COVID-19 in cancer patients [COVID-19]
Research type
Research Study
Full title
Characterisation of cancer patients with COVID-19 to improve understanding and inform a decision support tool
IRAS ID
288177
Contact name
Rebecca Lee
Contact email
Sponsor organisation
The University of Manchester
Duration of Study in the UK
1 years, 0 months, 1 days
Research summary
research Summary
Coronavirus disease 2019 (COVID-19) is a disease with a variable clinical course from minimal symptoms to death. Cancer patients are at an increased risk of complications from COVID-19. There is a clear need to better understand the effects of COVID-19 infection in patients with cancer and to determine which patients attending hospitals with an acute infection are at most risk from poor outcomes.
In Part A we plan to use pseudo-anonymised data already collected in a database through a clinical audit to identify which routinely captured factors predict outcome from COVID-19. These factors will be used to develop a decision support tool for healthcare professionals (HCPs). A website will be developed to host the decision support tool, which will be available to both patients and HCPs. In Part C we will validate the risk prediction model using additional pseudo-anonymised patient data provided by HCPs through the web portal. HCPs will access portal by providing limited contact details, submit appropriate authorisation, and enter de-identified clinical and 30 day outcome data. In part C we plan to complete an online user survey of HCPs to evaluate the tool. This survey will be designed once the website/tool has been finalised and will be submitted as an ethical amendment prior to use.
Ultimately we hope the tool will support clinicians to identify which patients with COVID-19 infection can safely be discharged home thereby protecting staff and other patients from transmission. Furthermore identifying patients at higher risk of adverse outcome may, in future work, facilitate the development of clinical trials of early intervention with new therapies but also allow early discussions with patients and their families about escalation plans and their prognosis.The study is funded by The Christie Charity.
Summary of Results
This study showed that certain features in blood tests and the condition of the patient were able to predict their likely need for oxygen support and also death. We were able to develop a decision support tool which we called CORONET available at https://scanmail.trustwave.com/?c=261&d=j6aW5g9SxsRY-wa6X-MKAuf0UH9AOyBZvmZO6Pfklg&u=https%3a%2f%2fu2790089%2ect%2esendgrid%2enet%2fls%2fclick%3fupn%3du001%2eQwnS5iG-2B4nwcunWxC03fkBTpZAjA2pBLnxFPXpgHQGMxzZUMNSqKbzxvSg7FTlOi5Vo4%5fa04dWCHmDh7gi4hRuvmsd-2FMEDkPNm6D0IRdq0o1v81cLzqdFH900RyQvwYAd5E0mB6nAcJwvSqfGSJ51JjCu2V5aEokjUgkYhS84Dp2c0As8DcyHZ4bpqylcXNytcPFJ5zk-2FHgrjTdT8KyXVAc78nVIaeUsYHLNAbvsPoOWSRpE78XUY-2FtyDBma74ertoKFIddlxutiQXU-2BMYOW-2F6Ot5IQ-3D-3D
which can aid admission decisions and predict COVID-19 severity in patients with cancer.REC name
Wales REC 2
REC reference
20/WA/0269
Date of REC Opinion
22 Sep 2020
REC opinion
Further Information Favourable Opinion