Chronic Cough Clinical Trial
Official title:
Validation Study With a Non-CE Marked Medical Device (MD)
Verified date | November 2023 |
Source | Siva Health AG |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This interventional study aims to validate the cough detection device by automatically and continuously measuring the cough frequency with SIVA-MVP among chronic cough patients and in a real-world environment.
Status | Enrolling by invitation |
Enrollment | 50 |
Est. completion date | August 2024 |
Est. primary completion date | August 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 21 Years and older |
Eligibility | Inclusion Criteria: - Informed Consent as documented by signature - Adult men and women at the date of signing the Informed Consent Form - Patients with a diagnosis or suspicion of refractory chronic cough or patients with a diagnosed asthma - Attending the treatment procedure as an outpatient - Comfortable with using a smartphone and willing to use an external iPhone daily for the duration of the study. - Adequate communication in US English (all study documentation and SIVA-MVP will be set to English language only). Exclusion Criteria: - Unable to make the decision to participate in a clinical study (e.g., seriously ill or unconscious subject, or subject with a mental or intellectual disability) - Inability to follow the procedures of the study, e.g., due to physical or intellectual impairment precluding informed consent or protocol adherence, psychological disorders (excluding depression) or dementia - Use of any other medical device equipment (e.g., portable oxygen concentrator, artificial cardiac pacemaker, implantable cardioverter-defibrillator) - Pregnancy: Female participants in child-bearing age without a negative pregnancy test (urine test). Female participants who are neither surgically sterilized / hysterectomized nor post-menopausal for longer than 2 years are considered to be of childbearing potential. - Known or suspected non-compliance, drug or alcohol abuse - Participation in another clinical study |
Country | Name | City | State |
---|---|---|---|
United States | Bellingham Asthma, Allergy & Immunology Clinic | Bellingham | Washington |
Lead Sponsor | Collaborator |
---|---|
Siva Health AG |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Performance of the SIVA-MVP cough detection device | Validation of a SIVA-MVP performance of detecting individual cough events in a target population over a 24-hour validation phase (first 24 hours after baseline visit). Sensitivity, specificity, and positive and negative predictive values contribute to a description of cough monitor performance. | First 24 hours | |
Secondary | Wearing comfort | Wearing Comfort will be determined through quantitative analysis of questions in the Participant User Feedback Questionnaire measured with 5-level Likert Scale (Disagree, Somewhat disagree, Neither agree nor disagree, Somewhat agree, Agree). | 2 weeks | |
Secondary | Number of potential adverse events, serious adverse events, device deficiency and serious device deficiency | Device safety measured as the number of potential adverse events, serious adverse events, device deficiency and serious device deficiency. | 2 weeks | |
Secondary | Comparison of objectively recorded (device) data and subjectively reported (patient) data measured with Leicester Cough Questionnaire and Cough Severity VAS | Correlation of patient reported outcomes measured with Leicester Cough Questionnaire and Cough Severity Visual Analog Scale (VAS) with recorded cough frequency during 14x24h. | At Baseline and at the end of 2 weeks | |
Secondary | Wearing time | Effective wearing times per day as recorded by the device. | 2 weeks | |
Secondary | Effective reply rate | Effective reply rate of patients to questions for context information asked to them via the smartphone application | 2 weeks | |
Secondary | Cough frequency patterns | Degree of similarity between cough patterns of different days within one patient and between patients. | 2 weeks |
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