Parallel Chart Writing and Resilience Impact the Narrative Competence of Medical Staff in China: A Cross-Sectional Study.

Background And Aims: Narrative competence is essential for good communication between medical staff and patients. It is a powerful instrument for the delivery of holistic healthcare. However, little research focuses on the influencing factors of narrative competence and the relationships among resilience, self-efficacy, and narrative competence.

Quantitative immunohistochemistry analysis of breast Ki67 based on artificial intelligence.

Breast cancer is a common malignant tumor of women. Ki67 is an important biomarker of cell proliferation. With the quantitative analysis, it is an important indicator of malignancy for breast cancer diagnosis.

Effects of PM exposure and air temperature on risk of cardiovascular disease: evidence from a prospective cohort study.

Background And Aims: Evidence from extensive cohort studies about the individual and combined associations of air pollution and air temperature with cardiovascular disease (CVD) morbidity is limited. This study aimed to examine the long-term effects of PM exposure and air temperature on CVD based on a cohort study of middle-aged and older populations in China.

Methods: A total of 9,316 non-CVD adults (≥40 years old) who joined the China Health and Retirement Longitudinal Study between 2011 and 2018 were included in our analysis.

DEPDC1B, CDCA2, APOBEC3B, and TYMS are potential hub genes and therapeutic targets for diagnosing dialysis patients with heart failure.

Introduction: Heart failure (HF) has a very high prevalence in patients with maintenance hemodialysis (MHD). However, there is still a lack of effective and reliable HF diagnostic markers and therapeutic targets for patients with MHD.

Methods: In this study, we analyzed transcriptome profiles of 30 patients with MHD by high-throughput sequencing.

Multi-omics analysis reveals novel causal pathways in psoriasis pathogenesis.

Background: To elucidate the genetic and molecular mechanisms underlying psoriasis by employing an integrative multi-omics approach, using summary-data-based Mendelian randomization (SMR) to infer causal relationships among DNA methylation, gene expression, and protein levels in relation to psoriasis risk.

Methods: We conducted SMR analyses integrating genome-wide association study (GWAS) summary statistics with methylation quantitative trait loci (mQTL), expression quantitative trait loci (eQTL), and protein quantitative trait loci (pQTL) data. Publicly available datasets were utilized, including psoriasis GWAS data from the European Molecular Biology Laboratory-European Bioinformatics Institute and the UK Biobank.