Anxiety and burnout in infectious disease nurses: the role of perceived stress and resilience.

Background: Nurses serving in infectious disease ward represent a distinct occupational group that has attracted considerable attention following epidemic outbreaks. However, prior to this study, no research had delved into the underlying mechanism linking anxiety to burnout symptoms among infectious disease nurses. This study aimed to explore investigate the association between anxiety and burnout among nurses working in such environments and scrutinized the mediating role of perceived stress and the moderating influence of resilience on the principal relationship.

Preoperative prediction of the selection of the NOTES approach for patients with symptomatic simple renal cysts via an interpretable machine learning model: a retrospective study of 264 patients.

Background: There are multiple surgical approaches for treating symptomatic simple renal cysts (SSRCs). The natural orifice transluminal endoscopic surgery (NOTES) approach has gradually been applied as an emerging minimally invasive approach for the treatment of SSRCs. However, there are no clear indicators for selecting the NOTES approach for patients with SSRCs.

Correlation between polygenic risk scores of depression and cortical morphology networks.

Background: Cortical morphometry is an intermediate phenotype that is closely related to the genetics and onset of major depressive disorder (MDD), and cortical morphometric networks are considered more relevant to disease mechanisms than brain regions. We sought to investigate changes in cortical morphometric networks in MDD and their relationship with genetic risk in healthy controls.

Methods: We recruited healthy controls and patients with MDD of Han Chinese descent.

Nanoparticle-mediated light-driven LAMP combined with test strips for sensitive and rapid visual detection of antibiotic resistance genes.

Antibiotic resistance genes (ARGs) are markers of drug-resistant pathogens, monitoring them contributes to prevent resistance to drugs. The detection methods for ARGs including PCR and isothermal amplification are sensitive and selective. However, it may take several hours or cannot be used on spot.

Assessing the risk of TB progression: Advances in blood-based biomarker research.

This review addresses the significant advancements in the identification of blood-based prognostic biomarkers for tuberculosis (TB), highlighting the importance of early detection to prevent disease progression. The manuscript discusses various biomarker categories, including transcriptomic, proteomic, metabolomic, immune cell-based, cytokine-based, and antibody response-based markers, emphasizing their potential in predicting TB incidence. Despite promising results, practical application is hindered by high costs, technical complexities, and the need for extensive validation across diverse populations.