This study is a single center observational study to investigate the association between biosignals from wearables and thyroid dysfunction.
An algorithm to predict thyroid dysfunction using heart rate and activity data from wearables was generated based on our previous clinical studies. This study was conducted to collect more data to advance the algorithm. Patients with thyroid dysfunction including hypothyroidism and thyrotoxicosis were eligible for this study. During the study period, each subject wears a smart band (Fitbit Inspire 2 TM) and gets 3 times of thyroid function tests with 1-month interval. Study participants will use a mobile app (Glandy TM) to collect the symptom scores.
Study Type
OBSERVATIONAL
Enrollment
120
Data collection from wearable devices (Fitbit Inspire 2 TM) and a mobile app (Glandy TM) Fitbit collects user's heart rate, activity, and sleep data. Glandy collects user's subjective symptom scores.
Seoul National University Bundang Hospital
Seongnam-si, Gyeonggi-do, South Korea
RECRUITINGfree T4
serum concentration of free T4
Time frame: visit 2: 1-2 weeks after enrollement (visit 1)
free T4
serum concentration of free T4
Time frame: visit 3 : 4 weeks after visit 2
free T4
serum concentration of free T4
Time frame: visit 4 : 4 weeks after visit 3
TSH
serum concentration of TSH
Time frame: visit 2: 1-2 weeks after enrollement (visit 1)
TSH
serum concentration of TSH
Time frame: visit 3 : 4 weeks after visit 2
TSH
serum concentration of TSH
Time frame: visit 4 : 4 weeks after visit 3
heart rate
continuously monitored heart rate by wearable device
Time frame: throughout the study period (average 3 months)
Activity_steps (count/min)
continuously monitored steps per minute by wearable device
Time frame: throughout the study period (average 3 months)
Sleep_sleep start time (yyyy:mm:dd:hh:mm:ss)
sleep start time extracted from continuously monitored sleep data by wearable device (e.q. 2021:03:15:23:00:00)
Time frame: throughout the study period (average 3 months)
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Sleep_sleep end time (yyyy:mm:dd:hh:mm:ss)
sleep end time extracted from continuously monitored sleep data by wearable device (e.q. 2021:03:16:06:00:00)
Time frame: throughout the study period (average 3 months)
Hyperthyroid symptom scale
HSS gives scores from 0 to 40, where higher scores indicate more severe disease. It consists of a 10-item scale that rates nervousness, diaphoresis, heat intolerance, motor activity, tremor, weakness, hyperdynamic precordium, diarrhea, weight loss/appetite, and overall function.
Time frame: visit 2: 1-2 weeks after enrollement (visit 1)
Zulewski's clinical score
Clinical scoring system for assessing hypothyroid symptoms and signs (0-12, higher scores indicate more severe)
Time frame: visit 2: 1-2 weeks after enrollement (visit 1)
Hyperthyroid symptom scale
HSS gives scores from 0 to 40, where higher scores indicate more severe disease. It consists of a 10-item scale that rates nervousness, diaphoresis, heat intolerance, motor activity, tremor, weakness, hyperdynamic precordium, diarrhea, weight loss/appetite, and overall function.
Time frame: visit 3 : 4 weeks after visit 2
Zulewski's clinical score
Clinical scoring system for assessing hypothyroid symptoms and signs (0-12, higher scores indicate more severe)
Time frame: visit 3 : 4 weeks after visit 2
Hyperthyroid symptom scale
HSS gives scores from 0 to 40, where higher scores indicate more severe disease. It consists of a 10-item scale that rates nervousness, diaphoresis, heat intolerance, motor activity, tremor, weakness, hyperdynamic precordium, diarrhea, weight loss/appetite, and overall function.
Time frame: visit 4 : 4 weeks after visit 3
Zulewski's clinical score
Clinical scoring system for assessing hypothyroid symptoms and signs (0-12, higher scores indicate more severe)
Time frame: visit 4 : 4 weeks after visit 3