Selenium as an Antioxidant: Roles and Clinical Applications in Critically Ill and Trauma Patients: A Narrative Review.

Selenium plays an indispensable role in antioxidant defense through its incorporation into selenoproteins, including glutathione peroxidase (GPx) and thioredoxin reductase. In the context of trauma and critical illness, systemic inflammation and oxidative stress frequently deplete selenium reserves, compromising the body's antioxidant defenses. This deficiency exacerbates immune dysfunction, elevates the risk of multi-organ dysfunction syndrome, and increases susceptibility to infections and mortality.

Challenges in Saving Trauma Patients in Seoul Based on the 2016-2020 Community-Based Severe Trauma Survey.

: The preventable trauma death rate (PTDR) reflects the quality of trauma management systems. In the Republic of Korea, the PTDR in Seoul, the capital city, decreased from 30.8% in 2015 to 20.

Comparison of Early Enteral Nutrition Versus Early Parenteral Nutrition in Critically Ill Patients: A Systematic Review and Meta-Analysis.

Background: Nutritional support is crucial in critically ill patients to enhance recovery, reduce infections, and improve outcomes. This meta-analysis compared early enteral nutrition (EEN) and early parenteral nutrition (EPN) to evaluate their efficacy in adult critically ill patients.

Methods: A systematic review of 14 studies involving 7618 patients was conducted, including randomized controlled trials, prospective cohorts, and retrospective analyses.

Utility of arterial to end-tidal carbon dioxide gradient as a severity index in critical care.

Background: The arterial to end-tidal carbon dioxide gradient (P [a-Et] CO) reveals the ventilation-perfusion (V/Q) status of critically ill patients. V/Q mismatch has several causes and affects the clinical outcomes of critically ill patients. We investigated the relationship between P (a-Et) CO and the clinical outcomes in critically ill patients.

Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.

Background: This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the intensive care unit (ICU) using an advanced artificial intelligence (AI) model for mortality prediction.

Methods: Data from ICU patients (December 2016 to December 2021), including serum levels of trace elements, vitamins, cholesterol, and prealbumin, were retrospectively analyzed using AI models. Models employed included category boosting (CatBoost), extreme gradient boosting (XGBoost), light gradient boosting machine (LGBM), and multilayer perceptron (MLP).

Effect of Foot Position on Ankle Muscle Activity During Wobble Board Training in Individuals With Chronic Ankle Instability.

Objective: The purpose of this study was to compare the effects of foot positioning on muscle activities of the peroneus longus (PL), medial gastrocnemius (MG), and tibialis anterior (TA)/PL ratio in individuals with chronic ankle instabilities (CAI) during wobble board training.

Methods: Thirty individuals with CAI were included, and statistical significance of PL and MG muscle activities was determined using 1-way repeated measures analysis of variance alongside TA/PL activity ratio at the university research laboratory. The participants performed the wobble board training in 3 different foot positions: medial from the centerline of the wobble board (WBT-M), middle from the centerline of the wobble board, and lateral from the centerline of the wobble board (WBT-L).

No Additional Effects of Sequential Facilitatory Cerebral and Cerebellar rTMS in Subacute Stroke Patients.

The aim of this study was to investigate the additional effects of cerebellar rTMS on the motor recovery of facilitatory rTMS over affected primary motor cortex (M1) in subacute stroke patients. Twenty-eight subacute stroke patients were recruited in this single-blind, randomized, controlled trial. The Cr-Cbll group received Cr-Cbll rTMS stimulation consisting of high-frequency rTMS over affected M1 (10 min), motor training (10 min), and high-frequency rTMS over contralesional Cbll (10 min).

What is the role of artificial intelligence in general surgery?

The capabilities of artificial intelligence (AI) have recently surged, largely due to advancements in deep learning inspired by the structure and function of the neural networks of the human brain. In the medical field, the impact of AI spans from diagnostics and treatment recommendations to patient engagement and monitoring, considerably improving efficiency and outcomes. The clinical integration of AI has also been examined in specialties, including pathology, radiology, and oncology.

Development of blood demand prediction model using artificial intelligence based on national public big data.

Objective: Modern healthcare systems face challenges related to the stable and sufficient blood supply of blood due to shortages. This study aimed to predict the monthly blood transfusion requirements in medical institutions using an artificial intelligence model based on national open big data related to transfusion.

Methods: Data regarding blood types and components in Korea from January 2010 to December 2021 were obtained from the Health Insurance Review and Assessment Service and Statistics Korea.

A scoping review of the different types of exercise programs proposed for the improvement of postural balance in adolescents with idiopathic scoliosis.

Background: Adolescent idiopathic scoliosis (AIS), which is the most common type of scoliosis, is a progressive disease that occurs in children aged 10-16 years. Abnormal curvature in AIS provokes spinal asymmetry of the upper body alignment and might deteriorate postural balancing and control ability.

Objective: To evaluate the effect of exercise interventions on balance and postural stability in patients with adolescent idiopathic scoliosis.

Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19.

Background: Non-Coronavirus disease 2019 (COVID-19) pneumonia and COVID-19 have similar clinical features but last for different periods, and consequently, require different treatment protocols. Therefore, they must be differentially diagnosed. This study uses artificial intelligence (AI) to classify the two forms of pneumonia using mainly laboratory test data.

Excellence of the closed intensive care unit system in critically ill surgical patients.

Background: Despite reports that the closed intensive care unit (ICU) system improves clinical outcomes, it has not been widely applied for various reasons. This study aimed to propose a better ICU system for critically ill patients by comparing the experience of open surgical ICU (OSICU) and closed surgical ICU (CSICU) systems in the same institution.

Methods And Findings: Our institution converted the ICU system from "open" to "closed" in February 2020, and enrolled patients were classified into the OSICU and CSICU groups at that time from March 2019 to February 2022.

Validation of presepsin measurement for mortality prediction of sepsis: a preliminary study.

Background: Sepsis and septic shock remain the leading causes of death in critically ill patients worldwide. Various biomarkers are available to determine the prognosis and therapeutic effects of sepsis. In this study, we investigated the effectiveness of presepsin as a sepsis biomarker.

Optimal duration of the apnea test for determining brain death: Benefit of the short-term apnea test.

Background: The criteria for brain death determination have not been unified globally, and there is no global consensus on the apnea test, which is essential for determining brain death. Since the apnea test is associated with many complications, we aimed to determine an optimal duration of the apnea test.

Methods: We analyzed the results of the apnea test performed for brain death determination between August 2013 and February 2021 at a single institution in South Korea.

The Future Direction of the Organ Donation System After Legislation of the Life-Sustaining Treatment Decision Act.

BACKGROUND The transplant community is seeking ways to encourage organ donation after cardiac arrest to solve the problem of the insufficiency of organs available for the increasing number of people awaiting transplantation. This study aimed to determine whether the life-sustaining treatment (LST) decision system, implemented in Korea on February 4, 2018, can address the shortage of organ donations. MATERIAL AND METHODS We retrospectively analyzed the medical records of the 442 patients who had filled out forms for the LST decision at Ewha Womans University Mokdong Hospital from April 2018 to December 2019, and classified the eligibility of organ and tissue donation according to the Korean Organ Donation Agency criteria.