Evaluation of a Global Initiative for Asthma Education and Implementation Program to Improve Asthma Care Quality (CARE4ALL): Protocol for a Multicenter, Single-Arm Study.

Background: Poor symptom control and exacerbations of asthma diminish quality of life and pose a significant burden to patients and society. Implementing evidence-based management as recommended by the Global Initiative for Asthma (GINA), especially introducing inhaled corticosteroid-containing treatments, has the potential to vastly reduce exacerbations and the high burden of asthma in China. However, domestic implementation of the GINA recommendations has been unsatisfactory, especially in lower-level hospitals; thus, an enhancement to the awareness of and adherence to the GINA recommendations among Chinese physicians is needed to improve patient outcomes.

Research progress on gene mutations and drug resistance in leukemia.

Leukemia is a type of blood cancer characterized by the uncontrolled growth of abnormal cells in the bone marrow, which replace normal blood cells and disrupt normal blood cell function. Timely and personalized interventions are crucial for disease management and improving survival rates. However, many patients experience relapse following conventional chemotherapy, and increasing treatment intensity often fails to improve outcomes due to mutated gene-induced drug resistance in leukemia cells.

Molecular group and correlation guided structural learning for multi-phenotype prediction.

We propose a supervised learning bioinformatics tool, Biological gRoup guIded muLtivariate muLtiple lIneAr regression with peNalizaTion (Brilliant), designed for feature selection and outcome prediction in genomic data with multi-phenotypic responses. Brilliant specifically incorporates genome and/or phenotype grouping structures, as well as phenotype correlation structures, in feature selection, effect estimation, and outcome prediction under a penalized multi-response linear regression model. Extensive simulations demonstrate its superior performance compared to competing methods.

Respiratory medical quality control system construction in China.

The construction of a quality control system for respiratory medicine is of great significance for improving the quality and homogenization of the diagnosis and treatment of respiratory diseases. The national respiratory quality control work conducted by the China National Respiratory Medicine Quality Control Center was summarized.

Promoting effect of ammonia oxidation on sulfur oxidation during composting: Nitrate as a bridge.

Ammonia (NH) and hydrogen sulfide (HS) are the main odor components in the composting process. Controlling their emissions is very important to reduce environmental pollution and improve the quality of composting products. This study explored the effects of functional bacteria on nitrogen and sulfur metabolism in the composting process of food waste (FW) by adding ammonia-oxidizing bacteria (AOB, A treatment), sulfur-oxidizing bacteria (SOB, S treatment), and combined AOB and SOB (AS treatment), respectively.

Frailty as a breakthrough point for multimorbidity management among older adults: challenges and opportunities in China.

argue that tailored strategies are needed to seamlessly integrate frailty assessment into multimorbidity management, thereby promoting a shift towards a health oriented management approach

Ambient particulate matter and chronic obstructive pulmonary disease mortality: a nationwide, individual-level, case-crossover study in China.

Background: Short-term exposure to particulate matter air pollution has been associated with the exacerbations of COPD, but its association with COPD mortality was not fully elucidated. We aimed to assess the association between short-term particulate matter exposure and the risk of COPD mortality in China using individual-level data.

Methods: We derived 2.

Morvan's syndrome with hypercoagulable condition in a patient positive for anti-CASPR2 antibodies: A case report.

Rationale: The phenomenon of hypercoagulability has not been previously documented in individuals with Morvan's syndrome, especially in those associated with contactin-associated protein-like receptor 2 (CASPR2).

Patient Concerns: A previously healthy 32-year-old Chinese male was admitted to the hospital with central and peripheral neurologic symptoms. The patient was tested positive for anti-CASPR2 antibodies, and also presented with an activated coagulation state on admission, characterized by a low activated partial thromboplastin time and a high platelet count.

COPD, PRISm and lung function reduction affect the brain cortical structure: a Mendelian randomization study.

Chronic obstructive pulmonary disease (COPD) has been associated with alterations in the brain cortical structure. Nonetheless, the causality between COPD and brain cortical structure has not been determined. In the present study, we used Mendelian randomization (MR) analysis to explore the causal effects of genetic predicated COPD on brain cortical structure, namely cortical surface area (SA) and cortical thickness (TH).

Performance of various pneumonia severity models for predicting adverse outcomes in elderly inpatients with community-acquired pneumonia.

