Publications by authors named "La Chen"

Intracardiac migration of inferior vena cava (IVC) filter or stent is a rare but potentially fatal complication of endovascular venous device placement. There is no consensus whether migrated stents should be surgically removed by open cardiac surgery or retrieved by the percutaneous endovascular route and whether an intervention should be performed immediately or expectantly. Herein, we report a 39-year-old female who received emergent left lobe living donor liver transplantation (LDLT) owing to posthepatectomy liver failure.

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Background: Decision-making in lumbar surgery for degenerative conditions is influenced by various factors, including patient expectations and empowerment. The role of patient-reported outcomes (PROs) in guiding these decisions is underexplored. This study aims to understand the perspectives of patients and spine surgeons in decision-making for lumbar surgery and explore their perspectives on the relevance and influence of pre- and post-surgery PROs.

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Lung cancer is one of the leading causes of cancer-related death worldwide, and there is an urgent need to develop more reliable preclinical models to identify effective treatments. Moreover, lung cancer exhibits significant heterogeneity between individuals and requires precision medicine to achieve comprehensive management. Lung cancer organoids (LCOs) are derived from patients' tumor tissues or tumor cells, which enables them to faithfully recapitulate in vivo tumor characteristics and heterogeneity, providing a promising platform to study drug resistance mechanisms and predict therapy efficacy.

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Background: Early detection and accurate differentiation of malignant ground-glass nodules (GGNs) in lung CT scans are crucial for the effective treatment of lung adenocarcinoma. However, existing imaging diagnostic methods often struggle to distinguish between benign and malignant GGNs in the early stages. This study aims to predict the malignancy risk of GGNs observed in lung CT scans by applying two radiomics methods: topological data analysis and texture analysis.

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Article Synopsis
  • - Recent advancements in artificial intelligence, especially machine learning, are improving medical services, disease prediction, and healthcare innovation, though its use in nursing has been limited so far.
  • - The paper covers types of machine learning, common models like neural networks and natural language processing, and compares these approaches with traditional statistics, noting both benefits and limitations.
  • - The authors advocate for interdisciplinary collaboration between IT and nursing to enhance knowledge sharing, critically evaluate analytical methods, and ensure continual improvement in the research process, aiming to maximize AI's potential in nursing.
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Background: Vitamin D is associated with vascular function; however, the impact of different vitamin D levels on vascular elasticity following prolonged exercise remains uncertain. The primary objective of this study was to investigate the association of vitamin D levels with changes in peripheral pulse wave velocity (pPWV) and the magnitude of acute post-exercise hypotension (PEH) following prolonged endurance exercise in healthy young men.

Methods: All the participants were divided into two groups: the 25-hydroxyvitamin D (25(OH)D) sufficiency group (25(OH)D ≧50 nmol/L) and the deficiency group (25(OH)D < 50 nmol/L).

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Background: The EQ-5D-Y is a generic preference-weighted measure for children and adolescents which was developed within Europe. Two versions exist, the EQ-5D-Y-3L (Y-3L) and EQ-5D-Y-5L (Y-5L). This study aimed to cross-culturally adapt the Y-3L and Y-5L for use in Singapore and to assess the content validity, specifically, the relevance and comprehensiveness of the EQ-5D-Y descriptive system (DS) in Asia.

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Brown carbon (BrC) has a substantial direct radiative effect, but current estimates of its impact on radiative balance are highly uncertain due to a lack of measurements of its light-absorbing properties, such as mass absorption efficiency (MAE). Here, we present a new analytical paradigm based on a Bayesian inference (BI) model that takes multiwavelength aethalometer measurements and total carbon data to resolve the concentrations of black carbon and BrC, and MAEs of BrC on a sample-by-sample basis. Hourly MAEs, unattainable in previous studies, can now be calculated, enabling the first-time observation of the darkening-bleaching dynamics of BrC in response to photochemical transformation.

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Objective: We aimed to synthesize the evidence on the construct validity and responsiveness of the EQ-5D and compare them with asthma-specific health-related quality-of-life scales, to guide further research and clinical applications in asthma.

Methods: We searched key databases from inception to 1 June, 2024 and used the COnsensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) method to appraise the evidence. The effect size estimates were aggregated using the inverse variance method to evaluate the relative efficiency of EQ-5D measures against the Asthma Quality of Life Questionnaire (AQLQ) and/or its corresponding preference-based index, Asthma Quality of Life-5 Dimensions (AQL-5D).

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Carboxy-terminal domain small phosphatase like 2 (CTDSPL2), one of the haloacid dehalogenase phosphatases, is associated with several diseases including cancer. However, the role of CTDSPL2 and its regulatory mechanism in lung cancer remain unclear. Here, we aimed to explore the clinical implications, biological functions, and molecular mechanisms of CTDSPL2 in non-small cell lung cancer (NSCLC).

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Background: Type 2 diabetes is a chronic disease with a significant medical burden. eHealth care integrates medicine and technology to enhance the outcomes of such patients; however, adequate eHealth literacy (eHL) is necessary for that to happen. Fostering eHL is crucial for patients with diabetes to engage with eHealth care and receive quality care and timely support.

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Objectives: To provide an updated summary of published anchor-based Minimally Important Difference (MID) estimates for the EQ-5D index and EQ visual analog scale (EQ VAS) scores and identify factors influencing those estimates.

