Résumé
Objectives: The COVID pandemic has imposed significant direct medical cost and resource use burden on healthcare systems. This study described the patient demographic and clinical characteristics, healthcare resource utilization and costs associated with acute COVID in adults in England. Method(s): This population-based retrospective study used linked primary care (Clinical Practice Research Datalink, CPRD, Aurum) and secondary care (Hospital Episode Statistics) data to identify: 1) hospitalized (admitted within 12 weeks of a positive COVID-19 PCR test between August 2020 and March 2021) and 2) non-hospitalized patients (positive test between August 2020 and January 2022 and managed in the community). Hospitalization and primary care costs, 12 weeks after COVID diagnosis, were calculated using 2021 UK healthcare reference costs. Result(s): We identified 1,706,368 adult COVID cases. For hospitalized (n=13,105) and non-hospitalized (n=1,693,263) cohorts, 84% and 41% considered high risk for severe COVID using PANORAMIC criteria and 41% and 13% using the UKHSA's Green Book for prioritized immunization groups, respectively. Among hospitalized cases, median (IQR) length of stay was 5 (2-7), 6 (4-10), 8 (5-14) days for 18-49 years, 50-64 years and >= 65 years, respectively;6% required mechanical ventilation support, and median (IQR) healthcare costs (critical care cost excluded) per-finished consultant episode due to COVID increased with age (18-49 years: 4364 (1362-4471), 50-64 years: 4379 (4364-5800), 65-74 years: 4395 (4364-5800), 75-84 years: 4473 (4364-5800) and 85+ years: 5800 (4370-5807). Among non-hospitalized cases, older adults were more likely to seek GP consultations (13% of persons age 85+, 9% age 75-84, 7% age 65-74, 5% age 50-64, 3% age 18-49). Of those with at least 1 GP visit, the median primary care consultation total cost in the non-hospitalized cohort was 16 (IQR 16-31). Conclusion(s): Our results quantify the substantial economic burden required to manage adult patients in the acute phase of COVID in England.Copyright © 2023
Résumé
Objectives: To estimate the public health impact of COVID-19 booster vaccination in the UK during Omicron predominance, and to explore the impact in counterfactual scenarios with different booster eligibility or uptake. Method(s): A dynamic transmission model was developed to compare public health outcomes for actual and hypothetical UK Spring and Autumn 2022 booster programs. Outcomes were projected over an extended time horizon from April 2022-April 2023, assuming continued Omicron predominance as in Jan-Mar 2022. Health outcomes included averted cases, hospitalizations, long COVID cases, and deaths. NHS resource use outcomes were averted general ward and intensive care unit bed days and general practitioner visits. Patient productivity loss outcomes considered productive days lost for those in and outside the paid work force. Analyses used publicly available data. Result(s): Model output suggested that actual Spring and Autumn 2022 programs, which offered boosters to older adults and vulnerable populations, would avert approximately 716,000 hospitalizations, 1.9M long COVID cases and 125,000 deaths compared to not offering boosters in Spring and Autumn 2022. In a scenario that broadened eligibility to individuals aged >=5 years, an estimated 1.6M hospitalizations, 8.3M long COVID cases, and 222,000 deaths were averted. A scenario assuming broadened eligibility and increased uptake produced the greatest benefit among scenarios analyzed: 1.6M hospitalizations, 9.2M long COVID cases, and 228,000 deaths averted;and 953M productive days saved. Scenarios offering boosters only to high-risk individuals (aged >=5 years) were also estimated to improve benefit relative to actual programs. High-risk-only programs assuming increased uptake provided about half to two-thirds of the benefit estimated for programs assuming broadened eligibility and increased uptake. Conclusion(s): UK booster vaccination programs were estimated to provide substantial benefit to public health during Omicron predominance. Public health benefits could be maximized by broadening booster eligibility to younger age groups and increasing uptake.Copyright © 2023
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Objectives: Clinical Practice Research Datalink (CPRD) Aurum contains primary care electronic health records, including vaccinations and nearly complete capture of SARS-CoV-2 PCR test results between August 2020-March 2022. Our objective was to build code lists to define a cohort of persons diagnosed with COVID in England using routinely collected health data. Method(s): Persons aged 1 year or older were indexed on first COVID diagnosis from August 1, 2020 - January 31, 2022. We developed SNOMED code lists to define high risk of severe disease: 1) National Health Service's (NHS) list of highest risk conditions;2) PANORAMIC trial inclusion criteria;3) UK Health Security Agency (UKHSA) clinical risk groups. COVID vaccinations were