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Tobacco smoke is the epidemic of modern times due to its tremendous burden of diseases and deaths, greater than that produced by alcohol, AIDS, drugs, road accidents, murders and suicides combined. In Italy, 26% of the population smokes and the high prevalence of smoking even among young people is crucial for the Tobacco Industry, because young people are the reservoir which replaces smokers who quit or die. The aim of this study is to investigate smoking habits and determinants of smoking among young adults.

This cross-sectional study enrolled young people from three Italian regions Latium (central Italy) Calabria (southern Italy) and Sicily (the largest Italian island). An anonymous, multiple-choice online questionnaire was distributed through social networks. Questions investigated individual habits and lifestyles (smoking, alcohol and coffee consumption, physical activity), the presence of smokers in the family and the use of electronic cigarettes. Descriptive and multivariate analyses were used to deards families, that play an important role in influencing young people.

Preventing young people from smoking is crucial in order to stop the Tobacco Epidemic. The Tobacco Industry is selling new products and is using new marketing tactics (i.e. the "influencers" in social media) which are hooking young people to addictive products and behaviors, thus threatening to wipe out decades of progress in curbing tobacco use. Effective action to drastically reduce new and old types of smoking or to pursue the "Tobacco Endgame" requires an increasing commitment not only towards young people, but also towards families, that play an important role in influencing young people.

Vaccines are one of the most successful and cost-effective public health interventions of modern times. This cross-sectional study investigated the perception of vaccinations and potential risks of adverse events following immunization among nursing students.

An anonymous, self-administered questionnaire was distributed to students undertaking a nursing degree course at the University of Palermo. This questionnaire consisted of three sections the first part focused on socio-demographic information; the second part contained one question regarding the terms associated with vaccination; and the third part posed a question regarding adverse reactions after immunization. A multivariable logistic regression model was used and adjusted Odds Ratios will be presented in this paper.

The sample consisted of 403 students and the mean age was 22.0 years (±3.0). Having considered the dependent variable "Have you ever had adverse reactions after being vaccinated? Moderate-severe", the statistically-significant indepereness of adverse events following immunization among nursing students in this study. The future healthcare workers have been identified as the most important information source regarding potential solutions in a rapidly evolving health scenario in fighting vaccine hesitancy.

Despite the scientific consensus about vaccines safety and effectiveness, there is still a discrepancy between scientific evidence and perception by the general population. The "VaccinarSì" portal was created in 2013 by Italian specialists in Public Health to provide evidence-based information regarding vaccination.

The purpose of this study was to analyse the web traffic on "VaccinarSì" platform during a six-year period (May 8, 2013-May 8, 2019). Moreover, we compared the first six-month with the last six-month period of the website activity, to identify potential areas of improvements.

This is a descriptive study using Google Analytics data. We collected data regarding the following total number of sessions to the portal, total number of pages viewed, total number of users and the number of new visitors, geographical locations and demography of users as well as user access mode (type of device used and way of access). We also collected some data that were informative about the possibility to infer the% of total sessions with a high mean duration spent of 0508 minutes.

During the six years of activity, overall, the level of users' engagement with the portal has dropped with an increased bounce rate and a lower average number of pages visited per session and a lower mean duration of each connection. The lowest engagement involved connections accessed through mobile devices. Results helped "Vaccinarsi" developers to speculate about future strategies to further increase the platform popularity and optimize visitors' engagement.

During the six years of activity, overall, the level of users' engagement with the portal has dropped with an increased bounce rate and a lower average number of pages visited per session and a lower mean duration of each connection. The lowest engagement involved connections accessed through mobile devices. Results helped "Vaccinarsi" developers to speculate about future strategies to further increase the platform popularity and optimize visitors' engagement.

There is little data in the literature on acute kidney injury (AKI) in Covid-19 cases, although relevant in clinical practice in the ICU, especially in Brazil. Our goal was to identify the incidence of AKI, predictive factors and impact on hospital mortality.

Retrospective cohort of patients with Covid-19 admitted to the ICU. AKI was defined according to KDIGO criteria. Data was collected from electronic medical records between March 17 and April 26.

Of the 102 patients, 55.9% progressed with AKI, and the majority (66.7%) was classified as stage 3. Multivariate logistic regression showed age (RC 1.101; 95% CI 1.026 - 1.181; p = 0.0070), estimated glomerular filtration rate - eGFR (RC 1.127; 95% CI 1.022 - 1.243; p = 0.0170) and hypertension (RC 3.212; 95% CI 1.065 - 9.690; p = 0.0380) as independent predictors of AKI. Twenty-three patients died. click here In the group without kidney injury, there were 8.9% deaths, while in the group with AKI, 33.3% of patients died (RR 5.125; 95% CI 1.598 - 16.431; p = 0.0060). The average survival, in days, was higher in the group without AKI. Cox multivariate analysis showed age (RR 1.054; 95% CI 1.014 - 1.095; p = 0.0080) and severe acute respiratory distress syndrome (RR 8.953; 95% CI 1.128 - 71.048; p = 0.0380) as predictors of hospital mortality.

We found a high incidence of AKI; and as predictive factors for its occurrence age, eGFR and hypertension. AKI was associated with higher hospital mortality.

We found a high incidence of AKI; and as predictive factors for its occurrence age, eGFR and hypertension. AKI was associated with higher hospital mortality.