COVID-19 Hospital Admissions Research Articles

59 Rapid Training During A Pandemic: An Evaluation of a Covid-19 Video E-Learning Package

As COVID-19 hospital admissions rose in 2020, there was a requirement to prepare wards and staff to care for COVID-19 patients, especially given the rapidly emerging and frequently evolving guidance, and high levels of re-deployment (GMC, 2020). In one London Trust, this need for educational material geared towards ward staff resulted in a multi-disciplinary simulation education team being commissioned to produce an e-learning resource. We measured the effectiveness of the resource for ward staff as well as any improvement in learners’ COVID-19 knowledge.The aim of the study was to quantify the effectiveness of an e-learning package in improving learners’ COVID-19 knowledge.In November 2020, an e-learning package was created, comprising a video series documenting the journey of a patient with COVID-19 covering admission to discharge (filmed from the patient perspective). This was integrated with content highlighting key aspects of COVID-19 care, ending with a mandatory assessment with an 80% pass mark. The e-learning was disseminated to hospital staff (doctors, nurses and allied healthcare professionals) with data collection via SurveyMonkey® from November 2020 for 3 months. Pre- and post-surveys were included to investigate the average improvement of learners and the impact of the resource on learner self-efficacy through self-rating on six learning outcomes. Free-text options in the post-survey allowed qualitative feedback, aiding continual resource development.In total, 108 learners, about half of whom were doctors, completed both surveys, with a significant difference (p < 0.01) between the pre- and post-learning results and an overall improvement in learners’ knowledge after completion of the e-learning (Average pre- and post-learning scores of learners’ self-reported knowledge and percentage improvement*Treatment escalation plans.E-learning can rapidly disseminate learning, at a time when most feel the pandemic has had a mixed or negative impact on learning opportunities (Dean E, 2020; GMC, 2020). The e-learning is continually updated with new evidence, with plans to expand access across London. An iterative process was undertaken with updates in response to learner feedback due to the speed at which the resource needed to be developed, for example, turning resources into PDFs for home access. The e-learning remains live given rising COVID-19 cases. Further work is required to investigate the effectiveness of this resource across London and how beneficial it has been for clinical work.

Two-dose ChAdOx1 nCoV-19 vaccine protection against COVID-19 hospital admissions and deaths over time: a retrospective, population-based cohort study in Scotland and Brazil

SummaryBackgroundReports suggest that COVID-19 vaccine effectiveness is decreasing, but whether this reflects waning or new SARS-CoV-2 variants—especially delta (B.1.617.2)—is unclear. We investigated the association between time since two doses of ChAdOx1 nCoV-19 vaccine and risk of severe COVID-19 outcomes in Scotland (where delta was dominant), with comparative analyses in Brazil (where delta was uncommon).MethodsIn this retrospective, population-based cohort study in Brazil and Scotland, we linked national databases from the EAVE II study in Scotland; and the COVID-19 Vaccination Campaign, Acute Respiratory Infection Suspected Cases, and Severe Acute Respiratory Infection/Illness datasets in Brazil) for vaccination, laboratory testing, clinical, and mortality data. We defined cohorts of adults (aged ≥18 years) who received two doses of ChAdOx1 nCoV-19 and compared rates of severe COVID-19 outcomes (ie, COVID-19 hospital admission or death) across fortnightly periods, relative to 2–3 weeks after the second dose. Entry to the Scotland cohort started from May 19, 2021, and entry to the Brazil cohort started from Jan 18, 2021. Follow-up in both cohorts was until Oct 25, 2021. Poisson regression was used to estimate rate ratios (RRs) and vaccine effectiveness, with 95% CIs.Findings1 972 454 adults received two doses of ChAdOx1 nCoV-19 in Scotland and 42 558 839 in Brazil, with longer follow-up in Scotland because two-dose vaccination began earlier in Scotland than in Brazil. In Scotland, RRs for severe COVID-19 increased to 2·01 (95% CI 1·54–2·62) at 10–11 weeks, 3·01 (2·26–3·99) at 14–15 weeks, and 5·43 (4·00–7·38) at 18–19 weeks after the second dose. The pattern of results was similar in Brazil, with RRs of 2·29 (2·01–2·61) at 10–11 weeks, 3·10 (2·63–3·64) at 14–15 weeks, and 4·71 (3·83–5·78) at 18–19 weeks after the second dose. In Scotland, vaccine effectiveness decreased from 83·7% (95% CI 79·7–87·0) at 2–3 weeks, to 75·9% (72·9–78·6) at 14–15 weeks, and 63·7% (59·6–67·4) at 18–19 weeks after the second dose. In Brazil, vaccine effectiveness decreased from 86·4% (85·4–87·3) at 2–3 weeks, to 59·7% (54·6–64·2) at 14–15 weeks, and 42·2% (32·4–50·6) at 18–19 weeks.InterpretationWe found waning vaccine protection of ChAdOx1 nCoV-19 against COVID-19 hospital admissions and deaths in both Scotland and Brazil, this becoming evident within three months of the second vaccine dose. Consideration needs to be given to providing booster vaccine doses for people who have received ChAdOx1 nCoV-19.FundingUK Research and Innovation (Medical Research Council), Scottish Government, Research and Innovation Industrial Strategy Challenge Fund, Health Data Research UK, Fiocruz, Fazer o Bem Faz Bem Programme; Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro.TranslationFor the Portuguese translation of the abstract see Supplementary Materials section.

