COVID-19 outcomes in UK centre within highest health and wealth band: a prospective cohort study

Abstract

ObjectivesTo describe the characteristics and outcomes of hospitalised patients with COVID-19 from UK in the highest decile of health and gross regional products per capita.DesignProspective cohort study.SettingRecruited all adult inpatients with laboratory-confirmed COVID-19 symptoms admitted to a single Surrey centre between March and April 2020. Extensive demographic details were documented.Outcome measureCOVID-19 status of alive/dead and intensive care unit (ICU) status of yes/no.ParticipantsPatients with COVID-19 from Surrey centre UK (n=429).Results429 adult inpatients (mean age 70±18 years; men 56.4%) were included in this study, of whom, 19.1% required admission to ICU and 31.9% died. Adverse outcomes were associated with age (OR with each decade of years: 1.78, 95% CI 1.53 to 2.11, p<0.001 for mortality); male gender (OR=1.08, 95% CI 0.72 to 1.63, p=0.72, present in 70.7%, of admissions to ICU versus 53% of other cases, p=0.004); cardiac disease (OR=3.43, 95% CI 2.10 to 5.63, p<0.001), diabetes mellitus (OR=2.37, 95% CI 1.09 to 5.17, p=0.028) and dementia (OR=5.06, 95% CI 2.79 to 9.44, p<0.001). There was no significant impact of ethnicity or body mass index on disease outcome.ConclusionsDespite reports of worse outcomes in deprived regions, we show similar complication and mortality rates due to COVID-19 in an affluent and high life expectancy region.

SARS-CoV-2 antibody seroprevalence in NHS healthcare workers in a large double-sited UK hospital

“…23 There are likely numerous reasons for these reported wide variations in HCW seropositivity, including (but not limited to) antibody assays used, time points of testing (eg different phases of the pandemic), distributions of patients (eg into 'COVID-19 hospitals' and 'non-COVID-19 hospitals'), as well as differences in local guidance on, and availability of, personal protective equipment. It should be noted that despite working in a hospital located in an affluent, socially homogeneous and relatively healthy region 7 where seropositivity levels in the general population are low, 12 our HCWs exhibited similar seroprevalence levels to other HCWs working in more deprived areas where the general population was more likely to be seropositive. 12 More than 30% of all non-White staff were found to be antibody positive and we demonstrate that non-White ethnicity confers a significantly increased risk of seropositivity.…”

“…10,11 For individual tests of association, rather than applying a correction for multiple testing at global significance level, statistical significance was defined as 0.01. 7 Analyses and graphics were performed and produced using R version 4.0.0.…”

“…We sought to quantify SARS-CoV-2 seroprevalence in HCWs and therefore provide a better understanding of whether current protective measures are adequate for reducing pressures on healthcare organisations or if additional and more individualised measures are needed to prevent future staff illness, thus enhancing staff safety, preventing outbreaks and limiting staff shortages, regardless of the geographical location of the health organisation. 7 We report the seroprevalence of SARS-CoV-2 antibodies among HCWs and investigate if specific subgroups are more likely to seroconvert.…”

Mental and neurological disorders and risk of COVID-19 susceptibility, illness severity and mortality: A systematic review, meta-analysis and call for action

“…13,475 records were included in the initial search and 9,369 remained after duplicates were removed. After excluding articles that did not meet the inclusion criteria, 286 studies (including 4 study from references) were full-text screened and finally 149 articles [ [20] , [21] , [22] , [23] , [24] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] , [41] , [42] , [43] , [44] , [45] , [46] , [47] , [48] , [49] , [50] , [51] , [52] , [53] , [54] , [55] , [56] , [57] , [58] , [59] , [60] , [61] , [62] , [63] , [64] , [65] , [66] , [67] , [68] , [69] , [70] , [71] , [72] , [73] , [74] , [75] , [76] , [77] , [78] , [79] , [80] , [81] , [82] , [83] , [84] , [85] , [86] , [87] <...>…”

Diabetes, obesity, metabolism, and SARS-CoV-2 infection: the end of the beginning

“…Some of the risk attributed to obesity likely reflects coincident T2D and impaired cardiopulmonary fitness. The relative risk also appears greater in individuals with T2D, suboptimal health care, and in some, but not all, studies, socioeconomic deprivation ( Ken-Dror et al., 2020 ; Sosa-Rubí et al, 2021 ), risk factors less frequently reported in most reports. The pathophysiology of T2D underlying enhanced SARS-CoV-2 pathogenicity remains uncertain, but may be associated with increased rates of coagulopathy underlying enhanced mortality, as described in severely ill, hospitalized people with COVID-19 in Wuhan ( Chen et al., 2020a ).…”