Integrated drip-and-ship improves stroke transfer efficiency and outcomes: a comparison with traditional drip-and-ship and mothership models.

Background: While endovascular thrombectomy (EVT) has revolutionized the treatment of acute large vessel occlusions, the appropriate patient transfer paradigm remains controversial. This study compares outcomes of three transfer models in a stroke network: mothership (MS), traditional drip-and-ship (DS), and an integrated DS model using a novel transfer system (TS).

Methods: We implemented a novel TS to streamline communication and coordination between primary and comprehensive stroke centers.

A Novel Approach for Atrial Fibrillation-related Obstructive Sleep Apnea Detection Using Enhanced Single-Lead ECG Features with Customized Deep Learning Algorithm.

Study Objectives: Atrial fibrillation (AF) and obstructive sleep apnea (OSA) are interrelated conditions that substantially increase the risk of cardiovascular complications. However, concurrent detection of these conditions remains a critical unmet need in clinical practice. Current home sleep apnea test (HSAT) devices often fail to detect arrhythmias essential for diagnosing OSA-associated AF due to limited ECG monitoring capabilities, and their integration with continuous positive airway pressure (CPAP) data for treatment optimization remains underutilized.

Optimizing early hip maturation strategies in neonatal hip immaturity and dysplasia: a cohort study and network meta-analysis.

Background: Early intervention is crucial for optimizing hip maturation in developmental dysplasia of the hip (DDH). This study evaluates the clinical effectiveness of various conservative management approaches.

Methods: We employed a dual-approach methodology combining original research with systematic evidence synthesis.

Validating nonverbal cues for assessing physician empathy in telemedicine: a Delphi study.

Nonverbal communication is essential in physician-patient interaction, especially in telemedicine where verbal cues may be limited. This study aimed to identify and validate key nonverbal cues for assessing physician empathy in telemedicine consultations through a Delphi method. A three-round Delphi study was conducted from June to November 2022, involving various experts, including academics, healthcare professionals, AI/telemedicine researchers, industry professionals, and patients.

DSG2 attenuates gemcitabine efficacy through PTX3 in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most prevalent subtype of lung cancer, often diagnosed at an advanced stage with poor prognosis and limited treatment options. The Desmoglein (DSG) family plays a crucial role in maintaining cell adhesion and tissue integrity. Upregulation of DSG proteins has been implicated in tumorigenesis, invasion, and metastasis across various cancers.

Video Head Impulse Test Coherence Predicts Vertigo Recovery in Sudden Sensorineural Hearing Loss With Vertigo.

Objectives: Labyrinthitis significantly reduces quality of life due to prolonged vestibular symptoms in patients experiencing sudden sensorineural hearing loss with vertigo (SSNHLV). This study employed a novel coherence analysis in the video head impulse test (vHIT) to explore vertigo outcomes in SSNHLV patients.

Methods: A retrospective review was conducted on 48 SSNHLV patients who completed high-dose steroid treatment between December 2016 and April 2023.

Site-specific thrombus formation: advancements in photothrombosis-on-a-chip technology.

Thrombosis, characterized by blood clot formation within vessels, poses a significant medical challenge. Despite extensive research, the development of effective thrombosis therapies is hindered by substantial costs, lengthy development times, and high failure rates in medication commercialization. Conventional pre-clinical models often oversimplify cardiovascular disease, leading to a disparity between experimental results and human physiological responses.

Standardized patients' experiences of portraying characters in difficult communication scenarios: Narrative inquiry.

Background: There are limited studies that explored the preparation and challenges faced by standardized patients (SPs) in portraying characters in difficult communication scenarios, and the strategies used to overcome these challenges. The purpose of this study was to understand the experience of SPs in interpreting difficult communication situations and the learning needs of performing similar scenarios. And it allows the researchers to explore the meaning, beliefs, values, and aspiration associated with their role as SPs.

A simple, organized web-based system improved the transfer efficiency and patient outcomes for endovascular thrombectomy in regional stroke network.

Background: Endovascular thrombectomy (EVT) is a time-sensitive treatment for acute ischemic stroke with large vessel occlusion. To optimize transfer efficiency, a web-based platform was introduced in the Tainan Stroke Network (TSN). We assessed its application and effectiveness in regional stroke care.

Development and construction of the Multidimensional Self-Efficacy Scale for Epilepsy (MSESE) and its psychometric properties.

Purpose: It has become evident that patients with epilepsy require strong self-efficacy support in various domains, including work, social interaction, and academic performance, to ensure their complete social functioning. Nevertheless, previous studies have predominantly assessed the self-efficacy of individuals with epilepsy from a singular perspective of disease management. This study aimed to develop the Multidimensional Self-Efficacy Scale for Epilepsy (MSESE) to assess multiple dimensions and establish its psychometric properties.

