Objective:To systematically review recent domestic and international literature on the use of extracorporeal membrane oxygenation (ECMO) in obstetric critical care and provide evidence-based support for clinical decision-making.Methods:Literature published between January 1, 2014, and December 31, 2024, in both Chinese and English was retrieved from databases including CNKI, Wanfang Medical Network, Chinese Medical Journal Network, PubMed, and Embase. Data on maternal age, gestational age, diagnosis, ECMO type, ECMO duration, pregnancy outcomes, and maternal and neonatal survival rates were extracted from relevant studies.Results:Among 1 306 retrieved articles, 214 met the inclusion criteria, involving a total of 355 obstetric patients who received ECMO treatment. The majority of patients (58.9%, 209/355) were treated postpartum. The most common indications for ECMO initiation included pulmonary infection (32.7%, 116/355), pulmonary embolism (24.5%, 87/355), pulmonary hypertension (12.4%, 44/355), sepsis (9.6%, 34/355), and peripartum cardiomyopathy (6.2%, 22/355). The modes of ECMO used in the obstetric population were venovenous (VV) in 49.6%(176/355) and venoarterial (VA) in 44.2%(157/355) of cases. The overall maternal survival rate was 82.0%(291/355), while the fetal/neonatal survival rate was 74.4%(264/355). Bleeding was the most common complication (35.5%, 126/355), followed by thrombosis (14.6%, 52/355) and infections related to ventilator or cannulation sites (19.2%, 68/355).Conclusions:ECMO can serve as an effective temporary organ support therapy for critically ill patients during pregnancy and the postpartum period.

OBJECTIVE To explore the distribution of pathogens isolated from the cervical cancer(CC)patients with postoperative urinary catheter-associated urinary tract infection(UTI)and analyze the predictive values of se-rum high mobility group protein B1(HMGB1),Toll-like receptor 4(TLR4)and nuclear factor kappa B(NF-κB).METHODS Totally 116 patients with CC who underwent radical resection in the First Affiliated Hospital of Henan University of Science and Technology from Jan.2021 to Jan.2024 were enrolled in the study and were divided into the infection group with 31 cases and the non-infection group with 85 cases according to the status of complication with UTI after urinary catheterization.The midstream urine specimens were collected by aseptic method,the pathogens were isolated and identified.The serum HMGB1 level was detected by means of enzyme-linked immu-nosorbent assay,the relative expression levels of peripheral blood TLR4 and NF-κB proteins were detected by Western blot.The efficiencies of serum HMGB1,TLR4 and NF-κB in prediction of postoperative urinary catheter-associated UTI in the CC patients were analyzed by means of receiver operating characteristic(ROC)curves.RESULTS Totally 49 strains of pathogens were isolated from 31 CC patients with postoperative urinary catheter-associated UTI,and the patients who had infection of single species were dominant.Gram-negative bacteria were the most common pathogens,accounting for 61.22％.There were significant differences in the age,complication with diabetes mellitus,duration of urinary catheter indwelling,postoperative uroschesis and previous history of UTI between the infection group and the non-infection group(P＜0.05);there were significant differences in the levels of serum HMGB1,TLR4 and NF-κB between the two groups(P＜0.05).The area under the curve(AUC)of the joint detection of serum HMGB1,TLR4 and NF-κB was 0.906 in prediction of the postoperative urinary catheter-associated UTI in the CC patients,with the sensitivity 83.87％;the predictive efficiencies of the joint de-tection of the indexes were better than those of the single detection(P＜0.05).CONCLUSIONS The gram-negative bacteria are dominant among the pathogens isolated from the CC patients with postoperative urinary catheter-asso-ciated UTI.The joint detection of the serum HMGB1,TLR4 and NF-κB has the highest value in prediction of postoperative urinary catheter-associated UTI in the CC patients.

