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Chronic conditions Chronic cardiac disease consisted of ischaemic heart disease, previous acute coronary syndrome, cardiac arrhythmias, congestive cardiac failure, valvular abnormalities and cardiomyopathy. Chronic liver disorders consisted of hepatitis, nonalcoholic steatohepatitis, haemochromatosis, Wilson’s disease, alcoholic liver disease, Gilbert’s syndrome, primary sclerosing cholangitis and primary biliary cirrhosis. Chronic neurological disease consisted of previous encephalopathy, epilepsy, Wernicke’s encephalopathy, cerebrovascular accident, Parkinson’s disease and meningitis. Chronic rehumatological disease consisted of rheumatoid arthritis, systemic lupus erythematosus, connective tissue disorders (myositis, polymyositis, dermatomyositis, Sj?gren's syndrome and scleroderma), spondyloarthropathy, gout and polymyalgia rheumatica. Index of Multiple Deprivation DecileWhere available, patients’ postcodes were recorded and using Ministry of Housing, Communities & Local Government’s English indices of deprivation 2019 tool, postcode data was uploaded to the website to obtain deprivation data ().Radiological imagingRadiological changes on chest imaging were recorded as unilateral or bilateral airspace consolidation, widespread airspace consolidation in a pattern consistent with acute respiratory distress syndrome (ARDS), ground glass opacification, pleural effusion and pneumothorax. Data were recorded from reports of chest radiographs, or where available cross-sectional imaging of the chest by computed tomography (CT).Definitions for CancersDefinitions from the World Health Organization (WHO) were employed classifying haematological malignancy into ‘lymphoid neoplasms’, ‘myeloid neoplasms and acute leukaemias’ and ‘posttransplant lymphoproliferative disorder (PTLD).’ No recorded cases of ‘mast cell diseases’ or ‘histiocytic and dendritic cell neoplasms’ PEVuZE5vdGU+PENpdGU+PEF1dGhvcj5IYXJyaXM8L0F1dGhvcj48WWVhcj4yMDAwPC9ZZWFyPjxS

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ADDIN EN.CITE.DATA (10, 11) were identified. Solid malignancies were classed based on ICD-10 criteria ADDIN EN.CITE <EndNote><Cite><Author>Organization</Author><Year>2004</Year><RecNum>50</RecNum><DisplayText>(12)</DisplayText><record><rec-number>50</rec-number><foreign-keys><key app="EN" db-id="059r59ppnr9fviexaacpvta8vztfwfepdt2r" timestamp="1599776973" guid="70be10f1-a59c-4aee-927c-b5d5fa0ce304">50</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>World Health Organization</author></authors></contributors><titles><title>ICD-10 : international statistical classification of diseases and related health problems : tenth revision</title><secondary-title>Geneva</secondary-title></titles><periodical><full-title>Geneva</full-title></periodical><dates><year>2004</year></dates><urls></urls></record></Cite></EndNote>(12).Statistical Analyses Patients who were discharged were censored at their discharge date. Duration of hospitalisation due to COVID-19 is similarly measured from the point of SARS-CoV-2 test. Overall survival is presented as the 14-day mortality rate as many sub-groups did not meet the threshold of median survival. Comparisons between groups are presented as hazard ratios (95% confidence intervals). The impact of demographic and clinical outcomes were analysed against time-to-death using univariable and multivariable Cox proportional hazards modelling. Factors with a p-value ≤0.25 under univariable modelling were considered for inclusion in the multivariable model with the final model constructed using a backwards stepwise selection procedure based on Akaikes Information Criterion (AIC). ................
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