MedTrace Logo

Remote Monitoring of Cancer Patients With Suspected Covid-19

NCT04397705 · Status: UNKNOWN · Phase: PHASE1 · Type: INTERVENTIONAL · Enrollment: 30

Last updated 2021-02-11

No results posted yet for this study

Summary

Since emerging in December 2019, coronavirus disease 2019 (Covid-19) has developed into an unprecedented global pandemic. The causative pathogen, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has the potential to cause a wide range of clinical syndromes, from fever, dyspnoea and cough to respiratory failure and cardiac injury necessitating critical care support. A number of patients have a more indolent clinical course and can be safely managed in the community.

Characterising the clinical course of Covid-19 infection in the oncology population and distinguishing this from other acute oncology presentations which can mimic Covid-19 is a key unmet research need. Current standard of care for monitoring patients at high risk of chemotherapy associated neutropenic sepsis involves asking them to contact their cancer centre when they feel unwell or develop a fever. No standard of care for monitoring ambulatory Covid-19 patients has yet been established. We hypothesise that using wearable biosensors to detect patients who exhibit 'red flags' for sepsis or deterioration due to Covid-19 may allow earlier assessment and intervention. There is no current evidence for wearable biosensors in ambulatory patients receiving chemotherapy, and there is no existing research into this proposed use of biosensors in patients with suspected or confirmed Covid-19 infection.

In order to justify performing a randomised controlled study comparing standard of care with biosensor driven monitoring it is important to establish the tolerability and validity of these devices. We aim to collect patient reported outcome measures (PROMs) on tolerability and assess the reliability of data transmission to a central data collection server. We will also perform an initial analysis of physiological data and correlation with clinical events

Conditions

Interventions

DEVICE

Patient Status Engine

Wearable sensors

Sponsors & Collaborators

  • The Christie NHS Foundation Trust

    lead OTHER

Principal Investigators

  • John Radford · The University of Manchester

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-10-12
Primary Completion
2021-04-30
Completion
2021-04-30

Countries

  • United Kingdom

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04397705 on ClinicalTrials.gov