NCT04459637

Brief Summary

This is a prospective, multi-center cohort study. 200 subjects with COVID-19will be included . Wearable device's physiological parameters and clinical data will be continually collected , the investigators aim to explore whether using smart wearable devices is useful to early alerting deterioration of COVID-19.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
103

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Aug 2020

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 25, 2020

Completed
12 days until next milestone

First Posted

Study publicly available on registry

July 7, 2020

Completed
26 days until next milestone

Study Start

First participant enrolled

August 2, 2020

Completed
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 12, 2020

Completed
7 months until next milestone

Study Completion

Last participant's last visit for all outcomes

April 15, 2021

Completed
Last Updated

March 28, 2022

Status Verified

March 1, 2022

Enrollment Period

1 month

First QC Date

June 25, 2020

Last Update Submit

March 24, 2022

Conditions

Keywords

COVID-19 Surveillance Smart wearable device

Outcome Measures

Primary Outcomes (1)

  • Deterioration of the condition

    Deterioration of the condition: refer to Guidelines for the Diagnosis and Treatment of Novel Coronavirus Infection by the National Health Commission (Trial Version 7) 1. The development from asymptomatic to mild/general-type 2. The development from mild to general-type/severe type 3. The development from general-type to severe/critical type 4. The development from severe to critical type

    30 minutes

Secondary Outcomes (2)

  • Mortality

    14days and/or 28days

  • The information analysis degree, the proportion of signal loss, the proportion of wrong signal,

    30 minutes

Study Arms (5)

Asymptomatic group

Definition of asymptomatic disease:refer to Guidelines for the Diagnosis and Treatment of Novel Coronavirus Infection by the National Health Commission (Trial Version 7)

Mild group

Definition of mild disease:refer to Guidelines for the Diagnosis and Treatment of Novel Coronavirus Infection by the National Health Commission (Trial Version 7)

general-type group

Definition of general-type disease:refer to Guidelines for the Diagnosis and Treatment of Novel Coronavirus Infection by the National Health Commission (Trial Version 7)

severe group

Definition of severe disease:refer to Guidelines for the Diagnosis and Treatment of Novel Coronavirus Infection by the National Health Commission (Trial Version 7)

critical group

Definition of critical disease:refer to Guidelines for the Diagnosis and Treatment of Novel Coronavirus Infection by the National Health Commission (Trial Version 7)

Eligibility Criteria

Age18 Years - 75 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients with novel coronavirus infection meeting the criteria of The New Coronavirus Pneumonia Diagnosis and Treatment Program (Seventh Edition)

You may qualify if:

  • Age between 18 and 75 years(both 18 and 75), either gender;
  • At the time of enrollment, patients with novel coronavirus infection meeting the criteria of The New Coronavirus Pneumonia Diagnosis and Treatment Program (Seventh Edition)
  • Able to engage in daily activities;
  • Willing to participate in this research and willing to follow the research program, with the ability to sign informed consent;
  • having mobile communication equipment which can install APP of wearable device.

You may not qualify if:

  • Wear time of wearable devices \<50% during the whole study period
  • Wearable devices have faults, missing signals or errors throughout the study period, resulting in the proportion of analyzable information \<50%
  • Patients with incomplete outpatient and inpatient information and missing core information such as hospitalization / discharge time, symptoms, laboratory examination, disease progress record, etc.
  • Patients with serious underlying diseases (including serious mental diseases, mental disorders, nervous system diseases, malignant tumors, chronic liver diseases, heart failure, autoimmune diseases, chronic kidney diseases), or life expectancy less than 6 months
  • Unable to take care of themselves in daily life, unable to cooperate with medical history and data collection
  • participating in other clinical trials;
  • Pregnant women, women in puerperium

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Peking University First Hospital

Beijing, Beijing Municipality, 100034, China

Location

Related Publications (1)

  • Zhang C, Sun A, Liao J, Zhang C, Yu K, Ma X, Wang G. COVID-19 surveillance based on consumer wearable devices. Digit Health. 2024 Apr 24;10:20552076241247374. doi: 10.1177/20552076241247374. eCollection 2024 Jan-Dec.

MeSH Terms

Conditions

COVID-19

Condition Hierarchy (Ancestors)

Pneumonia, ViralPneumoniaRespiratory Tract InfectionsInfectionsVirus DiseasesCoronavirus InfectionsCoronaviridae InfectionsNidovirales InfectionsRNA Virus InfectionsLung DiseasesRespiratory Tract Diseases

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
2 Months
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor & MD.

Study Record Dates

First Submitted

June 25, 2020

First Posted

July 7, 2020

Study Start

August 2, 2020

Primary Completion

September 12, 2020

Study Completion

April 15, 2021

Last Updated

March 28, 2022

Record last verified: 2022-03

Data Sharing

IPD Sharing
Will not share

Locations