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Assess the feasibility of using remote respiration rate monitoring as a component of home care, how respiration rate data may be used in combination with other data to potentially improve response to symptoms, and to generate data to inform the endpoints and effect sizes of future studies.
The research question is whether monitoring of respiration rates and variability can be helpful in management of COPD patients in conjunction with or separately from self-reported symptom scores using the COPD Co-PILOT application. Current techniques (such as patient's self-reported symptoms) have limited sensitivity and specificity with regard to predicting decompensation. Measurement of respiration parameters and the variability of the parameters may detect worsening COPD. Changes in respiration patterns may occur sufficiently far in advance of decompensation (e.g. >5 days prior to patient symptoms) such that it would allow an opportunity for earlier intervention with medical assessment and current therapeutic approaches.
The specific primary aim includes evaluation of the correlation of respiration rate parameters to indicators of healthcare utilization including drug changes, office or ER visits, hospitalization, or other clinical interventions. Secondary aims include evaluation of (i) the sensitivity and specificity of respiration rate monitoring results to predict COPD worsening requiring medical intervention, (ii) the sensitivity and specificity of respiration rate monitoring results in conjunction with COPD Co-PILOT scores or components to predict COPD worsening requiring medical intervention, and the correlation of respiration rate parameters to episode duration as defined by number of days from COPD Co-PILOT Score >1 to resolution (COPD Co-PILOT Score <1 for 7 consecutive days).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Respiration rate monitoring | Experimental | Reassure Non-Contact Respiration Monitor |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Reassure Non-Contact Respiration Monitor | Device | Reassure Respiration Monitor uses very low power radio waves to detect respiratory movements of a person while asleep in bed - without physical contact with the individual. Algorithms analyze the respiratory movement signals and extract information about respiration rate and variability. This data is uploaded to a secure cloud infrastructure for storage. |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation of Respiration Rate to Indicators of Healthcare Utilization | Indicators of healthcare utilization include change in medications for COPD, number of office or ER visits, number of hospitalizations. | 12 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity and Specificity of Respiration Rate to Predict COPD Worsening | Baseline to 12 weeks | |
| Sensitivity and Specificity of Respiration Rate in Conjunction with COPD Co-PILOT Scores to Predict COPD Worsening | 12 weeks |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Gerard Criner, MD | Temple University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| HGE Health Care Solutions | Philadelphia | Pennsylvania | 19129 | United States |
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Jun 1, 2021 | |
| Reset | Jun 22, 2021 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Jun 1, 2021 | Jun 22, 2021 |
| ID | Term |
|---|---|
| D029424 | Pulmonary Disease, Chronic Obstructive |
| ID | Term |
|---|---|
| D008173 | Lung Diseases, Obstructive |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D002908 | Chronic Disease |
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| Correlation of Respiration Rate to COPD Episode Duration | Episode duration is defined by number of days from COPD Co-PILOT Score >1 to resolution (COPD Co-PILOT Score <1 for 7 consecutive days) | 12 weeks |
| D020969 |
| Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |