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Introduction: E-smoking has become a public health problem. The objectives of this study were to assess the prevalence of e-cigarette and tobacco cigarette use; to compare the patterns of smoking; to assess the attitudes and motivations for e-cigarette use. Material and methods: All 1,700 students from Faculty of Medicine (Medical University of Silesia) were invited to questionnaire based cross-sectional study about the frequency and attitudes towards the use of traditional and electronic cigarettes. Results: The data were obtained from 1,318 medical students (response 77.5%) aged 22.1 ± 2.2 years. Traditional tobacco smoked 18.1%, e-cigarettes 1.3% and 2.2% were dual smokers. The overall frequency of e-smokers was 4.9% among men and 2.8% among women (p = 0.05). Compared to tobacco users in e-smokers duration of smoking was shorter (p < 0.001), the intensity of smoking was larger (p = 0.01), the number of e-cigarettes smoked daily was higher (p < 0.001). Dual smokers more frequently used tobacco cigarettes than e-cigarettes (p = 0.01) but smoked more e-cigarettes daily (p = 0.003). The choice of e-liquid depended on the flavour (50.0%), nicotine concentration (21.7%) and price (7.6%). No-nicotine e-cigarettes were used by 6.5% smokers. Dual smokers more frequently chose e-liquids with high nicotine concentration (p = 0.01). Motivations leading to e-smoking were: quitting tobacco (58.7%), less harmful impact on health (43.5%) and the price (34.8%). E-smoking as safe for health was perceived by 6.0% of respondents (35.5% in e-smokers vs. 4.9% in non e-smokers; p < 0.001). Conclusion: Among students of medicine, e-smoking is apparently less popular than smoking tobacco cigarettes. Respondents considered e-cigarettes to be harmful and addictive.

In this study, we assessed the proliferative response of peripheral blood mononuclear leukocytes (PBML) from 33 children/young adolescents with chronic dyspepsia, to H. pylori LPS in the presence and absence of IL-2 as a T cell growth factor. A rapid urease test (RUT) and a presence of Helicobacter-like organisms (HLO) in the biopsy specimens allowed us to distinguish RUT/HLO-positive (17/33) and -negative (16/33) patients. H. pylori LPS alone induced a proliferation of PBML from 4 out of 33 dyspeptic patients. IL-2 increased the prevalence of the response to LPS to 59% and 74% of RUT/HLO-positive and -negative patients, respectively. PBML from RUT/HLO-positive patients responded significantly less intensively to H. pylori LPS in the presence of IL-2, to IL-2 alone and to H. pylori LPS+IL-2. However, there was no difference in PHA-driven proliferation of PBML from the patients of those two groups. A negative correlation between the responsiveness to H. pylori LPS of PBML and occurrence of type B inflammation in gastric mucosa was demonstrated. The results suggest a contribution of H. pylori LPS to an outcome of H. pylori infection. It is speculated that H. pylori LPS by an activation of immunocompetent cells may reduce gastric inflammation, decrease bacterial load and prolong H. pylori infection.

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Sleep disruption is common in patients in the intensive care unit (ICU). The aim of the study was to measure sound levels during sleep-protected time in the ICU, determine sources of sound, assess the impact of sound levels and patient-related factors on duration and quality of patients' sleep. The study was performed between 2018 and 2019. A commercially available smartphone application was used to measure ambient sound levels. Sleep duration was measured using the Patient's Sleep Behaviour Observational Tool. Sleep quality was assessed using the Richards-Campbell Sleep Questionnaire (RCSQ). The study population comprised 18 (58%) men and 13 (42%) women. There were numerous sources of sound. The median duration of sleep was 5 (IQR 3.5–5.7) hours. The median score on the RCSQ was 49 (IQR 28–71) out of 100 points. Sound levels were negatively correlated with sleep duration. The cut-off peak sound level, above which sleep duration was shorter than mean sleep duration in the cohort, was 57.9 dB. Simple smartphone applications can be useful to estimate sound levels in the ICU. There are numerous sources of sound in the ICU. Individual units should identify and eliminate their own sources of sound. Sources of sound producing peak sound levels above 57.9 dB may lead to shorter sleep and should be eliminated from the ICU environment. The sound levels had no effect on sleep quality.