defined as of December 1, 2021 using medical and product codes. Code lists were developed using wildcard search terms which were reviewed by multiple independent reviewers, and inclusion/exclusion was determined by consensus. All lists for diagnoses were reviewed by a UK physician. Result(s): We identified 2,257,907 people diagnosed in primary care with COVID;46% were male and mean age was 34 years, comparable to governmental data for the same period reporting 47% of cases in England were male and mean age was 34 years. We identified 12% at high risk of severe disease using the NHS definition, 31% using the PANORAMIC trial criteria, and 10% using the UKHSA clinical risk groups. Among adults, 86.1% had >=1 and 80.2% had >=2 COVID vaccine doses (2% and 0.2% lower than official reports, respectively). Conclusion(s): This cohort represented the age and sex distribution of COVID cases, and the COVID vaccination coverage, in England through January 2022. Definitions were built using reproducible methods that can be leveraged for future work. The high capture of COVID vaccinations supports the use of this cohort to examine clinical and societal benefits of COVID vaccination in England.Copyright © 2023
Résumé
Objectives: Clinical Practice Research Datalink (CPRD) Aurum captures primary care electronic healthcare records for ~28% of the population in England. From August 2020-;March 2022, all SARS-CoV-2 polymerase chain reaction (PCR) tests performed were reported back to the patient's general practitioner (GP), making the CPRD a closed system uniquely positioned to answer COVID research questions. Method(s): We defined persons with COVID as those recorded in primary care with a positive PCR test from August 1, 2020-March 31, 2021. We required continuous registration with their GP practice for >=365 days prior to diagnosis to establish comorbid conditions, and eligibility for linkage to Hospital Episode Statistics (HES) Admitted Patient Care data. Hospitalizations for COVID were defined as persons admitted with a primary diagnosis of COVID (ICD-10-CM U07.1) within 12 weeks of the initial primary care diagnosis record. Result(s): Our cohort included 535,453 persons diagnosed in primary care with COVID, with 2% later hospitalized. The hospitalized group was 57% male, 42% current/former smokers, 35% obese46% with a Charlson Comorbidity Index >1 and 98% had never received any COVID vaccine. Hospitalizations increased with age;<0.1% of patients aged 1-17, 1% aged 18-49, 4% aged 50-64, 9% aged 65-74, 13% aged 74-84, and 11% of COVID cases aged >=85 were hospitalized. Persons living in socially disadvantaged areas were overrepresented in the hospitalized cohort (25% in the Index of Multiple Deprivation's most deprived quintile). Conclusion(s): Consistent with other studies, hospitalized COVID patients were disproportionately those with male sex, smoking history, high body mass index, comorbidity and unvaccinated status. Hospitalizations were more common with age, and for individuals living in socially and economically deprived communities. Understanding the demographic and clinical characteristics of this cohort can help contextualize future work describing healthcare resource utilization and costs, as well as the impact of vaccines, associated with COVID in England.Copyright © 2023
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Background: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are common and associated with respiratory function decline, increased morbidity and mortality. It is unclear how COVID19 has impacted AECOPD phenotype and if it is associated with worse outcomes compared to other infections in COPD patients. Aim(s): To explore changes in AECOPD clinical characteristics and outcomes during the COVID-19 pandemic. Method(s): A prospective cohort study of all adults >=18y admitted to either acute care hospital in Bristol UK, Aug 20- Jul 21. Patients presenting with signs/symptoms or a clinical/radiological diagnosis of acute respiratory disease were included. Result(s): 2557 hospitalisations with AECOPD were recorded (incidence 361 per 100000);13% had SARS-CoV-2 identified, 69% had another pathogen and 18% had no infectious aetiology identified. Patient characteristics and clinical features were similar for patients with and without COVID19. ICU admissions were more common with SARS-CoV-2 than other infections (4% v 1%, P<0.001). SARS-CoV-2 associated AECOPD had greater inpatient (25% v 9%, P<0.001) and 30-day mortality (25% v 12%, P<0.001) than AECOPD associated with other infections. Among all AECOPD patients who had received >=1 dose of any COVID vaccination, ICU admission rates were lower than for unvaccinated persons (4% v 0%, P<0.01). Discussion(s): SARS-CoV-2 infection was associated with worse outcomes among persons hospitalized with AECOPD. SARS-CoV-2 vaccination was effective in reducing disease severity and ICU admission. More data are needed about the effectiveness of COVID19 vaccines for modifying disease severity in COPD patients.
