Key result
A 1 standard deviation decrease in resting heart rate measured by a wearable device was associated with a 2.56-fold increased odds of hypothyroidism.
Why the study?
Heart rate monitored by wearable devices showed clinical feasibility in thyrotoxicosis, but its association with hypothyroidism had not been examined.
Does heart rate monitored by wearable devices correlate with thyroid hormone levels and predict hypothyroidism in patients prepared for radioactive iodine therapy?
Observational (n=44)
No
Does heart rate monitored by wearable devices correlate with thyroid hormone levels and predict hypothyroidism in patients prepared for radioactive iodine therapy?
Heart rate parameters monitored by wearable devices can serve as informative and easy-to-measure biomarkers to predict hypothyroidism.
Answers are grounded in this paper and cite their sources.
May aid wearable HR monitoring in hypothyroid patients; hypothesis-generating and requires prospective validation before practice change.
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.
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Kim et al. (2021) conducted an observational in Hypothyroidism (post-thyroidectomy) (n=44). 1 SD decrease in wearable device resting heart rate (WD-rHR) vs. Baseline resting heart rate was evaluated on Hypothyroidism (OR 2.565, p=<0.001). A 1 standard deviation decrease in resting heart rate measured by a wearable device was associated with a 2.56-fold increased odds of hypothyroidism.
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