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Longitudinal hospital prescribing data for >48,000 deeply phenotyped patients
Deeply phenotyped dataset of longitudinal prescribing data for >48,000 patients from 2017 onwards. Investigation, intervention and treatment data. Granular co-morbidities, serial physiology readings, blood biomarkers with outcome data.
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Ventilatory strategies, medications and outcomes for patients with COVID
Deeply phenotyped data on COVID-19 hospital patients with multi-morbidities requiring/at risk of requiring ventilatory support: This includes investigations, with serial biomarkers, ITU spells, interventions undertaken and outcomes.
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The impact of ethnicity and multi-morbidity on C19 hospitalised outcomes
A deeply phenotyped dataset of hospitalised COVID-19 patients in Birmingham; including granular ethnicity and multi-morbidity data confirmed in primary care; physiology, blood biomarkers, treatments, interventions, ITU admissions and outcomes. PIONEE
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Longitudinal C-reactive protein concentrations in COVID-19: an OMOP dataset
CRP has been identified as a biomarker of importance in COVID. This OMOP dataset features highly granular health data from over 4500 patients with hospitalised COVID-19, including oxygen support and treatments given.
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Trusted Research Environments for CVD-COVID-UK / COVID-IMPACT
Linkable health datasets in respective TREs in England, Scotland and Wales, accessible to approved researchers who are members of the BHF Data Science Centre's CVD-COVID-UK consortium, and for COVID-IMPACT / National Core Studies projects (England on
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*ReputationScore indicates how established a given datasource is. Find out more.