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Detection of COVID-19 Decompensation

Personalized Analytics and Wearable Biosensor Platform for Early Detection of COVID-19 Decompensation

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04575532
Acronym
DeCODe
Enrollment
1000
Registered
2020-10-05
Start date
2020-10-05
Completion date
2021-09-09
Last updated
2021-09-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Covid19

Brief summary

In this study we will be monitoring for patient events (emergency department admission, hospital admission, admission to an observation unit, or death) and evaluating the feasibility and utility of using pinpointIQ in the management of patients with COVID-19. Vital sign (physiology data) is collected to build a Covid Decompensation Index and contribute data to a Covid Digital Hub supported by the National Institutes of Health.

Detailed description

This is a prospective, non-randomized, open-label, two-phase design. The primary focus for the study is data collection for index development. This will be done in two phases: the first phase allows for determination of predictor variables that establish the COVID-19 Decompensation Index (CDI) and the second phase establishes performance of the CDI. A participant is considered to have completed the study if he or she completes all phases of the study including the last day of monitoring (day 28).

Interventions

DEVICEUse of the pinpointIQ solution (physIQ, Inc.)

Patients are monitored for 28 days post COVID19 diagnosis or COVID19 post-hospitalization discharge using the pinpointIQ solution.

Sponsors

National Institute for Biomedical Imaging and Bioengineering (NIBIB)
CollaboratorNIH
National Cancer Institute (NCI)
CollaboratorNIH
University of Illinois at Chicago
CollaboratorOTHER
physIQ, Inc.
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Obtained signed and dated informed consent form Patient in the University of Illinois Health System Patient agrees to comply with all study procedures and availability for the duration of the study Male or female, aged \> 18 years of age Patient diagnosed with COVID-19 (positive SARS CoV2 test) Patient agrees to refrain from swimming or taking baths (any activity that submerges the biosensor in water for any period). Showering is okay.

Exclusion criteria

Known allergic reactions to components of the hydrocolloid gel adhesives Subject has cognitive or physical limitations that, in the opinion of the investigator, limits the subject's ability to fully follow study procedures Cognitive ability, in the opinion of the investigator, that limits the patient's ability to use the biosensor and smartphone consistent with study requirements. Does not speak or read English or Spanish

Design outcomes

Primary

MeasureTime frameDescription
Development of Covid Decompensation Index4 monthsTo collect sufficient data to identify a set of predictor variables that most accurately predict a COVID-19 decompensation event aimed at developing and validating a clinically useful COVID Decompensation Index (CDI).

Secondary

MeasureTime frameDescription
Feasibility4 monthsTo evaluate the feasibility of using the pinpointIQ solution as a tool for healthcare professionals to identify physiologic decompensation and manage the study populations based on physIQ validated rule sets and analytics.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 15, 2026