The Accuracy of the Passive Leg Raising Test Using the Perfusion Index to Identify Preload Responsiveness-A Single Center Study in a Resource-Limited Setting.

We investigated the accuracy of predicting preload responsiveness by means of a passive leg raising test (PLR) using the perfusion index (PI) in critically ill patients showing signs of hypoperfusion in a resource-limited setting. We carried out a prospective observational single center study in patients admitted for sepsis or severe malaria with signs of hypoperfusion in Chattogram, Bangladesh. A PLR was performed at baseline, and at 6, 24, 48, and 72 h.

Prioritizing attributes of approaches to analyzing patient-centered outcomes that are truncated due to death in critical care clinical trials: a Delphi study.

Background: A key challenge for many critical care clinical trials is that some patients will die before their outcome is fully measured. This is referred to as "truncation due to death" and must be accounted for in both the treatment effect definition (i.e.

Healthcare professionals' understanding of children's rights: a systematic review of the empirical evidence-base.

Background: The concept of children's rights emerged during the 1980s and emphasised the role of children as active participants in matters which concern them.

Aim: This review aims to identify and synthesise the empirical evidence base on healthcare professionals' (HCPs) understanding of children's rights.

Methods: Five electronic databases (PubMed, CINAHL, Embase, PsycINFO, and the Web of Science) were systematically searched in May 2023.

The hidden impact: social isolation and inflammation's role in pancreatic cancer risk among those with diabetes.

Background: Pancreatic cancer poses a significant challenge in individuals with diabetes, prompting a reevaluation of established risk factors beyond conventional glycemic control measures.

Objectives: To explore the complex interplay of metabolic and psychosocial determinants in pancreatic cancer risk among individuals with diabetes, challenging prevailing perspectives and advocating for a comprehensive approach.

Methods: A total of 21,945 UK Biobank participants with baseline diabetes diagnosis were analyzed.

Modelling emergency response times for Out-of-Hospital Cardiac Arrest (OHCA) patients in rural areas of the North of England using routinely collected data.

Background: National response time targets for ambulance services are known to be more strongly maintained in urban areas compared to rural. That may mean that responses in rural areas could be less immediate which can in turn affect survival of those experiencing cardiac arrest. Thus, analysis of variation in response times using routinely collected data can be used to understand which rural areas have the highest need for emergency intervention.

Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology.

Background: Deep learning (DL) has set new standards in cancer diagnosis, significantly enhancing the accuracy of automated classification of whole slide images (WSIs) derived from biopsied tissue samples. To enable DL models to process these large images, WSIs are typically divided into thousands of smaller tiles, each containing 10-50 cells. Multiple Instance Learning (MIL) is a commonly used approach, where WSIs are treated as bags comprising numerous tiles (instances) and only bag-level labels are provided during training.

BenchAMRking: a Galaxy-based platform for illustrating the major issues associated with current antimicrobial resistance (AMR) gene prediction workflows.

Background: The Joint Programming Initiative on Antimicrobial Resistance (JPIAMR) networks 'Seq4AMR' and 'B2B2B AMR Dx' were established to promote collaboration between microbial whole genome sequencing (WGS) and antimicrobial resistance (AMR) stakeholders. A key topic discussed was the frequent variability in results obtained between different microbial WGS-related AMR gene prediction workflows. Further, comparative benchmarking studies are difficult to perform due to differences in AMR gene prediction accuracy and a lack of agreement in the naming of AMR genes (semantic conformity) for the results obtained.

Exploring the challenges which influence general dental practitioners' participation as educational supervisors in dental foundation training in the South West of England.

Introduction The challenges of recruitment and retention of dentists within the NHS are a major contributory factor in delivering dental access. Availability and geographical location of dental foundation training (DFT) placements is considered to be an important element in recruiting new dental graduates to poorly served areas. A recent decline in the number of dentists applying to act as educational supervisors (ESs) for DFT has been observed, which could have a direct impact on the future sustainability of NHS services.

Antibiotic prophylaxis for patients undergoing dental care: a multi-centre evaluation in community and hospital dental services.

Background Infective endocarditis (IE) is a life-threatening condition known to be associated with transient bacteraemia, the source of which can be the oral cavity. Scottish Dental Clinical Effectiveness Programme (SDCEP) 2018 implementation advice was introduced to provide practical guidance on National Institute for Health and Care Excellence Clinical Guideline 64 (2016) for management of patients at risk of IE undergoing dental treatment.Aims To assess current compliance with SDCEP's Antibiotic prophylaxis against infective endocarditis in six UK special care dentistry services.

SNOMED-CT and learning health systems for NHS dentistry - a dream needing to become reality.

There has been discussion and confusion about SNOMED-CT (systematised nomenclature of medicine clinical terminology), learning health systems (LHSs) and their relevance in dentistry. This article aims to provide an overview of SNOMED-CT, LHSs and the all-too-often omitted patient and service benefits from their use. LHSs are delivering impactful benefits to patients and services globally in medicine.

