Cough Clinical Trial
Official title:
Clinical Validation of the Hyfe Cough Monitoring System
Verified date | September 2023 |
Source | Hyfe Inc |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
This is a multicenter observational study and will include individuals with a variety of cough related conditions including but not limited to refractory chronic cough, Chronic Obstructive Pulmonary Disease (COPD) and non-tuberculous mycobacteria. The primary objective of this study is to assess the overall performance of the Hyfe Cough Monitoring System (HCMS, Hyfe Inc., 2022) when used by individuals with problematic cough, under common living conditions.The monitoring period for outpatients will be 24 hours.
Status | Active, not recruiting |
Enrollment | 21 |
Est. completion date | December 15, 2023 |
Est. primary completion date | November 15, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 21 Years and older |
Eligibility | Inclusion Criteria: 1. Age 21 years old or above 2. Individuals seeking health care, who express concern about their active cough (problematic cough) 3. Anticipate that they can collect auditory recording and keep the devices with them continuously for 24 hours. 4. Residing in a domestic environment without unusually high and / or persistent background sound levels . 5. Willing to wear a watch an audio recorder and keep them at bedside (within 3 ft) from the mouth during the night. Exclusion Criteria: 1. Inability to accept the privacy policy and terms of use of HCMS due to confidentiality or other concerns. 2. Inability to avoid unusually prolonged loud environments for the duration of the 24-hour study period. 3. Need to conduct confidential conversations during the 24-hour monitoring period 4. Individuals who have had significant change in antitussive therapy in the week preceding study. |
Country | Name | City | State |
---|---|---|---|
Spain | Clínica Universidad de Navarra | Navarro | |
United States | Oregon Health Science University | Oregon City | Oregon |
United States | Hyfe North American Clinical Office | Seattle | Washington |
Lead Sponsor | Collaborator |
---|---|
Hyfe Inc |
United States, Spain,
Barton A, Gaydecki P, Holt K, Smith JA. Data reduction for cough studies using distribution of audio frequency content. Cough. 2012 Dec 12;8(1):12. doi: 10.1186/1745-9974-8-12. — View Citation
Decalmer SC, Webster D, Kelsall AA, McGuinness K, Woodcock AA, Smith JA. Chronic cough: how do cough reflex sensitivity and subjective assessments correlate with objective cough counts during ambulatory monitoring? Thorax. 2007 Apr;62(4):329-34. doi: 10.1136/thx.2006.067413. Epub 2006 Nov 13. — View Citation
Gabaldon-Figueira JC, Brew J, Dore DH, Umashankar N, Chaccour J, Orrillo V, Tsang LY, Blavia I, Fernandez-Montero A, Bartolome J, Grandjean Lapierre S, Chaccour C. Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study. BMJ Open. 2021 Jul 2;11(7):e051278. doi: 10.1136/bmjopen-2021-051278. — View Citation
Leconte S, Ferrant D, Dory V, Degryse J. Validated methods of cough assessment: a systematic review of the literature. Respiration. 2011;81(2):161-74. doi: 10.1159/000321231. Epub 2010 Nov 13. — View Citation
Matos S, Birring SS, Pavord ID, Evans DH. An automated system for 24-h monitoring of cough frequency: the leicester cough monitor. IEEE Trans Biomed Eng. 2007 Aug;54(8):1472-9. doi: 10.1109/TBME.2007.900811. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Hyfe Cough Monitoring System (HCMS) accuracy using Pearson correlation coefficient | The HCMS timestamps coughs as they occur. Hourly counts of cough events will be compared with ground truth hourly counts determined by trained human annotators, who will listen to audio recordings and timestamp each cough using proprietary labeling software.
If human annotators and the HCMS agreed perfectly, their paired hourly counts would lie on the line y=x (ground truth on the x-axis, HCMS on the y-axis). Agreement with this ideal line quantifies HCMS performance: the Pearson correlation coefficient must be close to 1 By comparison with ground truth annotations, each HCMS timestamp is either a true positive or a false positive; by the usual formula, HCMS Sensitivity = Number of true positives Total number of coughs where the denominator is determined by ground truth. |
Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours, and cough events will be tabulated hourly. Each participant will thus contribute 24 data points to the calculation of the primary outcome measures. | |
Primary | Hyfe Cough Monitoring System (HCMS) accuracy using OLS slope/intercept | The HCMS timestamps coughs as they occur. Hourly counts of cough events will be compared with ground truth hourly counts determined by trained human annotators, who will listen to audio recordings and timestamp each cough using proprietary labeling software.
