Large retroperitoneal sarcoma invading the inferior vena cava successfully resected. Technical notes of two cases.

Retroperitoneal sarcomas are rare neoplasms . They frequently reach a very large size and invade adjacent organs before they are detected. Involvent of the inferior vena cava is uncommon. Distant metastases are a late feature. The mainstay of treatment is compartmental resection and contiguous organ resection. We report two cases of right-sided massive primary retroperitoneal leiomyosarcoma in pauci symptomatic women. In both cases treatment consisted of radical surgery. En bloc resection of the tumor and surrounding tissues and organs as well as part of the right wall of the subrenal IVC. To close the wall defect direct suture repair was used resulting in a reduced caliber but no hemodynamic sequelae or endoluminal thrombi. All the resection margins, including the inferior vena cava wall, were negative. The postoperative course was unremarkable and caval blood flow was optimal. The current gold standard treatment for retroperitoneal sarcoma is en bloc multivisceral resectionresection. KEY WORDS: Peritoneal sarcoma, Surgery, Vena cava.

Should I give kids money? The role of pocket money on at-risk behaviors in Italian adolescents.

BACKGROUND: Discussion on the impact of pocket money on positive behaviors is still debated. OBJECTIVE: To investigate the effect of diverse money allowance schemes on risky behaviors (smoking, alcohol, binge drinking, drug use, gambling) during adolescence. METHOD: 989 students aged 15 from Lombardy (Italy) reported information on money availability in the 2018 wave of the Health Behaviour in School-aged Children study. To analyze the relationship between money availability and risky behaviors we computed odds ratios and 95% confidence intervals through unconditional multiple logistic regression models. RESULTS: Spending more than 10€ weekly was associated with higher likelihood to smoke, binge drink or gamble. Receiving pocket money (rather than receiving money upon request) was related to higher likelihood to engage in risky behaviors. CONCLUSIONS: Pocket money may have a negative impact on adolescents, particularly with a substantial amount of money. More research is needed to understand why providing money only if needed may serve as a protective factor against risky behaviors.

Psychosocial determinants of sleep difficulties in adolescence: the role of perceived support from family, peers, and school in an Italian HBSC sample.

The present study explores the concurrent contribution to sleep problems of individual-related, family-related, and school-related factors in adolescence. Gathering from the Italian 2018 Health Behavior in School-Aged Children (HBSC) data collection, we used hierarchical logistic regression on a sample of 3397 adolescents (51% females, Mage = 13.99, SD = 1.62) to explore the contribution to sleep problems of the individual (Model 1: alcohol use, smoking, screen time, physical activity), familial (Model 2: parental communication, parental support), and school-related (Model 3: peer support, schoolmates/students support, teacher support and school pressure) variables. 28.3 percent of adolescents reported having sleep difficulties. Overall, Model 3 significantly improved over Model 2 and Model 1. Data showed that increasing smoking (OR = 1.11; 95% CI: 1.03-1.20) and screen time (OR = 1.05; 95% CI: 1.02-1.08) were associated with sleep difficulties but not alcohol use and physical activity. Also, impaired communication with both parents and increasing parental support (OR = 0.84; 95% CI: 0.78-0.90) were associated with decreased odds of sleep problems. Finally, both increases in school pressure (OR = 1.40; 95% CI: 1.26-1.56) and lack of student support (OR = 1.25; 95% CI: 1.10-1.42) were associated with a higher likelihood of sleep problems, while peer support and teacher support were not.   Conclusion: Our findings highlight the importance of an integrated approach to the study of sleep difficulties in adolescence that includes specific psychosocial contributors such as the quality of parental communication and perceived parental support and considers the quality of the day-to-day relationship with schoolmates and the school level of demands. What is Known: • Adolescents' are at-risk of more significant sleep difficulties, and recent literature highlights the importance of an integrated approach to understanding this phenomenon, including biological, psychosocial, and contextual factors. • The literature lacks findings that consider the concurrent contribution of individual and psychosocial factors to sleep difficulties in adolescence. What is New: • The quality of parental communication and perceived parental support, as expressions of adult figures' emotional and behavioural availability in the adolescent's life, are significant determinants of sleep difficulties. • The quality of day-to-day relationships with schoolmates and the school level of demands contribute to adolescent sleep problems.

