Simple hyperinflammation scores predict mortality in hospitalized patients with COVID-19 and offer a personalized medicine approach to dexamethasone intervention
We present a framework for a new machine-learning based scoring system for COV-HI combining clinical assessment with laboratory markers for prediction of mortality and targeting glucocorticoids in hospitalized COVID-19 patients.
Authors
- Miriam Cox (ORCID: https://orcid.org/0000-0003-4735-4749)
- Matthew Collin (ORCID: https://orcid.org/0000-0002-2820-8706)
- Rachel Scarlett Tattersall (ORCID: https://orcid.org/0000-0002-1087-6546)
- Michael R. Ardern‐Jones (ORCID: https://orcid.org/0000-0003-1466-2016)
- Mathew D. Hutchinson (ORCID: https://orcid.org/0000-0002-8286-0113)
- Ben Carpenter
- Leda Coelewij (ORCID: https://orcid.org/0000-0001-6161-0046)
- Ellie Hawkins
- George Robinson (ORCID: https://orcid.org/0000-0001-7473-7652)
- Elizabeth C. Jury (ORCID: https://orcid.org/0000-0002-2389-3396)
- Jessica Manson (ORCID: https://orcid.org/0000-0002-1209-4417)
- Coziana Ciurtin (ORCID: https://orcid.org/0000-0002-8911-4113)
- Trevor Liddle
- Andrew Duncombe (ORCID: https://orcid.org/0000-0003-0338-695X)
- Alexandra E Oppong
- Srinivasan Venkatachalam
Institutions
- University College London Hospitals NHS Foundation Trust (GB)
- New Cross Hospital (GB)
- Newcastle upon Tyne Hospitals NHS Foundation Trust (GB)
- University Hospital Southampton NHS Foundation Trust (GB)
- Sheffield Teaching Hospitals NHS Foundation Trust (GB)
- Arthritis UK (GB)
- University College London (GB)
Publication Details
- Journal
- International Journal of Infectious Diseases
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1016/j.ijid.2025.108119
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- University College London
- University College London Hospitals NHS Foundation Trust
- Versus Arthritis
- Medical Research Council