COVID-19 Advanced Respiratory Physiology (CARP) Study

NCT ID: NCT04668313

Last Updated: 2020-12-16

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-09-29

Study Completion Date

2021-09-29

Brief Summary

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The anticipated second wave of COVID-19 cases will present healthcare system challenges, including requirement to monitor large numbers of patients for deteriorating respiratory failure. Rising respiratory rate can identify deterioration requiring escalation of care. However constant monitoring of respiratory rate can be challenging outwith critical care units due to feasibility and inaccuracy of intermittent measurements.

Wearable biosensors which allows for remote patient monitoring of RR is therefore attractive, particularly when combined in a dashboard with clinical summary data. This would establish source data and infrastructure for the training and validation of machine-learning models, with decision support risk-predictions prioritising alerts and clinician reviews.

Detailed Description

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Altair medical has developed a pre-commercial investigational wearable (chest-worn) biosensor which can measure continuous respiratory rate and respiratory events. This sensor has been verified to have good correlation with reference impedance plethysmography data.

Inclusion criteria:

All inpatients in the QEUH with respiratory failure from any cause.

Exclusion criteria:

Lack of capacity to consent

Physiology data will be correlated with event time-course data including oxygen and breathing support requirements, deterioration, hospital discharge and status at 28 days and 90 days post discharge.

A small subset of patients will have further investigations - parasternal EMG; thoracic electrical impedance tomography; forced oscillometry and post discharge Altair and Fitbit data.

Study analysis will include machine learning model development with the objective of developing risk-predictions for clinically significant deteriorations.

Conditions

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Respiratory Failure Covid19 Biosensor

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Adult patients with respiratory failure of any cause requiring hospital admission, oxygen therapy and routine NEWS-2 physiology observations.
* CARP detailed sub-study Adult patients with respiratory failure who are suitable for opportunistically acquired serial detailed physiology measurements taken alongside routine clinical care by study team.
* CARP follow-up remote-monitoring sub-study Adult patients with respiratory failure who have provided informed consent and have a smartphone to connect to Fitbit and Lenus accounts for postdischarge wearable device data capture.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Altair Medical

UNKNOWN

Sponsor Role collaborator

Storm ID

UNKNOWN

Sponsor Role collaborator

NHS Greater Glasgow and Clyde

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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NHS Greater Glasgow and Clyde

Glasgow, , United Kingdom

Site Status RECRUITING

Countries

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United Kingdom

Central Contacts

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Chris Carlin

Role: CONTACT

Phone: 01414516088

Email: [email protected]

Jacqueline Anderson

Role: CONTACT

Phone: 01414516088

Email: [email protected]

Facility Contacts

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Jacqueline Anderson

Role: primary

Other Identifiers

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INGN20RM136

Identifier Type: -

Identifier Source: org_study_id