Applying Normalisation Process Theory to a peer-delivered complex health intervention for people experiencing homelessness and problem substance use.

Background: The Supporting Harm Reduction through Peer Support (SHARPS) study involved designing and implementing a peer-delivered, harm reduction intervention for people experiencing homelessness and problem substance use. Normalisation Process Theory (NPT) provided a framework for the study.

Methods: Four Peer Navigators (individuals with personal experience of problem substance use and/or homelessness) were recruited and hosted in six third sector (not-for-profit) homelessness services in Scotland and England (United Kingdom).

Machine learning in the prediction of human wellbeing.

Subjective wellbeing data are increasingly used across the social sciences. Yet, despite the widespread use of such data, the predictive power of approaches commonly used to model wellbeing is only limited. In response, we here use tree-based Machine Learning (ML) algorithms to provide a better understanding of respondents' self-reported wellbeing.

Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats.

The COVID-19 pandemic exposed a global deficiency of systematic, data-driven guidance to identify high-risk individuals. Here, we illustrate the utility of routinely recorded medical history to predict the risk for 1741 diseases across clinical specialties and support the rapid response to emerging health threats such as COVID-19. We developed a neural network to learn from health records of 502,489 UK Biobank participants.

Typing of feces-derived Candida albicans strains using a novel seven-locus microsatellite panel reveals associations with yeast phenotype in individuals with inflammatory bowel disease.

Inflammatory diseases of the human gastrointestinal tract are affected by the microbes that reside in the mucosal surfaces. Patients with inflammatory bowel diseases (IBD) have altered bacterial and fungal intestinal compositions, including higher levels of fecal Candida yeasts. Ongoing research indicates that genetic and phenotypic diversity of Candida albicans may be linked with disease severity.

Dent disease: Clinical Practice Recommendations.

Dent disease is a rare X-linked tubulopathy that is characterized by low-molecular-weight (LMW) proteinuria associated with hypercalciuria, which may lead to nephrolithiasis, nephrocalcinosis, and kidney failure between the 3rd and the 5th decades of life in 30-80% of affected males. The disease is most often associated with various manifestations of proximal tubular dysfunction. Affected individuals may present nephrotic range proteinuria which may be misinterpreted and cause diagnostic delay.

Physiological basis of non-invasive ventilation in the newborn.

Non-invasive ventilation (NIV) is a form of respiratory support provided primarily to preterm born infants in an effort to avoid any endotracheal intubation or as a weaning step following invasive ventilation. In the context of the respiratory distress syndrome of the newborn, NIV could target and partially reverse specific pathophysiological phenomena, by improving alveolar recruitment and establishing adequate functional residual capacity. It can also assist in minimizing lung injury by avoiding excessive pressure delivery, which can be harmful for the developing lung.

Guidance on biomaterials for periodontal tissue regeneration: Fabrication methods, materials and biological considerations.

Regeneration of the multiple tissues and interfaces in the periodontal complex necessitates multidisciplinary evaluation to establish structure/function relationships. This article, an initiative of the Academy of Dental Materials, provides guidance for performing chemical, structural, and mechanical characterization of materials for periodontal tissue regeneration, and outlines important recommendations on methods of testing bioactivity, biocompatibility, and antimicrobial properties of biomaterials/scaffolds for periodontal tissue engineering. First, we briefly summarize periodontal tissue engineering fabrication methods.

Iron transfer across a functional syncytialized trophoblast monolayer.

Studying iron transfer across trophoblast monolayers is crucial given the significance of iron in maintaining a healthy pregnancy and supporting fetal growth and development. To get insights into the complex mechanism of transplacental iron transfer, we developed a standardized Transwell®-based monolayer model using BeWo (clone b30) cells. Our proposed method is divided into two parts: 1.

Five principles to prioritise in small-scale surgical quality improvement: a qualitative study of the views of surgical improvement leaders.

Objective: Variations in the quality and safety of surgical care remain persistent. Efforts to improve are needed, but are themselves variably effective, with often disappointing impacts. When compared with large-scale, multisite and better resourced improvement efforts, the evidence base for small-scale quality improvement (QI) has remained under-developed and lacking in clarity on good practice.

Unveiling the potential of bean proteins: Extraction methods, functional and structural properties, modification techniques, physiological benefits, and diverse food applications.

Bean proteins, known for their sustainability, versatility, and high nutritional value, represent a valuable yet underutilized resource, receiving less industrial attention compared to soy and pea proteins. This review examines the structural and molecular characteristics, functional properties, amino acid composition, nutritional value, antinutritional factors, and digestibility of bean proteins. Their applications in various food systems, including baked goods, juice and milk substitutes, meat alternatives, edible coatings, and 3D printing inks, are discussed.