Early Documentation of Life-Sustaining Treatment Orders Prior to Diagnosis of COVID-19 in Nursing Home Residents

Public health guidelines to prevent spreading COVID-19 place older adults at risk of loneliness and social isolation. Evidence suggests that participation protects older adults from such detrimental outcomes, therefore we aimed to identify the factors associated with participation in life roles among older adults living in the community during the COVID-19 pandemic. We conducted a telesurvey on a random sample of community-dwelling older adults living in Hamilton, Ontario, Canada, between May and July 2020. Outcome measures included participation in life roles, physical function, physical activity, mobility, mental health, nutrition, and demographics. We conducted two multivariate regression analyses with the Late Life Disability Instrument’s (LLDI) frequency and limitations scales as the dependent variables. Candidate factors were organized by International Classification of Functioning, Disability, and Health (ICF) framework domains; personal factors, body functions and structures, activities, and environmental factors. A total of 272 older adults completed the telesurvey (mean age 78 ±7.3 yrs, 70% female). Age, using walking aids, driving status, household income, education, mental health, nutrition, physical function, and dwelling type explained 47.1% (p<0.001) of the variance observed in LLDI frequency scores. Using walking aids, driving status, receiving health assistance, mental health, and physical function explained 33.9% (p<0.001) of the variance observed in LLDI limitation scores. These findings highlight factors from multiple ICF domains that are associated with participation limitation and frequency among older adults during the pandemic. Our findings have implications for developing public health initiatives to mitigate the effects of the pandemic on the participation of older adults.

P-BN29 Laparoscopic cholecystectomy during the era of a Covid-19 pandemic; a cohort study

BackgroundThe Covid-19 era has created a lot of uncertainty for management of common emergency and elective surgical conditions such as acute cholecystitis and other gallstone disease related emergency admissions. At our centre we continued to provide early operative intervention for patients presenting with biliary disease and acute cholecystitis throughout the Covid-19 era during both the 1st and the 2nd waves, despite a significant local surge in Covid-19 hospital admissions impacting on the available resources. Here we present the outcomes of our experience of managing such patients during the Covid-19 pandemic of 2020 of both 1st and 2nd waves.MethodsA retrospective observational study was performed on all patients presenting with acute cholecystitis and biliary disease who underwent elective and emergency surgical intervention at UHNM (University Hospital of North Midlands) during the second wave of the Covid pandemic (2nd CW) between 14/10/2020 and 14/01/2021). These were then compared with patients who presented in the first Covid wave (1st CW) of 1/03/020 – 30/06/2020,) and a control group pre-covid (CG) 1/03/2019 – 30/06/2019, Patients were identified using ICD-10 codes K80 (Cholelithiasis) and K81 (Cholecystitis) and OPCS codes.J18.1 – J18.5. Primary endpoints were length of stay, 30 day readmission rates, mortality and morbidity.ResultsA total of 146 patients were identified who underwent laparoscopic cholecystectomy during the study time period (2ndCW). In comparison to 104 patients during the first covid wave cohort (1st CW) and the control group (CG) of 217 patients in the preceding non covid year. Length of stay (LOS) was significantly lower in the 2ndCW cohort in comparison to both the previous 1st CW cohort and the CG cohort (p < 0.0001), with readmissions also being statistically lower (5% vs 15% and 12% respectively p = 0.027). There was no statistical difference in outcomes for post-operative complications as per Clavien-Dindo classification.ConclusionsOverall our study demonstrates that the recommended good practice of early surgical intervention in both emergency and elective gallstone disease can continue during the pandemic periods without any significant impact on patient care & outcomes. Also during this period length of stay was significantly shorted and lower 30 day readmission rates which are likely to be multifactorial but where lessons could be potentially learnt.

