Evaluating the effectiveness of a clinical decision support system (AI-Antidelirium) to improve Nurses' adherence to delirium guidelines in the intensive care unit.

Objectives: To evaluate the impact of Artificial Intelligence Assisted Prevention and Management for Delirium (AI-AntiDelirium) on improving adherence to delirium guidelines among nurses in the intensive care unit (ICU).

Research Methodology/design: Between November 2022 and June 2023, A cluster randomized controlled trial was undertaken.

Setting: A total of 38 nurses were enrolled in the interventional arm, whereas 42 nurses were recruited for the control arm in six ICUs across two hospitals in Beijing, comparing nurses' adherence and cognitive load in units that use AI-AntiDelirium or the control group.

Bile acids in follicular fluid: potential new therapeutic targets and predictive markers for women with diminished ovarian reserve.

Objective: To investigate the changes in bile acid (BA) metabolites within the follicular fluid (FF) of patients with diminished ovarian reserve (DOR) and to identify novel diagnostic markers that could facilitate early detection and intervention in DOR patients.

Design: A total of 182 patients undergoing assisted reproductive technology (ART) were enrolled and categorized into the normal ovarian reserve (NOR) group (n = 91) or the DOR group (n = 91) to measure BA levels in FF. To identify the changes in granulosa cells (GCs), we collected GCs from an additional 7 groups of patients for transcriptome sequencing.

Bacterial and host fucosylation maintain IgA homeostasis to limit intestinal inflammation in mice.

Inflammatory bowel disease is associated with several genetic risk loci. Loss-of-function mutation in the α1,2-fucosyltransferase (fut2) gene, which alters fucosylation on the surface of intestinal epithelial cells, is one example. However, whether bacterial fucosylation can contribute to gut inflammation is unclear.

A controlled study: Evaluating the clinical impact of a nurse-centred multidisciplinary hospice care model on anxiety, depression, and quality of life in patients with advanced malignant tumours.

Objective: To explore the clinical effect of a nurse-centred multidisciplinary collaborative hospice care model in patients with advanced malignant tumours.

Methods: A total of 30 patients with advanced malignant tumours were hospitalised and randomly divided into a study group and a control group, each consisting of 15 cases. The study group received nurse-led multidisciplinary collaborative hospice care, whereas the control group underwent high-quality nursing intervention.

Evaluation of confocal laser scanning microscopy in histological classification and photodynamic therapy of low-risk basal cell carcinoma.

Background: Confocal laser scanning microscopy (CLSM) is a noninvasive technique utilized for identification and analysis of skin malignancies. Several studies have applied CLSM in monitoring the treatment of basal cell carcinoma (BCC).

Objectives: To investigate the diagnostic value of CLSM in low-risk BCC and the evaluation of photodynamic therapy (PDT).

Associations between postoperative cognitive dysfunction, serum interleukin-6 and postoperative delirium among patients after coronary artery bypass grafting: A mediation analysis.

Background: POCD is a common complication among patients who underwent coronary artery bypass graft (CABG), it is linked to loss of independence and reduced quality of life.

Aim: To examine the association between postoperative cognitive dysfunction (POCD), postoperative delirium (POD) and interleukin-6 (IL-6).

Design: A prospective cohort study.

A cluster-randomized controlled trial of a nurse-led artificial intelligence assisted prevention and management for delirium (AI-AntiDelirium) on delirium in intensive care unit: Study protocol.

Background: Delirium is a common complication among intensive care unit (ICU) patients that is linked to negative clinical outcomes. However, adherence to the Clinical Practice Guidelines for the Prevention and Management of Pain, Agitation/Sedation, Delirium, Immobility, and Sleep Disruption in Adult Patients in the ICU (PADIS guidelines), which recommend the use of the ABCDEF bundle, is sub-optimal in routine clinical care. To address this issue, AI-AntiDelirium, a nurse-led artificial intelligence-assisted prevention and management tool for delirium, was developed by our research team.

An Ex Vivo Aorta Culture Model to Study Vascular Cellular Senescence.

Animal studies on vascular aging pose a few limitations. One of the most important reasons for this is the absence of a fast and efficient model of vascular tissue aging. In this study, ex vivo aortic culture and Matrigel subcutaneous implantation are combined to develop a new model for studying vascular cellular senescence.

Impact of Clinical Decision Support System Assisted prevention and management for Delirium on guideline adherence and cognitive load among Intensive Care Unit nurses (CDSSD-ICU): Protocol of a multicentre, cluster randomized trial.

Background: Adherence to the delirium bundle intervention is sub-optimal in routine practice, and inappropriate use of the instructional design of interventions may result in higher cognitive load among nurses. It remains unclear whether the Clinical Decision Support System (CDSS) Assisted Prevention and Management for Delirium (CDSS-AntiDelirium) results in the improvement of adherence to delirium intervention and the reduction of extraneous cognitive load, as well as improving adherence to delirium intervention, among nurses in the intensive care unit (ICU).

Methods: This study (named the CDSSD-ICU) is a multicentre, prospective, cluster randomized controlled clinical trial.

