The Treatment Experiences of Vegetarians and Vegans with an Eating Disorder: A Qualitative Study.

Background: Vegetarianism and veganism have long been tied to disordered eating and are frequently considered to be methods of limiting available food choices. Health professionals specializing in eating disorder treatment may modify their treatment practices to support their vegetarian or vegan clients. However, there are no formally recognized clinical guidelines for the treatment of eating disorders in these groups.

Surveillance in inflammatory bowel disease: white light endoscopy with segmental re-inspection versus dye-based chromoendoscopy - a multi-arm randomised controlled trial (HELIOS).

Background: It remains unclear if the increased colorectal neoplasia detection rate in inflammatory bowel disease (IBD) by high-definition (HD) dye-based chromoendoscopy compared with HD white-light endoscopy is due to enhanced contrast or increased inspection times. Longer withdrawal times may yield similar neoplasia detection rates as found by HD chromoendoscopy.

Objective: To compare colorectal neoplasia detection rates for HD white-light endoscopy with segmental re-inspection and HD chromoendoscopy, using single-pass HD white-light endoscopy as an additional control group.

Revolutionising Faculty Development and Continuing Medical Education Through AI-Generated Videos.

Producing high-quality and engaging educational videos for continuing medical education (CME) is traditionally time-consuming and costly. Generative AI tools have shown promise in creating synthetic videos that mimic traditional lecture videos. We conducted a comparative analysis of four AI video generation platforms HeyGen, Synthesia, Colossyan, and HourOne using the Kano model.

Using Artificial Intelligence to Detect Risk of Family Violence: Protocol for a Systematic Review and Meta-Analysis.

Background: Despite the implementation of prevention strategies, family violence continues to be a prevalent issue worldwide. Current strategies to reduce family violence have demonstrated mixed success and innovative approaches are needed urgently to prevent the occurrence of family violence. Incorporating artificial intelligence (AI) into prevention strategies is gaining research attention, particularly the use of textual or voice signal data to detect individuals at risk of perpetrating family violence.

How to Tackle Discordance in Adjuvant Chemotherapy Recommendations by Using Oncotype DX Results, in Early-Stage Breast Cancer.

Background: The use of the Oncotype DX test reduces the rate of adjuvant chemotherapy recommendations. Few in-depth analyses have been performed on this decision-making process.

Methods: We retrospectively analyzed patient data based on available Oncotype DX test results (RS) irrespective of nodal status at a single center.

[A PhD completed. Oral manifestations in inflammatory bowel diseases].

Crohn's disease and ulcerative colitis are chronic inflammatory diseases of the gastrointestinal tract. In addition to bowel symptoms, patients may also have oral manifestations. This thesis investigated potential associations between disease activity in the gut, oral health, salivary gland function, and saliva composition.

Spatial datasets of 30-year (1991-2020) average monthly total precipitation and minimum/maximum temperature for Canada and the United States.

Thin plate smoothing spline models, covering Canada and the continental United States, were developed using ANUSPLIN for 30-year (1991-2020) monthly mean maximum and minimum temperature and precipitation. These models employed monthly weather station values from the North American dataset published by National Oceanic and Atmospheric Administration's (NOAA's) National Centers for Environmental Information (NCEI). Maximum temperature mean absolute errors (MAEs) ranged between 0.

Cherry on Top or Real Need? A Review of Explainable Machine Learning in Kidney Transplantation.

Research on solid organ transplantation has taken advantage of the substantial acquisition of medical data and the use of artificial intelligence (AI) and machine learning (ML) to answer diagnostic, prognostic, and therapeutic questions for many years. Nevertheless, despite the question of whether AI models add value to traditional modeling approaches, such as regression models, their "black box" nature is one of the factors that have hindered the translation from research to clinical practice. Several techniques that make such models understandable to humans were developed with the promise of increasing transparency in the support of medical decision-making.

Polarized HLA Class I Expression on Renal Tubules Hinders the Detection of Donor-Specific Urinary Extracellular Vesicles.

Purpose: Kidney transplantation is the optimal treatment for patients with end-stage kidney disease. Donor-specific urinary extracellular vesicles (uEVs) hold potential as biomarkers for assessing allograft status. We aimed to develop a method for identifying donor-specific uEVs based on human leukocyte antigen (HLA) mismatching with the kidney transplant recipients (KTRs).

CoPoP liposomes displaying stabilized clade C HIV-1 Env elicit tier 2 multiclade neutralization in rabbits.

One of the strategies towards an effective HIV-1 vaccine is to elicit broadly neutralizing antibody responses that target the high HIV-1 Env diversity. Here, we present an HIV-1 vaccine candidate that consists of cobalt porphyrin-phospholipid (CoPoP) liposomes decorated with repaired and stabilized clade C HIV-1 Env trimers in a prefusion conformation. These particles exhibit high HIV-1 Env trimer decoration, serum stability and bind broadly neutralizing antibodies.

