Pathophysiological-Based Nutritional Interventions in Cirrhotic Patients with Sarcopenic Obesity: A State-of-the-Art Narrative Review.

In recent decades, following the spread of obesity, metabolic dysfunction has come to represent the leading cause of liver disease. The classical clinical presentation of the cirrhotic patient has, therefore, greatly changed, with a dramatic increase in subjects who appear overweight or obese. Due to an obesogenic lifestyle (lack of physical activity and overall malnutrition, with an excess of caloric intake together with a deficit of proteins and micronutrients), these patients frequently develop a complex clinical condition defined as sarcopenic obesity (SO). The interplay between cirrhosis and SO lies in the sharing of multiple pathogenetic mechanisms, including malnutrition/malabsorption, chronic inflammation, hyperammonemia and insulin resistance. The presence of SO worsens the outcome of cirrhotic patients, affecting overall morbidity and mortality. International nutrition and liver diseases societies strongly agree on recommending the use of food as an integral part of the healing process in the comprehensive management of these patients, including a reduction in caloric intake, protein and micronutrient supplementation and sodium restriction. Based on the pathophysiological paths shared by cirrhosis and SO, this narrative review aims to highlight the nutritional interventions currently advocated by international guidelines, as well as to provide hints on the possible role of micronutrients and nutraceuticals in the treatment of this multifaceted clinical condition.

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training.

Thyroid nodule classification and segmentation in ultrasound images are crucial for computer-aided diagnosis; however, they face limitations owing to insufficient labeled data. In this study, we proposed a multi-view contrastive self-supervised method to improve thyroid nodule classification and segmentation performance with limited manual labels. Our method aligns the transverse and longitudinal views of the same nodule, thereby enabling the model to focus more on the nodule area. We designed an adaptive loss function that eliminates the limitations of the paired data. Additionally, we adopted a two-stage pre-training to exploit the pre-training on ImageNet and thyroid ultrasound images. Extensive experiments were conducted on a large-scale dataset collected from multiple centers. The results showed that the proposed method significantly improves nodule classification and segmentation performance with limited manual labels and outperforms state-of-the-art self-supervised methods. The two-stage pre-training also significantly exceeded ImageNet pre-training.

Segment anything model for medical images?

The Segment Anything Model (SAM) is the first foundation model for general image segmentation. It has achieved impressive results on various natural image segmentation tasks. However, medical image segmentation (MIS) is more challenging because of the complex modalities, fine anatomical structures, uncertain and complex object boundaries, and wide-range object scales. To fully validate SAM's performance on medical data, we collected and sorted 53 open-source datasets and built a large medical segmentation dataset with 18 modalities, 84 objects, 125 object-modality paired targets, 1050K 2D images, and 6033K masks. We comprehensively analyzed different models and strategies on the so-called COSMOS 1050K dataset. Our findings mainly include the following: (1) SAM showed remarkable performance in some specific objects but was unstable, imperfect, or even totally failed in other situations. (2) SAM with the large ViT-H showed better overall performance than that with the small ViT-B. (3) SAM performed better with manual hints, especially box, than the Everything mode. (4) SAM could help human annotation with high labeling quality and less time. (5) SAM was sensitive to the randomness in the center point and tight box prompts, and may suffer from a serious performance drop. (6) SAM performed better than interactive methods with one or a few points, but will be outpaced as the number of points increases. (7) SAM's performance correlated to different factors, including boundary complexity, intensity differences, etc. (8) Finetuning the SAM on specific medical tasks could improve its average DICE performance by 4.39% and 6.68% for ViT-B and ViT-H, respectively. Codes and models are available at: https://github.com/yuhoo0302/Segment-Anything-Model-for-Medical-Images. We hope that this comprehensive report can help researchers explore the potential of SAM applications in MIS, and guide how to appropriately use and develop SAM.

Prediction of cardiovascular risk in patients with hepatocellular carcinoma receiving anti-angiogenic drugs: lessons from sorafenib.

