Conectar
This study aimed to investigate the network structural characteristics of self-efficacy and professional resilience among emergency nurses, identify core nodes within the network, and elucidate the key interactive mechanisms between these constructs.
Descriptive cross-sectional study.
A multi-center cross-sectional study was conducted from January to February 2025, involving 612 emergency nurses from 20 hospitals in Sichuan, China. Data were collected using a self-administered demographic questionnaire, the General Self-Efficacy Scale, and the Chinese Emergency Nurse Professional Resilience Tool. An adjacent network integrating professional resilience and self-efficacy was developed. Key covariates—including title, position, tenure in the hospital or emergency department, education, and exposure to workplace violence—were included as control variables. Network precision and stability were evaluated using the correlation stability coefficient and confidence intervals for edge weights. To further test the robustness of the network model, sensitivity analyses were performed by adding each significant covariate to the original model. The Network Comparison Test was then used to compare the covariate-adjusted and unadjusted networks, assessing differences in network structure, overall strength, and edge weights.
The analysis identified S9 as the central node in the network. The overall network showed satisfactory stability and precision. The Network Comparison Test showed no significant differences in network structure or global strength between the adjusted and unadjusted models, indicating that the network was stable and robust to covariate adjustment.
This network analysis revealed the interaction mechanisms between self-efficacy and professional resilience among emergency nurses through contemporaneous network modelling and identified S9 as the core node, suggesting that this coping strategy plays a key role in regulating psychological resources. The overall network demonstrated good stability and precision, with no statistically significant differences between the adjusted and unadjusted models according to the Network Comparison Test. These findings indicate that the network structure was robust to covariate adjustment and provide a reference for developing and optimising intervention strategies to enhance professional resilience among emergency nurses.
For Emergency Nurses and the Management of Emergency Nursing Practice: What problem does this study address?
This study addresses the gap in understanding how self-efficacy and occupational resilience interact in emergency nurses under high-stress conditions.
A contemporaneous network analysis revealed a central node linking self-efficacy and resilience, highlighting key pathways in their mutual influence.
The findings offer practical guidance for emergency nursing management, supporting the development of targeted strategies to strengthen nurses' resilience, enhance professional competence, and improve the quality of emergency care.
This study is reported using the STROBE guidelines.
No Patient or Public Involvement: This study did not include patient or public involvement in its design, conduct, or reporting.
by Weiheng Chen, Shouxi Zhu, Kequan Shao, Kejia Liang
To examine the impact of work-family conflict on occupational burnout among pilots following the COVID-19 pandemic, this study employed the Maslach Burnout Inventory-General Survey and the Zhao Xinyuan Bi-directional Scale of Work-Family Conflict as research instruments. The data were analyzed using correlation analysis and Structural Equation Modeling (SEM) to explore the relationship between work-family conflict and burnout. The results indicate a significant correlation between work-family conflict and burnout, as well as the three dimensions of burnout. Specifically, the correlation coefficients between work interfering with family (WIF) and family interfering with work (FIW) with occupational burnout were found to be 0.737 and 0.496, respectively. In the path analysis of the SEM, the estimated effects of WIF and FIW on burnout were both 0.49. Mediation analysis revealed that WIF indirectly influences burnout through FIW, with a mediation effect value of 0.117. Additionally, while pilot-related factors did not significantly affect burnout, they were found to have a notable impact on work-family conflict. These findings underscore the significant role of work-family conflict in contributing to burnout and provide a theoretical foundation for targeted interventions aimed at mitigating burnout among pilots.by Qijun Wo, Jiafeng Shou, Jun Shi, Lei Shi, YunKai Yang, Yifan Wang, Liping Xie
Prostate cancer (PCa) remains a leading cause of cancer-related mortality in men, with challenges in diagnosis and treatment due to tumor heterogeneity. This study identifies palmitoylation-related signature genes as potential diagnostic and therapeutic targets. Integrating GEO datasets, six differentially expressed genes (DEGs) linked to palmitoylation were identified. Machine learning algorithms (LASSO, RF, SVM) selected three core genes: TRPM4, LAMB3, and APOE. A diagnostic model based on these genes achieved an AUC of 0.929, demonstrating robust accuracy in distinguishing PCa from normal tissues. Functional analysis revealed roles in lipid metabolism and immune modulation, with ssGSEA highlighting correlations between key genes and immune cell infiltration. Experimental validation showed that LAMB3 overexpression suppressed PCa cell proliferation, migration, and invasion, while knockdown enhanced these processes. Molecular docking identified diethylstilbestrol as a potential therapeutic agent targeting LAMB3 and APOE. These findings emphasize the clinical relevance of palmitoylation-related genes in PCa diagnosis and therapy, offering novel biomarkers and insights for personalized treatment strategies.Emergence agitation (EA), defined as acute postoperative restlessness after general anaesthesia, is a common complication in the post-anaesthesia care unit (PACU). The reported incidence of EA is nearly 30% in neurosurgical surgery, which bears tremendous risks for neurosurgical patients. Although current evidence suggests that remifentanil may reduce EA risk in non-cardiac settings, its preventive efficacy in patients undergoing intracranial surgery remains unclear.
