Xuan Wu Hospital of the Capital Medical University

External validation and comparative performance of four risk scores for acute kidney injury in critically ill adults

Background Several parsimonious scores predict acute kidney injury (AKI), but their comparative performance in critically ill adults is uncertain. We hypothesized that the ICU-derived UCSD-Mayo score would show higher discrimination than three scores developed in broader acute-ca...

Chemical Stabilization and Retention-Predictive Modeling for Regiospecific Profiling of Labile Monoacylglycerols by UHPLC–HRMS

Abstract Regiospecific analysis of monoacylglycerols (MAGs) remains challenging because of their low endogenous abundance, the limited availability of regioisomeric standards, and rapid acyl migration between the sn-1 and sn-2 positions during sample handling. Here, we report an...

High-intensity transcranial alternating current stimulation improves sleep quality in patients with mild Alzheimer's disease: Findings from the TRANSFORM-AD study

Background High-intensity transcranial alternating current stimulation (Hi-tACS) has shown beneficial effects on cognitive function in Alzheimer's disease (AD). However, data on the effects of hi-tACS on sleep quality and emotional state in patients with AD are still limited. Obj...

Screening patterns for cognitive dysfunction and influencing factors analysis for referral and training rate: Experience from a health management center

Background Implementing cognition health screening, risk assessment, and early intervention for cognitive impairment-related diseases among appropriate demographics holds significant importance in China. Objective This study aims to present a cognition health management model and...

Bisphenol F induces intestinal epithelial injury through hsa_circ_0003655-mediated dual-axis disruption of cytoplasmic and organellar calcium homeostasis

As a primary substitute for bisphenol A (BPA), the potential threats of environmental exposure to bisphenol F (BPF) on intestinal health have raised significant concerns. However, the underlying regulatory mechanisms involving circular RNA (circRNA) remain unclear. Utilizing whol...

Development of an explainable machine learning model for predicting six-month consciousness recovery in patients with prolonged disorders of consciousness

With advances in emergency care systems, the number of patients with prolonged disorders of consciousness (pDoC) has markedly increased. To optimize the allocation of healthcare resources and mitigate risks, the early and accurate identification of recovery potential in pDoC is e...

Identification of acetylation-related gene biomarkers for gallbladder carcinoma via multi-dataset and machine learning, with insights into immune microenvironment modulation

<title>Abstract</title> Gallbladder cancer (GBC) is a malignant digestive system tumor, and patients are often only diagnosed at an advanced stage, resulting in high mortality and poor prognosis. Insufficiently specific and sensitive biomarkers impede early screening and diagnosi...