[Artificial intelligence in medicine: are we ready?] / Intelligenza artificiale in medicina: siamo pronti?

Artificial intelligence (Ai) tools, in particular those based on machine learning (Ml) and deep learning techniques, have found application in numerous fields of medicine. They are used to create chatbots to provide health information to citizens and patients, to make medical diagnoses, to identify the best treatment to use for a specific patient, to predict a patient's risk of experiencing a specific event, to identify the most promising drug candidate in which to invest in clinical research, and to identify possible cause-effect relationships between pathologies and data collected through the various available sources. The results of published clinical trials measuring the reliability, safety, and efficacy of these tools are often encouraging. However, there are systematic reviews and meta-analyses highlighting the methodological limitations of these studies. Many of these are retrospective and based on previously assembled datasets, while few are prospective ones conducted in real clinical settings and very few are those based on randomized controlled clinical trials. Furthermore, many of these adopt an internal validation of the Ai system to the detriment of an external validation, while the comparison between the performance of the Ml models and that of the experts is only in a few cases conducted using the same dataset. Before being used in the healthcare field, Ai and Ml systems should pass through the scrutiny of rigorous scientific validation, based on methodologically solid studies (prospective, possibly randomized and conducted in real clinical environments) which demonstrate non-inferiority, or superiority, as well as cost-effectiveness, compared to the conventional diagnostic and decision-making pathway. Furthermore, it is necessary to demonstrate the safety and reproducibility in the use of the software and to consider the emerging ethical and legal issues inherent in the professional liability of the doctor in the interaction with the algorithms.

Chronic pancreatitis and pancreatic lithiasis. State of the art.

Chronic pancreatitis and pancreatic lithiasis, isolated or associated, are infrequent diseases in western countries. They are linked to alcohol abuse, cigarette smoking, repeated episodes of acute pancreatitis and hereditary genetic factors. They are characterised by persistent or recurrent epigastric pain, digestive insufficiency, steatorrhoea, weight loss and secondary diabetes. They are easily diagnosed with CT and MRI ultrasound, but are difficult to treat. Medical therapy is symptomatic for diabetes and digestive failure. Invasive treatment is indicated only for pain that cannot be treated otherwise. For lithiasic forms, the therapeutic goal of removing stones can be achieved with shockwave and endoscopy, obtaining fragmentation and extraction of the stones. When this does not happen and these aids have proved ineffective, surgery must be used either as a partial or total resection of the afflicted pancreas, or as a derivation in the intestine of the pancreatic duct dilated and obstructed by Wirsung-jejunal anastomosis. These invasive treatments are effective in 80% of cases, but burdened with complications in 10% and relapses in 5%. KEY WORDS: Chronic Pancreatitis, Chronic Pain, Pancreatic Lithiasis.

Prevalence and Correlates of Overweight, Obesity and Physical Activity in Italian Children and Adolescents from Lombardy, Italy.

Investigating pediatric overweight and physical activity correlates is essential to design effective preventive programs. We used regional data (Lombardy, northern Italy) from the 2019 survey "OKKio alla Salute" (3093 children aged 8-9 years with measured anthropometric data), and from the 2018 wave of the "Health Behaviour in School-aged Children" survey (2916 adolescents aged 11-15 years with self-reported anthropometric data). In both the surveys, a cluster sampling methodology was used. Unconditional multiple logistic regression models were applied to estimate the odds ratios (OR) and corresponding 95% confidence intervals (CI) of overweight, obesity and poor physical activity. The prevalence of overweight (including obesity) was 22.4% for children aged 8-9 years and 14.4% for adolescents aged 11-15 years. A higher prevalence of overweight was observed among males, children with greater birth weight and those with obese parents. Scant physical activity was higher among females and older adolescents. There was a direct relationship between obesity and increased psychological distress (OR = 2.44; 95% CI: 1.12-5.27) or being victims of bullying (OR = 2.25; 95% CI: 1.17-4.34). Increasing physical activity significantly decreased the frequency of mental health outcomes. Prevention campaigns should be promoted to safeguard childhood physical and psychological wellbeing.