Impact of delirium intervention on cognitive load among nurses in the intensive care unit: A multi-centre cluster randomized controlled trial.

Background: High cognitive load in nurses is a common problem in the intensive care unit (ICU). However, it remains unclear what different types of cognitive load the ICU nurses have experienced during the implementation of delirium interventions.

Aim: To describe the characteristics and explore the effect of implementing a delirium intervention on the cognitive load of nurses working in the ICU.

A comprehensive study of oxidative stress-related effects on the prognosis and drug therapy of cervical cancer.

Background: Cervical cancer (CC) is a serious global disease with poor prognoses and a significant recurrence rate in patients with advanced disease. Oxidative stress (OS) greatly influences many types of human cancers, making it crucial to understand the functional mechanisms of OS-related genes in CC.

Methods: The transcriptome and clinical data of three normal samples and 306 patients with CC were obtained from The Cancer Genome Atlas dataset.

Autotoxicity of Endogenous Organic Acid Stress in Two Cultivars.

Ganoderma lucidum has been used as a rare medical mushroom for centuries in China, due to its health-promoting properties. Successive cropping obstacles are common in the cultivation of G. lucidum, although the remaining nutrients in the germ substrate are sufficient for a second fruiting.

Entanglement, Coherence, and Extractable Work in Quantum Batteries.

We investigate the connection between quantum resources and extractable work in quantum batteries. We demonstrate that quantum coherence in the battery or the battery-charger entanglement is a necessary resource for generating nonzero extractable work during the charging process. At the end of the charging process, we also establish a tight link of coherence and entanglement with the final extractable work: coherence naturally promotes the coherent work while coherence and entanglement inhibit the incoherent work.

Novel DNA Damage-Related Subtypes Characterization Identifies Uterine Corpus Endometrial Carcinoma (UCEC) Based on Machine Learning.

Objective: Accumulating evidence suggests that DNA damage is associated with numerous gynecological illnesses, particularly advanced uterine corpus endometrial carcinoma (UCEC), illustrating the involvement of the DNA damage pathway in the advancement of UCEC. This research aimed to discover a robust subtype with the potential to contribute to the scientific treatment of UCEC.

Methods: In this work, the expression patterns of prognostic DNA damage-related genes were curated, and consensus clustering analyses were undertaken to determine DNA damage subtypes in patients with UCEC in the TCGA cohort.

Algorithm for appearance simulation of plant diseases based on symptom classification.

Plant disease visualization simulation belongs to an important research area at the intersection of computer application technology and plant pathology. However, due to the variety of plant diseases and their complex causes, how to achieve realistic, flexible, and universal plant disease simulation is still a problem to be explored in depth. Based on the principles of plant disease prediction, a time-varying generic model of diseases affected by common environmental factors was established, and interactive environmental parameters such as temperature, humidity, and time were set to express the plant disease spread and color change processes through a unified calculation.

Fear of progression in patients with mild or common type COVID-19.

Aim: To investigate the current condition and degree of fear of disease progression and associated factors in patients with mild or common type COVID-19.

Background: At the end of 2019, COVID-19 spread from Wuhan in Hubei Province throughout China. Confirmed cases and deaths have since been reported in many countries around the world.

Dietary Supplementation With Yucca Alleviates Heat Stress in Growing Broilers Exposed to High Ambient Temperature.

Yucca contains high a content of saponin that has a glucocorticord-like effect in animals, e.g., anti-inflammation and anti-microbiota.

Inclusion of interleukin-6 improved performance of postoperative delirium prediction for patients undergoing coronary artery bypass graft (POD-CABG): A derivation and validation study.

Background: Patients undergoing coronary artery bypass graft (CABG) are at high risk for developing postoperative delirium (POD). A simple prediction rule may benefit patients from early identification of POD followed by adequate preventive strategies. The purpose of the current study was to develop and validate a POD prediction rule for patients undergoing CABG (POD-CABG), by considering all possible perioperative factors.

A Prediction Rule Including Interleukin-6 in Pericardial Drainage Improves Prediction of New-Onset Atrial Fibrillation After Coronary Artery Bypass Grafting.

Objective: To test the hypothesis that a prediction rule including levels of interleukin-6 in pericardial drainage (pdIL-6) would improve the discrimination in classifying patients undergoing coronary artery bypass grafting (CABG) into different postoperative atrial fibrillation (POAF) risk levels.

Design: Prospective cohort study.

Setting: A university-affiliated tertiary hospital.

RPL22 Overexpression Promotes Psoriasis-Like Lesion by Inducing Keratinocytes Abnormal Biological Behavior.

Background: Keratinocytes of psoriasis have anti-apoptotic properties including delayed apoptosis process, accelerated proliferation metabolism and postponed differentiation process. However, the specific mechanism leading to the abnormal biological behavior of keratinocytes remains unclear.

Objectives: We investigated the role of increased RPL22 expression in regulating the abnormal biological behavior of keratinocytes and the mechanism of regulation of RPL22 expression in skin lesions of psoriatic patients.