Background The SARS-CoV-2 pandemic has passed its first peak in Europe. Aim To describe the mortality in England and its association with SARS-CoV-2 status and other demographic and risk factors. Design and setting Cross-sectional analyses of people with known SARS-CoV-2 status in the Oxford RCGP Research and Surveillance Centre (RSC) sentinel network. Method Pseudonymised, coded clinical data were uploaded from volunteer general practice members of this nationally representative network ( n = 4 413 734). All-cause mortality was compared with national rates for 2019, using a relative survival model, reporting relative hazard ratios (RHR), and 95% confidence intervals (CI). A multivariable adjusted odds ratios (OR) analysis was conducted for those with known SARS-CoV-2 status ( n = 56 628, 1.3%) including multiple imputation and inverse probability analysis, and a complete cases sensitivity analysis. Results Mortality peaked in week 16. People living in households of ≥9 had a fivefold increase in relative mortality (RHR = 5.1, 95% CI = 4.87 to 5.31, P <0.0001). The ORs of mortality were 8.9 (95% CI = 6.7 to 11.8, P <0.0001) and 9.7 (95% CI = 7.1 to 13.2, P <0.0001) for virologically and clinically diagnosed cases respectively, using people with negative tests as reference. The adjusted mortality for the virologically confirmed group was 18.1% (95% CI = 17.6 to 18.7). Male sex, population density, black ethnicity (compared to white), and people with long-term conditions, including learning disability (OR = 1.96, 95% CI = 1.22 to 3.18, P = 0.0056) had higher odds of mortality. Conclusion The first SARS-CoV-2 peak in England has been associated with excess mortality. Planning for subsequent peaks needs to better manage risk in males, those of black ethnicity, older people, people with learning disabilities, and people who live in multi-occupancy dwellings.
【저자키워드】 severe acute respiratory syndrome coronavirus 2, Mortality, sentinel surveillance, Pandemics, medical record systems, computerized, 【초록키워드】 SARS-CoV-2, Europe, Risk factors, SARS-CoV-2 pandemic, Sex, risk, Probability, survival, sensitivity analysis, England, association, Analysis, Planning, Older, adjusted odds ratio, multiple imputation, 95% CI, 95% confidence interval, Clinical data, Oxford, hazard ratio, National, RCGP, negative test, Complete, males, long-term conditions, multivariable, Result, subsequent, peaked, clinically, diagnosed, conducted, adjusted, increase in, coded, higher odd, Pseudonymised, RSC, 【제목키워드】 SARS-CoV-2, pandemic, Sex, COVID, excess mortality, age, England, cross-sectional analysis, household size, Long-term condition,