Arch Med Sci
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Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), declared a global pandemic by the World Health Organization (WHO). The three key principles in management of the COVID-19 pandemic are prevention, early detection and targeted treatment. Vaccine-based prevention together with early detection has already proven its efficacy in controlling the pandemic. ⋯ Nanoparticles hold great promise with respect to these aspects. They may also be the solution to emerging clinical problems such as reinfection, pregnancy-related COVID-19 and coinfection. Here, we aim to discuss the potential applications of nanoparticles to combat the COVID-19 pandemic.
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The risk of unfavourable outcomes after an acute heart failure (AHF) episode remains high. Effective decongestion, reflected by haemoconcentration (HC), may guide therapy. Optimal timing of HC remains unspecified. ⋯ Patients reaching HC earlier seem to present the best prognosis regarding the analysed composite endpoint.
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Although breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is infrequent, with less than 1000 noted cases worldwide, patients consenting for breast implant surgery should be aware of its risk. We describe the first Polish multicenter case-series data on BIA-ALCL patients and present diagnostic and treatment recommendation for breast surgeons. ⋯ BIA-ALCL is scarce in the Polish population. In a short-term follow-up, patients' prognosis remains excellent. Due to the withdrawal of roughly textured implants from the market and the exclusion of likely the most potent etiologic factor, it might be expected that the incidence of BIA-ALCL will become even rarer.
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Colorectal cancer (CRC) is the third most common cancer. Precise prediction of CRC patients' overall survival (OS) probability could offer advice on its treatment. Neural network (NN) is the first-class algorithm, but a consensus on which NN survival models are better has not been established yet. A predictive model on CRC using Asian data is also lacking. ⋯ The deep learning survival model for CRC patients (DeepCRC) could predict CRC's OS accurately.
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This study explored the application of bacterial artificial chromosomes (BACs)-on-Beads (BoBs) technique, especially its ability to detect microdeletion/microduplication regions with a single probe. ⋯ We believe that the microdeletion/microduplication results detected by BoBs technique with a single probe provide comprehensive guidance for prenatal diagnosis.