Most Viewed Articles

The Transcatheter Aortic Valve Implantation (TAVI) had emerged more and more in the last twenty years. According to the scientific literature, this is an approved, suitable and alternative therapeutic choice to conventional surgery for aortic valve disease in high risk patients. The most of patients are octogenarians or nonagenarians, with multiple comorbidities (neurological,vascular,oncologic, haematological, etc). The evolution of TAVI techniques and its devices have improved the quality of results and reduced the peri- and post-procedural complications. Cardiac anaesthesia and analgesia in TAVI patients is very important and fundamental to a quickly and complete clinical restoring after the procedure. An optimal balance of drugs and peri-procedural management could reduce the neurological events (such as delirium), the days of hospitalization and the admission of intensive care unit. According to our experience in transapical approach, the low dose of propofol and desflurane allowed to optimal cardiac anaesthesia and rapid mechanical ventilation weaning in complex patient undergone to transcatheter valve implantation with transapical approach. Moreover, our protocol reduced considerably the incidence of perioperative delirium.

This study aimed to investigate the treatment effects of ZnO NPs plus thiamine on histo-stereological and biochemical parameters in diabetic mouse skin. In total 54 BALB/C mice were used and divided into nine groups. Twenty-four mice were coordinately assigned as control groups (I), thiamine (II), and zinc oxide nanoparticles (III and IV; 1.0 and 5.0 mg/kg). Diabetes was induced in the remaining rats with a dose of 180 mg/kg of alloxan; diabetes group (group V). Other diabetic mice were treated with ZnO NPs (0.1 and 0.5 mg/kg) alone (groups VI and VII, respectively) and along with thiamine (groups VIII and IX, respectively). An increase in weight was observed in the diabetic group compared to the control group. Diabetic skin showed decreasing in volume density of collagen bundles and decreasing in the epidermis and dermis thickness, as well as an increase in the hypodermis's thickness. Administration of ZnO NPs (0.1 and 0.5 mg/kg) alone and along with thiamine in the diabetic animals resulted in anti-hyperglycemic activity, reducing GGT, BUN, Cr, MDA, and NO levels in treated diabetic mice. In conclusion, the concomitant use of ZnO NPs along with thiamine presents the potential as a combination therapy for the treatment of alloxan-induced diabetic mice skin changes.

Determining the extent of immunity induced by booster doses of COVID-19 vaccinations is crucial for informing recommendations for booster dose regimens as well as constant adjustments of immunization strategies amongst different groups of people within the population. The study involved 31 healthy volunteers (majority were healthcare professionals) who completed either vaccination course with Pfizer or Moderna mRNA vaccines and received a third dose of the vaccine. Here we report results on the evaluation of an antibody response to four different SARS-CoV-2 antigens: RBD, S1, S2 and nucleocapsid prior to third dose and two and four weeks after a booster vaccination. We detected a peak of high titers of antibodies after the third dose with a gradual decline after four weeks. No significant differences were seen between the two vaccines in terms of antibody response. There were no gender discrepancies between the two vaccines. Our results suggest that: third doses are necessary due to the emergence of different SARS-CoV-2 variants and postvaccination antibody testing continues be essential in determining possible standardization of SARS-CoV-2 vaccines regimens.

Background: Having claimed lives, HIV/AIDS is still a significant global public health concern. Antiretroviral therapy (ART) is now widely available, and this rapid expansion of access is dramatically improving HIV epidemic survival rates worldwide.Objectives: The aim of this study was to identify the mortality risk factors and survival status of ART patients attending Hawassa Comprehensive Specialized Hospital in 2020.Methods: In a five-year retrospective cohort research, all patients seen between January 2015 and December 2019 were analyzed. The data were analyzed with SPSS 25.0. The Kaplan-Meier Log-rank model was employed to gauge the survival time of ART patients based on explanatory variables. Both bivariate and multivariate Cox proportional hazards regression models were employed to identify the independent causes of mortality.Results: Patients on ART had a 74% overall survival probability. With a median survival of 34 months, there are 0.135 deaths for every 100 person-years. Hemoglobin level (HR = 2.38; 95% CI = 3.3-6.3), WHO clinical stage III and IV (HR = 3; 95% CI = 2.2-9.5, p = 0.04), Age >=60 (HR = 1.6; 95% CI = 1.3-2, p = 0.04) and Functional status bed ridden (HR = 3.1; 95% CI = 1.2-9.4,p = 0.04) were all independent predictors of death among RVI patients.Conclusion: In comparison to trials conducted in wealthy countries, the survival rate of ART patients in this study was low. Patients who are anemic; WHO advanced clinical stage; old age, and functional status bedridden should be closely followed and monitored.

Malignancy of the small bowel is exceedingly rare, accounting for 3% - 5% of all gastrointestinal malignancies [1-3]. However, in recent years because of improved diagnostic accuracy, the incidence of small bowel cancer is rising. It is estimated that 10, 470 new cases of primary SI cancer will be diagnosed in the US with 1450 cancer-related deaths [4]. The most frequent histologic types of small bowel malignant tumors include adenocarcinomas, carcinoids, lymphomas, and sarcomas. Adenocarcinoma of the small intestine is the second most common histologic type of SI cancer. The most frequent location of SI adenocarcinoma is the duodenum (57%), followed by the jejunum (29%) and ileum (13%) [5]. SI cancers are more common in men than women [6]. They occur more commonly in the African-American population and after 60 years of age [7].

