1,009 results match your criteria: "LMN); the Center for Improving Value in Health Care[Affiliation]"

Cancer disrupts intratumoral innate-adaptive immune crosstalk, but how the systemic immune landscape evolves during breast cancer progression remains unclear. We profiled circulating immune cells in stage I-III and stage IV triple-negative breast cancer (TNBC) patients and healthy donors (HDs). Metastatic TNBC (mTNBC) patients had reduced T cells, dendritic cells, and differentiated B cells compared to non-metastatic TNBC patients and HDs, partly linked to prior chemotherapy.

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Background: In-hospital mortality risk prediction is an important tool for benchmarking quality and patient prognostication. Given changes in patient characteristics and treatments over time, a contemporary risk model for patients with acute myocardial infarction (MI) is needed.

Methods: Data from 313 825 acute MI hospitalizations between January 2019 and December 2020 for adults aged ≥18 years at 784 sites in the National Cardiovascular Data Registry Chest Pain-MI Registry were used to develop a risk-standardized model to predict in-hospital mortality.

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Background/objectives: This project aims to provide valuable insights into the formulation of orodispersible films (ODFs) for the delivery of PROTAC ARV-110. The primary objective of this drug delivery formulation is to enhance the solubility of PROTAC ARV-110, which faces significant challenges due to the low solubility of this active pharmaceutical ingredient, as it belongs to a molecular class that is considered to exceed the "Rule of Five".

Methods: We employed the concept of developing a rapidly disintegrating ODF to enhance the solubility of PROTAC ARV-110, utilizing polyvinyl alcohol as the polymer of choice.

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Neurophysiologic Innovations in ALS: Enhancing Diagnosis, Monitoring, and Treatment Evaluation.

Brain Sci

December 2024

Djavad Mowafaghian Centre for Brain Health, Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.

Amyotrophic lateral sclerosis (ALS) is a progressive disease of both upper motor neurons (UMNs) and lower motor neurons (LMNs) leading invariably to decline in motor function. The clinical exam is foundational to the diagnosis of the disease, and ordinal severity scales are used to track its progression. However, the lack of objective biomarkers of disease classification and progression delay clinical trial enrollment, muddle inclusion criteria, and limit accurate assessment of drug efficacy.

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Isolated foot drop is a neurological sign frequently linked to lower motor neuron (LMN) lesions, including peroneal nerve damage or L4-L5 radiculopathy. Nonetheless, upper motor neuron (UMN) lesions, such as strokes or tumors located in the parasagittal motor cortex, may sometimes manifest as isolated foot drops. The main causes of isolated foot drop secondary to central etiologies are uncommon, with few instances documented in the literature.

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Quantifying the mechanical response of the biological milieu (such as the cell's interior) and complex fluids (such as biomolecular condensates) would enable a better understanding of cellular differentiation and aging and accelerate drug discovery. Here we present time-shared optical tweezer microrheology to determine the frequency- and age-dependent viscoelastic properties of biological materials. Our approach involves splitting a single laser beam into two near-instantaneous time-shared optical traps to carry out simultaneous force and displacement measurements and quantify the mechanical properties ranging from millipascals to kilopascals across five decades of frequency.

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This study (NCT04728035) aimed to explore the safety and efficacy of liposomal irinotecan (HE072) in patients with metastatic triple-negative breast cancer (mTNBC). This study consisted of two parts. In part 1, the 3 + 3 design was used to investigate three dose levels of HE072 (50, 70 and 90 mg/m).

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Cervical lower motor neuron syndromes: A diagnostic challenge.

J Neurol Sci

January 2025

Veneto Regional Center Motor Neuron Diseases, Department of Neurosciences, University Hospital of Padova, Italy.

Cervical lower motor neuron (LMN) syndromes, also known as brachial paresis, are characterized by muscle atrophy, weakness, and decreased reflexes in the upper limbs, devoid of sensory symptoms. These syndromes can stem from various factors, including degenerative conditions, immune-mediated diseases, infections, toxic exposures, metabolic disorders, and vascular anomalies. Clinical presentations vary, with motor neuron involvement potentially limited to the cervical area or extending to other regions, affecting prognosis.

