Primary intraosseous Rosai-Dorfman disease: Clinicopathological features and an assessment of a possible relationship with IgG4-related disease.

Rosai-Dorfman disease (RDD) is a rare proliferative disorder of histiocytes, and primary solitary RDD of the bone is extremely rare. Some RDDs exhibit increased immunoglobulin (Ig)G4 positive (IgG4+) plasma cell infiltration and the histopathological features of IgG4-related disease (IgG4-RD). However, the association between RDD and IgG4-RD remains unclear.

Cervical extensor muscle activity during neck tasks in individuals with and without neck pain: A systematic review.

Background: In the context of neck pain, neck muscle activity adapts through diverse regional coordination modifications during tasks. Although patterns of cervical flexor muscle impairment are well-documented, patterns in the cervical extensor muscles are less clear, hindering assessment and treatment. Despite studies revealing adaptations in the cervical extensor muscles, outcome measure heterogeneity complicates interpretation, particularly between superficial and deep muscles.

Uncertainties around net-zero climate targets have major impact on greenhouse gas emissions projections.

Globally, more than 100 countries have adopted net-zero targets. Most studies agree on how this increases the chance of keeping end-of-century global warming below 2°C. However, they typically make assumptions about net-zero targets that do not capture uncertainties related to gas coverage, sector coverage, sinks, and removals.

High-Frequency Ultrasound for Detecting Periodontal Inflammation: A Preclinical Diagnostic Accuracy Study.

Aim: Ultrasonography (US) has shown accuracy in imaging healthy periodontium. This study aims to evaluate the feasibility and accuracy of US for estimating dimensions of inflamed periodontium induced by ligature and bacteria.

Methods: Periodontal tissues of maxillary as well as mandibular premolars and molars in six female mini pigs were treated with ligature and three strains of bacteria for 4-10 weeks.

Developing a decision support tool to predict delayed discharge from hospitals using machine learning.

Background: The growing demand for healthcare services challenges patient flow management in health systems. Alternative Level of Care (ALC) patients who no longer need acute care yet face discharge barriers contribute to prolonged stays and hospital overcrowding. Predicting these patients at admission allows for better resource planning, reducing bottlenecks, and improving flow.

Young, Empowered & strong (YES): a study protocol paper for a randomized controlled trial of an mHealth symptom monitoring and self-management intervention for adolescent and young adult (AYA) breast cancer survivors.

Background: Compared to older adults with breast cancer (BC), adolescents and young adults (AYAs) develop more aggressive disease necessitating more intensive therapy with curative intent, which is disruptive to planned life trajectories. The burden of unmet needs among AYA BC survivors exists in two domains: (1) symptoms (e.g.

Exploring sources of reading comprehension difficulties among adolescents in Taiwan: a latent profile analysis with a focus on content-area reading.

With a focus on content-area reading, this study aimed to (a) understand the sources and prevalence of concurrent and specific difficulties in word-level skills, vocabulary, and knowledge among adolescent struggling readers (ASRs) and (b) explore the relations among reading skills, profiles, and reading comprehension. A dual-measure screening approach was used to classify a sample of 492 seventh- and eighth-graders. Among the subgroup of 225 ASRs, five distinct profiles were identified by latent profile analysis.

Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering.

Network security is crucial in today's digital world, since there are multiple ongoing threats to sensitive data and vital infrastructure. The aim of this study to improve network security by combining methods for instruction detection from machine learning (ML) and deep learning (DL). Attackers have tried to breach security systems by accessing networks and obtaining sensitive information.

Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks.

Graphical models are powerful tools to investigate complex dependency structures in high-throughput datasets. However, most existing graphical models make one of two canonical assumptions: (i) a homogeneous graph with a common network for all subjects or (ii) an assumption of normality, especially in the context of Gaussian graphical models. Both assumptions are restrictive and can fail to hold in certain applications such as proteomic networks in cancer.