Currently brain connectivity modelling, constructed from data acquired by non-invasive technique such as functional magnetic resonance imaging (fMRI), is a well-received approach to illustrate brain function. However, not all connectivity models contains equal amount of information. There are two types of connectivity model that could be constructed from fMRI data, functional and effective connectivity. Effective connectivity includes information about the direction of the connection, while functional connectivity does not. This makes interpretation of effective connectivity more meaningful than functional connectivity. The objective of this study is to show the improvement in interpretability of effective connectivity model in comparison to functional connectivity model. In this study, we show how the difference in the information contained within these two model impacts the interpretation of the resulting connectivity model by analyzing resting-state fMRI data on episodic memory-related cognitive function using CONN Toolbox bivariate correlation measurement for functional connectivity analysis and Tigramite causal discovery framework for effective connectivity analysis on an episodic memory related resting-state fMRI dataset. The comparison between functional and effective connectivity results show that effective connectivity contains more information than the functional connectivity, and the difference in the information contained within these two types of model could significantly impact the intepretation of true brain function. In conclusion, we show that for the connectivity between specific pair of brain regions, effective connectivity analysis reveals more informative characteristic of the connectivity in comparison to functional connectivity where the depicted connectivity lack any additional characteristic information such as the direction of the connection or whether it is a unidirectional or bidirectional. These additional information improve interpretability of brain connectivity study. Thus, we would like to emphasis the important of brain function study using effective connectivity modelling to obtain valid interpretation of true brain function as currently a large body of research in this field focuses only on functional connectivity model.

Edentulism, a condition characterized by the absence of teeth, significantly impacts facial aesthetics, eating efficiency, and speech fluency, thereby diminishing the quality of life. This paper aims to explore the All-On-Four Treatment Concept in Dental Implants, a promising solution to this issue. The All-On-Four approach, though complex, offers a pathway to restore smile and functionality by using four strategically positioned implants to hold a temporary prosthesis. This prosthesis is later replaced by a permanent version after approximately four months. This swift oral restoration technique significantly enhances a patient’s self-confidence and overall life quality. The significance of this treatment lies in its potential to provide a less invasive and more affordable solution for severe jawbone atrophy, where the proximity of critical anatomical structures and compromised bone conditions may hinder other prosthetic solutions. The paper concludes with a discussion on the potential of the All-On-Four treatment to revolutionize dental implant procedures, offering a beacon of hope for individuals suffering from edentulism.

The effect of the novel coronavirus (SARS-CoV-2) pandemic has produced significant health concerns negatively impacting individuals. As the ongoing and constantly changing nature of SARS-CoV-2 continues, the unique characteristics of this pandemic trend toward anxiety and loneliness as significant behavioral health outcomes. Furthermore, the SARS-CoV-2 pandemic has significantly impacted the utilization of social media platforms such as Twitter. Utilizing over 1.6 million tweets from approximately 988,760 Twitter users geolocated in Washington state from the University of Pennsylvania’s publicly available Twitter database (from March 2020 to March 2021), this study evaluated the impact of SARS-CoV-2 by using expressions of loneliness and anxiety to predict mental and physical symptoms. Bivariate correlations revealed expressions of loneliness were correlated to trouble breathing while expressions of anxiety were correlated to skin lesions, body aches, flu-like, seasonal cold, trouble breathing, nausea or diarrhea, fever, chills, and cough. Multiple multivariate linear regressions were completed, and a significant regression equation was found in predicting trouble breathing symptoms on expressions of loneliness and anxiety, however, the proportion of variance was 8% of the observed variation in the model. Further implications revealed the importance of understanding mental and physical well-being during a public health crisis as well as the use of social media platforms as primary and supplementary stimuli.

Noise is widespread in everyday life and can cause both auditory and non-auditory health impacts. Noise-induced hearing loss remains highly prevalent in occupational settings and is now increasingly caused by exposure to social and environmental noise. Incidence of noise-induced hearing loss (NIHL) has been observed to increase substantially in the recent years. Several advances have taken place in past few years for understanding the molecular basis of NIHL. Our understanding of molecular mechanisms implicated in noise-induced hair-cell and nerve damage has significantly increased. Research in the field of genetics is also advancing at a rapid speed, and several genes linked to NIHL have been discovered. This could help in developing preventive and treatment strategies. This review article focuses on the current research and future trends on auditory effects and consequences of noise pollution in humans, stressing the importance of adequate noise prevention and mitigation strategies as a public health measures.

Smart agriculture applications (monitoring, sensing, automation and control) of micro-climate and environmental conditions for different agriculture production sectors and scales, decision-makers and researchers need to take it into consideration to strengthen the efforts of mitigation and adaption of climate change impacts as well as maximize the natural resources use efficiencies and food production. Motivate the farmers to implement smart agriculture applications, especially in developed and poor countries, strong cooperation for technology transfer and build up the technology infrastructure of information and communication (ICT) plus the internet of things (IoT).