535. Comparison of Outcomes in Patients Positive for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection After Monoclonal Antibody Therapy (MAT) with Bamlamivimab or Casirivimab-Imdevimab

BackgroundLimited options currently exist for treatment of patients diagnosed with symptomatic coronavirus 2019 (COVID-19). Monoclonal antibody therapy (MAT) has been investigated as a therapeutic option for symptomatic COVID-19 patients in the outpatient setting at high-risk for progression to severe disease based on emergency use authorization (EUA) criteria. No published studies have compared outcomes for patients treated with different MAT for COVID-19.MethodsThis was a single-center, retrospective cohort study at The Ohio State University Wexner Medical Center to compare COVID-19-related emergency room (ER) visits, admissions, and mortality at 30 days after MAT infusion for adult patients with symptomatic SARS-CoV-2 between November 16, 2020 and February 2, 2021 who received bamlanivimab versus those who received casirivimab-imdevimab. Statistical analysis used logistic regression analysis to determine the odds ratio (OR) to evaluate the relationship between patient characteristics, MAT, and outcomes.ResultsThe cohort included 943 patients with SARS-CoV-2 who received MAT, including 658 patients who received bamlanivimab and 285 who received casirivimab-imdevimab. Outcome results between patients who received bamlanivimab and casirivimab-imdevimab showed no statistically significant difference seen in the number of COVID-19 related ER visits (3.2% vs 3.5%, p = 0.80), hospital admissions (4.6% vs 2.8%, p = 0.21), or mortality (0.5% vs 0.7%, p = 0.63). Multivariate analysis showed no statistically significant difference in outcomes between the groups when accounting for potential confounders. As reflected in the Table, chronic lymphocytic leukemia (CLL), gender, and asthma were associated with increased COVID-19 related ER visit within 30 days of infusion and age, chronic obstructive pulmonary disease, CLL, and lupus were associated with increased risk for COVID-19 related admission within 30 days of infusion. Age and obesity with body mass index greater than 35 mg/kg2 were associated with increased risk for COVID-19 related mortality at 30 days. ConclusionCOVID-19 related outcomes were similar when comparing patients with COVID-19 treated with bamlanivimab versus those treated with casirivimab-imdevimab.Disclosures Mohammad Mahdee Sobhanie, M.D., Regeneron (Scientific Research Study Investigator)Regeneron (Scientific Research Study Investigator, Was a sub-investigator for Regeneron 2066 and 2069) Carlos Malvestutto, M.D., Lilly (Scientific Research Study Investigator)Regeneron Inc. (Scientific Research Study Investigator)ViiV Healthcare (Advisor or Review Panel member)

321. Clinical Characteristics of Hospitalized HIV Patients with COVID-19 in Miami

BackgroundHIV is a significant risk factor for acquiring SARS-CoV-2 infection and is associated with increased risk of mortality from COVID-19. Information on the clinical characteristics of persons living with HIV(PLWH) hospitalized due to COVID-19 infection are inconsistent and sparse. As Miami area is currently the epicenter of new HIV infection, an understanding of the clinical characteristics of COVID-19 in hospitalized HIV patients in South Florida is needful. MethodsThis is a single center retrospective case series analysis of individuals with HIV hospitalized with COVID-19 from March 1, 2020 to March 31, 2021. We analyzed relevant data related to demographics, comorbidities, clinical presentation, HIV viral load and CD4 profiles, serum inflammatory markers, COVID-19 treatment and survival. Results25 patients were identified. The demographic, socioeconomic and clinical data are described in Table 1. 88% of subjects. were on HIV antiretroviral treatment (ART) but only 60% had CD4 counts > 200cells/mm3. More study results are shown in Figures 1 and 2. The serum ferritin ranged from 29 to 40,577ng/mL while serum creatinine ranged from 0.51 to 2.8mg/dL, mean 1.04± 0.46 mg/dL. The Pearson correlation between serum ferritin and serum creatinine (SCreat) was 0.715, p < 0.001 and between lymphopenia and SCreat, it was 0.544, p=0.005. 40% of subjects with CD4 < 200 cells/mm3 died compared to 33% with CD4 > 200 cells/mm3.Figure 1. Bar chart showing month and year of hospital admission for COVID-19 in HIV infected persons Table 1 Figure 2. Bar chart showing different percentages of the cohort who received the different COVID-19 treatment illustrated ConclusionThis first case series of hospitalized COVID-19 patients in PLWH illustrate important demographic and socioeconomic trends with an imbalance towards African Americans. The group mortality rate appear to be higher compared to the overall mortality rate of COVID-19 reported in the general population or other published HIV-COVID-19 coinfection case series. This is not surprising given the fact that only 64% of the cohort had undetected viral load and only 60% had CD4 counts > 200 despite reported 88% ART use. Correlations between lymphopenia and serum ferritin on one hand and serum creatinine on the other hand should be further explored in a larger case series or prospective study. Since COVID-19 mortality is related to HIV severity, improving socioeconomic status and ART compliance could play a big role in positively improving outcome of hospitalized HIV-COVID 19 patients. Disclosures All Authors: No reported disclosures

