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Chronic kidney disease is common in the general population and associated with excess cardiovascular disease (CVD), but kidney function does not feature in current CVD risk-prediction models. We tested three formulae for estimated glomerular filtration rate (eGFR) to determine which was the most clinically informative for predicting CVD and mortality. Using data from 440,526 participants from UK Biobank, eGFR was calculated using serum creatinine, cystatin C (eGFRcys) and creatinine-cystatin C. Associations of each eGFR with CVD outcome and mortality were compared using Cox models and adjusting for atherosclerotic risk factors (per relevant risk scores), and the predictive utility was determined by the C-statistic and categorical net reclassification index. We show that eGFRcys is most strongly associated with CVD and mortality, and, along with albuminuria, adds predictive discrimination to current CVD risk scores, whilst traditional creatinine-based measures are weakly associated with risk. Clinicians should consider measuring eGFRcys as part of cardiovascular risk assessment. Analysis of data from over 400,000 UK Biobank participants shows that eGFR measured by cystatin C, but not serum creatinine, is strongly associated with cardiovascular disease outcomes and mortality., Author(s): Jennifer S. Lees [sup.1] , Claire E. Welsh [sup.1] , Carlos A. Celis-Morales [sup.1] , Daniel Mackay [sup.1] , James Lewsey [sup.2] , Stuart R. Gray [sup.1] , Donald [...]

Objectives: The main objective of this study was to utilise a large database from a UK-based, commercial veterinary diagnostic laboratory to ascertain the prevalence of different forms of nasal disease within the feline population. Further objectives included using this database to detect any breed, sex or age predilections, or associations between the degree of brachycephalism, and the different conditions diagnosed. Methods: Records from the laboratory were searched for feline submissions received between 31 May 2006 and 31 October 2013. For all samples taken from the nasal cavity, the diagnosis was recorded together with the breed, age, sex and neuter status of the cat, whether the clinical presentation was uni- or bilateral and whether a nasal discharge was present. Pedigree breeds were further subclassified according to skull conformation into brachycephalic, mesocephalic and dolichocephalic. Logistic regression models were constructed to assess the adjusted magnitude of association of significant risk factors with each disease, and each disease was also used as a potential independent risk factor for each other disease. Results: The most prevalent nasal disease was rhinitis, followed by neoplasia and polyps. The most commonly diagnosed neoplasm was lymphoma, followed by adenocarcinoma and undifferentiated carcinoma, with benign tumours being very uncommon. No significant association was found between skull conformation and nasal diseases. The only statistically significant association was polyps being more likely to arise in younger male cats, with a mesocephalic skull conformation and no nasal discharge. Conclusions and relevance: No significant association was found between skull conformation and nasal diseases, contrary to what might be expected. The only significant association found between any of the potential risk factors and various forms of nasal disease was polyps being more likely to arise in younger cats; other identified associations are only likely to be weak. [ABSTRACT FROM AUTHOR]

Competing Interests: Dr Welsh has none to declare.

Background: Population characteristics can be used to infer vulnerability of communities to COVID-19, or to the likelihood of high levels of vaccine hesitancy. Communities harder hit by the virus, or at risk of being so, stand to benefit from greater resource allocation than their population size alone would suggest. This study reports a simple but efficacious method of ranking small areas of England by relative characteristics that are linked with COVID-19 vulnerability and vaccine hesitancy., Methods: Publicly available data on a range of characteristics previously linked with either poor COVID-19 outcomes or vaccine hesitancy were collated for all Middle Super Output Areas of England (MSOA, n=6790, excluding Isles of Scilly), scaled and combined into two numeric indices. Multivariable linear regression was used to build a parsimonious model of vulnerability (static socio-ecological vulnerability index, SEVI) in 60% of MSOAs, and retained variables were used to construct two simple indices. Assuming a monotonic relationship between indices and outcomes, Spearman correlation coefficients were calculated between the SEVI and cumulative COVID-19 case rates at MSOA level in the remaining 40% of MSOAs over periods both during and out with national lockdowns. Similarly, a novel vaccine hesitancy index (VHI) was constructed using population characteristics aligned with factors identified by an Office for National Statistics (ONS) survey analysis. The relationship between the VHI and vaccine coverage in people aged 12+years (as of 2021-06-24) was determined using Spearman correlation. The indices were split into quintiles, and MSOAs within the highest vulnerability and vaccine hesitancy quintiles were mapped., Findings: The SEVI showed a moderate to strong relationship with case rates in the validation dataset across the whole study period, and for every intervening period studied except early in the pandemic when testing was highly selective. The SEVI was more strongly correlated with case rates than any of its domains ( r s 0·59 95% CI 0.57-0.62) and outperformed an existing MSOA-level vulnerability index. The VHI was significantly negatively correlated with COVID-19 vaccine coverage in the validation data at the time of writing ( r s -0·43 95% CI -0·46 to -0·41). London had the largest number and proportion of MSOAs in quintile 5 (most vulnerable/hesitant) of SEVI and VHI concurrently., Interpretation: The indices presented offer an efficacious way of identifying geographical disparities in COVID-19 risk, thus helping focus resources according to need., Funding: Funder: Integrated Covid Hub North East., Award Number: n/a., Grant Recipient: Fiona Matthews., Competing Interests: DS and CW are part-funded by a Department of Health and Social Care grant to the Newcastle upon Tyne Hospitals NHS Foundation Trust for the Integrated COVID Hub North East for the purposes of local pandemic response, paid via the University of Newcastle (the primary employer of all authors). Grant awarded to FM., (© 2021 The Author(s).)

Background: As society ages, promoting the health of the extra years of life is of paramount importance for health, social care and pension provision. Increases in life expectancy in the UK and elsewhere have slowed in recent years, but the reasons for this are unclear. No formal comparison of trends in healthy life years between the UK and the other countries of the EU28 in recent times has been published. These countries are geographically proximate, and share many social, cultural and demographic properties, making them interesting and useful comparators, especially as the UK prepared to leave the European Union in 2020., Methods: We calculated sex-specific healthy life years (HLY), unhealthy life years (ULY), mild and severe ULY at birth and age 65 using life tables and age-specific prevalence of activity limitation amongst the EU28 between 2008 and 2016 from EuroHex. Trends in life expectancy, HLY, ULY and proportion of life spent healthy (HLY%) were compared. We then decomposed HLY temporal changes into relative effects of changes in healthy life and mortality, by age group., Findings: Life expectancy at birth, and age 65, in the UK were increasing rapidly in 2008 but slowed around 2011. Germany, Portugal and France showed evidence of a similar slowing. HLY at birth in the UK decreased, whereas it increased in most EU28 countries. The UK experienced a period of absolute expansion of unhealthy life in both sexes. The reduction in HLY at birth in the UK was mainly attributable to increases in unhealthy life in younger age groups., Interpretation: The UK's performance relative to the other countries of the EU28 was poor after 2011, combining static life expectancy and reductions in healthy life years. These trends suggest that the UK government's Ageing Society Grand Challenge (to increase the healthy life expectancy by five years by 2035) will be difficult to attain., Funding: National Institute for Health Research (NIHR) Policy Research Programme conducted through the NIHR Older People and Frailty Policy Research Unit, PR-PRU-1217-21502. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care., Competing Interests: Dr Welsh has nothing to disclose. Dr Jagger has nothing to disclose. Dr Matthews has nothing to disclose., (© 2021 The Authors.)