COVID-19 vaccine booster significantly decreases the risk of intensive care unit hospitalization in heart failure patients during the Omicron variant wave: A population-based study.

Background: Heart failure (HF) patients are at higher risk of severe coronavirus disease 2019 (COVID-19). The Omicron variant has many novel mutations including those in the spike protein, leading to questions about vaccine effectiveness. The aim of this analysis was to evaluate the effectiveness of the COVID-19 vaccine with or without a booster (i.e., after the third dose) during the Omicron variant wave. Methods: Chronic heart failure patients in the Czech Republic were included in the analysis. COVID-19 infection was monitored from January 1st 2022 to March 31st 2022. The analysis was conducted on data collected in the National Health Information System. Vaccine effectiveness of vaccinated (with or without booster) vs. unvaccinated patients was analyzed for incidence of COVID-19, COVID-19-related hospitalizations, COVID-19 related intensive care unit admissions, and COVID-19 related mechanical ventilation/extracorporeal membrane oxygenation treatment. Findings: From a total 165,453 HF patients in the Czech Republic, 9,728 contracted COVID-19 (22.9% of them not vaccinated, 23.2% vaccinated and 53.8% vaccinated and boosted). Risk of intensive care unit (ICU) hospitalization was 7.6% in the unvaccinated group, 4.8% in the vaccinated group and 2.9% in the boosted group. The calculated effectiveness of the COVID-19 vaccine in prevention of ICU hospitalization in the vaccinated group was 41.9 and 76.6% in the boosted group. Interpretation: The results demonstrated moderate vaccine effectiveness in the prevention of severe COVID-19 in vaccinated but not boosted HF patients. Much stronger effectiveness was found in those who were vaccinated and boosted.

How the COVID-19 pandemic influences the prevalence of pressure injuries in the Czech Republic: A nationwide analysis of a health registry in 2020.

BACKGROUND: COVID-19 significantly influences the overall patient status and, in severe symptomatology, the ability to move and the low oxygenation of the tissue for the ventilated patient in Intensive Care Units (ICU). There is a higher risk for Pressure injuries (PIs) development. OBJECTIVES: The nationwide analyses of the National health register aimed to compare the prevalence of PIs reported before the pandemic COVID-19 started and during the pandemic in 2020. METHOD: A retrospective, nationwide cross-sectional analysis of data regarding the STROBE checklist collected by the National Health Information System (NHIS), focusing on the PIs reporting based on the International Classification of Diseases (ICD-10) diagnoses L89.0-L89.9 for PIs in 2020. The data from the pandemic period of COVID-19 in 2020 were compared to the prevalence of PI cases in the period 2010-2019 in the Czech Republic in all hospitalized patients. RESULTS: The total number of admissions for L89 in 2020 was 14,441, of which 1509 (10.4%) also had COVID-19. In the ICU were 4386 admissions, 12.1% of which also had COVID-19. A higher proportion of PIs is observed in patients hospitalized with COVID-19 than in patients without COVID-19 (2.62% vs 0.81%, respectively 1.05% vs 0.46% when standardized to the 2013 ESP = European Standard Population). In patients hospitalized in ICU, 3.68% with COVID-19 had PIs vs 1.42% without COVID-19 had PIs (1.97% vs 0.81% using the 2013 ESP). CONCLUSION: The national health registers analyses have proven that the prevalence of PIs was higher among patients hospitalized with the SARS-CoV-2 infection.

Covidogram as a simple tool for predicting severe course of COVID-19: population-based study.

OBJECTIVES: COVID-19 might either be entirely asymptomatic or manifest itself with a large variability of disease severity. It is beneficial to identify early patients with a high risk of severe course. The aim of the analysis was to develop a prognostic model for the prediction of the severe course of acute respiratory infection. DESIGN: A population-based study. SETTING: Czech Republic. PARTICIPANTS: The first 7455 consecutive patients with COVID-19 who were identified by reverse transcription-PCR testing from 1 March 2020 to 17 May 2020. PRIMARY OUTCOME: Severe course of COVID-19. RESULT: Of a total 6.2% of patients developed a severe course of COVID-19. Age, male sex, chronic kidney disease, chronic obstructive pulmonary disease, recent history of cancer, chronic heart failure, acid-related disorders treated with proton-pump inhibitors and diabetes mellitus were found to be independent negative prognostic factors (Area under the ROC Curve (AUC) was 0.893). The results were visualised by risk heat maps, and we called this diagram a 'covidogram'. Acid-related disorders treated with proton-pump inhibitors might represent a negative prognostic factor. CONCLUSION: We developed a very simple prediction model called 'covidogram', which is based on elementary independent variables (age, male sex and the presence of several chronic diseases) and represents a tool that makes it possible to identify-with a high reliability-patients who are at risk of a severe course of COVID-19. Obtained results open clinically relevant question about the role of acid-related disorders treated by proton-pump inhibitors as predictor for severe course of COVID-19.