PP259 Invisible Resilience: The Value Of Medical Technology In Reducing Population And Health Systems’ Vulnerability To COVID-19.

IntroductionCOVID-19 has exposed population and health systems’ vulnerability to a highly infectious disease. People with diabetes have a higher risk of COVID-19 hospitalization and death than those without. Medicines that control blood glucose reduce this risk. We quantified COVID-19 hospital admissions and deaths averted by diabetes medicines in the UK during the March-May 2020 wave.MethodsWe estimated COVID-19 hospital and intensive care unit (ICU) admissions averted and COVID-19 hospital deaths avoided by diabetes medicines, considering a counterfactual where those medicines were not available. We used published UK-data sources on diabetes prevalence, proportion of patients achieving diabetes control with medicines, COVID-19 infection risk, probabilities for COVID-19 hospital admission, subsequent ICU admission and hospital death. We calculated the relative risk reduction of controlled vs. uncontrolled diabetes on COVID-19 hospital or ICU admission (71% and 66%, respectively), and hospital death (38%) from the UK Open Safely data.ResultsDiabetes medicines are estimated to have averted 17,417 hospital admissions, 2,752 ICU-admissions and 438 hospital deaths due to COVID-19 compared to a counterfactual where those medicines had not been available in the UK.ConclusionsEffective medicines to control diabetes contribute to population and health systems resilience against COVID-19. Health technology assessment and policy makers should recognize that adoption and usage of health technology reduces societies’ vulnerability to similar shocks.

Persistent pulmonary pathology after COVID-19 is associated with high viral load, weak antibody response, and high levels of matrix metalloproteinase-9

The association between pulmonary sequelae and markers of disease severity, as well as pro-fibrotic mediators, were studied in 108 patients 3 months after hospital admission for COVID-19. The COPD assessment test (CAT-score), spirometry, diffusion capacity of the lungs (DLCO), and chest-CT were performed at 23 Norwegian hospitals included in the NOR-SOLIDARITY trial, an open-labelled, randomised clinical trial, investigating the efficacy of remdesivir and hydroxychloroquine (HCQ). Thirty-eight percent had a CAT-score ≥ 10. DLCO was below the lower limit of normal in 29.6%. Ground-glass opacities were present in 39.8% on chest-CT, parenchymal bands were found in 41.7%. At admission, low pO2/FiO2 ratio, ICU treatment, high viral load, and low antibody levels, were predictors of a poorer pulmonary outcome after 3 months. High levels of matrix metalloproteinase (MMP)-9 during hospitalisation and at 3 months were associated with persistent CT-findings. Except for a negative effect of remdesivir on CAT-score, we found no effect of remdesivir or HCQ on long-term pulmonary outcomes. Three months after hospital admission for COVID-19, a high prevalence of respiratory symptoms, reduced DLCO, and persistent CT-findings was observed. Low pO2/FiO2 ratio, ICU-admission, high viral load, low antibody levels, and high levels of MMP-9 were associated with a worse pulmonary outcome.

Predicting regional COVID-19 hospital admissions in Sweden using mobility data

The transmission of COVID-19 is dependent on social mixing, the basic rate of which varies with sociodemographic, cultural, and geographic factors. Alterations in social mixing and subsequent changes in transmission dynamics eventually affect hospital admissions. We employ these observations to model and predict regional hospital admissions in Sweden during the COVID-19 pandemic. We use an SEIR-model for each region in Sweden in which the social mixing is assumed to depend on mobility data from public transport utilisation and locations for mobile phone usage. The results show that the model could capture the timing of the first and beginning of the second wave of the pandemic 3 weeks in advance without any additional assumptions about seasonality. Further, we show that for two major regions of Sweden, models with public transport data outperform models using mobile phone usage. We conclude that a model based on routinely collected mobility data makes it possible to predict future hospital admissions for COVID-19 3 weeks in advance.

