interference limits for the Stanbio BOHB assay were defined, reducing unnecessary sample cancellations.
- Interference varied between different Roche cobas analyzer models, highlighting the importance of model-specific validation.
- These findings enable better definition of permissible sample quality limits in clinical laboratories.
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