Incidence of bradycardia with the use of remdesivir for coronavirus disease of 2019 and risk factor analysis.

Background: Remdesivir is commonly used for inpatient treatment of coronavirus disease of 2019 (COVID-19) and may be associated with bradycardia. The objective is to investigate the incidence of bradycardia in patients with COVID-19 receiving remdesivir and evaluate potential risk factors associated with bradycardia.

Methods: This single-center, retrospective, cohort study evaluated the incidence of bradycardia during and up to 48 h after remdesivir administration in adults admitted to the medical center for treatment of COVID-19.

Chronic Health Conditions in the Workplace: Work Stressors and Supportive Supervision, Work Design, and Programs.

A large and growing number of workers are managing chronic physical and mental health conditions while working, necessitating attention from both researchers and leaders and practitioners in organizations. Much of the current discourse around research and practice in this area is focused on prevention of chronic disease and rehabilitation of disability to help workers return to work. Less commonly attended to are workplace factors that can support the quality of working life and the longevity of working life for workers with chronic health conditions.

Optimal size and PEG coating of gold nanoparticles for prolonged blood circulation: a statistical analysis of published data.

This study presents a statistical analysis of how gold nanoparticle (GNP) size and polyethylene glycol (PEG) coating molecular weight (MW) affect the circulation of nanoparticles in blood. We showed a non-linear relationship with interaction between GNP size and PEG MW. The findings revealed a threshold effect, and recommendations for GNP coating are discussed.

DNA-elucidated life cycle of a highly pathogenic avian nematode: (Spirurida: Acuariidae) and its morphological development from infective third-stage larva to adult.

Gibson, 1968 is an acuariid nematode associated with lethal cases of streptocarosis of diverse aquatic birds in North America and Europe. This study reports as an agent causing severe and fatal necrosis of the oesophagus and proventriculus of anatids, i.e.

Three-dimensional assessment of ascending aortic stiffness, motion, and growth in ascending thoracic aortic aneurysm.

Aims: Aortic wall stiffening in ascending thoracic aortic aneurysm (aTAA) is common. However, the spatial and temporal relationships between stiffness, aortic size, and growth in aTAA remain unclear.

Methods And Results: In this single-centre retrospective study, we utilized vascular deformation mapping to extract multi-directional aortic motion, aortic distensibility, and aortic growth in a multi-planar fashion from multi-phasic ECG-gated computed tomography angiograms.

Deep learning model to diagnose cardiac amyloidosis from haematoxylin/eosin-stained myocardial tissue.

Aims: Amyloid deposition in myocardial tissue is a definitive feature for diagnosing cardiac amyloidosis, though less invasive imaging modalities such as bone tracer cardiac scintigraphy and cardiac magnetic resonance imaging have been established as first steps for its diagnosis. This study aimed to develop a deep learning model to support the diagnosis of cardiac amyloidosis from haematoxylin/eosin (HE)-stained myocardial tissue.

Methods And Results: This single-centre retrospective observational study enrolled 166 patients who underwent myocardial biopsies between 2008 and 2022, including 76 patients diagnosed with cardiac amyloidosis and 90 with other diagnoses.

TopMT-GAN: a 3D topology-driven generative model for efficient and diverse structure-based ligand design.

Recent advancements in 3D structure-based molecular generative models have shown promise in expediting the hit discovery process in drug design. Despite their potential, efficiently generating a focused library of candidate molecules that exhibit both effective interactions and structural diversity at a large scale remains a significant challenge. Moreover, current studies often lack comprehensive comparisons to high-throughput virtual screening methods, resulting in insufficient evaluation of their effectiveness.

Post-COVID Hypertension With Hyperreninemic Hyperaldosteronism in a Pediatric Patient.

COVID-19 infection may predispose patients to long-term renovascular complications. Early recognition and management are crucial for optimal outcomes. This case report underscores the importance of thorough follow-up care for children recovering from COVID-19, with a focus on monitoring blood pressure and renal function to mitigate long-term renovascular disease.

Extending health equity to people with moderate and mild hemophilia A: revisiting the HAVEN 6 trial.

Congenital hemophilia A (HA) disease severity has traditionally been categorized according to intrinsic factor (F)VIII levels, with <1% of normal indicating severe HA, 1% to 5% moderate HA, and 6% to 40% mild HA. However, mounting evidence illustrates considerable variability in bleeding phenotype regardless of FVIII level. Despite treatment advances, people with moderate or mild HA may be neglected, as treatment guidelines and established norms focus on FVIII levels, and many clinical trials do not include people with FVIII > 1%.

Acquired factor V inhibitor in a case of pediatric venous thrombosis.

Background: The development of acquired factor (F)V with inhibitor (AFVwI) is rare, resulting mainly in bleeding complications, although sporadic cases of thrombosis in adults have been reported.

Key Clinical Question: How do you diagnose and manage a pediatric case of acute deep venous thrombosis associated with the concurrent finding of AFVwI?

Clinical Approach: A 13-year-old female with Crohn's Disease and May-Thurner anatomy developed extensive deep venous thrombosis of the left lower extremity, complicated by the finding of AFVwI, discovered during the evaluation of a prolonged prothrombin time and a low FV activity. Anticoagulation was initiated with low-molecular-weight heparin followed by a direct oral anticoagulant, rivaroxaban, without any complications.