Objective: We aimed to assess the performance of common pneumonia severity scores, such as pneumonia severity index (PSI), CURB-65, CRB-65, A-DROP, and SMART-COP, in predicting adverse outcomes in elderly community-acquired pneumonia cohort and to determine the optimal scoring system for specific outcomes of interest.

Methods: A total of 822 elderly inpatients were included in the retrospective cohort study. Clinical and laboratory results on admission were used to calculate the above scores.

Comparing outcomes of right verse left hepatic approach percutaneous biliary drainage catheters.

Purpose: Determine if there is a difference in adverse events (AE) between right or left hepatic percutaneous biliary drain placement (PTBD) in patients with biliary strictures.

Materials & Methods: This retrospective study included patients with benign or malignant biliary stricture treated with PTBD at a single institution from 7/28/2004-3/30/2021. 357 patients met inclusion criteria, 77 (21.

Development of binderless fiberboard from poplar wood residue with Trametes hirsuta.

The utilization of agricultural and forestry residues for the development and preparation of green binderless fiberboard (BF) is an effective way to realize high-value utilization of lignocellulose biomass resources. This study focuses on the fabrication of BF with excellent mechanical and waterproof properties, utilizing poplar wood residue (PWR) as raw material and Trametes hirsuta as a pretreatment method. During the fermentation process, lignin-degrading enzymes and biological factors, such as sugars, were produced by T.

Defect by design: Harnessing the "petal effect" for advanced hydrophobic surface applications.

Hypothesis: In the interfacial wetting boundary, the superhydrophobic surface is often damaged, and the anisotropic wettability of its surface has attracted many researchers' attention. The "petal effect" surface has typical anisotropic wettability. We predict that under the dual conditions of structural defects and high impact velocity, the "petal effect" becomes more adhesive on the surface.

Re-expansion Pulmonary Edema (REPE) Following Thoracentesis: Is Large-Volume Thoracentesis Associated with Increased Incidence of REPE?

Purpose: To determine the safety and efficacy associated with drainage volumes greater than 1,500 mL in a single, unilateral thoracentesis without pleural manometry measurements.

Materials And Methods: This retrospective, single-institution study included 872 patients (18 years and older) who underwent ultrasound-guided thoracentesis. Patient and procedures data were collected including demographics, number of and laterality of thoracenteses, volume and consistency of fluid removed, and whether clinical or radiologic evidence of re-expansion pulmonary edema (REPE) developed within 24 h of thoracentesis.

Association between preoperative anxiety states and postoperative complications in patients with esophageal cancer and COPD: a retrospective cohort study.

Background: Esophageal cancer brings emotional changes, especially anxiety to patients. Co-existing anxiety makes the surgery difficult and may cause complications. This study aims to evaluate effects of anxiety in postoperative complications of esophageal cancer patients with chronic obstructive pulmonary disease (COPD).

BDTX-189, a novel tyrosine kinase inhibitor, inhibits cell activity via ERK and AKT pathways in the EGFR C797S triple mutant cells.

The tertiary mutation C797S in the structural domain of the EGFR kinase is a common cause of resistance to third-generation EGFR tyrosine kinase inhibitors (TKIs). In this study, we used a potent, selective and irreversible inhibitor, BDTX-189, to target EGFR C797S triple mutant cells for cell activity. The study constructed the H1975-C797S (EGFR L858R/T790 M/C797S) cell line using the CRISPR/Cas9 method and investigated its potential as a fourth-generation tyrosine kinase inhibitor via chemosensitivity approach.

Differential associations of fine and coarse particulate air pollution with cause-specific pneumonia mortality: A nationwide, individual-level, case-crossover study.

Background: The connections between fine particulate matter (PM) and coarse particulate matter (PM) and daily mortality of viral pneumonia and bacterial pneumonia were unclear.

Objectives: To distinguish the connections between PM and PM and daily mortality due to viral pneumonia and bacterial pneumonia.

Methods: Using a comprehensive national death registry encompassing all areas of mainland China, we conducted a case-crossover investigation from 2013 to 2019 at an individual level.

PerSEveML: a web-based tool to identify persistent biomarker structure for rare events using an integrative machine learning approach.

Omics data sets often pose a computational challenge due to their high dimensionality, large size, and non-linear structures. Analyzing these data sets becomes especially daunting in the presence of rare events. Machine learning (ML) methods have gained traction for analyzing rare events, yet there has been limited exploration of bioinformatics tools that integrate ML techniques to comprehend the underlying biology.