Antiangiogenics are associated with an increased risk of major adverse cardiac and cerebrovascular events (MACE). The identification of at-risk subjects is relevant in the case of hepatocellular carcinoma (HCC), for which anti-angiogenic TKIs and bevacizumab are used in first and subsequent lines of therapy, to select alternative drugs for patients with excessive risk. We verified the ability to predict MACE in sorafenib-treated patients of the 2022 European Society of Cardiology (ESC-2022) score for anti-angiogenics and the recently proposed CARDIOSOR score. A retrospective analysis was conducted of prospectively collected data of the ARPES and ITA.LI.CA databases. All patients received sorafenib for unresectable HCC from 2008 to 2018. Baseline information to calculate the ESC-2022 and CARDIOSOR scores and registration of evolutive events (including MACE) were available for all patients. The predictive ability of both scores was verified using competing risk regressions and tests for goodness of fit. This study included 843 patients (median follow-up 11.3 months). Thirty-four (4.0%) patients presented a MACE. The four-tier ESC-2022 classification showed a progressive risk increase for every class (cumulative risk 1.7%, 2.7%, 4.3%, and 15.0% in the low, medium, high, and high-risk tiers, respectively). The dichotomous CARDIOSOR scale identified a high-risk group with a fourfold increased risk of MACE (sHR 4.66, p = 0.010; cumulative risk 3.8% and 16.4%). ESC-2022 showed a better goodness of fit compared to the CARDIOSOR score [C-index 0.671 (0.583-0.758) vs 0.562 (0.501-0.634), p = 0.021], but this gap was eliminated using the linear version of CARDIOSOR. Both the ESC-2022 and CARDIOSOR scores discriminated patients at increased risk for MACE. The use of these scores in clinical practice should be encouraged, since therapeutic measures can mitigate the cardiovascular risk.

Donafenib in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a global healthcare problem, with a high prevalence in nonindustrialized countries and a rising incidence in industrialized countries. Sorafenib demonstrated its efficacy as the first therapeutic agent for unresectable HCC in 2007. Since then, other multitarget tyrosine kinase inhibitors have demonstrated efficacy in HCC patients. Still, the tolerability of these drugs remains an unsolved problem, with 5-20% of patients permanently discontinuing their therapies due to adverse events. Donafenib is a deuterated form of sorafenib exploiting the increased bioavailability derived from the deuterium-for-hydrogen replacement. In the multicenter, randomized, controlled phase II-III trial ZGDH3, donafenib outperformed sorafenib in terms of overall survival, with favorable safety and tolerability. As a result, donafenib was approved as a possible first-line treatment of unresectable HCC by the National Medical Products Administration (NMPA) of China in 2021. In this monograph, we review the main preclinical and clinical evidence that emerged in the trials of donafenib.

TKIs in combination with immunotherapy for hepatocellular carcinoma.

INTRODUCTION: The treatment landscape of hepatocellular carcinoma (HCC) has significantly changed over the last 5 years with multiple options in the frontline, second line, and beyond. Tyrosine kinase inhibitors (TKIs) were the first approved systemic treatments for the advanced stage of HCC; however, thanks to the increasing knowledge and characterization of the immunological features of the tumor microenvironment, the systemic treatment of HCC has been further expanded with the immune checkpoint inhibitor (ICI) approach and the following evidence of the higher efficacy obtained with combined treatment with atezolizumab plus bevacizumab over sorafenib. AREAS COVERED: In this review, we look at rationale, efficacy, and safety profiles of current and emerging ICI/TKI combination treatments and discuss the available results from other clinical trials using similar combinatorial therapeutic approaches. EXPERT OPINION: Angiogenesis and immune evasion are the two key pathogenic hallmarks of HCC. While the pioneering regimen of atezolizumab/bevacizumab is consolidating as the first-line treatment of advanced HCC, it will be essential, in the near future, to determine the best second-line treatment options and how to optimize the selection of the most effective therapies. These points still need to be addressed by future studies that are largely warranted to enhance the treatment's effectiveness and ultimately to tackle down HCC lethality.