Primary Literature for Teaching Neuroimmunology - An Instructor's Resource.

Supplementing textbooks with primary literature in teaching neuroscience is a growing practice associated with several positive outcomes, such as increased content knowledge, research and data skills, and critical thinking. This pedagogical approach, however, still needs further development to make it accessible to instructors and valuable to students. This article describes a series of published articles we used in an undergraduate neuroimmunology course.

Impact of antiparasitic therapy on cardiovascular outcomes in chronic Chagas disease. A systematic review and meta-analysis.

Background: Endemic in more than 20 countries, Chagas disease affects 6.3 million people worldwide, leading to 28,000 new infections and 7700 deaths each year. Previous meta-analyses on antiparasitic treatment need updates to encompass recent studies and to assess key clinically meaningful endpoints.

Thermal Conductivity of Liquid -1,2-Dichloroethene (R-1130(E)): Measurement and Modeling.

The thermal conductivity of liquid -1,2-dichloroethene (R-1130(E)) was measured at temperatures ranging from 240 K to 340 K and pressures up to 25 MPa using a transient hot-wire instrument. A total of 447 thermal conductivity data points were measured along six isotherms. Each isotherm includes data at nine pressures, which were chosen to be at equal density increments starting at a pressure of 0.

Guidance needed for using artificial intelligence to screen journal submissions for misconduct.

Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and publishers' responsibilities concerning fairness and transparency also raise ethical concerns.

Current state and future perspectives of spinal navigation and robotics-an AO spine survey.

Introduction: The use of robotics in spine surgery has gained popularity. This study aims to assess the current state of robotics and raise awareness of its educational implications.

Research Question: What are the current adoption trends and barriers to the implementation of robotic assistance in spine surgery?

Material And Methods: An online questionnaire comprising 27 questions was distributed to AO spine members between October 25th and November 13th, 2023, using the SurveyMonkey platform (https://www.

Empirical design of population health strategies accounting for the distribution of population health risks.

Recent discussions in epidemiology have emphasised the need to estimate the heterogeneous effects of risk factors across the distribution of health outcomes for better aetiological understanding of the determinants of population health. We propose using quantile regression-based decomposition to expand the empirical discussion on population health intervention strategies for health equity by incorporating population homogeneity/heterogeneity in the risk-outcome association. We theorised that the 'proportionate universalism' approach presumes population homogeneity in the risk-outcome association with varying risk intensities, which decomposition analysis shows as the 'covariates part' between groups.

Integrating Patient-Generated Health Data from Mobile Devices into Electronic Health Records: Best Practice Recommendations by the IFCC Committee on Mobile Health and Bioengineering in Laboratory Medicine (C-MHBLM).

Background: An increasing number of wearable medical devices are being used for personal monitoring and professional health care purposes. These mobile health devices collect a variety of biometric and health data but do not routinely connect to a patient's electronic health record (EHR) or electronic medical record (EMR) for access by a patient's health care team.

Methods: The International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Committee on Mobile Health and Bioengineering in Laboratory Medicine (C-MHBLM) developed consensus recommendations for consideration when interfacing mobile health devices to an EHR/EMR.

Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening.

Accurate cancer risk estimation is crucial to clinical decision-making, such as identifying high-risk people for screening. However, most existing cancer risk models incorporate data from epidemiologic studies, which usually cannot represent the target population. While population-based health surveys are ideal for making inference to the target population, they typically do not collect time-to-cancer incidence data.

A comparison of some existing and novel methods for integrating historical models to improve estimation of coefficients in logistic regression.

Model integration refers to the process of incorporating a fitted historical model into the estimation of a current study to increase statistical efficiency. Integration can be challenging when the current model includes new covariates, leading to potential model misspecification. We present and evaluate seven existing and novel model integration techniques, which employ both likelihood constraints and Bayesian informative priors.

Studying Chinese immigrants' spatial distribution in the Raleigh-Durham area by linking survey and commercial data using romanized names.

Many population surveys do not provide information on respondents' residential addresses, instead offering coarse geographies like zip code or higher aggregations. However, fine resolution geography can be beneficial for characterizing neighbourhoods, especially for relatively rare populations such as immigrants. One way to obtain such information is to link survey records to records in auxiliary databases that include residential addresses by matching on variables common to both files.

Synthesis estimators for transportability with positivity violations by a continuous covariate.

Studies intended to estimate the effect of a treatment, like randomized trials, may not be sampled from the desired target population. To correct for this discrepancy, estimates can be transported to the target population. Methods for transporting between populations are often premised on a positivity assumption, such that all relevant covariate patterns in one population are also present in the other.

Birds of a feather? Mis- and dis-information on the social media platform X related to avian influenza.

Objective: Social media has become an important tool in monitoring infectious disease outbreaks such as coronavirus disease 2019 and highly pathogenic avian influenza (HPAI). Influenced by the recent announcement of a possible human death from H5N2 avian influenza, we analyzed tweets collected from X (formerly Twitter) to describe the messaging regarding the HPAI outbreak, including mis- and dis-information, concerns, and health education.

Methods: We collected tweets involving keywords relating to HPAI for 5 days (June 04 to June 08, 2024).