COVID-19 infection has a significant burden on global morbidity and mortality, especially in elderly people and in patients with chronic respiratory and cardiovascular diseases, such as pulmonary hypertension (PH). We aimed to evaluate the impact of COVID-19 infection on patients diagnosed with severe chronic PH. A single-center prospective cohort study was performed. Patients were enrolled from 1 November 2020 to 31 December 2022. Follow-up was until 31 December 2023. Data were collected on PH diagnosis, clinical presentation, outcomes, brain natriuretic peptide (BNP) levels, pulmonary function test with lung diffusion capacity for carbon monoxide (DLCO), and computed tomography pulmonary angiography (CTPA) analysis. During the 26 months of our study, 51 PH patients were diagnosed with COVID-19 infection. The majority, 44 (86.3%) of all COVID-19 infected patients, were treated on an outpatient basis, and 7 (13.7%) required hospitalization. During the follow-up period, 8 (15.7%) patients died: 4 (7.8%) due to complications of COVID-19 infection, and the other 4 (7.8%) died in the later stages of the follow-up period after recovery from acute COVID-19 infection. Therefore, the in-hospital mortality in our study was 43% ( = 3). As mentioned above, the overall mortality was 7.8% ( = 4). Higher BNP levels in the third month after COVID-19 were associated with higher mortality rates ( = 0.028). Lung function, including DLCO, did not significantly worsen with COVID-19. In our study, 24 patients (47.1%) were referred for a follow-up CTPA scan and one of them developed typical fibrotic lung changes after COVID-19. The incidence of COVID-19 infection in patients diagnosed with PH was 34%. In our patients with severe chronic PH, the overall mortality rate due to COVID-19 infection was low. Pulmonary fibrosis was a rare complication in our cohort. COVID-19 infection in severe PH may increase the risk of worsening chronic heart failure.
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http://dx.doi.org/10.3390/medicina60050750 | DOI Listing |
Sci Rep
December 2024
College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian, 116650, Liaoning, China.
The novel coronavirus (COVID-19) has affected more than two million people of the world, and far social distancing and segregated lifestyle have to be adopted as a common solution in recent years. To solve the problem of sanitation control and epidemic prevention in public places, in this paper, an intelligent disinfection control system based on the STM32 single-chip microprocessor was designed to realize intelligent closed-loop disinfection in local public places such as public toilets. The proposed system comprises seven modules: image acquisition, spraying control, disinfectant liquid level control, access control, voice broadcast, system display, and data storage.
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December 2024
Department of Mathematics, GC University, Lahore, Pakistan.
In this article, a nonlinear fractional bi-susceptible [Formula: see text] model is developed to mathematically study the deadly Coronavirus disease (Covid-19), employing the Atangana-Baleanu derivative in Caputo sense (ABC). A more profound comprehension of the system's intricate dynamics using fractional-order derivative is explored as the primary focus of constructing this model. The fundamental properties such as positivity and boundedness, of an epidemic model have been proven, ensuring that the model accurately reflects the realistic behavior of disease spread within a population.
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December 2024
Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Antibody-mediated protection against pathogens is crucial to a healthy life. However, the recent SARS-CoV-2 pandemic has shown that pre-existing comorbid conditions including kidney disease account for compromised humoral immunity to infections. Individuals with kidney disease are not only susceptible to infections but also exhibit poor vaccine-induced antibody response.
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December 2024
State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
Lipid nanoparticles (LNPs) have proven effective in mRNA delivery, as evidenced by COVID-19 vaccines. Its key ingredient, ionizable lipids, is traditionally optimized by inefficient and costly experimental screening. This study leverages artificial intelligence (AI) and virtual screening to facilitate the rational design of ionizable lipids by predicting two key properties of LNPs, apparent pKa and mRNA delivery efficiency.
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December 2024
Laboratory of Aging Research and Cancer Drug Target, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
The immune escape capacities of XBB variants necessitate the authorization of vaccines with these antigens. In this study, we produce three recombinant trimeric proteins from the RBD sequences of Delta, BA.5, and XBB.
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