OBJECTIVE: To summarize the research progress of suture augmentation (SA) in anterior cruciate ligament (ACL) reconstruction. METHODS: A comprehensive review of recent literature about SA in ACL reconstruction at home and abroad was conducted. The efficacy of SA in ACL reconstruction was evaluated by examining the definition, biomechanics, and histological studies of SA, along with its clinical application status in ACL reconstruction. RESULTS: SA demonstrates significant advantages in enhancing the biomechanical stability of ACL grafts, reducing the risk of re-rupture, and accelerating postoperative recovery. Specifically, SA improves graft stiffness, ultimate failure strength, and cyclic stability, thereby diminishing the risk of early postoperative failure and joint instability. Histologically, it fosters remodeling and tendon-bone integration through early load-sharing mechanisms; however, stress shielding may interfere with natural remodeling processes, warranting further attention. Clinically, SA reduces graft failure rates and the need for revision surgeries, markedly improving knee joint stability and functional recovery in young patients. Nevertheless, its impact on graft maturation and potential complications remains controversial. CONCLUSION Despite the many advantages of SA in ACL reconstruction, future endeavors should focus on optimizing tensioning techniques, developing bioactive materials, and conducting large-scale randomized controlled trials to further elucidate its clinical value and scope of applicability, providing a more reliable solution for ACL reconstruction.
Humans ; Anterior Cruciate Ligament Reconstruction/methods* ; Biomechanical Phenomena ; Anterior Cruciate Ligament/surgery* ; Anterior Cruciate Ligament Injuries/surgery* ; Suture Techniques ; Sutures ; Tendons/transplantation* ; Joint Instability/prevention & control* ; Knee Joint/surgery*

In recent years, the situation of climate change has intensified, posing a threat to public health. There is an urgent need to promote public health adaptation actions to climate change. In January 2025, the National Disease Control and Prevention Administration issued the "Guidelines for Public Health Adaptation Actions to Climate Change" (hereinafter referred to as the "Guidelines"). The Guidelines put forward 20 items of guidance on six categories of public health adaptation actions, including understanding basic concepts, comprehending important policies, learning core knowledge, paying attention to key populations, practicing a low-carbon lifestyle, and mastering protection skills. It elaborates on the key concepts and the latest policies that the public needs to understand, and also provides the behavioral concepts and protection skills that should be mastered to adapt to climate change. This article provides a systematic interpretation of the Guidelines, introducing the background, ideas, connotations, and applications of their compilation, with the aim of enhancing society′s cognitive understanding of the Guidelines.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective Exploring the components of complex scenarios of healthcare surges triggered by major epidemics to provide a theorical basis for building resilience in healthcare organizations.Methods A hybrid analysis method is used to summarize macro-meso-micro multi-level and multi-source heterogeneous information,extract the elements of complex scenarios of medical surge and evaluate the rationality.Fault Tree Analysis method is used to clarify the logical relationship between various scenario elements and construct scenario reasoning paths.Results 10 scenario states,11 disaster-bearing,24 emergency management and 23 scenario results are summarized and extracted to form the key elements of complex surge scenarios.Among them,M4 expansion and coordinated scheduling of key positions,B2 conventional drug inventory emergency/insufficient core treatment drugs,B emergency medical material transportation breakage,S3 disease symptom spectrum shift to severe disease,R13 prevention and control awareness laxity,and M5 media information dissemination management are the key driving factors that promote a major turning point in the scenario.The most positive scenario result is the orderly operation of the medical service system,and the most negative scenario result is the paralysis of the medical service system.Conclusion Medical institutions need to improve emergency plans based on the complex evolution scenarios of medical surges and agile governance capabilities targeting key turning points,focus on dynamically expanding and scheduling personnel in key positions,strengthen material rotation and reserve mechanisms,maintain smooth emergency logistics channels,and improve efficient management of media and public opinion,so as to comprehensively improve overall resilience.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.

Objective To empirically analyze multiple pathways for enhancing medical surge response capacity and provide useful references for improving the resilience of health systems.Methods A comprehensive theoretical analysis framework for improving medical surge response capacity was constructed based on the 4S theory and collaborative governance theory.68 interview texts on medical surge response capacity conducted in July 2024 were selected as analysis samples.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),7 conditional variables were selected from four dimensions:management system,information system,materials,and personnel to analyze their impact on medical surge response capacity.Results(1)A single conditional variable does not constitute a necessary condition for improving medical surge response capacity;(2)After the combination of conditions,8 specific configuration paths for capacity improvement were identified.Through systematic and comprehensive refinement,they were summarized into three modes of comprehensive configuration capacity improvement paths,namely:rapid response and collaborative operation mode,information empowerment and precise response mode,and resource conditions and resilience construction mode.Conclusion It is necessary to explore and construct systematic,combined,modularized and path-oriented capacity building strategies,refine the operational implementation paths for improving China's medical surge response capacity,target the linkage and configuration modes of different conditional variables,promote the formulation and implementation of modular construction schemes oriented by key capacity,and make efforts from multiple aspects to enhance the resilience of the health system.