[Psychological interventions on the Internet and digital therapeutics in the field of mental health: are we ready?] / Interventi psicologici su Internet e terapie digitali nell'ambito della salute mentale: siamo pronti?

In the last years, Information and Communication Technology has increasingly offered solutions in the field of psychology and mental health. Internet-based psychological interventions, apps, solutions based on social media have been suggested as tools to be used with the usual psychotherapy interventions, or in some cases, in substitution to them. Many of these are based on cognitive behavioral therapy (which by its nature is easily transferable into digital format) and fall into the category of digital therapeutics. On the other hand, tele-psychiatry, an area in strong expansion (also justified by the need to continue providing care to patients in this period of covid-19 which has prevented, or severely limited, face-to-face meetings), seems to improve the access to specialized mental health care, reduce delays in care, reduce stigma and promote greater patient attention. There is evidence that comes from randomized clinical trials, systematic reviews and meta-analysis and that demonstrates the efficacy of these tools in managing and preventing episodes of depression, anxiety and addictions. For other mental health disorders further confirmation is needed. In this context, it is therefore necessary to make greater use of randomized clinical trials with an adequate number of patients recruited, with a sufficient observation period and with easily measurable endpoints.

[Social media and health: it's time to refine the methodology for interpreting studies and evaluating information.] / Social media e salute: affinare la metodologia per interpretare e valutare le informazioni.

The pandemic we are experiencing has accelerated the availability of health content on the Internet, multiplying the points at which such content is generated and shared. As a result, we have witnessed the growing of the "infodemic" phenomenon. To combat it, over the years a series of documents and guides have been produced to provide tools allowing users to evaluate health-related content on the Net. With the advent of social media platforms, these tools have been adapted to posts and videos, focusing on reliability and completeness of the contents, conflicts of interest, accessibility, and usability of social media platforms. Access to studies using data from social media platforms can also lend themselves to misinterpretation. A methodology similar to that used to evaluate systematic reviews to be applied to studies of social media platforms could help citizens, patients and doctors to understand if researchers have focused on the right questions, have provided the right answers, have used the most appropriate social media platforms and analytics tools. Taking a cue from the methodology today used to generate reliable content and to interpret the results of systematic reviews could be the right way to address these new research areas with greater scientific rigor.

[Applications of digital medicine to care pathways: taxonomy, methods, impact on patients, barriers to overcome.] / Applicazioni della digital medicine ai PDTA: tassonomia, metodologia, impatto sul paziente e barriere da superare.

Digital health represents an important step in the management of chronic diseases also in light of the reform of proximity care that is intended to be implemented as part of the Recovery Plan (PNRR). For this purpose, the inclusion of digital health tools in the care pathways is strategic. A specific Working Group of the MaCroScopio Project defined a taxonomic, methodological and cultural framework within which the development of digital health can be promoted. This would ensure that the introduction of this type of technological innovation addresses not only the need for a more efficient health system but also the real patients' healthcare requirements. At the same time it fosters the reduction of healthcare access inequalities, instead of their exacerbation.

[Social media for continuing education in nephrology. Myth or reality?]

About 60% of the world population has access to the Internet in 2021, making it the main tool in fostering communication between people. Lately, digital information and communication have especially taken place on platforms known as Social Media (SoMe) or Social Networks. In the last decade the usefulness of these tools in carrying information aimed at updating professionals in Medicine and Nephrology has become evident. There are several examples of SoMe utilization in Nephrology, as demonstrated by the existing accounts or Pages operated by the main international nephrological Scientific Societies, or the most renowned specialized medical journals. Twitter, Facebook and YouTube are the most versatile SoMe for these objectives; however, other platforms such as Tik Tok, Linkedin, Instagram, and WhatsApp may serve the same purpose. This digital revolution in disseminating information has proved very useful during the recent COVID-19 pandemic, even though some inappropriate uses have emerged, such as the diffusion of fake news, which has favored the emergence of "adverse effects" or a surge of antiscientific positions. In this review, we examine how physicians and nephrologists can take advantage of digital information for their continuing education. We quote the main resources in the international scenario and illustrate some specific national examples, such as the Journal Club of the Nephrology post-graduate program of the University of Milan and the Facebook group "Medical and Nephrology Community".

[The concrete contribution of digital health to improving individual and population adherence.] / Il contributo della digital health al miglioramento dell'aderenza individuale e di popolazione.

