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IFCC Working Group Recommendations for Assessing Commutability Part 2: Using the Difference in Bias between a
Göran Nilsson1, Jeffrey R Budd2, Neil Greenberg3
1Uppsala, Sweden.
Clinical Chemistry
|January 20, 2018
Summary
This study presents a method to assess reference material (RM) commutability by comparing bias differences between RMs and clinical samples (CSs) across measurement procedures (MPs). It ensures RMs are fit for purpose in laboratory diagnostics.
Area of Science:
- Clinical Chemistry
- Biomedical Engineering
- Laboratory Medicine
Background:
- Commutability of reference materials (RMs) is crucial for accurate laboratory diagnostics.
- Current methods for assessing commutability can be complex and vary across measurement procedures (MPs).
- Ensuring RMs perform consistently across different analytical methods is essential for reliable patient results.
Purpose of the Study:
- To describe a novel process for evaluating the commutability of reference materials (RMs).
- To establish a standardized method for assessing RM suitability as calibrators, trueness controls, or external quality assessment samples.
- To provide a robust framework for comparing RM performance against clinical samples (CSs) across multiple measurement procedures.
Main Methods:
- The process assesses commutability by analyzing the difference in bias between RMs and CSs using two or more MPs.
- A criterion based on medically relevant differences is used to conclude commutability.
- An error model is employed to estimate random and systematic error sources, including sample-specific interfering effects.
Main Results:
- The method quanties the difference in bias between an RM and the average bias of CSs at the RM's concentration.
- Uncertainty estimation for the bias difference is incorporated into the assessment.
- Commutability is demonstrated when the bias difference falls within the defined criterion for specific MPs.
Conclusions:
- The described process offers a reliable method for assessing RM commutability across diverse measurement procedures.
- This approach ensures RMs are fit for purpose, enhancing the accuracy and comparability of laboratory test results.
- The method accounts for complex error sources, improving the overall validity of reference material assessments.
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