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Purpose: Parkinson disease (PD) is a progressive neurodegenerative disease. The aim of this study is to investigate the association between acoustic and cortical brain features in Parkinson's disease patients.

Methods: We recruited 19 (eight females, 11 males) Parkinson's disease patients and 19 (eight females, 11 males) healthy subjects to participate in the experiment.

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Neuromuscular disorders (NMD) with neonatal or early infantile onset are usually severe and differ in symptoms, complications, and treatment options. The establishment of a diagnosis relies on the combination of clinical examination, morphological analyses of muscle biopsies, and genetic investigations. Here, we re-evaluated and classified a unique collection of 535 muscle biopsies from NMD infants aged 0-6 months examined over a period of 52 years.

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Swift induction of human spinal lower motor neurons and robust ALS cell screening via single-cell imaging.

Stem Cell Reports

January 2025

Keio University Regenerative Medicine Research Center, Kanagawa 210-0821, Japan; Division of Neurodegenerative Disease Research, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo 173-0015, Japan. Electronic address:

This study introduces a novel method for rapidly and efficiently inducing human spinal lower motor neurons (LMNs) from induced pluripotent stem cells (iPSCs) to eventually elucidate the pathomechanisms of amyotrophic lateral sclerosis (ALS) and facilitate drug screening. Previous methods were limited by low induction efficiency, poor LMN purity, or labor-intensive induction and evaluation processes. Our protocol overcomes these challenges, achieving around 80% induction efficiency within just two weeks by combining a small molecule-based approach with transcription factor transduction.

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Introduction: The aim of the study is to determine the role of upper motor neuron (UMN) or lower motor neuron (LMN) dysfunction as the primary initiator of distal-proximal and lateral-medial gradients of muscle involvement in amyotrophic lateral sclerosis (ALS).

Methods: Concentric needle electromyography recordings were performed in deltoid, abductor digiti minimi, and first dorsal interosseous (FDI) muscles in patients with ALS and controls during slight voluntary contraction needed to activate two motor units (MU). Five motor unit potential (MUP) pairs were recorded from each muscle.

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NET guidelines for white patients may not fit Asian patients.

Am J Surg

February 2025

The Department of Surgery, University of Alabama at Birmingham, 1808 7th Avenue S, Birmingham, AL, 35233, USA. Electronic address:

Introduction: Pancreatic neuroendocrine tumors (pNETs) are slow growing, malignant tumors that show different survival outcomes by race. Current size-based guidelines were largely developed in White patients. Our aim was to investigate tumor size and incidence of lymph node metastasis (LNM) between White and Asian pNET patients to evaluate generalizability of established guidelines.

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Australian Eastern brown snakes (Pseudonaja textilis) can cause venom-induced consumptive coagulopathy (VICC) in envenomated dogs and cats due to toxin-induced consumption of clotting factors. The objective of this study was to describe presenting clinical signs, prevalence of VICC and haemorrhage, VICC resolution timelines and patient outcomes in a population of dogs and cats with Eastern brown snake envenomation (EBSE). Data from dogs and cats presenting with EBSE were retrospectively evaluated.

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In the process of rice production, rice pests are one of the main factors that cause rice yield reduction. To implement prevention and control measures, it is necessary to accurately identify the types of rice pests and diseases. However, the application of image recognition technologies focused on the agricultural field, especially in the field of rice disease and pest identification, is relatively limited.

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As an important nonoil route for acquiring aromatics, the highly efficient conversion of methanol to aromatics over Zn/ZSM-5 zeolites remains an ongoing challenge. In this work, we developed a uniform loading approach of zinc and further combined it with a hollow capsule structure to design the high-performance Zn/ZSM-5 catalyst. The electrostatic assembly among EDTA, -butylamine and negative silica-alumina gel gave rise to an "Inorganic-Organic Hybrid Sphere" in form of Na·{[(SiO)Al]/(SiO)(-butylamine)(EDTA)(-butylamine)(SiO), which further transformed into mesoporous aluminosilicates sphere (MASS) through calcination.

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A nomogram of inflammatory indexes for preoperatively predicting the risk of lymph node metastasis in colorectal cancer.

Tech Coloproctol

November 2024

Department of Colorectal Surgery, Dalian University Affiliated Xinhua Hospital, Dalian, No. 156, Wansui Street, Shahekou District, Dalian City, 116021, Liaoning Province, China.

