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Clin Biochem. 2018 Sep;60:59-63. doi: 10.1016/j.clinbiochem.2018.08.008. Epub 2018 Aug 18.

Data mining: Seasonal and temperature fluctuations in thyroid-stimulating hormone.

Author information

1
Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, China.
2
Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, China.. Electronic address: lingqiubj@163.com.
3
Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, China.. Electronic address: lianlanx@126.com.

Abstract

BACKGROUND:

Thyroid-stimulating hormone (TSH) plays a key role in maintaining normal thyroid function. Here, we used "big data" to analyze the effects of seasonality and temperature on TSH concentrations to understand factors affecting the reference interval.

METHODS:

Information from 339,985 patients at Peking Union Medical College Hospital was collected from September 1st, 2013, to August 31st, 2016, and retrospectively analyzed. A statistical method was used to exclude outliers, with data from 206,486 patients included in the final analysis. The research period was divided into four seasons according to the National Weather Service. Correlations between TSH concentrations and season and temperature were determined.

RESULTS:

Median TSH levels during spring, summer, autumn, and winter were 1.88, 1.86, 1.87, and 1.96 μIU/L, respectively. TSH fluctuation was larger in winter (±0.128) than in summer (±0.125). After normalizing the data from each year to the lowest TSH median value (summer), TSH appeared to peak in winter and trough in summer, showing a negative correlation with temperature. Pearson correlation analysis indicated that the monthly median TSH values were negatively correlated with temperature (r = -0.663, p < .001).

CONCLUSIONS:

This study showed significant seasonal- and temperature-dependent variation in TSH concentrations. Thus, these might be important factors to consider when diagnosing thyroid function disorders.

KEYWORDS:

Big data; Reference interval; Seasonal variation; Temperature-dependent; Thyroid-stimulating hormone

[Indexed for MEDLINE]

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