Digital-Based Interventions for Complex Post-Traumatic Stress Disorder: A Systematic Literature Review.

Research has shown that complex post-traumatic stress disorder (cPTSD) differs from post-traumatic stress disorder (PTSD) on core symptoms relating to the individual's sense of self, and this has driven the need for treatment approaches to address these specific features of cPTSD. The COVID-19 pandemic has led to the increased use of digital-based interventions (DBIs) to treat mental illnesses, including trauma-related disorders. However, while evidence for the use of DBIs for PTSD has previously been synthesized, the current review is the first synthesis of research on the use of DBIs for cPTSD.

A systematic review and meta-analysis of intensive treatment options for adults with eating disorders.

Eating disorders (EDs) are complex conditions with one of the highest mortality rates among psychiatric illnesses. While outpatient evidence-based treatments for EDs in adults exist, there is often utilisation of more intensive interventions as part of treatment. However, a comprehensive analysis of the impacts of intensive treatment (inpatient, residential and day program) on physical and psychosocial outcomes is lacking.

A systematic review and meta-analysis of the relationship between obsessive-compulsive symptoms and symptoms of proposed orthorexia nervosa: The contribution of assessments.

Objective: This systematic review and meta-analysis aimed to update the literature on orthorexia nervosa (ON), a proposed diagnosis of pathologically 'healthy' eating, by critically analysing the current evidence for the relationship between ON and obsessive-compulsive (OC) symptoms. Further, this paper aimed to compare the ON/OC relationship significance and strength based on when the ON measurement tool was developed.

Method: PsycINFO, PubMed and Web of Science databases were queried for quantitative, peer-reviewed studies recruiting adult participants, published in English up to April 2023.

Opposite trends in incidence of breast cancer in young and old female cohorts in Hungary and the impact of the Covid-19 pandemic: a nationwide study between 2011-2020.

Background: This nationwide study examined breast cancer (BC) incidence and mortality rates in Hungary between 2011-2019, and the impact of the Covid-19 pandemic on the incidence and mortality rates in 2020 using the databases of the National Health Insurance Fund (NHIF) and Central Statistical Office (CSO) of Hungary.

Methods: Our nationwide, retrospective study included patients who were newly diagnosed with breast cancer (International Codes of Diseases ICD)-10 C50) between Jan 1, 2011 and Dec 31, 2020. Age-standardized incidence and mortality rates (ASRs) were calculated using European Standard Populations (ESP).

Directed evolution unlocks oxygen reactivity for a nicotine-degrading flavoenzyme.

The flavoenzyme nicotine oxidoreductase (NicA2) is a promising injectable treatment to aid in the cessation of smoking, a behavior responsible for one in ten deaths worldwide. NicA2 acts by degrading nicotine in the bloodstream before it reaches the brain. Clinical use of NicA2 is limited by its poor catalytic activity in the absence of its natural electron acceptor CycN.

Examining health professional perspectives on social media body image movements: A qualitative exploration.

There has been a lack of investigation into the understanding of social media body image movements from the healthcare perspective. Health professionals can have a strong influence on how their patients relate to their own bodies, including experiences of weight-based discrimination. This study examined the perspectives of health professionals on body image social media movements and whether they believed they were relevant to their professional practice.

Alloreactive T cells to Assess Acute Rejection Risk in Kidney Transplant Recipients.

Unlabelled: Memory T cells are important mediators of transplant rejection but are not routinely measured before or after kidney transplantation. The aims of this study were as follows: (1) validate whether pretransplant donor-reactive memory T cells are reliable predictors of acute rejection (AR) (2) determine whether donor-reactive memory T cells can distinguish AR from other causes of transplant dysfunction.

Methods: Samples from 103 consecutive kidney transplant recipients (2018-2019) were obtained pretransplantation and at time of for-cause biopsy sampling within 6 mo of transplantation.

Polyfunctional donor-reactive T cells are associated with acute T-cell-mediated rejection of the kidney transplant.

Acute T-cell-mediated rejection (aTCMR) still remains a clinical problem after kidney transplantation despite significant improvements in immunosuppressive regimens. Polyfunctional T cells, i.e.

Booster with Ad26.COV2.S or Omicron-adapted vaccine enhanced immunity and efficacy against SARS-CoV-2 Omicron in macaques.

Omicron spike (S) encoding vaccines as boosters, are a potential strategy to improve COVID-19 vaccine efficacy against Omicron. Here, macaques (mostly females) previously immunized with Ad26.COV2.

Physiologically-Based Kinetic Modeling of Intravenously Administered Gold (Au) Nanoparticles.

Physiologically-based kinetic (PBK) modeling is a valuable tool to understand the kinetics of nanoparticles (NPs) in vivo. However, estimating PBK parameters remains challenging and commonly requires animal studies. To develop predictive models to estimate PBK parameter values based on NP characteristics, a database containing PBK parameter values and corresponding NP characteristics is needed.