Affective dysregulation and sex differences in somatic symptom disorder: A 6-month longitudinal and mediation analysis.

Objectives: Somatic symptom disorder (SSD) is characterized by persistent physical symptoms and excessive emotional responses, but the influence of emotional factors such as anger and alexithymia on symptom severity and course remains unclear. This study examined whether baseline levels and six-month changes in emotional factors are associated with somatic symptom severity and course in SSD, considering sex.

Methods: Eighty-three SSD patients and 80 age- and sex-matched healthy controls completed self-report measures of emotional and somatic symptoms at baseline and six-month follow-up.

Comparative analysis of emotional factors in patients with somatic symptom disorder and panic disorder.

Objective: This study investigated the emotional symptom profiles and treatment responses in patients exhibiting overlapping physical symptoms to compare differences between Somatic Symptom Disorder (SSD) and Panic Disorder (PD).

Methods: Pharmacotherapy outcomes were analysed in 208 outpatients with SSD ( = 94) and PD ( = 114). Stepwise multivariable logistic regression identified predictors of treatment response, considering variables such as the Clinical Global Impression-Severity (CGI-S), Beck Depression Inventory-II (BDI-II), State-Trait Anxiety Inventory, and State-Trait Anger Expression Inventory.

Application of machine learning for delirium prediction and analysis of associated factors in hospitalized COVID-19 patients: A comparative study using the Korean Multidisciplinary cohort for delirium prevention (KoMCoDe).

Background: The incidence of delirium in hospitalized coronavirus disease 2019 (COVID-19) patients is linked to adverse health outcomes. Predicting the occurrence and risk factors of delirium is key to preventing its sudden onset.

Aims: To explore the factors associated with delirium in hospitalized COVID-19 patients and to compare the performance of various machine learning (ML) techniques for future use in predicting delirium.

Associations Between COVID-19, Delirium, and 1-Year Mortality: Exploring Influences on Delirium Incidence in COVID-19 Patients.

Background: This study investigated the relationship between coronavirus disease 2019 (COVID-19), delirium, and 1-year mortality. Factors associated with delirium in COVID-19 patients were identified, along with the influence of psychotropic medications on delirium.

Methods: The study used the South Korean National Health Insurance Service database.

Affective dysfunction mediates the link between neuroimmune markers and the default mode network functional connectivity, and the somatic symptoms in somatic symptom disorder.

Objective: Somatic symptom disorder (SSD) is characterized by physical symptoms and associated functional impairments that are often comorbid with depression and anxiety disorders. In this study, we explored relationships between affective symptoms and the functional connectivity of the default mode network (DMN) in SSD patients, as well as the impact of peripheral inflammation. We employed mediation analyses to investigate the potential pathways between these factors.

Psychosocial Factors Associated with dizziness and chronic dizziness: a nationwide cross-sectional study.

Background: Dizziness is a common symptom in adults, and chronic dizziness, such as persistent postural-perceptual dizziness, is also frequently reported and affects the quality of life of patients. This study aimed to identify psychosocial factors related to dizziness and chronic dizziness in a large-scale nationwide cohort.

Methods: This population-based cross-sectional study used the database of the Eighth Korea National Health and Nutrition Examination Survey in 2020.

Comprehensive analysis of microbial dynamics linked with the reduction of odorous compounds in a full-scale swine manure pit recharge system with recirculation of aerobically treated liquid fertilizer.

It is believed that the generation of odorous materials in manure-slurry pits during the storage can be reduced by recirculating aerobically treated liquid fertilizer (ATLF) to a manure-pit recharge system (PRS). However, the biological mechanisms for reduction of those problematic compounds remain poorly understood. In this study, the links between microbial evolution and changes in chemical composition and odorous compounds were analyzed where swine-manure slurry was stored in a full-scale PRS.

Validation of FRIEND and ACSM Equations for Cardiorespiratory Fitness: Comparison to Direct Measurement in CAD Patients.

The regression equation of the American College of Sports Medicine (ACSM) was a preferred method for estimating maximal oxygen consumption (VO2max). Recently, a more precise equation from the fitness registry and the importance of exercise national database (FRIEND) for healthy people was developed. This study compared VO2max estimated by the ACSM and FRIEND equations to VO2max directly measured in coronary artery disease (CAD) patients.

Catalytic pyrolysis of swine manure using CO and steel slag.

Pyrolysis of swine manure (SM) was conducted as a case study to establish an environmentally sound management of livestock manure. To build a more renewable pyrolysis platform for SM, this study selected carbon dioxide (CO) as the reaction medium. In addition, CO was used in pyrolysis of SM to restrict the formation of toxic compounds, such as benzene derivatives and polycyclic aromatic hydrocarbons (PAHs).

Poly-cyclodextrin and poly-paclitaxel nano-assembly for anticancer therapy.

Effective anticancer therapy can be achieved by designing a targeted drug-delivery system with high stability during circulation and efficient uptake by the target tumour cancer cells. We report here a novel nano-assembled drug-delivery system, formed by multivalent host-guest interactions between a polymer-cyclodextrin conjugate and a polymer-paclitaxel conjugate. The multivalent inclusion complexes confer high stability to the nano-assembly, which efficiently delivers paclitaxel into the targeted cancer cells via both passive and active targeting mechanisms.