Analysis of Covid-19 Hospital Admissions in Ivano-Frankivsk, Ukraine

The Covid-19 pandemic has a substantial impact on socioeconomic, political, demographic, and other aspects of life. Effective healthcare is, however, a primary determinant of successful fighting against Covid-19. The analysis of local healthcare indicators serves as a source for estimating pandemic magnitude and the adaptation of healthcare at a national level. In this study, the rates of Covid-19 hospital admissions to the Ivano-Frankivsk City Hospital, Ukraine, from April 2020 to May 2021 were analysed. All cases were grouped by age, sex, and the type of admission; data were analyzed monthly and seasonally. The peaks of hospital admissions were observed in November 2020 and March 2021; however, the highest mortality rates were seen from August to November 2020. The analysis of age- and sex-disaggregated Covid-19 mortality data showed the predominance of elderly males (61.9%, 66.6 ± 3.9 years) over females (38.1%, 71.8 ± 2.3 years). The ratio of hospital admissions was unstable: the percentage of emergency, GP-referred and self-referred admissions was similar from April to May 2020; however, GP-referred admissions prevailed, and the number of self-referral patients decreased twice between March and May 2021. In conclusions, the trends in hospital admissions were similar to those reported in other studies. However, the differences in time frames and socio-demographic characteristics were observed that highlights the importance of considering regional, social and geographic aspects of the population when improving the capacity of healthcare system and establishing effective preventive measures against the pandemic at the local level.

Risk of COVID-19 hospital admission among children aged 5–17 years with asthma in Scotland: a national incident cohort study

SummaryBackgroundThere is an urgent need to inform policy deliberations about whether children with asthma should be vaccinated against SARS-CoV-2 and, if so, which subset of children with asthma should be prioritised. We were asked by the UK's Joint Commission on Vaccination and Immunisation to undertake an urgent analysis to identify which children with asthma were at increased risk of serious COVID-19 outcomes.MethodsThis national incident cohort study was done in all children in Scotland aged 5–17 years who were included in the linked dataset of Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II). We used data from EAVE II to investigate the risk of COVID-19 hospitalisation among children with markers of uncontrolled asthma defined by either previous asthma hospital admission or oral corticosteroid prescription in the previous 2 years. A Cox proportional hazard model was used to derive hazard ratios (HRs) and 95% CIs for the association between asthma and COVID-19 hospital admission, stratified by markers of asthma control (previous asthma hospital admission and number of previous prescriptions for oral corticosteroids within 2 years of the study start date). Analyses were adjusted for age, sex, socioeconomic status, comorbidity, and previous hospital admission.FindingsBetween March 1, 2020, and July 27, 2021, 752 867 children were included in the EAVE II dataset, 63 463 (8·4%) of whom had clinician-diagnosed-and-recorded asthma. Of these, 4339 (6·8%) had RT-PCR confirmed SARS-CoV-2 infection. In those with confirmed infection, 67 (1·5%) were admitted to hospital with COVID-19. Among the 689 404 children without asthma, 40 231 (5·8%) had confirmed SARS-CoV-2 infections, of whom 382 (0·9%) were admitted to hospital with COVID-19. The rate of COVID-19 hospital admission was higher in children with poorly controlled asthma than in those with well controlled asthma or without asthma. When using previous hospital admission for asthma as the marker of uncontrolled asthma, the adjusted HR was 6·40 (95% CI 3·27–12·53) for those with poorly controlled asthma and 1·36 (1·02–1·80) for those with well controlled asthma, compared with those with no asthma. When using oral corticosteroid prescriptions as the marker of uncontrolled asthma, the adjusted HR was 3·38 (1·84–6·21) for those with three or more prescribed courses of corticosteroids, 3·53 (1·87–6·67) for those with two prescribed courses of corticosteroids, 1·52 (0·90–2·57) for those with one prescribed course of corticosteroids, and 1·34 (0·98–1·82) for those with no prescribed course, compared with those with no asthma.InterpretationSchool-aged children with asthma with previous recent hospital admission or two or more courses of oral corticosteroids are at markedly increased risk of COVID-19 hospital admission and should be considered a priority for vaccinations. This would translate into 9124 children across Scotland and an estimated 109 448 children across the UK.FundingUK Research and Innovation (Medical Research Council), Research and Innovation Industrial Strategy Challenge Fund, Health Data Research UK, and Scottish Government.

