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
This is a pilot, single arm, open label feasibility study. This is a single centre trial based in a large tertiary cancer centre which treats patients across all solid and haematological malignancies. Patients will be recruited from all disease groups. Patients who present with symptoms suspicious for Covid-19 who the admitting clinicians deems appropriate for outpatient management will be considered for this study. Patients who are enrolled will undergo continuous physiological monitoring for up to three weeks. This includes continuous monitoring of heart rate, respiratory rate, temperature, activity levels (by accelerometer measurement) and twice daily pulse oximetry. The physiological data will not be reviewed in real time by clinicians and therefore will not be used to alter patients' standard care. The pulse oximetry data will be visible to patients who will be given clear guidelines to follow with regards to contacting the cancer centre hotline should values deviate from baseline. In the pilot phase of RECAP 10-30 patients will each be monitored for up to 3 weeks and the following endpoints will be addressed: Physiological trends and interactions predictive of clinical deterioration due to COVID-19 (Co-primary endpoint) Reliability of biosensor data collection/transmission using digital technology from patients self-isolating at home (Co-primary endpoint) Acceptability and tolerability of wearable biosensors and continuous monitoring If the pilot phase is successful we will move to a phase II study in a larger number of patients where the objective will be to refine a physiological signature predictive of clinical deterioration in COVID-19 patients so that early hospitalisation and relevant medical interventions can be arranged.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
30
Wearable sensors
The Christie NHS Foundation Trust
Manchester, Greater Manchester, United Kingdom
RECRUITINGDevice Tolerability (Attrition)
Percentage of patients who choose to stop wearing the devices before they have completed the study
Time frame: Three weeks
Correlation of physiological data with clinical events
Correlation of sensor collected data with clinical episodes of infection. Sensor collected data includes heart rate, respiratory rate and temperature.
Time frame: Over three weeks of patients wearing devices
Device Tolerability (Questionnaire)
Percentage of participants who answer 'agree' or 'strongly agree' on a five point Likert scale to the statement 'I would be happy to wear the sensors again for the next three weeks'. This statement is included in the questionnaires completed after three weeks of wearing the device.
Time frame: Questionnaire at three weeks
Device Tolerability (Semi-structured interviews)
Device tolerability as assessed by semi-structured interviews.
Time frame: One to four weeks after completion of wearing the device
Reliability of data transmission
Reliable data transmission to central hospital system expressed as a percentage of total data points collected out of target data points collected.
Time frame: Over three weeks of patients wearing devices
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