Aortic stenosis post-COVID-19: A mathematical model on waiting lists and mortality (preprint)

ObjectivesTo provide estimates for how different treatment pathways for the management of severe aortic stenosis (AS) may affect NHS England waiting list duration and associated mortality. DesignWe constructed a mathematical model of the excess waiting list and found the closed-form analytic solution to that model. From published data, we calculated estimates for how the following strategies may affect the time to clear the backlog of patients waiting for treatment and the associated waiting list mortality. Interventions1) increasing the capacity for the treatment of severe AS, 2) converting proportions of cases from surgery to transcatheter aortic valve implantation, and 3) a combination of these two. ResultsIn a capacitated system, clearing the backlog by returning to pre-COVID-19 capacity is not possible. A conversion rate of 50% would clear the backlog within 666 (95% CI, 533-848) days with 1419 (95% CI, 597-2189) deaths whilst waiting during this time. A 20% capacity increase would require 535 (95% CI, 434-666) days, with an associated mortality of 1172 (95% CI, 466-1859). A combination of converting 40% cases and increasing capacity by 20% would clear the backlog within a year (343 (95% CI, 281-410) days) with 784 (95% CI, 292-1324) deaths whilst awaiting treatment. ConclusionA strategy change to the management of severe AS is required to reduce the NHS backlog and waiting list deaths during the post-COVID-19 recovery period. However, plausible adaptations will still incur a substantial wait and many hundreds dying without treatment.

Excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation and region in England & Wales during 2020 (preprint)

Background Deaths in the first year of the COVID-19 pandemic in England & Wales have been shown to be unevenly distributed socioeconomically and geographically. However, the full scale of inequalities may have been underestimated as most measures of excess mortality do not adequately account for varying age profiles of deaths between social groups. We measured years of life lost (YLL) attributable to the pandemic, directly or indirectly, comparing mortality across geographic and socioeconomic groups. Methods YLL for registered deaths in England & Wales, from 27th December 2014 until 25th December 2020, were calculated using 2019 single year sex-specific life tables for England & Wales. Panel time-series models were used to estimate expected YLL by sex, geographical region, and deprivation quintile between 7th March 2020 and 25th December 2020 by cause: direct deaths (COVID-19 and other respiratory diseases), cardiovascular disease & diabetes, cancer, and other indirect deaths - all other causes). Excess YLL during the pandemic period were calculated by subtracting observed from expected values. Additional analyses focused on excess deaths for region and deprivation strata, by age-group. Findings Between 7th March 2020 and 25th December 2020 there were an estimated 763,550 (95% CI: 696,826 to 830,273) excess YLL in England & Wales, equivalent to a 15% (95% CI: 14 to 16) increase in YLL compared to the equivalent time period in 2019. There was a strong deprivation gradient in all-cause excess YLL, with rates per 100,000 population ranging from (916; 95% CI: 820 to 1,012) for the least deprived quintile to (1,645; 95% CI: 1,472 to 1,819) for the most deprived. The differences in excess YLL between deprivation quintiles were greatest in younger age groups; for all-cause deaths, an average of 9.1 years per death (95% CI: 8.2 to 10.0) were lost in the least deprived quintile, compared to 10.8 (95% CI: 10.0 to 11.6) in the most deprived; for COVID-19 and other respiratory deaths, an average of 8.9 years per death (95% CI: 8.7 to 9.1) were lost in the least deprived quintile, compared to 11.2 (95% CI: 11.0 to 11.5) in the most deprived. There was marked variability in both all-cause and direct excess YLL by region, with the highest rates in both in the North West. Interpretation During 2020, the first calendar year of the COVID-19 pandemic, longstanding socioeconomic and geographical health inequalities in England & Wales were exacerbated, with the most deprived areas suffering the greatest losses in potential years of life lost. Funding None

Changes in cardiovascular disease monitoring in English primary care during the COVID-19 pandemic: an observational cohort study (preprint)