Risk of COVID-19 hospital admission among children with asthma

Throughout the COVID-19 pandemic it has been clear that children are at substantially lower risk of severe disease than adults.1 Nevertheless, large groups of children with comorbidities have been asked to shield for long durations, forgoing their access to face-to-face education and reducing their social contact, with substantial potential detriment to their mental health and emotional wellbeing. Identification of subgroups of children with comorbidities at increased risk of severe disease compared with their counterparts has been much slower to become evident than in adults because of the low rates of severe disease.

Non-pharmaceutical interventions, vaccination, and the SARS-CoV-2 delta variant in England: a mathematical modelling study

SummaryBackgroundEngland's COVID-19 roadmap out of lockdown policy set out the timeline and conditions for the stepwise lifting of non-pharmaceutical interventions (NPIs) as vaccination roll-out continued, with step one starting on March 8, 2021. In this study, we assess the roadmap, the impact of the delta (B.1.617.2) variant of SARS-CoV-2, and potential future epidemic trajectories.MethodsThis mathematical modelling study was done to assess the UK Government's four-step process to easing lockdown restrictions in England, UK. We extended a previously described model of SARS-CoV-2 transmission to incorporate vaccination and multi-strain dynamics to explicitly capture the emergence of the delta variant. We calibrated the model to English surveillance data, including hospital admissions, hospital occupancy, seroprevalence data, and population-level PCR testing data using a Bayesian evidence synthesis framework, then modelled the potential trajectory of the epidemic for a range of different schedules for relaxing NPIs. We estimated the resulting number of daily infections and hospital admissions, and daily and cumulative deaths. Three scenarios spanning a range of optimistic to pessimistic vaccine effectiveness, waning natural immunity, and cross-protection from previous infections were investigated. We also considered three levels of mixing after the lifting of restrictions.FindingsThe roadmap policy was successful in offsetting the increased transmission resulting from lifting NPIs starting on March 8, 2021, with increasing population immunity through vaccination. However, because of the emergence of the delta variant, with an estimated transmission advantage of 76% (95% credible interval [95% CrI] 69–83) over alpha, fully lifting NPIs on June 21, 2021, as originally planned might have led to 3900 (95% CrI 1500–5700) peak daily hospital admissions under our central parameter scenario. Delaying until July 19, 2021, reduced peak hospital admissions by three fold to 1400 (95% CrI 700–1700) per day. There was substantial uncertainty in the epidemic trajectory, with particular sensitivity to the transmissibility of delta, level of mixing, and estimates of vaccine effectiveness.InterpretationOur findings show that the risk of a large wave of COVID-19 hospital admissions resulting from lifting NPIs can be substantially mitigated if the timing of NPI relaxation is carefully balanced against vaccination coverage. However, with the delta variant, it might not be possible to fully lift NPIs without a third wave of hospital admissions and deaths, even if vaccination coverage is high. Variants of concern, their transmissibility, vaccine uptake, and vaccine effectiveness must be carefully monitored as countries relax pandemic control measures.FundingNational Institute for Health Research, UK Medical Research Council, Wellcome Trust, and UK Foreign, Commonwealth and Development Office.

Nowcasting towards sustainable SARS-CoV-2 endemicity

Nowcasting towards sustainable SARS-CoV-2 endemicity

Socioeconomic and demographic risk factors in COVID-19 hospitalization among immigrants and ethnic minorities.

BackgroundImmigrants and ethnic minorities have been shown to be at increased risk of hospitalization from COVID-19. Our aim was to analyse the contribution of socioeconomic and demographic risk factors on hospital admissions for COVID-19 among immigrants and ethnic minorities compared to the majority population.MethodsWe used nationwide register data on all hospitalized COVID-19 cases between February and June 2020 (N = 2232) and random controls from the general population (N = 498 117). We performed logistic regression analyses and adjusted for age, sex, comorbidity, and socioeconomic and demographic factors. The main outcome measure was hospitalization with COVID-19 and was estimated using odds ratios (OR) and 95% confidence intervals (95% CI).ResultsAmong 2232 COVID-19 cases, the OR of hospitalization with COVID-19 among immigrants and descendants of non-Western origin was 2.5 times higher (95% CI: 2.23–2.89) compared with individuals of Danish origin with most pronounced results among individuals from Iraq, Morocco, Pakistan and Somalia. The OR was largely attributed to comorbidity and socioeconomic factors, especially household size, occupation, and population density.ConclusionThere is a significantly higher OR of hospitalization with COVID-19 among non-Western immigrants and ethnic minorities compared with ethnic Danes. This knowledge is crucial for health policymakers and practitioners in both the current and future pandemics to identify more vulnerable groups and target prevention initiatives.

