WAVE. Wearable-based COVID-19 Markers for Prediction of Clinical Trajectories
NCT ID: NCT04357834
Last Updated: 2021-08-26
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
46 participants
OBSERVATIONAL
2020-10-22
2021-06-30
Brief Summary
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Detailed Description
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The investigators aim at developing a wearable-based ICU algorithm for inpatients contracted with SARS-CoV-2. Inpatients on the general ward with suspicion of COVID-19 or with confirmed SARS-CoV-2 infection will be included. The participant will be equipped with a smartwatch and wear the device throughout the hospital stay until the patient (1) is discharged home, (2) is transferred to the ICU, or (3) palliative care is initiated. The smartwatch collects several physiological parameters (e.g. heart rate, heart rate variability, respiration rate, oxygen saturation). The collected data will be used to develop an ICU prediction algorithm to detect patients at risk of an acute COVID-19 deterioration that requires ICU.
Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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Smartwatch group
Equipment with smartwatch throughout hospital stay on the general ward
Participants with confirmed SARS-CoV-2 infection or suspicion of COVID-19 will be equipped with a smartwatch and wear the device throughout the hospital stay on the general ward.
Interventions
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Equipment with smartwatch throughout hospital stay on the general ward
Participants with confirmed SARS-CoV-2 infection or suspicion of COVID-19 will be equipped with a smartwatch and wear the device throughout the hospital stay on the general ward.
Eligibility Criteria
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Inclusion Criteria
* Age \>= 18 years
* Suspicion of COVID-19 or patient tested positive for SARS-CoV-2
* Hospitalisation on the general ward
Exclusion Criteria
* Direct transfer from the emergency department or external institution to ICU (i.e. no hospitalization on the general ward)
* Known allergies to components of the smartwatch
* Rejection of ICU transfer in the patient decree
18 Years
120 Years
ALL
No
Sponsors
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ETH Zurich
OTHER
Insel Gruppe AG, University Hospital Bern
OTHER
Responsible Party
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Principal Investigators
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Aristomenis Extradaktylos, Prof. MD
Role: STUDY_CHAIR
University Hospital Bern - Department of Emergency Medicine
Locations
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Emergency Department, University Hospital Bern, Inselspital
Bern, , Switzerland
Countries
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References
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Foll S, Lison A, Maritsch M, Klingberg K, Lehmann V, Zuger T, Srivastava D, Jegerlehner S, Feuerriegel S, Fleisch E, Exadaktylos A, Wortmann F. A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development. JMIR Form Res. 2022 Jun 21;6(6):e35717. doi: 10.2196/35717.
Other Identifiers
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WAVE
Identifier Type: -
Identifier Source: org_study_id
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