In this single-centre, randomised, double-blind, parallel-group prospective clinical trial, patients scheduled for elective craniotomy will be screened to confirm their eligibility. After surgery under general anaesthesia, patients will be assigned to groups to receive either remifentanil or placebo infusion on admission to the PACU. The remifentanil group will be given remifentanil infusion at a dose of 0.1 µg/(kgxmin), whereas the control group will be given the same volume of normal saline. The primary outcome is the effect of remifentanil on EA incidence during the emergence period. Secondary outcomes include the following: time to regain consciousness, extubation time, total PACU duration, extubation comfort score measured by the modified Minogue Scale, postoperative pain intensity assessed using a Numerical Rating Scale, awakening quality and postoperative delirium assessed by alertness and orientation score, and a 3-Minute Diagnostic Interview for Confusion Assessment Method.
The study protocol (V.4.0, dated 14 August 2025, No. 2025–0954) has been approved by the Institutional Ethics Committee of the First Affiliated Hospital, Zhejiang University School of Medicine and complies with the Declaration of Helsinki and relevant regulations for research involving human participants. Findings will be disseminated through peer-reviewed publications and conference presentations.
ChiCTR2500096691.
Delayed antibiotic prescribing (DAP) has demonstrated efficacy in reducing inappropriate antibiotic use for uncomplicated respiratory tract infections (uRTIs) in primary care across high-income countries. However, evidence regarding its effectiveness in low-income and middle-income countries remains limited. This cluster-randomised controlled trial (cRCT) aims to evaluate the effectiveness of DAP for optimising antibiotic use in primary healthcare institutions (PHIs) in China.
We designed a pragmatic, multicentre, open-label, three-arm cRCT in adult patients with uRTIs. The study will involve 12 PHIs in Korla City of China. Participating institutions will be randomised at a 1:1:1 ratio to three parallel arms: (1) DAP-intervention arm, (2) Immediate antibiotic prescribing comparator arm and (3) Usual care (observational arm). The primary outcome is symptom duration. Secondary outcomes include symptom severity, antibiotic use, adverse events, patient satisfaction and patient belief regarding antibiotic efficacy.
Ethics committee approval of this study was obtained from Peking University Institution Review Board (IRB00001052-24169). The findings will be disseminated through peer-reviewed publications and presentations at scientific conferences.
ChiCTR2500097330.
To evaluate the satisfaction and self-confidence levels among midwifery students in clinical training programmes at Palestinian universities and to identify associated factors.
A descriptive, cross-sectional study.
Clinical training programmes at five universities across the West Bank, Palestine, during the second semester of the 2023—2024 academic year.
A convenience sample of 116 final-year (third- and fourth-year) midwifery students actively engaged in clinical training.
The primary outcomes were satisfaction and self-confidence, measured using validated scales adapted from the National League for Nursing. Demographic factors (university, academic year, training area, gender) were analysed as secondary measures influencing the primary outcomes.
Students reported moderate satisfaction (mean=3.38±0.75, 95% CI: 3.25 to 3.51) and high self-confidence (mean=3.61±0.73, 95% CI: 3.49 to 3.73). A strong positive correlation was found between satisfaction and training area (r=0.693, p
Geographical disparities and gender significantly influence midwifery students’ clinical training experiences in Palestine. These findings highlight the need for equitable distribution of training resources, the implementation of gender-sensitive mentorship programmes and tailored support for students in advanced academic years to improve educational outcomes and build a capable healthcare workforce.
