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A proof-of-concept practical approach for achieving equivalent results from non-harmonized measurement methods while
Hikmet Can Çubukçu1, Oğuzhan Zengi2, Hamit Hakan Alp3
1Rare Diseases Department, General Directorate of Health Services, Turkish Ministry of Health, Ankara, Turkey; Department of Medical Biochemistry, Sincan Training and Research Hospital, Ankara, Turkey.
A new method harmonizes laboratory test results between different assays, significantly reducing discrepancies. This improves patient monitoring by ensuring consistent diagnostic data across various measurement systems.
Area of Science:
- Clinical chemistry
- Laboratory medicine
- Metrology in diagnostics
Background:
- Inconsistent laboratory test results hinder clinical decisions due to a lack of measurement harmonization.
- Higher-order references are often unavailable, leading to comparability issues across different diagnostic assays.
Purpose of the Study:
- To introduce and validate a method for improving the comparability of laboratory test results from different measurement systems.
- To provide a solution for consistent test result interpretation until full metrological harmonization is achieved.
Main Methods:
- Developed a linear transformation formula using 2.5th and 97.5th percentiles from source and target methods.
- Tested the formula with carbohydrate antigen 125 (CA 125) data from Roche and Abbott assays.
- Evaluated effectiveness using difference plots and Passing-Bablok regression, and developed a web application for the process.
Main Results:
- Initial median relative difference between CA 125 assays was 37.7%, with a slope of 1.450.
- After transformation, the median relative difference reduced to 6.0%, within acceptable bias goals.
- Regression slope and intercept improved significantly, indicating enhanced result comparability.
Conclusions:
- The proposed linear transformation method effectively enhances the comparability of results between different diagnostic assays.
- This approach enables more consistent interpretation of patient test results during follow-up care.
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