Effect of Music Intervention on Improving the Early Prognosis of the Preterm Infant in Chongqing, China: A Randomized Controlled Trial.

Objectives: To investigate the effects of music intervention on the vital signs, weight gain, feeding, hospital stays, and cost of premature infants.

Methods: 100 premature infants were randomized into two groups: the experimental group (given music for 30 min at a time, once every day until discharge) and the control group (without music). To compare the vital signs (RR, HR, SPO) before, during, and after the music intervention, as well as the weight gain and feeding, follow up to 3 months after discharge.

Integrating network pharmacology to investigate the mechanism of quercetin's action through AKT inhibition in co-expressed genes associated with polycystic ovary syndrome and endometrial cancer.

Endometrial cancer (EC) is a common gynecological malignancy for which polycystic ovarian syndrome (PCOS) has been identified as a significant risk factor. Quercetin, a widely distributed natural flavonoid, has demonstrated potential therapeutic effects in managing both PCOS and EC. However, the specific molecular targets of quercetin in the context of PCOS comorbid with EC (PCOS-EC) remain poorly defined.

Prevalence of metal implants among US adults aged 40 years and older.

Metal implants are commonly used in clinical practice. However, little is known regarding the prevalence of metal implants. Therefore, this study aimed to evaluate the prevalence of metal implants in the United States (US) among individuals aged ≥ 40 years.

Molecular epidemiological analysis of Influenza viruses in Influenza-like illness cases: a retrospective study in Chongqing Hi-Tech Zone, China (2021-2024).

Objectives: To analyze the molecular epidemiological characteristics of influenza viruses in influenza-like cases in Chongqing Hi-Tech Zone, China, to provide data support and a scientific basis for optimizing influenza prevention and control strategies in the region.

Materials And Methods: A retrospective analysis was conducted on the molecular epidemiological characteristics of influenza viruses in influenza-like cases at a hospital in Chongqing Hi-Tech Zone from 2021 to 2024. Colloidal gold detection of viral antibodies, fluorescent PCR detection of nucleic acids, and gene sequencing were used to identify the different subtypes.

Association of platelet-to-lymphocyte ratio with 1-year all-cause mortality in ICU patients with heart failure.

The Platelet-to-Lymphocyte Ratio (PLR) has emerged as a cost-effective biomarker for systemic inflammation and adverse cardiovascular outcomes, yet its prognostic value in critically ill patients with heart failure (HF) remains unclear. Leveraging the MIMIC-IV database, this study investigates the association between PLR and 1-year all-cause mortality in 7,217 ICU patients with HF. Patients were stratified into tertiles (0-126.

The specific medications for pulmonary arterial hypertension at functional class III to IV: a systematic review and meta-analysis.

Purpose: To systematically evaluate the clinical efficacy and safety of targeted drugs in patients with pulmonary arterial hypertension (PAH) with cardiac function grades III-IV, and conduct a meta-analysis.

Methods: Two researchers independently searched the PubMed, EMBASE, and Cochrane Library databases for relevant studies, with the search period extending from the establishment of the databases to March 2024. Meta-analysis was performed using statistical software Review Manager 5.

Association between life's simple 7 (LS7) and arthritis: the mediating role of body fat percentage (BFP).

Background: Life's Simple 7 (LS7), developed by the American Heart Association, addresses seven key health behaviors and relationship factors. Although LS7 has been studied in relation to various chronic diseases, its association with arthritis remains unclear. This study seeks to investigate the association between LS7 and arthritis, with particular emphasis on the mediating role of body fat percentage (BFP).

Multidimensional stress and self-harm in Chinese preadolescents: A cross-sectional study.

Background: Limited research has been conducted on self-harm among preadolescents in China. This study investigated the influence of multidimensional stress on high levels of self-harm behavior in preadolescents.

Method: This large-scale cross-sectional study of 7-14-year-old primary school students in grades 3-6 was conducted in Southwest China between September and December 2020.

Association of the neutrophil-to-platelet ratio with response to electroconvulsive therapy in adolescents with major depressive disorder.

Background: Major depressive disorder (MDD) is one of the most serious mental disorders affecting adolescents worldwide. Electroconvulsive therapy (ECT) is widely acknowledged as a first-line treatment for severe depression, but the clinical response varies. Neutrophils and platelets are both related to the progression of MDD.

The Effects of Dexamethasone on Human Lens Epithelial Cells and the Analysis of Related Pathways with Transcriptome Sequencing.

Background: The goal of this study was to investigate the effects of dexamethasone on human lens epithelial cells (HLECs) and the potential mechanisms.

