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OpenTrials
Completed

NCT Number: NCT04575532

Detection of COVID-19 Decompensation

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Rush University Medical Center, Chicago, Illinois, United States

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About this study

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).

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Use of the pinpointIQ solution (physIQ, Inc.)

Device

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

Primary outcomes

  1. Development of Covid Decompensation Index

    Time frame: 4 months

    To 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 outcomes

  1. Feasibility

    Time frame: 4 months

    To 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.

Sponsors and collaborators

Lead sponsor

physIQ, Inc.

Industry

Collaborators

  • National Cancer Institute (NCI)
  • National Institute for Biomedical Imaging and Bioengineering (NIBIB)
  • University of Illinois at Chicago

Registry information

Official study title

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

Acronym: DeCODe

Important dates

Study start
2020
Primary completion
2021
Study completion
2021
First posted
Oct 5, 2020
Registry last updated
Sep 13, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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