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S38 Figure 1ConclusionsOmicron infection was associated with less severe illness compared to Delta infection across three separate measures of severity. COVID-19 vaccination was independently associated with lower in-hospital disease severity, regardless of variant. Lower severity of Omicron combined with the ability of vaccine to further reduce severity may result in reduced pressure on healthcare services;however, the increased transmissibility of Omicron and potential for higher numbers of infections, particularly in elderly patients, may mitigate these benefits.Please refer to page A208 for declarations of interest related to this .
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Background. Existing disparities in vaccination rates across different social and demographic groups in the US may have been exacerbated during the Coronavirus Disease 2019 (COVID) pandemic, leaving some children at risk for vaccine-preventable diseases. This study examined sociodemographic and risk factors of PCV13 infant primary series vaccination completion, before and during COVID. Methods. Retrospective data from the Optum's de-identified Clinformatics Data Mart Database were used to create 3 cohorts: C1, Pre-COVID;C2, During COVID;C3, Cross-COVID (Figure 1). C1 and C3 (C1&3) were combined and compared with C2 for primary dosing completion before and during COVID according to infant/caregiver characteristics. Full completion (FC) was defined as receipt of 3 doses of PCV13 within 8 months of birth. M ultivariable logistic regression was used to compare FC vs. partial completion or no vaccine. Descriptive analyses were used to compare FC before and during COVID within subgroups. Figure 1: Study population and inclusion criteria Results. A total of 132,183 and 16,522 infants with at least 8 months of follow up time were enrolled in C1&3 and C2, respectively. FC was significantly higher before COVID-19 (adjusted odds ratio = 1.12, 95% CI: 1.07-1.17). Adjusting for COVID, FC was significantly lower in infants who were Black, with co-morbidities or risk factors, living in households with >1 children or no children, household annual income < $99k, residing in a neighborhood with median education of high school or below, and whose primary caregiver was aged <25 years (Table 1). Comparing FC before and during COVID, the % decline relative to pre-COVID was > 2% among infants who were White, residing in the Mountain, New England or Pacific regions, in a household with 2 children, >$100k annual income, employer-based insurance or HMO, and median neighborhood education of bachelor degree plus (Table 2). Conclusion. Health inequities in PCV13 primary series completion existed prior to COVID-19 and have remained during the pandemic. Our results, however, suggest that during the pandemic, groups traditionally considered to have better healthcare access (Whites, higher income, more education) had more impact on vaccine uptake. Further research is needed to confirm these trends as COVID mitigation measures subside.
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Background. Coronavirus Disease 2019 (COVID) mitigation measures may have unintended consequences, such as reduced or delayed access to routine immunizations. This study examined (1) PCV13 routine vaccination completion and adherence (C&A) among US infants before and during the COVID pandemic and (2) the relationship between primary dose C&A and booster dose C&A. Methods. Retrospective data from the Optum's de-identified Clinformatics Data Mart Database were used to create 3 cohorts: C1, Pre-COVID;C2, During COVID;C3, Cross-COVID (Figure 1). The completion was defined as number of PCV13 doses received within 8 months of birth, and the adherence was defined number of doses received at ACIP recommended time (@2, 4, 6 months, +/- 5 days). Univariable logistic regression was used to compare the odds of primary dose C&A in cohorts C1 and C3 vs C2 and descriptive analyses were used to explore primary dose C&A in relation to booster dose C&A. Results. A total of 172,916, 70,049, and 34,854 infants were included in C1, C2, and C3. Among infants with > 8 months of follow-up from birth (N=132,183 for C1&C3, 16,522 for C3), 3-primary dose completion was statistically significantly higher before COVID than during COVID (crude OR = 1.10, 95% CI: 1.06-1.15). The 3-primary dose adherence was also higher before COVID than during COVID (crude OR = 1.10, 95% CI: 1.05-1.15). Among infants with ≥2, 4 and 6 months of follow-up, adherence of each individual dose was consistently higher before COVID than during COVID (1st dose: OR = 1.03, 95% CI: 1.01-1.04;2nd dose: OR = 1.04, 95% CI: 1.01 -1.06;3rd dose: OR = 1.12, 95% CI: 1.08 - 1.15) (Table 1). Booster dose completion was higher in infants who completed or adhered to 3 primary doses than infants who completed or adhered to only 1 or 2 primary doses (Figure 2, Overall) and booster dose C&A was generally higher before COVID than during COVID (Figure 2, Cohort 1 vs. Cohort 3). Conclusion. These results indicated that PCV13 full completion was statistically lower during COVID, but the magnitude of the difference in infants was not extensive. Infants who completed or adhered to all three primary doses were more likely to complete or adhere to the booster dose. Further research is warranted as structured datasets mature to capture the full time span of COVID-19 mitigation measures.