Impact of lactate levels on admission in STEMI patients with cardiogenic shock treated with IMPELLA.

The concomitant use of IMPELLA and veno-arterial extracorporeal membrane oxygenation (V-A ECMO) (ECPELLA) has been increasingly used to treat severe cardiogenic shock. However, the relationship between severity of heart failure on admission and prognosis based on differences in the mechanical circulatory support (MCS) is not fully understood. This study evaluated the association between lactate levels on admission and clinical outcomes based on differences in MCS.

Tricuspid regurgitation and outcomes in mitral valve transcatheter edge-to-edge repair.

Background And Aims: The association between periprocedural change in tricuspid regurgitation (TR) and outcomes in patients undergoing mitral transcatheter edge-to-edge repair (M-TEER) is unclear. This study aimed to examine the prognostic value of TR before and after M-TEER.

Methods: Patients in the OCEAN-Mitral registry were divided into four groups according to baseline and post-procedure echocardiographic assessments: no TR/no TR (no TR), no TR/significant TR (new-onset TR), significant TR/no TR (normalized TR), and significant TR/significant TR (residual TR) (all represents before/after M-TEER).

Oedema index trajectories at heart failure nurse clinics over 6 months after acute heart failure predict patient outcomes: a retrospective cohort study.

Aims: Fluid accumulation is associated with poor outcomes in patients with heart failure (HF). After acute HF, HF nurses provide home care suggestions based on oedema status assessed at outpatient clinics. However, the pattern of serial oedema changes and their associations with patient outcomes are unknown.

The effect of arthroscopic Bankart repair and remplissage procedure on joint range of motion and functional outcomes in anterior shoulder instability.

Objective: This study aimed to investigate the e!ect of arthroscopic Bankart repair (ABR) alone and ABR with an additional remplissage procedure on joint range of motion and functional results in patients with anterior shoulder instability.

Methods: This retrospective study included patients treated 1 year ago with either ABR alone or the ABR additional remplissage procedure. The Bankart lesion was determined by magnetic resonance imaging, and the amount of glenoid bone loss was determined by computed tomography.

Bone morphogenetic protein-4 induced matrix turnover and osteogenic differentiation-related molecules of stem cells from apical papilla and its associated ALK/Smad signaling.

Background/purpose: Revascularization procedures are used over apexification to treat teeth with necrotic pulp tissues and incomplete root formation. Clinically, inducing proliferation, migration, matrix deposition, and differentiation of stem cells from apical papilla (SCAPs) are critical for pulp regeneration. The study aimed to elucidate the impact of bone morphogenetic protein-4 (BMP-4) on plasminogen activation molecules and the osteogenic/odontogenic differentiation of SCAPs, as well as understand the related signaling mechanisms.

Influence of operator experience on the complete-arch accuracy and time-based efficiency of three intraoral scanners.

Background/purpose: The performance of intraoral scanners (IOSs) relies on the operator's skills. However, whether operator experience influences IOS accuracy remains unclear. This study investigated the effect of operator experience on the trueness accuracy and time-based efficiency of IOSs.

Improving osteogenic properties of zirconia ceramic via glow discharge plasma-enhanced deposition of amine organic compound.

Background/purpose: Osseointegration potential is greatly depended on the interaction between bone cells and dental implant surface. Since zirconia ceramic has a bioinert surface, functionalization of the surface with an organic compound allylamine was conducted to overcome its drawback of minimal interaction with the surrounding bone.

Materials And Methods: The zirconia surface was initially treated with argon glow discharge plasma (GDP), then combined with amine plasma at three different conditions of 50-W, 75-W and 85-W, to prepare the final samples.

Using optimization approach to design dental implant in three types of bone quality - A finite element analysis.

Background/purpose: The use of finite element (FE) analysis in implant biomechanics offers many advantages over other approaches in simulating the complexity of clinical situations. The aim of this study was to perform an optimization analysis of dental implants with different thread designs in three types of bone quality.

Materials And Methods: The three-dimensional FE model of a mandibular bone block with a screw-shaped dental implant and superstructure was simulated.

Phosphotungstic acid-enhanced micro-computed tomography and RNA sequencing provide a new perspective on temporomandibular joint arthritis induced by complete Freund's adjuvant and collagen-induced arthritis in rat models.

Background/purpose: Temporomandibular joint (TMJ) arthritis causes inflammation and degradation of the mandibular condylar cartilage and subchondral bone. Complete Freund's adjuvant (CFA) and collagen-induced arthritis (CIA) are models for studying TMJ arthritis. While micro-computed tomography (micro-CT) is crucial for three-dimensional (3D) bone analysis, it has limitations in imaging nonmineralized tissues.

identification through bronchoscope in intensive care unit - a retrospective, databased cohort study.

Introduction: Invasive pulmonary aspergillosis (IPA) increases the risk of mortality of critically ill patients. Diagnostic criteria specifically targeting patients in intensive care units(ICUs) have been developed to improve diagnostic sensitivity. This study investigated health outcomes among patients in ICUs with Aspergillus isolates identified using bronchoscopy.

Physical symptoms distress and demoralization among haemodialysis patients; the mediating effect of spirituality and self-compassion. A cross-sectional questionnaire survey.

Background: Long-term haemodialysis patients often experience physical symptom distress (PSD) and varying levels of demoralization. Spirituality and self-compassion can help patients to cope these challenges. However, the interrelations between these variables remain underexplored, necessitating further investigation.

