WAVE. Wearable-based COVID-19 Markers for Prediction of Clinical Trajectories
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- COVID
- COVID-19
- Sars Cov 2
- Type
- Observational
- Design
- Observational Model: OtherTime Perspective: Prospective
Participation Requirements
- Age
- Between 18 years and 120 years
- Gender
- Both males and females
Description
The SARS-CoV-2 pandemic puts an unprecedented burden on the healthcare system, specifically its healthcare providers and the resource demands for intensive care units (ICUs). To support effective care despite large case numbers, hospital operations urgently need improved decision support in early id...
The SARS-CoV-2 pandemic puts an unprecedented burden on the healthcare system, specifically its healthcare providers and the resource demands for intensive care units (ICUs). To support effective care despite large case numbers, hospital operations urgently need improved decision support in early identification of patients at risk of an acute COVID-19 deterioration that requires ICU. 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.
Tracking Information
- NCT #
- NCT04357834
- Collaborators
- ETH Zurich
- Investigators
- Study Chair: Aristomenis Extradaktylos, Prof. MD University Hospital Bern - Department of Emergency Medicine