Accurate evaluation of factor VIII activity of efanesoctocog alfa in the presence of emicizumab.

Background: Efanesoctocog is a B-domain-deleted, Fc-fusion FVIII linked to the D'D3 domain of VWF and two XTEN polypeptides, designed for an ultra-extended half-life for prophylaxis in hemophilia A, but also aiding in managing acute bleeding or surgery in patients on long-term emicizumab. However, no current laboratory method accurately measures FVIII levels in the presence of emicizumab. We hypothesized that the chromogenic (CSA) FVIII assay, specifically calibrated for efanesoctocog using bovine coagulation factors, could provide an accurate assessment of efanesoctocog activity.

Systematic Analysis of the Design, Methodology and Patient Population Characteristics of the Pediatric Direct Oral Anticoagulant (DOAC) Trials of Venous Thromboembolism Treatment.

Introduction: The pediatric direct oral anticoagulation (DOAC) trials provide an opportunity to evaluate and characterize challenges in their design and execution to inform future antithrombotic trials.

Objective: To perform a systematic review of pediatric DOAC trials for the treatment of venous thromboembolism to critically appraise their methodology and understand the feasibility and challenges.

Methods: Systematic search of MEDLINE, EMBASE, the Cochrane Library and ClinicalTrials.

Improving outcomes for care partners of individuals with traumatic brain injury: Results for a mHealth randomized control trial of the CareQOL app.

Objective: To test the efficacy of a randomized control trial low-touch mobile health intervention designed to promote care partner self-awareness and self-care.

Design: This randomized controlled trial (RCT) included a baseline assessment of self-report surveys of health-related quality of life (HRQOL), care partner-specific outcomes, and the functional/mental status of the person with TBI, as well as a 6-month home monitoring period that included three daily questions about HRQOL, monthly assessments of 12 HRQOL domains, and the use of a Fitbit® to continuously monitor physical activity and sleep. HRQOL surveys were repeated at 3- and 6-months post-home monitoring.

[Analysis of pharmaceutical interventions related to outpatient treatment of chronic heart failure].

Objective: Our aim was to analyze pharmaceutical interventions related to heart failure (HF) outpatient treatment.

Methods: An observationnal study was carried out over 6 months at the Abidjan Institute of Cardiology (ICA). Data were collected using a survey form that focused on, therapeutic adherence, drugs related-problems (DRP) and pharmaceutical interventions (PI).

Arthroscopic Inlay Suprapectoral versus Mini-Open Onlay Subpectoral Biceps Tenodesis: A Prospective, Randomized Analysis of Clinical Outcomes and Ultrasound-Assessed Structural Integrity.

Background: Surgical techniques for biceps tenodesis vary in approach, fixation strategy, and anatomic location without clear superior technique for this common procedure.

Hypothesis/purpose: The purpose of this study was to prospectively evaluate a randomized cohort of patients undergoing arthroscopic suprapectoral (ASBT) with interference screw fixation using an inlay technique versus mini-open subpectoral (MOBT) with a unicortical button implant using an onlay technique with regards to 1) clinical outcome measures and 2) structural healing as evaluated by ultrasound.

Methods: From May 2017 to April 2021, patients undergoing biceps tenodesis were preoperatively randomized to either ASBT or MOBT.

Associations of early life body size and pubertal timing with breast density and postmenopausal breast cancer risk: a mediation analysis.

Purpose: Whether breast density mediates associations between early life body size and pubertal timing with postmenopausal breast cancer is underexplored.

Methods: We studied 33,939 Danish women attending the Capital Mammography Screening Program at ages 50-69 years. Early life anthropometry and pubertal timing information came from the Copenhagen School Health Records Register.

Duration of exposure to eviction moratoria in the early COVID-19 pandemic and perinatal outcomes: a population-level analysis of US births conceived in March-May 2020.