ObjectiveTo quantify the impact and recovery in cardiovascular disease monitoring in primary care associated with the first COVID-19 lockdown. DesignRetrospective nationwide primary care cohort study, utilising data from 1st January 2018 to 27th September 2020. SettingWe extracted primary care electronic health records data from 514 primary care practices in England contributing to the Oxford Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID). These practices were representative of English primary care across urban and non-urban practices. ParticipantsThe ORCHID database included 6,157,327 active patients during the study period, and 13,938,390 patient years of observation (final date of follow-up 27th September 2020). The mean (SD) age was 38{+/-}24 years, 49.4% were male and the majority were of white ethnicity (65% [21.9% had unknown ethnicity]) ExposureThe primary exposure was the first national lockdown in the UK, starting on 23rd March 2020. Main outcome measuresRecords of cholesterol, blood pressure, HbA1c and International Normalised Ratio (INR) measurement derived from coded entries in the primary care electronic health record. ResultsRates of cholesterol, blood pressure, HbA1c and INR recording dropped by 23-87% in the week following the first UK national lockdown, compared with the previous week. The largest decline was seen in cholesterol (IRR 0.13, 95% CI 0.11 to 0.15) and smallest for INR (IRR 0.77, 95% CI 0.72 to 0.81). Following the immediate drop, rates of recorded tests increased on average by 5-9% per week until 27th September 2020. However, the number of recorded measures remained below that expected for the time of year, reaching 51.8% (95% CI 51.8 to 51.9%) for blood pressure, 63.7%, (95% CI 63.7% to 63.8%) for cholesterol measurement and 70.3% (95% CI 70.2% to 70.4%) for HbA1c. Rates of INR recording declined throughout the previous two years, a trend that continued after lockdown. There were no differences in the times series trends based on sex, age, ethnicity or deprivation. ConclusionsCardiovascular disease monitoring in English primary care declined substantially from the time of the first UK lockdown. Despite a consistent recovery in activity, there is still a substantial shortfall in the numbers of recorded measurements to those expected. Strategies are required to ensure cardiovascular disease monitoring is maintained during the COVID-19 pandemic.

Place and underlying cause of death during the COVID19 pandemic: retrospective cohort study of 3.5 million deaths in England and Wales, 2014 to 2020 (preprint)

BackgroundThe COVID-19 pandemic has resulted in a high death toll. We aimed to describe the place and cause of death during the COVID-19 pandemic. MethodsThis national death registry included all adult (aged [≥]18 years) deaths in England and Wales between 1st January 2014 and 30th June 2020. Analyses were based upon ICD-10 codes corresponding to the underlying cause of death as stated on the Medical Certificate of Cause of Death. Daily deaths during COVID-19 pandemic were compared against the expected daily deaths estimated using Farrington surveillance algorithm for daily historical data between 2014 and 2020, by place and cause of death. FindingsBetween 2nd March and 30th June 2020, there was an excess mortality of 57,860 (a proportional increase of 35%) compared with the expected deaths, of which 50,603 (86.2%) were COVID-19 related. Almost half the excess deaths occurred in care homes (25,611 deaths) where deaths were 55% higher than expected. One fifth of the excess deaths occurred in hospital (15,938 deaths; a proportional increase of 21%) with the remainder occurring at home (16,190 deaths; a proportional increase of 39%). At home, only 14% of 16,190 excess deaths were related to COVID-19, with 5,963 deaths due to cancer and 2,485 deaths due to cardiac disease, very few of which involved COVID-19. In care homes or hospices, 61% of the 25,611 excess deaths were related to COVID-19, 5,539 of which were due to respiratory disease and most of these (4,315 deaths) involved COVID-19. In hospital, there were 16,174 fewer deaths than expected which did not involve COVID-19, and there were 4,088 fewer deaths due to cancer and 1,398 fewer deaths due to cardiac disease than expected. InterpretationThe COVID-19 pandemic has resulted in a substantial increase in the absolute numbers of deaths occurring at home and care homes. There was a huge burden of excess deaths occurring in care homes, which were poorly characterised, and were likely to be, at least in part, the result of undiagnosed COVID-19. There was a smaller but important and ongoing excess in deaths at home, particularly from cancer and cardiac disease, which suggests avoidance of hospital care for non-COVID-19 conditions. FundingThe study is unfunded.

Indirect Impact of the COVID-19 Pandemic on Activity and Outcomes of Transcatheter and Surgical Treatment of Severe Aortic Stenosis in England (preprint)

BackgroundAortic stenosis requires timely treatment with either surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement (TAVR). This study aimed to investigate the indirect impact of COVID-19 on national SAVR and TAVR activity and outcomes. MethodsThe UK TAVR Registry and the National Adult Cardiac Surgery Audit were used to identify all TAVR and SAVR procedures in England, between January 2017 and June 2020. The number of isolated AVR, AVR+coronary artery bypass graft (CABG) surgery, AVR+other surgery and TAVR procedures per month was calculated. Separate negative binomial regression models were fit to monthly procedural counts, with functions of time as covariates, to estimate the expected change in activity during COVID-19. ResultsWe included 13376 TAVR cases, 12328 isolated AVR cases, 7829 AVR+CABG cases, and 6014 AVR+Other cases. Prior to March 2020 (UK lockdown), monthly TAVR activity was rising, with a slight decrease in SAVR activity during 2019. We observed a rapid and significant drop in TAVR and SAVR activity during the COVID-19 pandemic, especially for elective cases. Cumulatively, over the period March to June 2020, we estimated an expected 2294 (95% CI 1872, 2716) cases of severe aortic stenosis who have not received treatment. ConclusionThis study has demonstrated a significant decrease in TAVR and SAVR activity in England following the COVID-19 outbreak. This situation should be monitored closely, to ensure that monthly activity rapidly returns to expected levels. There is potential for significant backlog in the near-to-medium term, and potential for increased mortality in this population.