Injectable, Antioxidative, and Tissue-Adhesive Nanocomposite Hydrogel as a Potential Treatment for Inner Retina Injuries.

Reactive oxygen species (ROS) have been recognized as prevalent contributors to the development of inner retinal injuries including optic neuropathies such as glaucoma, non-arteritic anterior ischemic optic neuropathy, traumatic optic neuropathy, and Leber hereditary optic neuropathy, among others. This underscores the pivotal significance of oxidative stress in the damage inflicted upon retinal tissue. To combat ROS-related challenges, this study focuses on creating an injectable and tissue-adhesive hydrogel with tailored antioxidant properties for retinal applications.

Tongue pressure during swallowing is an independent risk factor for aspiration pneumonia in middle-aged and older hospitalized patients: An observational study.

Aim: To evaluate oral frailty features present in hospitalized older patients with aspiration pneumonia.

Methods: We enrolled hospitalized patients aged ≥50 years and classified them into three groups: the community-acquired, aspiration, and non-community-acquired pneumonia groups. Oral frailty was defined as meeting three or more criteria from the following: choking, and decreased occlusal force, masticatory function, tongue-lip motor function, tongue pressure, and tongue pressure during swallowing.

Crowdsource authoring as a tool for enhancing the quality of competency assessments in healthcare professions.

The current Objective Structured Clinical Examination (OSCE) is complex, costly, and difficult to provide high-quality assessments. This pilot study employed a focus group and debugging stage to test the Crowdsource Authoring Assessment Tool (CAAT) for the creation and sharing of assessment tools used in editing and customizing, to match specific users' needs, and to provide higher-quality checklists. Competency assessment international experts (n = 50) were asked to 1) participate in and experience the CAAT system when editing their own checklist, 2) edit a urinary catheterization checklist using CAAT, and 3) complete a Technology Acceptance Model (TAM) questionnaire consisting of 14 items to evaluate its four domains.

Novel Software for High-level Virological Testing: Self-Designed Immersive Virtual Reality Training Approach.

Background: To ensure the timely diagnosis of emerging infectious diseases, high-tech molecular biotechnology is often used to detect pathogens and has gradually become the gold standard for virological testing. However, beginners and students are often unable to practice their skills due to the higher costs associated with high-level virological testing, the increasing complexity of the equipment, and the limited number of specimens from patients. Therefore, a new training program is necessary to increase training and reduce the risk of test failure.

A Biomimicking and Multiarm Self-Indicating Nanoassembly for Site-Specific Photothermal-Potentiated Thrombolysis Assessed in Microfluidic and In Vivo Models.

Thrombolytic and antithrombotic therapies are limited by short circulation time and the risk of off-target hemorrhage. Integrating a thrombus-homing strategy with photothermal therapy are proposed to address these limitations. Using glycol chitosan, polypyrrole, iron oxide and heparin, biomimicking GCPIH nanoparticles are developed for targeted thrombus delivery and thrombolysis.

Artificial Neural Network-Assisted Classification of Hearing Prognosis of Sudden Sensorineural Hearing Loss With Vertigo.

This study aimed to determine the impact on hearing prognosis of the coherent frequency with high magnitude-squared wavelet coherence (MSWC) in video head impulse test (vHIT) among patients with sudden sensorineural hearing loss with vertigo (SSNHLV) undergoing high-dose steroid treatment. This study was a retrospective cohort study. SSNHLV patients treated at our referral center from December 2016 to December 2020 were examined.

Virtual reality enhancing medical education and practice: Brief communication.

The COVID-19 pandemic has become a major cause of rapid globalization and digitization of educational institutions, including medical education. The adaptation to digital technologies is the purpose of best education and training practices in the development of the academic medical curriculum. Virtual reality (VR) is embraced by the 3D environment and network resources which allow the expansion of VR from the entertainment industry to the education industry.

Evaluation of an AI-Based TB AFB Smear Screening System for Laboratory Diagnosis on Routine Practice.

The most robust and economical method for laboratory diagnosis of tuberculosis (TB) is to identify mycobacteria acid-fast bacilli (AFB) under acid-fast staining, despite its disadvantages of low sensitivity and labor intensity. In recent years, artificial intelligence (AI) has been used in TB-smear microscopy to assist medical technologists with routine AFB smear microscopy. In this study, we evaluated the performance of a TB automated system consisting of a microscopic scanner and recognition program powered by artificial intelligence and machine learning.

Exploration of students' reaction in medical error events and the impact of personalized training on the speaking-up behavior in medical error events.

Background: The ability of medical students to speak up before a medical error occurs is a timely and necessary interaction to prevent potential patient harm. As it may be crucial to improve patient safety, we explored how medical students react to a medical error and provided them appropriate training regarding speaking up about medical issues.

Methods: A quasi-experimental study was conducted in Taiwan involving 153 medical students who participated in a speaking-up simulation course.