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Parathyroid hormone: Data mining for age-related reference intervals in adults
Christopher-John L Farrell1, Lan Nguyen1, Andrew C Carter1
1Department of Clinical Chemistry, Laverty Pathology, North Ryde, NSW, Australia.
Clinical Endocrinology
|September 27, 2017
Summary
Age-related reference intervals for parathyroid hormone (PTH) were established using data mining. Older adults showed higher PTH levels, necessitating age-specific intervals for accurate interpretation.
Area of Science:
- Endocrinology
- Clinical Chemistry
- Gerontology
Background:
- Parathyroid hormone (PTH) levels change with age in adults.
- Traditional methods limit defining age-specific reference intervals for PTH.
- Data mining offers a novel approach to establish these intervals.
Purpose of the Study:
- To derive age-related parathyroid hormone (PTH) reference intervals using a data mining approach.
- To investigate the association between age and PTH concentrations in adults.
- To assess the adequacy of a single PTH reference interval across all adult age groups.
Main Methods:
- Retrospective analysis of PTH testing data from 33,652 adult patients over 4 years.
- Inclusion criteria: age ≥ 18 years, simultaneous PTH, calcium, eGFR, and 25-OHD measurements.
- Bhattacharya analysis of log-transformed data to derive age-specific PTH reference intervals.
Main Results:
- Older age was associated with higher PTH concentrations in subjects with optimal 25-hydroxyvitamin D (25-OHD) status.
- Age-related reference intervals revealed a 63% increase in limits from youngest to oldest age groups.
- A single, universal PTH reference interval was deemed unsatisfactory for all ages.
Conclusions:
- Data mining is effective for establishing age-related PTH reference intervals.
- Increasing age correlates with higher PTH levels.
- Age-specific PTH reference intervals are crucial for precise interpretation of results.
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