Increased risk of death in COVID-19 hospital admissions during the second wave as compared to the first epidemic wave: a prospective, single-centre cohort study in London, UK

BackgroundThe second coronavirus disease (COVID-19) epidemic wave in the UK progressed aggressively and was characterised by the emergence and circulation of variant of concern alpha (VOC 202012/01). The impact of this variant on in-hospital COVID-19-specific mortality has not been widely studied. We aimed to compare mortality, clinical characteristics, and management of COVID-19 patients across epidemic waves to better understand the progression of the epidemic at a hospital level and support resource planning.MethodsWe conducted an analytical, dynamic cohort study in a large hospital in South London. We included all adults (≥ 18 years) with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) who required hospital admission to COVID-19-specific wards between January 2020 and March 2021 (n = 2701). Outcome was COVID-19-specific in-hospital mortality ascertained through Medical Certificate Cause of Death.ResultsIn the second wave, the number of COVID-19 admissions doubled, and the crude mortality rate dropped 25% (1.66 versus 2.23 per 100 person-days in second and first wave, respectively). After accounting for age, sex, dexamethasone, oxygen requirements, symptoms at admission and Charlson Comorbidity Index, mortality hazard ratio associated with COVID-19 admissions was 1.62 (95% CI 1.26, 2.08) times higher in the second wave.ConclusionsAlthough crude mortality rates dropped during the second wave, the multivariable analysis suggests a higher underlying risk of death for COVID-19 admissions in the second wave. These findings are ecologically correlated with an increased circulation of SARS-CoV-2 variant of concern 202012/1 (alpha). Availability of improved management, particularly dexamethasone, was important in reducing risk of death.

Predictors of adverse outcomes in COVID-19: A retrospective cohort study comparing the first two waves of COVID-19 hospital admissions in London, with a focus on diabetes

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)

Inpatient Hospital Costs for COVID-19 Patients in the United States.

IntroductionReliable cost and resource use data for COVID-19 hospitalizations are crucial to better inform local healthcare resource decisions; however, available data are limited and vary significantly.MethodsCOVID-19 hospital admissions data from the Premier Healthcare Database were evaluated to estimate hospital costs, length of stay (LOS), and discharge status. Adult COVID-19 patients (ICD-10-CM: U07.1) hospitalized in the US from April 1 to December 31, 2020, were identified. Analyses were stratified by patient and hospital characteristics, levels of care during hospitalization, and discharge status. Factors associated with changes in costs, LOS, and discharge status were estimated using regression analyses. Monthly trends in costs, LOS, and discharge status were examined.ResultsOf the 247,590 hospitalized COVID-19 patients, 49% were women, 76% were aged ≥ 50, and 36% were admitted to intensive care units (ICU). Overall median hospital LOS, cost, and cost/day were 6 days, US$11,267, and $1772, respectively; overall median ICU LOS, cost, and cost/day were 5 days, $13,443, and $2902, respectively. Patients requiring mechanical ventilation had the highest hospital and ICU median costs ($47,454 and $41,510) and LOS (16 and 11 days), respectively. Overall, 14% of patients died in hospital and 52% were discharged home. Older age, Black and Caucasian race, hypertension and obesity, treatment with extracorporeal membrane oxygenation, and discharge to long-term care facilities were major drivers of costs, LOS, and risk of death. Admissions in December had significantly lower median hospital and ICU costs and LOS compared to April.ConclusionThe burden from COVID-19 in terms of hospital and ICU costs and LOS has been substantial, though significant decreases in cost and LOS and increases in the share of hospital discharges to home were observed from April to December 2020. These estimates will be useful for inputs to economic models, disease burden forecasts, and local healthcare resource planning.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12325-021-01887-4.

COVID-19 hospital admissions and deaths after BNT162b2 and ChAdOx1 nCoV-19 vaccinations in 2·57 million people in Scotland (EAVE II): a prospective cohort study