Methods: HLECs (HLE-B3) were cultured to assess the effects of dexamethasone on cell size at different concentrations. Immunofluorescence staining was used to detect specific protein expression in HLE-B3 cells.

Does H3K27me3 expression play a role in patients with Blastic plasmacytoid dendritic cell neoplasm? A clinicopathologic analysis of 14 patients.

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and aggressive lymphohematopoietic malignancy associated with poor prognosis. We aimed to improve the understanding of BPDCN, explore its prognostic significance, and identify potential therapeutic targets. Data from 14 BPDCN patients were retrospectively collected and analyzed, focusing on their clinicopathological characteristics, diagnostic features, immunophenotype, treatment regimens, and prognostic factors.

Perioperative care of a patient with immune thrombocytopenia purpura undergoing tubo-ovarian abscess incision and drainage: Case report.

Key Clinical Massage: Tubo-ovarian abscess (TOA) is a serious health hazard for women, causing severe sepsis. Antimicrobial treatment is effective, but one-third of patients experience unfavorable outcomes. ITP, an autoimmune condition, can lead to bruising and bleeding.

Optical sensor for fast and accurate lung cancer detection with tissue autofluorescence and diffuse reflectance spectroscopy.

Background: Cancer is a severe threat to human health, and surgery is a major method of cancer treatment. This study aimed to develop an optical sensor for fast cancer tissue.

Methods: The tissue autofluorescence spectrum and diffuse reflectance spectrum were obtained by using a laboratory-developed optical sensor system.

Machine learning for predicting in-hospital mortality in elderly patients with heart failure combined with hypertension: a multicenter retrospective study.

Background: Heart failure combined with hypertension is a major contributor for elderly patients (≥ 65 years) to in-hospital mortality. However, there are very few models to predict in-hospital mortality in such elderly patients. We aimed to develop and test an individualized machine learning model to assess risk factors and predict in-hospital mortality in in these patients.

BCL11A expression worsens the prognosis of DLBCL and its co-expression with C-MYC predicts poor survival.

Non-Hodgkin's lymphoma (NHL) is a significant global malignancy, with diffuse large B cell lymphoma (DLBCL) being the most prevalent subtype, accounting for 25-50 % of newly diagnosed cases in China. Despite a 60 % survival rate achieved with R-CHOP regiment for DLBCL, approximately 40 % of patients experience relapse or develop resistance to treatment. While the oncogenic transcription factor B-cell chronic lymphocytic leukaemia/lymphoma 11 A (BCL11A) has been implicated in various tumors, its specific role in DLBCL remains unclear.

Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma.

Background: Regulatory T cells (Tregs) play a critical role in shaping the immunosuppressive microenvironment within tumors. Investigating the role of Tregs in Clear cell renal cell carcinoma (ccRCC) is crucial for identifying prognostic markers and therapeutic targets for ccRCC.

Methods: Weighted gene co-expression network analysis (WGCNA) was utilized to pinpoint modules related to Treg infiltration in TCGA-KIRC samples.

Effects of electroconvulsive therapy on inflammatory markers and depressive symptoms in adolescents with major depressive disorder.

Objective: Limited research exists on the use of electroconvulsive therapy (ECT) for adolescents with major depressive disorder (MDD). This study investigates the effects of ECT on inflammatory markers in adolescents aged 13-18 suffering from severe MDD, evaluating its efficacy in modulating cellular inflammatory markers and ameliorating depressive symptoms.

Methods: A cohort of 38 adolescents with severe MDD received standard antidepressant therapy along with 6-8 ECT sessions spanning two weeks.

Binding-driven forward tearing protospacer activated CRISPR-Cas12a system and applications for microRNA detection.

CRISPR-Cas12a system, characterized by its precise sequence recognition and cleavage activity, has emerged as a powerful and programmable tool for molecular diagnostics. However, current CRISPR-Cas12a-based nucleic acid detection methods, particularly microRNA (miRNA) detection, necessitate additional bio-engineering strategies to exert control over Cas12a activity. Herein, we propose an engineered target-responsive hairpin DNA activator (TRHDA) to mediate forward tearing protospacer activated CRISPR-Cas12a system, which enables direct miRNA detection with high specificity and sensitivity.

Development and external validation of an interpretable machine learning model for the prediction of intubation in the intensive care unit.

Given the limited capacity to accurately determine the necessity for intubation in intensive care unit settings, this study aimed to develop and externally validate an interpretable machine learning model capable of predicting the need for intubation among ICU patients. Seven widely used machine learning (ML) algorithms were employed to construct the prediction models. Adult patients from the Medical Information Mart for Intensive Care IV database who stayed in the ICU for longer than 24 h were included in the development and internal validation.