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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.
Objective:
To establish continuous reference intervals for TSH by data mining, using quantile regression with restricted cubic splines model.
Design And Method:
TSH results (n=13,333) were collected for a four years period (between March 2015 and February 2020). After an exclusion step, TSH results (n=8838) were used to derive continuous reference intervals (i.e. 2.5th and 97.5th percentiles) spanning 18-90 years of age, using quantile regression with restricted cubic splines (RCS) model, then compared to age-partitioned reference intervals generated by Bhattacharya analysis.
Results:
Despite similar reference intervals to the Bhattacharya analysis, continuous reference intervals appeared to give a more accurate and consistent estimation of the upper reference limits (i.e.97.5thpercentiles) with complex age-related variations in serum TSH concentrations.
Conclusion:
Our results suggest that quantile regression with RCS model appears to be a very useful tool available for clinical laboratories to establish local continuous TSH reference intervals.
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