interstitial lung disease
Conditions
Interventions
Participants will wear a wrist-worn wearable device and a pulse oximeter for two months from the start of the study. During the study period, participants will perform the 1-minute sit-to-stand test a
Sponsors
Nagoya University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: - Individuals diagnosed with interstitial lung disease at the time of enrollment, who are expected to survive for the duration of the study and are capable of exercising at home, or individuals judged to be healthy based on the results of a health check-up. - Individuals who are 40 years or older at the time of enrollment. - Individuals who own and can use a smartphone capable of installing the wearable device's app. - Individuals who have consented to participate in this study, or participants of a previously conducted study by TechDoctor Inc. who have consented to the secondary use of their data.
Exclusion criteria
Exclusion criteria: (1) Individuals who are not scheduled to undergo various tests, such as pulmonary function tests, conducted in this study. (2) Individuals who are undergoing home oxygen therapy or who may require it during the study period. (3) Individuals who have undergone lung resection surgery greater than a lobectomy by the time of enrollment. (4) Individuals for whom sufficient consultation and examinations to diagnose interstitial lung disease are not planned. (5) Individuals who cannot continuously wear wearable devices due to skin diseases or similar conditions. (6) Individuals whom the attending physician has deemed inappropriate for participation in this study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Compliance rate of wearable devices in patients with interstitial lung disease and healthy subjects. | — |
Secondary
| Measure | Time frame |
|---|---|
| In patients with interstitial lung disease and healthy individuals, the following comparisons will be made. 1. The relationship between self reported Quality of Life during activity and fluctuations in oxygen saturation and heart rate. 2. The amount of activity during physical exertion. 3. The relationship between daily activity and self reported Quality of Life. 4. Long term individual variability in wearable device data. 5. Variations in heart rate variability and oxygen saturation during sleep. 6. The relationship between auscultation data and physicians' auscultation findings. 7. Exercise adherence rate. 8. Completion rate and results of the questionnaire regarding subjective symptoms and the use of wearable devices. | — |
Countries
Japan
Contacts
Public ContactTaiki Furukawa
Nagoya University Hospital Medical IT Center
Outcome results
None listed