Last reviewed · How we verify
NCT03635710
Smartphone Enabled Detection of Nocturnal Cough Rate and Sleep Quality as a Prognostic Marker for Asthma Control
trial testing The patient will undergo no intervention in Asthma in 94 participants. Completed in 31 December 2019.
31 December 2019
Quick facts
| Lead sponsor | Cantonal Hospital of St. Gallen |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 94 |
| Start date | 1 January 2018 |
| Primary completion | 31 December 2019 |
| Estimated completion | 31 December 2019 |
| Sites | 3 locations across Switzerland |
Drugs / interventions tested
- The patient will undergo no intervention
Conditions studied
Sponsor
Cantonal Hospital of St. Gallen
Who can join
18 and older, any sex, with Asthma or Cough. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The purpose of the study is to explore the value which cough rate might provide for asthma self-management. In this study, the focus will be specifically on nocturnal cough rate. The plan is to use a longitudinal study design, in order to investigate to which extent trends in the nocturnal cough rates might have meaningful implications for future asthma control and asthma exacerbations of patients. The incidence of nocturnal cough in asthmatics will be described and visualized over the course of one month in the first stage of the study. Additionally, the aim will be to identify and model trends in nocturnal cough rates. Measuring cough is very time-consuming. Currently, there are no cough frequency monitors available, which measure cough rates in a fully automated and unobtrusive way. Consequently, manual labeling of cough based on video or sound recordings is still considered to be the gold standard for measuring cough rates by medical guidelines. Recently, a machine learning algorithm was successfully designed to automatically detect cough in a proof of concept study. This machine learning algorithm will be further developed in order to provide robust results in the field. The focus of this study will be the cough during the night time due to the limited interfering noise, which greatly facilitates manual labeling and enables a more reliable detection rate of the machine learning algorithm. Apart from developing a machine learning algorithm for cough detection, data will be gathered for the assessment of patient's sleep quality based on data obtained from smartphone's sensors.
Publications & conference data
3 peer-reviewed publications reference this trial (live from Europe PMC):
-
Nocturnal Cough and Sleep Quality to Assess Asthma Control and Predict Attacks.
Tinschert P, Rassouli F, Barata F, Steurer-Stey C, et al · · 2020 · cited 23× · PMID 33363391 · DOI 10.2147/jaa.s278155 -
Characteristics of Asthma-related Nocturnal Cough: A Potential New Digital Biomarker.
Rassouli F, Tinschert P, Barata F, Steurer-Stey C, et al · · 2020 · cited 18× · PMID 33299332 · DOI 10.2147/jaa.s278119 -
Prevalence of nocturnal cough in asthma and its potential as a marker for asthma control (MAC) in combination with sleep quality: protocol of a smartphone-based, multicentre, longitudinal observational study with two stages.
Tinschert P, Rassouli F, Barata F, Steurer-Stey C, et al · · 2019 · cited 15× · PMID 30617104 · DOI 10.1136/bmjopen-2018-026323
Verify or expand the search:
- PubMed search for NCT03635710
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Asthma
Currently open trials in the same condition.
- NCT07525375 — A Phase II Study to Investigate Lung Function With 2 Different Doses of Inhaled Glycopyrronium Taken With BFF Compared t · Phase 2 · recruiting
- NCT07536256 — Community Connections Through Native Hawaiian Cultural Values to Strengthen Youth Resilience, Health, and Well-Being · NA · recruiting
- NCT07556159 — A Study Evaluating Disease Characteristics and Outcomes in Participants With Asthma in Routine Clinical Practice · recruiting
- NCT07282886 — VENTURI (VENTilation Using Respiratory Imaging) · Phase 2 · recruiting
- NCT07433569 — A Study to Investigate How Budesonide and Formoterol Move Through the Body (Pharmacokinetics) When Delivered With Differ · Phase 1 · recruiting
Other Cantonal Hospital of St. Gallen trials
Trials by the same sponsor.
- NCT07483112 — Fiber-Boost Randomized Controlled Trial · NA · recruiting
- NCT06279000 — Colchicine in Patients at Cardiac Risk Undergoing Major Non-Cardiac Surgery · Phase 3 · recruiting
- NCT06703814 — PROtective Ventilation With FLOW-Controlled Ventilation · NA · recruiting
- NCT06256900 — Flow Controlled Ventilation in Robot-assisted Laparoscopic Surgery · NA · withdrawn
- NCT06505863 — Quality of Life After Transanal Total Mesorectal Excision Compared to Traditional Total Mesorectal Excision · completed
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03635710 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Cantonal Hospital of St. Gallen
- Last refreshed: 27 January 2020
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03635710.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing