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TSH continuous reference intervals by indirect methods: A Comparisons to Partitioned Reference Intervals
1Pasteur Institute of Algeria, Department of Immunology, Annex of M'sila, Algeria.
Clinical Biochemistry
|August 16, 2020
Summary
This study introduces a new method for establishing continuous reference intervals for thyroid-stimulating hormone (TSH) using quantile regression. This approach provides more accurate age-related TSH estimations for clinical laboratories.
Area of Science:
- Clinical biochemistry
- Endocrinology
- Statistical modeling
Background:
- Thyroid-stimulating hormone (TSH) reference intervals are crucial for diagnosing thyroid dysfunction.
- Traditional age-partitioned intervals may not accurately reflect age-related TSH variations.
Purpose of the Study:
- To establish continuous reference intervals for TSH across a wide age range (18-90 years).
- To evaluate the utility of quantile regression with restricted cubic splines (RCS) for this purpose.
Main Methods:
- Data mining of 8838 TSH results collected over four years.
- Application of quantile regression with RCS to derive continuous 2.5th and 97.5th percentile intervals.
- Comparison with age-partitioned intervals from Bhattacharya analysis.
Main Results:
- Continuous reference intervals showed accurate and consistent estimation of upper TSH limits.
- The model captured complex age-related variations in serum TSH concentrations.
- Results were comparable to, yet more refined than, Bhattacharya analysis intervals.
Conclusions:
- Quantile regression with RCS is a valuable tool for clinical laboratories.
- This method facilitates the establishment of local, continuous TSH reference intervals.
- It offers improved accuracy in reflecting age-specific TSH levels.
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