SummaryBackgroundThe UK COVID-19 vaccination programme has prioritised vaccination of those at the highest risk of COVID-19 mortality and hospitalisation. The programme was rolled out in Scotland during winter 2020–21, when SARS-CoV-2 infection rates were at their highest since the pandemic started, despite social distancing measures being in place. We aimed to estimate the frequency of COVID-19 hospitalisation or death in people who received at least one vaccine dose and characterise these individuals.MethodsWe conducted a prospective cohort study using the Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) national surveillance platform, which contained linked vaccination, primary care, RT-PCR testing, hospitalisation, and mortality records for 5·4 million people (around 99% of the population) in Scotland. Individuals were followed up from receiving their first dose of the BNT162b2 (Pfizer–BioNTech) or ChAdOx1 nCoV-19 (Oxford–AstraZeneca) COVID-19 vaccines until admission to hospital for COVID-19, death, or the end of the study period on April 18, 2021. We used a time-dependent Poisson regression model to estimate rate ratios (RRs) for demographic and clinical factors associated with COVID-19 hospitalisation or death 14 days or more after the first vaccine dose, stratified by vaccine type.FindingsBetween Dec 8, 2020, and April 18, 2021, 2 572 008 individuals received their first dose of vaccine—841 090 (32·7%) received BNT162b2 and 1 730 918 (67·3%) received ChAdOx1. 1196 (<0·1%) individuals were admitted to hospital or died due to COVID-19 illness (883 hospitalised, of whom 228 died, and 313 who died due to COVID-19 without hospitalisation) 14 days or more after their first vaccine dose. These severe COVID-19 outcomes were associated with older age (≥80 years vs 18–64 years adjusted RR 4·75, 95% CI 3·85–5·87), comorbidities (five or more risk groups vs less than five risk groups 4·24, 3·34–5·39), hospitalisation in the previous 4 weeks (3·00, 2·47–3·65), high-risk occupations (ten or more previous COVID-19 tests vs less than ten previous COVID-19 tests 2·14, 1·62–2·81), care home residence (1·63, 1·32–2·02), socioeconomic deprivation (most deprived quintile vs least deprived quintile 1·57, 1·30–1·90), being male (1·27, 1·13–1·43), and being an ex-smoker (ex-smoker vs non-smoker 1·18, 1·01–1·38). A history of COVID-19 before vaccination was protective (0·40, 0·29–0·54).InterpretationCOVID-19 hospitalisations and deaths were uncommon 14 days or more after the first vaccine dose in this national analysis in the context of a high background incidence of SARS-CoV-2 infection and with extensive social distancing measures in place. Sociodemographic and clinical features known to increase the risk of severe disease in unvaccinated populations were also associated with severe outcomes in people receiving their first dose of vaccine and could help inform case management and future vaccine policy formulation.FundingUK Research and Innovation (Medical Research Council), Research and Innovation Industrial Strategy Challenge Fund, Scottish Government, and Health Data Research UK.

Clinical outcomes in patients co-infected with COVID-19 and Staphylococcus aureus: a scoping review

BackgroundEndemic to the hospital environment, Staphylococcus aureus (S. aureus) is a leading bacterial pathogen that causes deadly infections such as bacteremia and endocarditis. In past viral pandemics, it has been the principal cause of secondary bacterial infections, significantly increasing patient mortality rates. Our world now combats the rapid spread of COVID-19, leading to a pandemic with a death toll greatly surpassing those of many past pandemics. However, the impact of co-infection with S. aureus remains unclear. Therefore, we aimed to perform a high-quality scoping review of the literature to synthesize the existing evidence on the clinical outcomes of COVID-19 and S. aureus co-infection.MethodsA scoping review of the literature was conducted in PubMed, Scopus, Ovid MEDLINE, CINAHL, ScienceDirect, medRxiv, and the WHO COVID-19 database using a combination of terms. Articles that were in English, included patients infected with both COVID-19 and S. aureus, and provided a description of clinical outcomes for patients were eligible. From these articles, the following data were extracted: type of staphylococcal species, onset of co-infection, patient sex, age, symptoms, hospital interventions, and clinical outcomes. Quality assessments of final studies were also conducted using the Joanna Briggs Institute’s critical appraisal tools.ResultsSearches generated a total of 1922 publications, and 28 articles were eligible for the final analysis. Of the 115 co-infected patients, there were a total of 71 deaths (61.7%) and 41 discharges (35.7%), with 62 patients (53.9%) requiring ICU admission. Patients were infected with methicillin-sensitive and methicillin-resistant strains of S. aureus, with the majority (76.5%) acquiring co-infection with S. aureus following hospital admission for COVID-19. Aside from antibiotics, the most commonly reported hospital interventions were intubation with mechanical ventilation (74.8 %), central venous catheter (19.1 %), and corticosteroids (13.0 %).ConclusionsGiven the mortality rates reported thus far for patients co-infected with S. aureus and COVID-19, COVID-19 vaccination and outpatient treatment may be key initiatives for reducing hospital admission and S. aureus co-infection risk. Physician vigilance is recommended during COVID-19 interventions that may increase the risk of bacterial co-infection with pathogens, such as S. aureus, as the medical community’s understanding of these infection processes continues to evolve.