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Original Article
- Thyroid
- Association between Thyroid Function and Heart Rate Monitored by Wearable Devices in Patients with Hypothyroidism
- Ki-Hun Kim, Juhui Lee, Chang Ho Ahn, Hyeong Won Yu, June Young Choi, Ho-Young Lee, Won Woo Lee, Jae Hoon Moon
- Endocrinol Metab. 2021;36(5):1121-1130. Published online October 21, 2021
- DOI: https://doi.org/10.3803/EnM.2021.1216
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- 4 Web of Science
- 3 Crossref
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Abstract
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Supplementary Material
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ePub - Background
Heart rate (HR) monitored by a wearable device (WD) has demonstrated its clinical feasibility for thyrotoxicosis subjects. However, the association of HR monitored by wearables with hypothyroidism has not been examined. We assessed the association between serum thyroid hormone concentration and three WD-HR parameters in hypothyroid subjects.
Methods
Forty-four subjects scheduled for radioactive iodine therapy (RAI Tx) after thyroid cancer surgery were included. Thirty subjects were prepared for RAI Tx by thyroid hormone withdrawal (hypothyroidism group) and 14 subjects by recombinant human thyrotropin (control group). Three WD-HR parameters were calculated from the HR data collected during rest, during sleep, and from 2:00 AM to 6:00 AM, respectively. We analyzed the changes in conventionally measured resting HR (On-site rHR) and WDHR parameters relative to thyroid hormone levels.
Results
Serum free thyroxine (T4) levels, On-site rHR, and WD-HR parameters were lower in the hypothyroid group than in the control group at the time of RAI Tx. WD-HR parameters also reflected minute changes in free T4 levels. A decrease in On-site rHR and WD-HR parameters by one standard deviation (On-site rHR, approximately 12 bpm; WD-HR parameters, approximately 8 bpm) was associated with a 0.2 ng/dL decrease in free T4 levels (P<0.01) and a 2-fold increase of the odds ratio of hypothyroidism (P<0.01). WD-HR parameters displayed a better goodness-of-fit measure (lower quasi-information criterion value) than On-site rHR in predicting the hypothyroidism.
Conclusion
This study identified WD-HR parameters as informative and easy-to-measure biomarkers to predict hypothyroidism. -
Citations
Citations to this article as recorded by
- Application of wearables for remote monitoring of oncology patients: A scoping review
Katharina Cloß, Marlo Verket, Dirk Müller-Wieland, Nikolaus Marx, Katharina Schuett, Edgar Jost, Martina Crysandt, Fabian Beier, Tim H Brümmendorf, Guido Kobbe, Julia Brandts, Malte Jacobsen
DIGITAL HEALTH.2024;[Epub] CrossRef - Thyroid hormone action during GABAergic neuron maturation: The quest for mechanisms
Sabine Richard, Juan Ren, Frédéric Flamant
Frontiers in Endocrinology.2023;[Epub] CrossRef - A machine learning-assisted system to predict thyrotoxicosis using patients’ heart rate monitoring data: a retrospective cohort study
Kyubo Shin, Jongchan Kim, Jaemin Park, Tae Jung Oh, Sung Hye Kong, Chang Ho Ahn, Joon Ho Moon, Min Joo Kim, Jae Hoon Moon
Scientific Reports.2023;[Epub] CrossRef
- Application of wearables for remote monitoring of oncology patients: A scoping review
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