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Data mining: Seasonal and temperature fluctuations in thyroid-stimulating hormone
Danchen Wang1, Xinqi Cheng1, Songlin Yu1
1Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, China.
Clinical Biochemistry
|August 22, 2018
Summary
Seasonal and temperature variations significantly impact thyroid-stimulating hormone (TSH) levels. Understanding these factors is crucial for accurate thyroid function diagnosis and establishing appropriate reference intervals.
Area of Science:
- Endocrinology
- Clinical Chemistry
- Environmental Health
Background:
- Thyroid-stimulating hormone (TSH) is essential for normal thyroid function.
- Reference intervals for TSH may be influenced by external factors.
- Big data analysis can reveal subtle variations in hormone levels.
Purpose of the Study:
- To investigate the impact of seasonality and ambient temperature on TSH concentrations.
- To identify factors influencing TSH reference intervals.
- To understand seasonal variations in thyroid function markers.
Main Methods:
- Retrospective analysis of TSH data from 206,486 patients.
- Data collected from Peking Union Medical College Hospital (2013-2016).
- Statistical methods used to analyze correlations between TSH, season, and temperature.
Main Results:
- TSH levels exhibited seasonal variation, peaking in winter and troughing in summer.
- TSH concentrations showed a significant negative correlation with ambient temperature (r = -0.663, p < .001).
- TSH fluctuation was greater in winter compared to summer.
Conclusions:
- TSH concentrations demonstrate significant seasonal and temperature-dependent variability.
- Season and temperature are important considerations for diagnosing thyroid disorders.
- These findings may necessitate adjustments to TSH reference intervals based on environmental factors.
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