Using Biovitals® Sentinel to Monitor Disease Progression in Subjects Quarantined for Suspected COVID-19

April 13, 2020 updated by: Ivan FN Hung MD, The University of Hong Kong

The novel coronavirus (COVID-19) emerged in December 2019, and in mere months has spread to more than 104 countries, resulting in an outbreak of viral pneumonia worldwide.

Current local quarantine policy in Hong Kong for individuals suspected for COVID-19 requires daily self-reported symptomatology and body temperature, given the intermittent nature and the high dependency of self-discipline undermine the practicality of the approach. To date, the advance in sensor technology has made possible to continuously monitor individual physiological parameters using a simple wearable device. Together with the mobile wearable technology that allowing instantaneous, multi-directional, and massive data transfer, remote continuous physiological monitoring is made possible. The Cardiology division, the Univeristy of Hong Kong has been in collaboration with Biofourmis to implement such technology for remote heart failure management. Similar digital therapeutic system can be applied to remotely monitor physiological parameters of large number of quarantined or suspected COVID-19 at home or in quarantine facility. It is purposed to allow the monitoring team to effectively and remotely monitor COVID-19 quarantined and patients, manage and evaluate the disease progression.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Detailed Description

Owing to the massive outbreak of COVID-19, as of March 9, 2020, the virus has reportedly caused 108,618 infections and 3,800 deaths globally. The World Health Organization (WHO) has declared COVID-19 disease a public health emergency of international concern. As there has yet been specific therapeutic or vaccine for the condition, rigorous implementation of traditional public health measures including isolation, quarantine, social distancing, and community containment is the principle strategy to control the COVID-19 epidemic. In addition to the isolation of confirmed COVID-19 infected patients from noninfected population, it is equally if not more important to quarantine asymptomatic individuals with possible exposure to COVID-19 in order to reduce the viral spread. Indeed, quarantine measures have been initiated in many countries and regions, which restrict movements of asymptomatic individuals with COVID-19 exposure often with fever and symptom surveillance at home or designated facilities for the presumed incubation period (14 days). While conceptually attractive, the intermittency and high dependency of selfdiscipline for body temperature and symptom surveillance undermine the practicality and effectiveness of the approach. Furthermore, it has been reported that as many as 50% of COVID-19 infected patients had not had fever until the full-blown disease, thereby body temperature surveillance per se may not be sufficient to detect early disease progression.

In the past few decades, advances in sensor technology miniaturize electronic physiological sensors that could be incorporated into wearable devices allowing continuous monitoring of physiological parameters such as skin temperature, heart rate, respiratory rate, oxygen saturation, perspiration and activity of ambulatory subjects in a 24/7 basis. Together with current telecommunication platform capable of instantaneous and multi-directional massive data transfer, it is possible to remotely monitor a large number of individual subjects' physiological parameters in a real-time manner, and relay to managing physicians for timely intervention. Nonetheless, such potentials have not been fully explored in the real-world disease management. The current study will assess the impact of remote continuous real-time physiological monitoring using wearable armband device Everion® (Biofourmis, Singapore) and artificial intelligence-powered analytical platform Biovitals® Sentinel (Biofourmis, Singapore) on detection of disease progression in asymptomatic subjects with COVID-19 exposure under mandatory quarantine at designated facilities in Hong Kong. The research hypothesis is that by processing continuous physiological data collected using wearable device Everion® and patient reported outcomes with a cloud-based analytics platform Biovitals® Sentinel, it will possible to detect physiological changes and other clinically meaningful alerts that indicate early clinical progression in quarantined subjects with COVID-19 exposure.

The wearable vital sign monitor Everion® is capable to track multiple vitals sings including heart rate, heart rate variability, blood pulse variation, respiration rate under rest, activity, steps, skin temperature and etc. It is Bluetooth connected to a dedicated study-smartphone that allows remote transfer of all the physiological data captured by the wearable device in real time. A specially-designed application (APP) on the study-smartphone enables the patient to participate in health monitoring by reporting symptoms regularly and make aware of his/her physical and physiological patterns via the monitoring displays on the smart-phone. The patient's passive physiological data from the device and the active data on the symptoms and outcomes from Biovitals® analytics platform are automatically transferred to the monitoring console on the cloud. Thus, the Biofourmis platform solution is proposed to allow the monitoring team to effectively and remotely monitor COVID-19 patients and evaluate the disease progression. Leveraging Everion, the smartphone APP, Biovitals® analytics platform and the caregiver dashboard, biofourmis has built an end to end solution, Biovitals® Sentinel to remote monitor and manage the suspected subjects.

Study Type

Interventional

Enrollment (Anticipated)

200

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Hong Kong, Hong Kong
        • Recruiting
        • The University of Hong Kong, Queen Mary Hospital
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Adult subjects ≥18 years of age
  • Quarantined as suspected COVID-19
  • Asymptomatic upon enrolment
  • All subjects give written informed consent

Exclusion Criteria:

- Failure to provide written informed consent

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Biovitals
Continuous physiological monitoring using Biovitals platform including (1) armband with multiple physiological sensor, (2) remote monitoring, and (3) Analytic platform. The arm will be worn 23 hours a day and off for 1 hour during showering for recharging battery during 24 hr quarantine period
Biovitals platform including (1) armband with multiple physiological sensor, (2) remote monitoring, and (3) Analytic platform. The arm will be worn 23 hours a day and off for 1 hour during showering for recharging battery during 24 hr quarantine period
No Intervention: Control
Usual standard care

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Time to diagnosis of COVID-19 by RT-PCR in subjects
Time Frame: within 14 days
Time from quarantine to diagnosis of COVID-19
within 14 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Compliance to complete the study
Time Frame: within 14 days
Adherence to device
within 14 days
Sensitivity and specificity of Biovitals® Sentinel
Time Frame: within 14 days
To identify COVID19 subjects
within 14 days
Cross infection rate within the family cluster
Time Frame: within 14 days
% of family members infection
within 14 days
Length of hospital stay of positive subjects
Time Frame: 1 year at study completion
Length of hospital stay
1 year at study completion
Length of ICU stay of positive patients
Time Frame: 1 year at study completion
Length of ICU stay
1 year at study completion
National Early Warning Score 2 rating of positive patients
Time Frame: 4 weeks from diagnosis
Vital signs of positive patients
4 weeks from diagnosis
Viral load of positive patients
Time Frame: 4 weeks from diagnosis
Virology laboratory result of nasopharyngeal swab
4 weeks from diagnosis
Worsening of comorbidities
Time Frame: 1 year at study completion
Worsening of comorbidities
1 year at study completion
Mortality
Time Frame: 1 year at study completion
Mortality
1 year at study completion

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: David Siu, MD FRCP, HKU

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 1, 2020

Primary Completion (Anticipated)

December 31, 2021

Study Completion (Anticipated)

January 31, 2022

Study Registration Dates

First Submitted

February 20, 2020

First Submitted That Met QC Criteria

April 9, 2020

First Posted (Actual)

April 13, 2020

Study Record Updates

Last Update Posted (Actual)

April 15, 2020

Last Update Submitted That Met QC Criteria

April 13, 2020

Last Verified

April 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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