Identifying the patterns of ultra-processed food consumption and their characteristics in the UK adults using the UK National Diet and Nutritional Surveys 2008/09 to 2018/19.

Objective: To identify the dietary patterns of ultra-processed food (UPF) consumption in the UK adults, and to explore their nutritional characteristics and associated demographic and socioeconomic factors.

Design: UPF-based dietary patterns were identified using weighted principal component analysis and k-means cluster analysis on UPFs intakes (identified using Nova classification) from the cross-sectional NDNS data (2008-2019). Weighted multivariable logistic regression models were employed to identify the demographic and socioeconomic factors associated with the patterns.

Impact of the COVID-19 pandemic on the operations of one regional musculoskeletal tissue bank.

The study explores the effects of the COVID-19 pandemic on the Musculoskeletal Tissue Bank (MSTB) in Milan, with a particular focus on tissue harvesting and its subsequent use in surgical procedures. A retrospective descriptive epidemiological analysis compared data from the pre-pandemic period (2018-2019) with that of the pandemic period (2020-2022), revealing a 24.8% reduction in tissue retrievals during the pandemic.

Practice patterns and factors influencing surgical trainees' involvement in laparoscopic appendectomy in Northern Italy's largest educational network.

Introduction Laparoscopic Appendectomy (LA) allows residents to get early exposure to minimally invasive techniques. Despite its importance, involving residents as primary surgeons is a complex process, influenced by more than just clinical factors. Mentorship, environment, and perceptions play crucial roles.

Is there a need for a CT scan of the pancreatic phase? A perfusion and simulation study of the pancreas, an HCC, and the kidney cortex.

To explore the peak enhancement time of a hepatocellular carcinoma, the pancreas, and the kidney cortex and its determinants.We obtained a time enhancement curve from the perfusion CT scans of 11 advanced HCC patients (40 volumes at 1.25 s time interval, slab slice 90 mm, bolus of 50 ml of iodinated contrast agent, 350 g iodine/ml, flow 5 ml/s).

The GREENWATER study: patients' green sensitivity and potential recovery of injected contrast agents.

Objectives: The environmental footprint of iodinated contrast agents (ICAs) and gadolinium-based contrast agents (GBCAs) is noteworthy. This study assesses: (1) patients' "green sensitivity" as measured by their acceptance in a sustainability study and (2) the resulting potential reduction of contrast residuals in wastewater.

Materials And Methods: After ethical approval, participants scheduled for administration of ICAs or GBCAs for diagnostic purposes were enrolled in this prospective observational study from July 2022 to October 2023.

Efficacy of intra-articular injection of combined platelet-rich-plasma (PRP) and hyaluronic acid (HA) in knee degenerative joint disease: a prospective, randomized, double-blind clinical trial.

Purpose: Intra-articular injections of hyaluronic acid (HA) and platelet-rich plasma (PRP) represent promising options in the conservative treatment of early stages of knee osteoarthritis (OA). Although the combined use of these two compounds seems to have a synergistic effect in pre-clinical studies, few clinical trials compared the association of PRP and HA with PRP and HA alone. The aim of study is to evaluate the efficacy of combined intra-articular injections of PRP and HA in the treatment of mild to moderate knee OA, compared to PRP and HA alone.

Ischemic core detection threshold of computed tomography perfusion (CTP) in acute stroke.

Purpose: This study aimed to determine the accuracy of detecting ischemic core volume using computed tomography perfusion (CTP) in patients with suspected acute ischemic stroke compared to diffusion-weighted magnetic resonance imaging (DW-MRI) as the reference standard.

Methods: This retrospective monocentric study included patients who underwent CTP and DW-MRI for suspected acute ischemic stroke. The ischemic core size was measured at DW-MRI.

Sample size calculation for data reliability and diagnostic performance: a go-to review.

Sample size, namely the number of subjects that should be included in a study to reach the desired endpoint and statistical power, is a fundamental concept of scientific research. Indeed, sample size must be planned a priori, and tailored to the main endpoint of the study, to avoid including too many subjects, thus possibly exposing them to additional risks while also wasting time and resources, or too few subjects, failing to reach the desired purpose. We offer a simple, go-to review of methods for sample size calculation for studies concerning data reliability (repeatability/reproducibility) and diagnostic performance.

The progression trajectory of Bipolar Disorder: results from the application of a staging model over a ten-year observation.

Background: Trying to better define Bipolar Disorder (BD) progression, different staging models have been conceptualized, each one emphasizing different aspects of illness. In a previous article we retrospectively applied the main staging models to a sample of 100 bipolar patients at four time points over a ten-year observation. In the present study, focusing on Kupka & Hillegers's model, we aimed to assess the transition of the same sample through the different stages of illness and to explore the potential role of clinical variables on the risk of progression.

Impact of in vitro SARS-CoV-2 infection on breast cancer cells.

The pandemic of coronavirus disease 19 (COVID-19), caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), had severe repercussions for breast cancer patients. Increasing evidence indicates that SARS-CoV-2 infection may directly impact breast cancer biology, but the effects of SARS-CoV-2 on breast tumor cells are still unknown. Here, we analyzed the molecular events occurring in the MCF7, MDA-MB-231 and HCC1937 breast cancer cell lines, representative of the luminal A, basal B/claudin-low and basal A subtypes, respectively, upon SARS-CoV-2 infection.