From traditional alert systems based on applications or text messages to MEMS (Medication Event Monitoring System), up to technologically advanced systems such as the so-called "smart pills", and those printed with 3D technology containing sensors capable of regulating the gradual release of the active substance based on the patient's health, the article offers a brief review of the experiences of applying digital health to improve adherence to drug treatment.

A Proposal For COVID-19 Applications Enabling Extensive Epidemiological Studies.

During the next phase of COVID-19 outbreak, mobile applications could be the most used and proposed technical solution for monitoring and tracking, by acquiring data from subgroups of the population. A possible problem could be data fragmentation, which could lead to three harmful effects: i) data could not cover the minimum percentage of the people for monitoring efficacy, ii) it could be heavily biased due to different data collection policies, and iii) the app could not monitor subjects moving across different zones or countries. A common approach could solve these problems, defining requirements for the selection of observed data and technical specifications for the complete interoperability between different solutions. This work aims to integrate the international framework of requirements in order to mitigate the known issues and to suggest a method for clinical data collection that ensures to researchers and public health institution significant and reliable data. First, we propose to identify which data is relevant for COVID-19 monitoring through literature and guidelines review. Then we analysed how the currently available guidelines for COVID-19 monitoring applications drafted by European Union and World Health Organization face the issues listed before. Eventually we proposed the first draft of integration of current guidelines.

The Role of Technology and Social Media Use in Sleep-Onset Difficulties Among Italian Adolescents: Cross-sectional Study.

BACKGROUND: The use of technology and social media among adolescents is an increasingly prevalent phenomenon. However, there is a paucity of evidence on the relationship between frequency of use of electronic devices and social media and sleep-onset difficulties among the Italian population. OBJECTIVE: The aim of this study is to investigate the association between the use of technology and social media, including Facebook and YouTube, and sleep-onset difficulties among adolescents from Lombardy, the most populous region in Italy. METHODS: The relationship between use of technology and social media and sleep-onset difficulties was investigated. Data came from the 2013-2014 wave of the Health Behavior in School-aged Children survey, a school-based cross-sectional study conducted on 3172 adolescents aged 11 to 15 years in Northern Italy. Information was collected on difficulties in falling asleep over the last 6 months. We estimated the odds ratios (ORs) for sleep-onset difficulties and corresponding 95% CIs using logistic regression models after adjustment for major potential confounders. RESULTS: The percentage of adolescents with sleep-onset difficulties was 34.3% (1081/3151) overall, 29.7% (483/1625) in boys and 39.2% (598/1526) in girls. It was 30.3% (356/1176) in 11-year-olds, 36.2% (389/1074) in 13-year-olds, and 37.3% (336/901) in 15-year-olds. Sleep-onset difficulties were more frequent among adolescents with higher use of electronic devices, for general use (OR 1.50 for highest vs lowest tertile of use; 95% CI 1.21-1.85), use for playing games (OR 1.35; 95% CI 1.11-1.64), use of online social networks (OR 1.40 for always vs never or rarely; 95% CI 1.09-1.81), and YouTube (OR 2.00; 95% CI 1.50-2.66). CONCLUSIONS: This study adds novel information about the relationship between sleep-onset difficulties and technology and social media in a representative sample of school-aged children from a geographical location that has not been included in studies of this type previously. Exposure to screen-based devices and online social media is significantly associated with adolescent sleep-onset difficulties. Interventions to create a well-coordinated parent- and school-centered strategy, thereby increasing awareness on the unfavorable effect of evolving technologies on sleep among adolescents, are needed.

[Information technology and digital health to support health in the time of CoViD-19.] / Information technology e digital health a supporto della salute ai tempi della CoViD-19.

