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Epidemiological studies suggest that individuals with comorbid conditions including diabetes, chronic lung, inflammatory and vascular disease, are at higher risk of adverse COVID-19 outcomes. Genome-wide association studies have identified several loci associated with increased susceptibility and severity for COVID-19. However, it is not clear whether these associations are genetically determined or not. We used a Phenome-Wide Association (PheWAS) approach to investigate the role of genetically determined COVID-19 susceptibility on disease related outcomes. PheWAS analyses were performed in order to identify traits and diseases related to COVID-19 susceptibility and severity, evaluated through a predictive COVID-19 risk score. We utilised phenotypic data in up to 400,000 individuals from the UK Biobank, including Hospital Episode Statistics and General Practice data. We identified a spectrum of associations between both genetically determined COVID-19 susceptibility and severity with a number of traits. COVID-19 risk was associated with increased risk for phlebitis and thrombophlebitis (OR = 1.11, p = 5.36e-08). We also identified significant signals between COVID-19 susceptibility with blood clots in the leg (OR = 1.1, p = 1.66e-16) and with increased risk for blood clots in the lung (OR = 1.12, p = 1.45 e-10). Our study identifies significant association of genetically determined COVID-19 with increased blood clot events in leg and lungs. The reported associations between both COVID-19 susceptibility and severity and other diseases adds to the identification and stratification of individuals at increased risk, adverse outcomes and long-term effects. [ABSTRACT FROM AUTHOR]

Situation Reports (SitReps) is an internal Department of Health performance data collecting system. Although intended primarily for internal use, the data are also used to answer parliamentary questions, brief ministers and to inform national performance indicators. This paper reviews the data collection system and data-set, and shows how it can be used to evaluate delays in hospital discharge under the Community Care (Delayed Discharges etc.) Act 2003. However, limitations in the data include the fact that the data have only recently been extended to National Health Service (NHS) non-acute settings and do not include NHS patients in the private acute sector. Further, as the data-set derives from a weekly aggregate return rather than from individualized person-based records, it cannot be used to evaluate length of delay, or to link to other relevant data such as emergency readmissions. The provision of individualized data to facilitate linkage and extending coverage would increase its potential future use. Categories of delay should be further refined to facilitate monitoring of delays due to disputes about eligibility. [ABSTRACT FROM AUTHOR]

The author reflects on the issues that responsible practices and hospitals will have to address given the increase in the number of asylum seekers reaching Great Britain. It cites the need for government departments to make use of standard handheld records of medical information taken during selection for relocation and ensure that the data follow the patients to their new practitioners. It notes the need for health professionals to offer the highest standard of healthcare to this population.

The article discusses efforts by the British Medical Association, the Climate and Health Council and the global health charity Medact to urge oil companies to divest from fossil fuel (FF) in order to mitigate climate change (CC). Topics covered include the negative effects of CC on human health including extreme weather conditions, the little progress in FF divestment campaigns and suggestions for shareholders on how to divest from FF stocks.

The article offers information on Health and Social Care Bill. It mentions the significance of writing a letter to the House of Lords in the Great Britain to protect National Health Service (NHS) as the bill did not deliver quality and fairness. It mentions that the healthcare needs of the entire population has been evaluated by public health professionals. It also discusses several problems related to the bill which includes the abolishment of direct accountability.

The authors discuss the impact of the Health and Social Care Bill of 2011 on the National Health Service (NHS) in England. They note the bill's movement toward eliminating the NHS through the British Parliament, and facilitating the introduction of a U.S.-style health system. Moreover, the authors cite significant legal consequences of Bill which include weakening the accountability of the Secretary of State to Parliament for the provision of services to patients in the NHS.

Background: Risk factors for severe COVID-19 include older age, male sex, obesity, black or Asian ethnicity and underlying medical conditions. Whether these factors also influence susceptibility to developing COVID-19 is uncertain., Methods: We undertook a prospective, population-based cohort study (COVIDENCE UK) from 1 May 2020 to 5 February 2021. Baseline information on potential risk factors was captured by an online questionnaire. Monthly follow-up questionnaires captured incident COVID-19. We used logistic regression models to estimate multivariable-adjusted ORs (aORs) for associations between potential risk factors and odds of COVID-19., Results: We recorded 446 incident cases of COVID-19 in 15 227 participants (2.9%). Increased odds of developing COVID-19 were independently associated with Asian/Asian British versus white ethnicity (aOR 2.28, 95% CI 1.33 to 3.91), household overcrowding (aOR per additional 0.5 people/bedroom 1.26, 1.11 to 1.43), any versus no visits to/from other households in previous week (aOR 1.31, 1.06 to 1.62), number of visits to indoor public places (aOR per extra visit per week 1.05, 1.02 to 1.09), frontline occupation excluding health/social care versus no frontline occupation (aOR 1.49, 1.12 to 1.98) and raised body mass index (BMI) (aOR 1.50 (1.19 to 1.89) for BMI 25.0-30.0 kg/m 2 and 1.39 (1.06 to 1.84) for BMI >30.0 kg/m 2 versus BMI <25.0 kg/m 2 ). Atopic disease was independently associated with decreased odds (aOR 0.75, 0.59 to 0.97). No independent associations were seen for age, sex, other medical conditions, diet or micronutrient supplement use., Conclusions: After rigorous adjustment for factors influencing exposure to SARS-CoV-2, Asian/Asian British ethnicity and raised BMI were associated with increased odds of developing COVID-19, while atopic disease was associated with decreased odds., Trial Registration Number: ClinicalTrials.gov Registry (NCT04330599)., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)