Objective: To estimate associations between the length of state-level eviction moratoria enacted in March and April 2020 in the United States and perinatal outcomes.

Methods: We used data from natality files, 2020-2021 to identify individuals with Medicaid or no insurance who conceived in March-May 2020. The exposure was the number of months exposed to a moratorium (0 (referent, no state-level moratoria), 1-2, 3-4, 5 or more).

Machine learning in public health informatics: evidence that complex sampling structures may not be needed for prediction models with imbalanced outcomes.

Purpose: The objective of this study is to investigate the predictive ability of machine learning models for imbalanced outcomes from national survey data without the use of sampling weights.

Methods: We evaluated the predictive performance of machine learning models on imbalanced outcomes from the US National Health and Nutrition Examination Survey (USNHANES) without using sampling weights. Four machine learning models (support vector machine, random forest, least absolute shrinkage and selection operator regression, and deep neural network) were compared with a logistic model that incorporates the survey's complex sampling design.

A generalizable methodology for predicting retention time of small molecule pharmaceutical compounds across reversed-phase HPLC columns.

Quantitative structure retention relation (QSRR) is an active field of research, primarily focused on predicting chromatography retention time (Rt) based on molecular structures of an input analyte on a single or limited number of reversed-phase HPLC (RP-HPLC) columns. However, in the pharmaceutical chemistry manufacturing and controls (CMC) settings, single-column QSRR models are often insufficient. It is important to translate retention time across different HPLC methods, specifically different stationary phases (SP) and mobile phases (MP), to guide the HPLC method development, and to bridge organic impurity profiles across different development phases and laboratories.

Clinical Outcomes With Immune Checkpoint Inhibitors in Patients With FGFR2/3, MTAP or ERBB2 Genomic Alterations in Advanced Urothelial Carcinoma.

Background: FGFR2/3, MTAP and ERBB2 genomic alterations have treatment targets in advanced urothelial carcinoma (aUC). These alterations may affect tumor microenvironment and outcomes with immune checkpoint inhibitors (ICIs) in aUC.

Patients And Methods: We identified patients with available genomic data in our multi-institution cohort of patients with aUC treated with ICI.

Machine learning assisted multi-signal nanozyme sensor array for the antioxidant phenolic compounds intelligent recognition.

Identifying antioxidant phenolic compounds (APs) in food plays a crucial role in understanding their biological functions and associated health benefits. Here, a bifunctional Cu-1,3,5-benzenetricarboxylic acid (Cu-BTC) nanozyme was successfully prepared. Due to the excellent laccase-like behavior of Cu-BTC, it can catalyze the oxidation of various APs to produce colored quinone imines.

[The challenges of new digital technologies on the Moroccan health system : Case of the cardiology departement -B- University Hospital Center Ibn Sina Rabat].

Introduction: We live in the era of information technology (IT) innovations in the health sector, this has led to the appropriation of new organizational models which are profoundly changing the practice of medicine. Our study aims to determine the challenges of new digital technologies in the Moroccan health system, the case of the cardiology department - B - of the Ibn Sina University Hospital Center.

Materials And Methods: This is a single-center observational descriptive-analytical study carried out at the level of the cardiology department - B- for 6 months, from September 1, 2022.

[Optimization of heart failure treatment in Abidjan heart institute].

Introduction: The aim of the study was to assess the level of treatment optimization after follow-up at discharge.

Methods: We conducted a retrospective study carried out from January 1st, 2016 to December 31st, 2018 in Abidjan Heart Institute with patients hospitalized for heart failure and reviewed in consultation.

Results: The study involved 350 patients with an average age of 53.

[Tamponnade due à la rupture d'un tératome mature : un cas rare].

Introduction: Mature teratomas, a diverse group of germ cell tumors, rarely present with complications such as rupture.

Case Presentation: We present a case of a 27-year-old male who was admitted to our hospital with acute dyspnea. A tamponade was diagnosed and the patient underwent a pericardial puncture.