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- W3048459382 abstract "Abstract 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." @default.
- W3048459382 created "2020-08-18" @default.
- W3048459382 creator A5034012268 @default.
- W3048459382 date "2020-11-01" @default.
- W3048459382 modified "2023-09-26" @default.
- W3048459382 title "TSH continuous reference intervals by indirect methods: A Comparisons to Partitioned Reference Intervals" @default.
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- W3048459382 doi "https://doi.org/10.1016/j.clinbiochem.2020.08.003" @default.
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