Millions of patients receive general anaesthesia every year with either propofol total intravenous anaesthesia (TIVA) or inhaled volatile anaesthesia (INVA). It is currently unknown which of these techniques is superior in relation to patient experience, safety and clinical outcomes. The primary aims of this trial are to determine (1) whether patients undergoing (a) major inpatient surgery, (b) minor inpatient surgery or (c) outpatient surgery have a superior quality of recovery after INVA or TIVA and (2) whether TIVA confers no more than a small (0.2%) increased risk of definite intraoperative awareness than INVA.
This protocol was co-created by a diverse team, including patient partners with personal experience of TIVA or INVA. The design is a 13 000-patient, multicentre, patient-blinded, randomised, comparative effectiveness trial. Patients 18 years of age or older, undergoing elective non-cardiac surgery requiring general anaesthesia with a tracheal tube or laryngeal mask airway will be eligible. Patients will be randomised 1:1 to one of two anaesthetic approaches, TIVA or INVA, using minimisation. The primary effectiveness endpoints are Quality of Recovery-15 (QOR-15) score on postoperative day (POD) 1 in patients undergoing (1) major inpatient surgery, (2) minor inpatient surgery or (3) outpatient surgery, and the primary safety endpoint is the incidence of unintended definite intraoperative awareness with recall in all patients, assessed on POD1 or POD30. Secondary endpoints include QOR-15 score on POD0, POD2 and POD7; incidence of delirium on POD0 and POD1; functional status on POD30 and POD90; health-related quality of life on POD30, POD90, POD180 and POD365; days alive and at home at POD30; patient satisfaction with anaesthesia at POD2; respiratory failure on POD0; kidney injury on POD7; all-cause mortality at POD30 and POD90; intraoperative hypotension; moderate-to-severe intraoperative movement; unplanned hospital admission after outpatient surgery in a free-standing ambulatory surgery centre setting; propofol-related infusion syndrome and malignant hyperthermia.
This study is approved by the ethics board at Washington University, serving as the single Institutional Review Board for all participating sites. Recruitment began in September 2023. Dissemination plans include presentations at scientific conferences, scientific publications, internet-based educational materials and mass media.
Dyspnea is a common chief complaint leading to emergency department (ED) visits. Multiple conditions may cause or be associated with dyspnoea, including bacterial pneumonia, acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (COPD) or asthma and pulmonary embolism. Each of these diagnoses has a specific treatment recommended by international guidelines. Inappropriate treatment in the ED is more frequent among elderly patients and is independently associated with in-hospital mortality. Point-of-care ultrasound is immediately available at the bedside. Lung and cardiac ultrasound (LuCUS) offers excellent diagnostic accuracy for bacterial pneumonia, AHF and COPD exacerbations, even in elderly patients. The primary objective of the LUC REED trial is to evaluate the impact of a LuCUS-guided strategy versus standard care on reducing inappropriate treatment of dyspnoea in elderly ED patients.
The LUC REED trial is a prospective, interventional, multicentre, stepped-wedge randomised controlled trial designed to assess the superiority of a LuCUS-guided strategy over standard care in ensuring treatment appropriateness for dyspnoea in elderly ED patients. The study will include 504 patients over 2 years. Patients aged >65 years presenting with acute dyspnoea and signs of severity (respiratory rate ≥22 or SpO2
Ethics final approval was obtained from the Institutional Review Board of France—Est IV on 4 April 2025 (2024-A01678-39). Results will be published in peer-reviewed international journals.
The last-minute cancellation of surgeries profoundly affects patients and their families. This research aimed to forecast these cancellations using EMR data and meteorological conditions at the time of the appointment, using a machine learning approach. We retrospectively gathered medical data from 13 440 pediatric patients slated for surgery from 2018 to 2021. Following data preprocessing, we utilized random forests, logistic regression, linear support vector machines, gradient boosting trees, and extreme gradient boosting trees to predict these abrupt cancellations. The efficacy of these models was assessed through performance metrics. The analysis revealed that key factors influencing last-minute cancellations included the impact of the coronavirus disease 2019 pandemic, average wind speed, average rainfall, preanesthetic assessments, and patient age. The extreme gradient boosting algorithm outperformed other models in predicting cancellations, boasting an area under the curve value of 0.923 and an accuracy of 0.841. This algorithm yielded superior sensitivity (0.840), precision (0.837), and F1 score (0.838) relative to the other models. These insights underscore the potential of machine learning, informed by EMRs and meteorological data, in forecasting last-minute surgical cancellations. The extreme gradient boosting algorithm holds promise for clinical deployment to curtail healthcare expenses and avert adverse patient-family experiences. 
FreshRSS 