Objective: Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood. Methods: This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken. Results: In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies. Conclusion This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.

Objective: Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood. Methods: This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken. Results: In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies. Conclusion This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.

Objective: Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood. Methods: This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken. Results: In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies. Conclusion This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE: To construct and validate a prognostic prediction model for children with sepsis using the Phoenix sepsis score (PSS). METHODS: A retrospective case series study was conducted to collect clinical data of children with sepsis admitted to the pediatric intensive care unit (PICU) of the Affiliated Hospital of Guizhou Medical University from January 2022 to April 2024. The data included general information, the worst values of laboratory indicators within the first 24 hours of PICU admission, PSS score, pediatric critical illness score (PCIS), and the survival status of the children within 30 days of admission. The statistically significant indicators in univariate Logistic regression analysis were included in multivariate Logistic regression analysis to screen the risk factors affecting the prognosis of children with sepsis and construct a nomogram model. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive performance of the model. The Bootstrap method was used to perform 1 000 repeated sampling internal verification and draw the calibration curve of the model. RESULTS: A total of 199 children with sepsis were included, of which 32 died and 167 survived 30 days after admission. In the univariate Logistic regression analysis, shock, white blood cell count (WBC), international normalized ratio (INR), lactic acid (Lac), PSS score, and PCIS score were identified as statistically significant predictors. These variables were then included in the multivariate Logistic regression analysis, which demonstrated that shock [odds ratio (OR) = 4.258, 95% confidence interval (95%CI) was 1.049-17.288], WBC (OR = 1.124, 95%CI was 1.052-1.210), and PSS score (OR = 1.977, 95%CI was 1.298-3.012) were independent risk factors for mortality in pediatric patients with sepsis (all P < 0.05). A nomogram model was constructed based on these three risk factors, with the model equation as follows: -4.809+1.449×shock+0.682×PSS score+0.117×WBC. The calibration curve results showed that the model's predictions were highly consistent with the actual observations. The ROC curve showed that when the Youden index of the prediction model was 0.792, the sensitivity and specificity were 90.6% and 88.6%, respectively, and the area under the curve (AUC) was 0.957 (95%CI was 0.930-0.984), which was higher than the AUC of shock, WBC, and PSS score alone (0.808, 0.667, 0.908, respectively). CONCLUSIONS Shock, WBC, and PSS score have demonstrated certain predictive value for mortality in children with sepsis. The nomogram model based on the above indicators has important clinical significance for evaluating the prognosis and guiding treatment of children with sepsis.
Humans ; Sepsis/diagnosis* ; Prognosis ; Retrospective Studies ; Logistic Models ; Intensive Care Units, Pediatric ; Nomograms ; Child ; ROC Curve ; Risk Factors ; Male ; Female ; Child, Preschool ; Infant

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

Pseudomonas aeruginosa(PA)is an opportunistic pathogen commonly involved in environmental-and difffcult-to-treat nosocomial infection.Currently,multidrug-resistant(MDR)and extensively drug-resistant(XDR)strains of PA are e-merging due to the inappropriate use of antibiotics,which has become a major threat related to healthcare.The antibiotics re-sistance mechanism of PA is very complicated.PA can acquire resistance through mutations in genes encoding for membrane-associated proteins,antibiotics inactivation enzymes and their regulatory proteins,antibiotics target proteins,and two-compo-nent systems.Additionally,resistance genes acquired by horizontal gene transfer(HGT)lead to resistance of PA,which are frequently localized within mobile genetic elements(MGEs),including genes encoding enzymes that inactivate and modify anti-biotics,proteins genes that protect and modify antibiotic targets.In this review,acquired resistance mechanisms of PA involved in gene mutations and HGT was summarized.This review would provide references for the prevention and treatment of PA in-fection,as well as the research and development of new antibiotics.

Objective To explore the temporal characteristics and correlation between active exercise rehabilitation behaviour and related symptoms in middle-aged chronic obstructive pulmonary disease(COPD)patients,and to provide a basis for constructing a full cycle precision rehabilitation management system.Methods The ecological momentary assessment method was used to select 63 middle-aged COPD patients from the respiratory and critical care medicine department of a tertiary comprehensive hospital in Wuhan from October 15 to December 1,2024,using convenience sampling.Their active exercise rehabilitation behaviour(number of exercise projects,duration)and related symptoms(dyspnea,fatigue,anxiety)were continuously monitored for a week by using baseline survey,daily active exercise rehabilitation behavior assessment questionnaire,daily symptom assessment questionnaire.A multi-layer linear model was used to analyze the dynamic correlation between active exercise rehabilitation behaviour and symptoms.Results 58 patients were included.During the 1-week ecological momentary assessment,the system triggered a total of 1,218 momentary assessments and obtained 1,120 valid responses(with the valid response rate of 91.95％),with patients completing an average of(2.76±0.39)assessments per day.Multilevel linear models showed that momentary dyspnoea,fatigue,anxiety symptoms and baseline kinesiophobia all significantly negatively influenced active exercise rehabilitation behaviour(P＜0.05).Conclusion There are dynamic changes in the active exercise rehabilitation behaviour and related symptoms of middle-aged COPD patients.Nursing staff should establish a precise rehabilitation intervention system based on symptom fluctuations,strengthen patient self-management efficiency through dynamic monitoring and hierarchical management,and achieve long-term optimization of lung rehabilitation effects.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.