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Tuberculosis (TB) remains a significant global health problem. The UK has one of the highest rates of TB in Europe, and Birmingham and the West Midlands are hotspots, with over 300 cases of active disease and approximately 10 times that of new latent infections diagnosed each year. Birmingham and the West Midlands have experienced particularly high rates of COVID-19 and there is increasing evidence that individuals of Black, Asian and minority ethnicities (BAME) experience the most significant morbidity and highest mortality rates due to COVID-19. These groups also experience the highest burdens of TB. This dataset enables a deeper analysis of demography and clinical outcomes associated with COVID-19 in patients with concurrent TB. 
Geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix (42% non-white within Birmingham). 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 UHB during the COVID-19 pandemic, curated to focus on Mycobacterium Tuberculosis and SARS-CoV-2. are longitudinally & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. This includes serial, structured data pertaining to: acute care process (A&E, triage, IP, ITU admissions), presenting complaint, DNAR teal, all physiology readings (AVPU scale, COVID CFS, blood pressure, respiratory rate, oxygen saturations and others), all blood results, imaging reports, all prescribed & administered treatments, and all outcomes. Available Supplementary Data Matched controls, ambulance, OMOP data, 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, and “fast screen” services.