Effects of COVID-19 Pandemic on Metabolic Status and Psychological Correlates of a Cohort of Italian NAFLD Outpatients.

Non-alcoholic fatty liver disease (NAFLD) is a potentially progressive condition characterized by the presence of fat in more than 5% of hepatocytes, representing the hepatic expression of metabolic syndrome (MetS). A reduction of at least 5-7% in initial body weight improves the metabolic profile underlying NAFLD. The aim of our study was to evaluate the effects of the COVID-19 lockdown on a cohort of non-advanced NAFLD Italian outpatients. We identified 43 patients with 3 available time point visits in our center: first visit (T0) when behavioral indications aimed at controlling MetS were provided, a pre-COVID visit (T1) and a post-COVID visit (T2). During the lockdown, an online compilation of validated psychological tests (SRQ-20, EQ5D, SF-12 and STAI) and a specifically formulated questionnaire for NAFLD was presented to our cohort and completed by 14 consenting patients. Patients who had lost more than 5% of the initial weight at T1 (9 subjects, 21%) maintained the results even at T2, with an overall reduction in BMI and liver stiffness; patients who had not lost the desired weight at T1 (34 subjects, 79%) displayed a further increase in BMI and visceral adiposity at T2. Of interest is that patients in the latter group reported signs of psychological suffering. Our data demonstrated that the setting of good counseling was effective in controlling the metabolic disorder underlying NAFLD in our cohort of outpatients. Given the need for patients to play an active role in the behavioral therapy for NAFLD, we advocate that a multidisciplinary approach be adopted, including a psychological support to obtain the best results over time.

Clinical Score and Machine Learning-Based Model to Predict Diagnosis of Primary Aldosteronism in Arterial Hypertension.

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Online Learning Communities and Mental Health Literacy for Preschool Teachers: The Moderating Role of Enthusiasm for Engagement.

Background: Most of the existing literature analyzes preschool teachers' perceptions of information seeking and measures their satisfaction with online support for mental health issues. Seldom has this literature considered the influence of enthusiasm for or preference towards online engagement and social media in the development of preschool teachers' mental health literacy. Methods: This study focused on preschool teachers' attitudes towards the impact of an online learning community on mental health literacy and explored the moderation of enthusiasm for engagement on this relationship. A survey was conducted in Taiwan, and the researchers employed partial least squares to test the moderating effect. Results: The results indicate that enthusiasm for engagement has a negative moderating effect on the relationship between an online learning community and mental health literacy for preschool teachers. Conclusions: The moderating effect of enthusiasm for engagement in this relationship reminds us to consider the advantages and disadvantages of the employment of online learning communities for the improvement of mental health literacy and well-being. This study recommends cautiously integrating online learning communities and real-world communication into an appropriate and user-friendly interactive model to help preschool teachers promote their mental health literacy and well-being.

Gender differences in Taiwan university students' attitudes toward Web-based learning.

This study explored gender differences on university students' attitudes toward Web-based learning in Taiwan. A Web-based Learning Attitude Survey (WLAS) was developed. The WLAS consisted of five scales, including access, social structure, content, pedagogy, and community relationship toward Web-based learning. By using an online survey, this study gathered the responses of 1,866 Taiwanese university students (940 males and 926 females) whose ages ranged from 18 to 23. The results showed significant gender differences in the aspects of social structure, content, and community relationship involved in Web-based learning. Interestingly, although females might consider the Internet a masculine-dominated technology, they displayed more favorable attitudes than males did regarding the impacts of socioeconomic status (the social structure scale) on students' performance of Web-based learning. Moreover, females possessed more positive attitudes than males toward the helpfulness and variety of the content for Web learning. However, they did not think the virtual interaction on the Internet could develop adequate teacher-student and peer relationships (the community relationship scale). Some follow-up interviews were also conducted with selected students, and the implications derived from this study were discussed.