Purpose: To investigate the independent risk factors associated with the development of lymph node metastasis (LNM) in patients with colorectal cancer (CRC), focusing on preoperative systemic inflammatory indicators, and to construct a corresponding risk predictive model.

Materials And Methods: The clinical data of 241 patients with CRC who underwent surgery after the first diagnosis between January 2012 and December 2017 at our hospital were reviewed. A best logistic regression model was constructed by Lasso regression for multivariate analysis, from which a Nomogram was derived.

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It is crucial to develop highly efficient electrochemistry systems for sensitive detection of tumour markers. In this work, naphthalenediimide derivatives with electrochemical application potential were successfully synthesized and characterized. Electrochemistry and calculation of density functional theory (DFT) showed that 2,7-bis(4-(dimethylamino)phenyl)benzo[lmn] [3,8]phenanthroline-1,3,6,8(2H,7H)-tetraone (NDI-1) was an ideal candidate for electrochemical probe construction.

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Background: Amyotrophic lateral sclerosis (ALS) is a lethal progressive neurodegenerative disease characterized by upper motor neuron (UMN) and lower motor neuron (LMN) involvement. Their varying degree of involvement results in a clinical heterogenous picture, making clinical assessments of UMN signs in patients with ALS often challenging. We therefore explored whether instrumented assessment using robotic manipulation could potentially be a valuable tool to study signs of UMN involvement.

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Introduction: Lymphatic node metastatic disease encompasses a distinct oncological entity which has been associated with poor prognosis. Image-guided thermal ablation has recently been proposed as a safe and alternative treatment for these lesions. The aim of this systematic review is to evaluate the pooled safety and efficacy of thermal ablation techniques for the treatment of oligometastatic non-cervical lymph nodal disease.

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Introduction: Despite improvements in long-term asthma treatment, an increasing number of children are being hospitalized in pediatric intensive care units (PICU) for asthma. The main objective of this study was to describe a recent cohort of children hospitalized in PICU for asthma to identify risk factors associated with a need for respiratory support, and multiple PICU stays.

Methods: We conducted a retrospective cohort study in three PICUs in Paris (intensive care units 3A Study), using medical files of children hospitalized for asthma between February 2019 and October 2020.

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Article Synopsis
  • Multimodal classification algorithms are used in machine learning to sort different types of data by looking at various features from different sources.
  • Researchers created a new system called UMCF that can handle many types of classification tasks without being stuck to just one, and it can adapt to different kinds of data.
  • In tests, UMCF did better than other methods in classifying fake news and sentiment analysis, improving results by 2.3% on average.
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Article Synopsis
  • * The study focused on colistin-resistant, carbapenemase-producing Klebsiella pneumoniae found in the Kathajodi river, identifying multiple resistance genes and the potential for these bacteria to cause serious infections.
  • * Isolates showed extensive drug resistance and virulence factors, raising alarms about their spread and potential outbreaks; the research highlights the need for improved waste management to prevent resistant strains from entering the environment.
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Sex-Stratified Genome-Wide Association Study in the Spanish Population Identifies a Novel Locus for Lacunar Stroke.

Stroke

October 2024

Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau, Barcelona, Spain (J.C.-M., E.M., C.G.-F., N.C., M.L., L.L.-C., J.M.M.-C., I.F.-C.).

Background: Ischemic stroke (IS) represents a significant health burden globally, necessitating a better understanding of its genetic underpinnings to improve prevention and treatment strategies. Despite advances in IS genetics, studies focusing on the Spanish population and sex-stratified analyses are lacking.

Methods: A case-control genome-wide association study was conducted with 9081 individuals (3493 IS cases and 5588 healthy controls).

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Article Synopsis
  • The research focuses on developing a deep convolutional neural network (DCNN) method to classify brain tracts, aiming to better predict short-term language improvement after surgery using brain connectivity data.
  • A three-step method was used, involving enhancing the classification of brain tracks, analyzing language networks, and employing machine learning to assess language improvement before and after surgery.
  • Results showed a significant increase in accuracy for predicting postoperative language improvements, suggesting that this approach could help doctors identify patients who may benefit most from early surgical intervention.
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