The CoViD-19 pandemic has provided the opportunity for the health care's digital revolution with the unprecedented accelerated expansion of telehealth, telemedicine and other digital health tools. Several tools have been developed and launched at national and international level to face the emergency, including tools to perform online triage, symptoms checking, video visits and remote monitoring, and to conduct local and national epidemiological surveillance studies. Artificial intelligence-based tools have also been developed to diagnose cases of CoViD-19 or to identify patients at risk. Most of these technologies have been endorsed by medical societies such as the American Medical Association and the American Academy of Family Physicians which launched specific guidelines about their use. The growth in telemedicine services and in digital health technologies could not have occurred without important telehealth regulatory changes that have occurred in some countries aimed at promoting their use to face the CoViD-19 emergency, such as the deregulation of the use of video conferencing and video chat systems to carry out video visits, and the payment parity between telehealth and in clinic care. In order to decide whether to continue using these tools even after the pandemic is over, it could be useful to perform validation and efficacy studies of these tools to study their implications on the doctor-patient relationship, to understand if the new features can be integrated with the other technological tools already in use, and if they can improve clinical practice and quality of care.

Use of Health Apps and Wearable Devices: Survey Among Italian Associations for Patient Advocacy.

BACKGROUND: Technological tools such as Web-based social networks, telemedicine, apps, or wearable devices are becoming more widespread in health care like elsewhere. Although patients are the main users, for example, to monitor symptoms and clinical parameters or to communicate with the doctor, their perspective is seldom analyzed, and to the best of our knowledge, no one has focused on the patients' health care advocacy associations' point of view. OBJECTIVE: The objective of this study was to assess patients' health care advocacy associations' opinions about the use, usefulness, obstacles, negative aspects, and impact of health apps and wearable devices through a Web-based survey. METHODS: We conducted a Web-based survey through SurveyMonkey over nearly 3 months. Participants were contacted via an email explaining the aims of the survey and providing a link to complete the Web-based questionnaire. All the 20 items were mandatory, and the anonymized data were collected automatically into a database. Only fully completed questionnaires were considered for analysis. RESULTS: We contacted 1998 patients' health care advocacy associations; a total of 258 questionnaires were received back (response rate 12.91%), and 227 of the received questionnaires were fully completed (completion rate 88.0%). Informative apps, hospital apps for viewing medical reports or booking visits, and those for monitoring physical activity are the most used. They are considered especially useful to improve patients' engagement and compliance with treatment. Wearable devices to check physical activity and glycemia are the most widespread considering, again, their benefits in increasing patients' involvement and treatment compliance. For health apps and wearable devices, the main obstacles to their use are personal and technical reasons; the risk of overmedicalization is considered the most negative aspect of their constant use, while privacy and confidentiality of data are not rated a limitation. No statistical difference was found on stratifying the answers by responders' technological level (P=.30), age (P=.10), and the composition of the association's advisory board (P=.15). CONCLUSIONS: According to responders, health apps and wearable devices are sufficiently known and used and are considered potential supports for greater involvement in health management. However, there are still obstacles to their adoption, and the developers need to work to make them more accessible and more useful. The involvement of patients and their associations in planning services and products based on these technologies (as well as others) would be desirable to overcome these barriers and boost awareness about privacy and the confidentiality of data.

An overview on the emerging area of identification, characterization, and assessment of health apps.

The need to characterize and assess health apps has inspired a significant amount of research in the past years, in search for methods able to provide potential app users with relevant, meaningful knowledge. This article presents an overview of the recent literature in this field and categorizes - by discussing some specific examples - the various methodologies introduced so far for the identification, characterization, and assessment of health apps. Specifically, this article outlines the most significant web-based resources for app identification, relevant frameworks for descriptive characterization of apps' features, and a number of methods for the assessment of quality along its various components (e.g., evidence base, trustworthiness, privacy, or user engagement). The development of methods to characterize the apps' features and to assess their quality is important to define benchmarks and minimum requirements. Similarly, such methods are important to categorize potential risks and challenges in the field so that risks can be minimized, whenever possible, by design. Understanding methods to assess apps is key to raise the standards of quality of health apps on the market, towards the final goal of delivering apps that are built on the pillars of evidence-base, reliability, long-term effectiveness, and user-oriented quality.

Lessons learned from 300 consecutive pancreaticoduodenectomies over a 25-year experience: the "safety net" improves the outcomes beyond surgeon skills.