Circulating perturbation of phosphatidylcholine (PC) and phosphatidylethanolamine (PE) is associated to cardiac remodeling and NLRP3 inflammasome in cardiovascular patients with insulin resistance risk.

Lipidome perturbation occurring during meta-inflammation is associated to left ventricle (LV) remodeling though the activation of the NLRP3 inflammasome, a key regulator of chronic inflammation in obesity-related disorders. Little is known about phosphatidylcholine (PC) and phosphatidylethanolamine (PE) as DAMP-induced NLRP3 inflammasome. Our study is aimed to evaluate if a systemic reduction of PC/PE molar ratio can affect NLRP3 plasma levels in cardiovascular disease (CVD) patients with insulin resistance (IR) risk.

Assessing the Association between Biomarkers and COVID-19 Mortality Using the Joint Modelling Approach.

We evaluated the association between biomarkers and COVID-19 mortality. Baseline characteristics of 403 COVID-19 patients included sex and age; biomarkers, measured throughout the follow-up, included lymphocytes, neutrophils, ferritin, C-reactive protein, glucose, and LDH. Hazard ratios (HRs) and corresponding 95% credible intervals (CIs) were estimated through joint models (JMs) using a Bayesian approach.

Allografts use in orthopedic surgery: trend change over the past 11 years from a regional tissue bank.

Allografts are the second most transplanted tissue in medicine after blood and are now increasingly used for both primary and revision surgery. Allografts have the advantages of lower donor site morbidity, availability of multiple grafts, and shorter operative time. The Banks represents the bridge between Donor and Recipient and guarantees the quality and safety of the distributed allografts Given the increasing interest in these tissues, a retrospective analysis of data collected from the Regional Musculoskeletal Tissue Bank registry over an 11-year period (2009-2019) was conducted.

Longitudinal study of human polyomaviruses viruria in kidney transplant recipients.

Introduction: Immunosuppression after kidney transplantation (KTx) exposes recipients to Human Polyomaviruses (HPyVs) infections, whose natural history is still misunderstood.

Methods: Allograft biopsies, and urine from 58 donor-recipient pairs were collected before KTx (T0) and 1 (T1), 15 (T2), 30 (T3), 60 (T4), 90 (T5), 180 (T6), 270 (T7), 360 (T8), and 540 (T9) days after transplant. Specimens were tested for JC (JCPyV) and BK (BKPyV), by quantitative Real-Time PCR.

Human cytomegalovirus-related gastrointestinal disease after kidney transplantation: A systematic review.

Background: Human-cytomegalovirus (hCMV) infection involving the gastrointestinal tract represents a leading cause of morbidity and mortality among kidney transplant (KT) recipients (KTRs). Signs and symptoms of the disease are extremely variable. Prompt anti-viral therapy administration and immunosuppression modification are key factors for optimizing management.

Sample size and predictive performance of machine learning methods with survival data: A simulation study.

Prediction models are increasingly developed and used in diagnostic and prognostic studies, where the use of machine learning (ML) methods is becoming more and more popular over traditional regression techniques. For survival outcomes the Cox proportional hazards model is generally used and it has been proven to achieve good prediction performances with few strong covariates. The possibility to improve the model performance by including nonlinearities, covariate interactions and time-varying effects while controlling for overfitting must be carefully considered during the model building phase.

Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges.

Background: In high-dimensional data (HDD) settings, the number of variables associated with each observation is very large. Prominent examples of HDD in biomedical research include omics data with a large number of variables such as many measurements across the genome, proteome, or metabolome, as well as electronic health records data that have large numbers of variables recorded for each patient. The statistical analysis of such data requires knowledge and experience, sometimes of complex methods adapted to the respective research questions.

Association of Oxygen Therapy with the Natural Disease Progression of Cystic Fibrosis: A Multi-State Model of the European Cystic Fibrosis Society Patient Registry.

Background: Association between dependence on oxygen therapy (OT) and natural disease progression in people with cystic fibrosis (pwCF) has not been estimated yet. The aim of this study is to understand the prognosis for pwCF on OT, evaluating how the transition probabilities from being alive without lung transplantation (LTx) to LTx and to death, and from being alive after LTx to death change in pwCF with and without OT.

Methods: We used 2008-2017 data from the 35-country European CF Society Patient Registry.

Factors associated with perioperative mortality after late open conversion for failed endovascular aortic repair.

Introduction: The aim of this study was to perform a systematic review about the clinical and technical aspects of late open conversion for failed endovascular aortic repair (EVAR) of abdominal aortic aneurysms (AAA), and to investigate if the need for suprarenal aortic cross clamping, graft infection, urgent procedures, endoleaks and aortic rupture were associated with an increase of 30-days (perioperative) mortality.

Evidence Acquisition: A literature search was conducted on PubMed using the words "open conversion endovascular" on December 29, 2021. Studies included randomized controlled trials, cohort studies, and case series of patients submitted to open conversion that were performed at least 1 month after the initial EVAR for AAA, reporting about 30-days mortality after surgery.