C-reactive protein (CRP) is the classical acute-phase protein produced by the liver at rates regulated by pro-inflammatory cytokines, notably IL-6. Acute phase CRP production is non-specific but generally reflects the extent and severity of whatever infective, inflammatory, traumatic and neoplastic conditions have triggered it (Pepys, M. B. & Hirschfield, G. M. J. Clin. Invest. 111, 1805-1812 (2003). CRP binds specifically to dead or dying cells and then activates complement, leading to enhanced inflammation and exacerbation of pre-existing tissue damage (Griselli, M. et al. J. Exp. Med. 190, 1733-1739 (1999). Large amounts of CRP in the blood can also increase damage to tissues that are already injured. CRP may thus contribute to disease severity and death in COVID-19.
Circulating CRP values in COVID-19 patients are closely associated with disease activity, severity and outcome (for example: L. Yan et al. (2020) https://doi.org/10.1038/s42256-020-0180-7). However, the published studies are of moderate size with only one or few CRP measurements per patient.
In this OMOP dataset, we present longitudinal CRP measurements for a cohort of over 4500 hospitalised COVID-19 patients, from admission to discharge, including severity of disease, co-morbidities, treatments given, complications, ITU admissions and patient outcomes.
PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.
EHR. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.
Scope: All hospitalised patients admitted to Queen Elizabeth Hospital, Birmingham with positive SARS-Cov2 tests reported, transformed into an extended set of tables based on OMOP. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care including timings, admissions, escalation of care to ITU, discharge outcomes, physiology readings (heart rate, blood pressure, AVPU score and others), blood results (especially C-Reactive Protein (CRP) measurements) and drug prescribing and administration data.
Available supplementary data: Matched controls; ambulance, synthetic data.
Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.