Pancreaticoduodenectomy (PD) is associated with high postoperative morbidity. The management of postoperative complications is paramount for reducing the mortality rate. The aim of this study was to evaluate the importance of surgical and hospital experience on outcomes by comparing postoperative results in three different hospitals with increasing resources for supporting the same surgical team. Patients data and surgical outcome of 300 consecutive patients undergoing PD were collected prospectively in the department database and divided into three periods (A = 1990-2000, B = 2001-March 2007, C = April 2007-2015). Pancreatico-jejunostomy was the procedure of choice between 1995 and 2004, and pancreatico-gastrostomy was performed afterwards. In the periods A, B and C, a total of 78, 85 and 137 PD were performed, respectively, and the number of PDs per year increased from 5 to 25. Between the three periods, the death rate (10.4 vs. 6 vs. 1.6%, p = 0.01) and intraoperative RBC transfusion rate (84.9 vs. 42.4 vs. 6.5%, p = 0.01) decreased significantly, whereas the vascular resection rate increased significantly (1.2 vs. 7 vs. 14.5, p < 0.002). Morbidity and reoperation rates did not change significantly between the three periods as well as operative time and median length of stay. Infectious complications and sepsis represented the most frequent major complication. Massive bleeding associated with uncontrolled pancreatic leak represented the major cause of morbidity and reoperation in the three periods, however, the relative mortality rate decreased significantly with no deaths in the last period. PD remains a challenging procedure with high morbidity and mortality rate. A multidisciplinary pancreatic team represents the "safety net" of pancreatic surgeon because it improves the results beyond the surgeon skills and experience.

[Artificial intelligence in medicine: limits and obstacles.] / L'intelligenza artificiale in medicina: quali limiti, quali ostacoli, quali domande.

Data scientists and physicians are starting to use artificial intelligence (AI) even in the medical field in order to better understand the relationships among the huge amount of data coming from the great number of sources today available. Through the data interpretation methods made available by the recent AI tools, researchers and AI companies have focused on the development of models allowing to predict the risk of suffering from a specific disease, to make a diagnosis, and to recommend a treatment that is based on the best and most updated scientific evidence. Even if AI is used to perform unimaginable tasks until a few years ago, the awareness about the ongoing revolution has not yet spread through the medical community for several reasons including the lack of evidence about safety, reliability and effectiveness of these tools, the lack of regulation accompanying hospitals in the use of AI by health care providers, the difficult attribution of liability in case of errors and malfunctions of these systems, and the ethical and privacy questions that they raise and that, as of today, are still unanswered.

Laparoscopic liver resection for hepatocellular carcinoma in cirrhotic patients: single center experience of 90 cases.

BACKGROUND: Hepatocellular carcinoma (HCC) with or without underlying liver disease can be treated by surgical resection. The aim of this study was to evaluate the feasibility, morbidity and mortality of a laparoscopic approach in cirrhotic patients with HCC. METHODS: From 2004 to September 2014, 90 patients underwent a laparoscopic liver resection (LLR) for HCC. Data were collected in a prospectively maintained database since 2001. Preoperative patient evaluation was based on a multidisciplinary team meeting assessment. RESULTS: Median age was 63 years; 67 (74.4%) patients were male. Median body mass index (BMI) was 26.7. Underlying liver disease was known in 68 patients: in 46 patients' hepatitis C virus (HCV)-related, in 15 patients to hepatitis B virus (HBV)-related, in 5 patients alcohol-related. Child-Pugh Score was of grade A in 85 patients and of grade B in 5 patients; 63 patients had a Model for End-stage Liver Disease (MELD) <10 and 27 patients MELD >10. A total of 18 left lateral sectionectomies, 1 left hepatectomy and 71 wedge resections or segmentectomies were performed. Conversion to laparotomy was necessary in 7 (7.7%) patients (five cases for bleeding and two cases for oncological reasons). In 90 patients, 98 HCC nodules were resected: 79 patients had one nodule, 8 patients had two nodules and 1 patient had three nodules. HCC nodules medium diameter was 29 mm (range, 4-100 mm) with median value of 25 mm. Tumor margins distance was 16 mm (range, 0-35 mm) with a median of 5 mm. Seventy nodules were located within the anterior sectors and 28 nodules within the posterior sectors. CONCLUSIONS: LLR for HCC can be performed with acceptable morbidity in patients with underlying liver disease. The use of laparoscopic surgery in cirrhotic patients may be proposed as the first-line treatment for HCC or as bridge treatment before liver transplantation.