Background: Patients with cancer are at increased risk of complicated severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection, but it is still unclear if the risk of mortality is influenced by cancer type or ongoing anti-cancer treatments. An interesting debate concerning the potential relationship between androgen deprivation therapy (ADT) and SARS-CoV-2 infection has recently been opened in the case of prostate cancer (PC), and the aim of this multi-centre cohort study was to investigate the incidence and outcomes of SARS-CoV-2 infection in patients with metastatic castration-resistant prostrate cancer (mCRPC).
Patients And Methods: We retrospectively reviewed the clinical records of patients with mCRPC who developed SARS-CoV-2 infection, and recorded their baseline clinical characteristics, their history of PC and SARS-CoV-2 infection, and their oncological status and treatment at the time of infection. The primary study end point was the death rate and the possible impact of the patients' PC-related history and treatments on mortality.
Results: Thirty-four of the 1433 patients with mCRPC attending the participating centres (2.3%) developed SARS-CoV-2 infection, 22 (64.7%) of whom were hospitalised. Most of the patients were symptomatic, the most frequent symptoms being fever (70.6%), dyspnoea (61.8%), cough (52.9%) and fatigue (38.2%). After a median follow-up of 21 days (interquartile range: 13-41), 13 patients had died (38.2%), 17 recovered (50.0%) and four (11.7%) were still infected. The number of treatments previously administered for mCRPC had a significant impact on mortality (p = 0.004).
Conclusions: Our findings contribute additional data to the current debate concerning the postulated protective role of ADT, which seems to be less in patients with metastatic PC.
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http://dx.doi.org/10.1016/j.ejca.2020.09.018 | 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.
View Article and Find Full Text PDFNat Commun
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.
View Article and Find Full Text PDFNat Commun
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.
View Article and Find Full Text PDFNat Commun
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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