Integrative analysis of cuproptosis-related lncRNAs: Unveiling prognostic significance, immune microenvironment, and copper-induced mechanisms in prostate cancer.

Background: Long non-coding ribonucleic acids (lncRNAs) regulate messenger RNA (mRNA) expression and influence cancer development and progression. Cuproptosis, a newly discovered form of cell death, plays an important role in cancer. Nonetheless, additional research investigating the association between cuproptosis-related lncRNAs and prostate cancer (PCa) prognosis is required.

Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern Taiwan.

Background: The rising global prevalence of metabolic syndrome (MetS), characterized by a constellation of cardiovascular risk factors, underscores the urgent need to identify reliable predictive biomarkers. We hypothesize that an elevated atherogenic index of plasma (AIP) predicts MetS risk through lipid imbalance, but population-specific variations in its predictive strength remain unexplored. Our study aimed to assess AIP), a ratio of triglycerides to high-density lipoprotein cholesterol, as a predictor of MetS.

Exploring age and gender disparities in cardiometabolic phenotypes and lipidomic signatures among Chinese adults: a nationwide cohort study.

Understanding sex disparities in modifiable risk factors across the lifespan is essential for crafting individualized intervention strategies. We aim to investigate age-related sex disparity in cardiometabolic phenotypes in a large nationwide Chinese cohort. A total of 254,670 adults aged 40 years or older were selected from a population-based cohort in China.

Novel mapping techniques for ablation of non-pulmonary vein foci using complex signal identification.

The complex signal identification function of CARTO version 8 enables quantitative evaluation of local potential fractionation. We present a case where this advanced technology successfully identified non-pulmonary vein foci associated with fractionated potentials during sinus rhythm.

Use of Magnetic Resonance Neurography for Sensory Nerve Injuries of the Head and Neck.

Background: Identification of peripheral nerve injuries of the head and neck can be challenging due to a broad spectrum of symptoms from neuropathic pain to headaches and migraine. This article aimed to present the clinical features and diagnostic workup of patients with acute and chronic peripheral nerve injuries of the head and neck using magnetic resonance neurography (MRN), to demonstrate potential advantages compared with conventional magnetic resonance imaging (MRI).

Methods: Patients who presented with suspected peripheral nerve injury were either referred for a conventional MRI or MRN.

MiR-4298 and lncKRTAP5-6-3 regulated Cathepsin D expression through ERK-MAPK signaling pathway in chronic UVB-damaged HaCaT cells.

Objective: MiRNAs and lncRNAs are important regulators in the process of skin photoaging. In this study, we investigated the expression changes and interactions between miR4298 and lncKRTAP5-6-3 in chronically UVB-damaged human keratinocyte cell line (HaCaT) cells and explored miR4298-MAPK/ERK signaling pathway-Cathepsin D-lncKRTAP5-6-3 mechanisms in photoaging cells.

Methods: HaCaT cells were irradiated with 12 mJ/cm UVB once a day for 7 days.

Exploring the progress and trends of immunotherapy for type 1 diabetes: A comprehensive bibliometric analysis spanning nearly two decades.

Introduction: Immunotherapy is a crucial treatment for type 1 diabetes (T1D), yet analyses focusing on research priorities and trends in this field are limited. Therefore, this study employs bibliometric methods to systematically explore the current research status of immunotherapy for T1D.

Methods: Based on the Web of Science Core Collection Database, 1573 articles and review articles related to immunotherapy for T1D published from 2004 to 2023 were screened for bibliometric analysis.

Downregulation of AATK enhances susceptibility to ferroptosis by promoting endosome recycling in gefitinib-resistant lung cancer cells.

Ferroptosis has been characterised by disruption of the cell membrane through iron-related lipid peroxidation. However, regulation of iron homeostasis in lung cancer cells that are resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) remains unclear. Transcriptome analysis identified a significant downregulation of apoptosis-associated tyrosine kinase (AATK) mRNA expression in gefitinib-resistant PC9 (PC9-GR) cells, which were found to be more susceptible to ferroptosis inducers.

More than meets the eye: predicting adrenocortical carcinoma outcomes with pathomics.

Background: Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy with high recurrence rates and poor prognosis. Current prognostic models are inadequate, highlighting the need for innovative diagnostic tools. Pathomics, which utilizes computer algorithms to analyze whole-slide images, offers a promising approach to enhance prognostic models for ACC.

Inappropriate Shocks in Brugada Syndrome Patients With a Subcutaneous Implantable Cardioverter Defibrillator.

Background: This study aimed to compare inappropriate shock (IAS) rates between subcutaneous implantable cardioverter-defibrillator (S-ICD) and transvenous ICD (TV-ICD) in Brugada syndrome (BrS) patients and identify risk factors for IAS in S-ICD use.

Methods: We enrolled consecutive patients with BrS who underwent ICD implantation between 2013 and 2023. Data on clinical characteristics, S-ICD screening test data, and IAS occurrence were retrospectively analyzed.

A generative deep neural network for pan-digestive tract cancer survival analysis.

Background: The accurate identification of molecular subtypes in digestive tract cancer (DTC) is crucial for making informed treatment decisions and selecting potential biomarkers. With the rapid advancement of artificial intelligence, various machine learning algorithms have been successfully applied in this field. However, the complexity and high dimensionality of the data features may lead to overlapping and ambiguous subtypes during clustering.