Study Design And Setting: We systematically searched eight electronic databases from January 1990 to March 2023. We examined the association of baseline score, type of score change (improvement/worsening), data source, value set, disease/condition, treatment type (surgical/non-surgical), and type of anchor (clinical vs.

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Molecular information can be acquired from sample surfaces in real time using a revolutionary molecular imaging technique called mass spectrometry imaging (MSI). The technique can concurrently provide high spatial resolution information on the spatial distribution and relative proportion of many different compounds. Thus, many scientists have been drawn to the innovative capabilities of the MSI approach, leading to significant focus in various fields during the past few decades.

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The biological activities of heparan sulfate (HS) are intimately related to their molecular weights, degree and pattern of sulfation and homogeneity. The existing methods for synthesizing homogeneous sugar chains of low dispersity involve multiple steps and require stepwise isolation and purification processes. Here, we designed a mesoporous metal-organic capsule for the encapsulation of glycosyltransferase and obtained a microreactor capable of enzymatically catalyzing polymerization reactions to prepare homogeneous heparosan of low dispersity, the precursor of HS and heparin.

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Glycosaminoglycans (GAGs) are a family of structurally complex heteropolysaccharides that play pivotal roles in biological functions, including the regulation of cell proliferation, enzyme inhibition, and activation of growth factor receptors. Therefore, the synthesis of GAGs is a hot research topic in drug development. The enzymatic synthesis of GAGs has received widespread attention due to their eco-friendly nature, high regioselectivity, and stereoselectivity.

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Article Synopsis
  • The study aimed to compare the effectiveness and tolerability of two treatments for chronic migraine: CGRP monoclonal antibodies (mAbs) and onabotulinumtoxinA.
  • It included 649 chronic migraine patients and found that CGRP mAbs reduced monthly migraine days more significantly than onabotulinumtoxinA and had a higher responder rate.
  • Both treatments were well-tolerated, with fewer adverse events reported for CGRP mAbs, but further studies are needed to confirm these results.
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Precision medicine is part of 5 focus areas of the Challenges in IBD Research 2024 research document, which also includes preclinical human IBD mechanisms, environmental triggers, novel technologies, and pragmatic clinical research. Building on Challenges in IBD Research 2019, the current Challenges aims to provide a comprehensive overview of current gaps in inflammatory bowel diseases (IBDs) research and deliver actionable approaches to address them with a focus on how these gaps can lead to advancements in interception, remission, and restoration for these diseases. The document is the result of multidisciplinary input from scientists, clinicians, patients, and funders, and represents a valuable resource for patient-centric research prioritization.

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Background And Aims: The prevalence of inflammatory bowel disease (IBD) is increasing globally. In this context, identifying risk factors for severe disease is important. We examined how race/ethnicity and immigration status influence IBD manifestations, treatments, and outcomes in a diverse, tertiary-care safety-net hospital.

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Seawater-drowning-induced acute lung injury (SD-ALI) is a life-threatening disorder characterized by increased alveolar-capillary permeability, an excessive inflammatory response, and refractory hypoxemia. Perfluorocarbons (PFCs) are biocompatible compounds that are chemically and biologically inert and lack toxicity as oxygen carriers, which could reduce lung injury and . The aim of our study was to explore whether the vaporization of PFCs could reduce the severity of SD-ALI in canines and investigate the underlying mechanisms.

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This study investigated how relocation patterns affect disaster survivors' psychological stress on the diverse durations and spaces of relocation. It analyzed a 10-year data set of 1,236 families affected by 2009's Typhoon Morakot in Taiwan, identifying six relocation patterns through dynamic time warping (DTW). A hierarchical linear model was utilized, revealing the discernible impacts of environmental factors, sociocultural factors, and family-level socioeconomic factors on psychological stress.

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Purpose Of Review: Growing evidence supports the contribution of age in the composition and function of the gut microbiome, with specific findings associated with health in old age and longevity.

Recent Findings: Current studies have associated certain microbiota, such as Butyricimonas, Akkermansia, and Odoribacter, with healthy aging and the ability to survive into extreme old age. Furthermore, emerging clinical and pre-clinical research have shown promising mechanisms for restoring a healthy microbiome in elderly populations through various interventions such as fecal microbiota transplant (FMT), dietary interventions, and exercise programs.

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Article Synopsis
  • The study investigates the challenges nurses face in clinical settings post-COVID-19, revealing significant resignation rates and an overlooked area in healthcare.
  • Through focus group discussions with 33 nurses, key themes emerged: the 'Invisibility of Nurses' and the 'Moral Duty of Nursing Practice,' showcasing the tensions nurses experience in their roles.
  • The research calls for policy changes to better recognize and support the nursing profession, highlighting the need for improved working conditions and fair compensation to enhance nurse retention and care quality.
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As populations age, average life expectancy increases and the complexity of diseases rises, leading to nursing care and healthcare systems facing severe challenges related to inadequate resources. Artificial intelligence (AI), including elements such as investigation, integration, learning, prediction, and decision-making, holds significant potential for application in clinical care not only to enhance care quality but also to help guide the future direction of healthcare. AI applications are already being increasingly utilized to improve the quality of clinical care and to streamline workflows.

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Background: Common bile duct (CBD) stones commonly occur in cholecystectomy cases. The management options include laparoscopic CBD exploration (LCBDE) or endoscopic retrograde cholangiopancreatography (ERCP) followed by laparoscopic cholecystectomy (LC). Although ERCP is fully developed, it has complications, and LCBDE is a proven alternative.

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