If human annotators and the HCMS agreed perfectly, their paired hourly counts would lie on the line y=x (ground truth on the x-axis, HCMS on the y-axis). Agreement with this ideal line quantifies HCMS performance: the slope and intercept of the OLS line of best fit must be close to 1 and 0, respectively. By comparison with ground truth annotations, each HCMS timestamp is either a true positive or a false positive; by the usual formula HCMS Sensitivity = Number of true positives Total number of coughs where the denominator is determined by ground truth. |
Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours, and cough events will be tabulated hourly. Each participant will thus contribute 24 data points to the calculation of the co-primary outcome measures | |
Primary | Hyfe Cough Monitoring System (HCMS) sensitivity of cough detection | The HCMS timestamps coughs as they occur. Hourly counts of cough events will be compared with ground truth hourly counts determined by trained human annotators, who will listen to audio recordings and timestamp each cough using proprietary labeling software.
By comparison with ground truth annotations, each HCMS timestamp is either a true positive or a false positive; by the usual formula HCMS Sensitivity = Number of true positives Total number of coughs where the denominator is determined by ground truth. |
Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours, and cough events will be tabulated hourly. Each participant will thus contribute 24 data points to the calculation of the co-primary outcome measures. | |
Primary | Hyfe Cough Monitoring System (HCMS) false positivity rate | The HCMS timestamps coughs as they occur. Hourly counts of cough events will be compared with ground truth hourly counts determined by trained human annotators, who will listen to audio recordings and timestamp each cough using proprietary labeling software.
The false positive rate is the total number of false positives divided by the total number of monitoring hours. |
Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours, and cough events will be tabulated hourly. Each participant will thus contribute 24 data points to the calculation of the co-primary outcome measures. | |
Secondary | Differential analysis of nighttime versus daytime HCMS performance | Given the value of monitoring cough only during the day or only at night, a secondary analysis will compare HCMS performance during these periods; "nighttime" is defined as time spent in bed and "daytime" is defined as time not spent in bed. When going to bed, subjects will note their bedtimes carefully and will place the HCMS and monitor in chargers by the bed; reported bedtimes will be validated against the charging times recorded by the watches. The accuracy metrics defined above will then be calculated separately for subjects' daytime and nighttime monitoring periods. | Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours. All of the coughs timestamped by trained human annotators and by the Hyfe Cough Monitoring System will be used to calculate the second | |
Secondary | Differential analysis of HCMS performance for individual subjects | HCMS performance will vary from subject to subject; in particular, the HCMS may fail to recognize extremely unusual coughs or may perform differently with challenging acoustic backgrounds. Trained human annotators face similar issues, leading to disputed annotations that will be resolved by a third expert annotator.
To understand the impact of atypical coughers on HCMS performance, the accuracy metrics defined earlier will be calculated separately for each individual participant. The distributions of these accuracy metrics will be investigated and summarized, and a post hoc analysis of audio from those subjects with exceptionally poor performance will be done to determine the causes of degraded performance. |
Each participant will be monitored continuously with the audio recorder and the Hyfe Cough Monitoring System for 24 hours. All of the coughs timestamped by trained human annotators and by the HCMS will be used to calculate the seco | |
Secondary | Dependence of HCMS performance on individual cough rates | It is possible that HCMS performance could depend on the frequency with which different subjects cough. To assess the impact of this variable, subjects will be stratified into tertiles according to their average cough rates; a subject's average cough rate is that individual's total number of coughs divided by the number of hours of monitoring. The performance metrics defined above will be calculated separately for these tertiles and compared. | Each participant will be monitored continuously with the audio recorder and the Hyfe Cough Monitoring System for 24 hours. All of the coughs timestamped by trained human annotators and by the HCMS will be used to calculate the seco |
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