Bratisl Med J
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This study aimed to predict individual COVID-19 patient prognosis at hospital admission using artificial intelligence (AI)-based quantification of computed tomography (CT) pulmonary involvement. ⋯ CT quantification of pulmonary involvement using AI-based software helps predict COVID-19 patient outcomes (Tab. 4, Fig. 4, Ref. 38).
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Cisplatin is a widely used anticancer drug for the treatment of many solid cancers. DNA damage is thought to be the key mechanism of cisplatin's anticancer activity. However, cisplatin may also affect cellular metabolism. The aim of this study was to determine the effect of cisplatin on the types of ATP production (OXPHOS versus glycolysis) and their rate in prostate cancer cells and to determine the potentially protective effect of autophagy and amino acids during cisplatin treatment. We also wanted to investigate the potential synergy between the metabolic effects of cisplatin on ATP production and the inhibition of autophagy. ⋯ Persistent defects of autophagy can affect the metabolic sensitivity of cancer cells due to interference with arginine metabolism. Amino acids contained in the culture medium had an impact on the overall effect of cisplatin (Fig. 3, Ref. 38).
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We evaluated the relationship between NLR, PLR, and MPV values and scoring systems frequently used in intensive care units in our study. ⋯ In our study, a significant correlation was found between APACHE, GCS, SOFA, expected death rates and MPV and P/L rates. In conclusion, we suggest that in addition to intensive care scoring systems, the N/L ratio, P/L ratio, MPV, and CRP/albumin ratios can be used in the prognosis of patients (Tab. 5, Fig. 2, Ref. 18).
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The aim of the presented study was to determine the distribution of HBV genotypes and their influence on selected parameters in patients in eastern Slovakia. ⋯ This is the first HBV genotypes study from Slovakia. We suggest that HBV genotypes may play a role in the virus-host relationship Keywords: chronic hepatitis B, genotypes, hepatitis B virus, prognostic factors, distribution.
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Several studies have investigated independently of clinical education, it has been emphasized that students experience fear, anxiety, sadness and uncertainty during the pandemic. ⋯ The level of COVID-19 fear of midwifery students who did clinical internships during the pandemic negatively affected their anxiety and self-confidence levels (Tab. 4, Ref. 34). Text in PDF www.elis.sk Keywords: pandemic, midwifery, fear of COVID-19, anxiety, self-confidence.