Objective: To explore the association between types of obesity and 10-year risk of atherosclerotic cardiovascular disease (ASCVD) among hypertensive patients, so as to provide the basis for formulating ASCVD prevention strategies for hypertensive patients. Methods: From January to December 2021, hypertensive patients who were under follow-up management and completed health examinations at three community health service centers in Linping District, Hangzhou City were selected by a cluster sampling method. Basic information, lifestyle, disease history, height, weight, waist circumference (WC), and blood biochemical indicators were collected through health examination data. Based on assessments of body mass index (BMI) and WC, participants were categorized into four types: non-obese, general obesity only, central obesity only, and combined obesity. The Prediction for ASCVD risk in China (China-PAR) was used to assess 10-year ASCVD risk, which was categorized as low, moderate, and high risk. Multivariable logistic regression models were used to analyze the association between different types of obesity and ASCVD risk among hypertensive patients. Results: A total of 10 408 hypertensive patients were included, with a median age of 68.00 (interquartile range, 10.00) years. There were 4 301 (41.32%) males and 6 107 (58.68%) females. The proportions of non-obese, general obesity only, central obesity only, and combined obesity were 34.93% (3 635 individuals), 22.85% (2 378 individuals), 4.32% (450 individuals), and 37.90% (3 945 individuals), respectively. There were 3 389 (33.52%) cases at high risk of ASCVD. Among them, high ASCVD risk was observed in 1 107 (30.45%), 896 (37.68%), 122 (27.11%), and 1 364 (34.58%) patients with non-obese, general obesity only, central obesity only, and combined obesity, respectively. Multivariable logistic regression analysis showed that after adjusting for gender, age, smoking, drinking, physical activity, and diabetes, the risk of high ASCVD in hypertensive patients with general obesity only and combined obesity was 1.383 times (95%CI: 1.235-1.548) and 1.225 times (95%CI: 1.109-1.354) that of non-obese hypertensive patients, respectively. Conclusions General obesity only and combined obesity can increase the 10-year high risk of ASCVD among hypertensive patients. It is necessary to strengthen comprehensive management of body weight and WC among hypertensive patients to reduce the risk of ASCVD.

Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

Although global brain science research has progressed rapidly in recent decades, several fundamental questions in neuroscience remain unresolved. In particular, the physical mechanism underlying neural signal transmission remains controversial, and the carriers responsible for neural information storage and retrieval have not yet been fully clarified. These unresolved issues motivate us to re-examine the processes of neural information generation, transmission, integration, storage, and retrieval from multiple perspectives. A key observation is that neural electromagnetic activities are closely associated with time. Their duration, temporal structure, and dynamic evolution play crucial roles in neural information processing. In this work, we analyze neural electromagnetic activities from the perspective of temporal scales (referred to here as the “time course”). By reviewing and integrating findings from previous studies, we examine the characteristic time requirements and dynamic features of neural processes occurring at different stages of information processing. These stages include neural signal generation, signal transmission along axons, synaptic integration, synaptic plasticity, and memory formation and retrieval. Based on this temporal analysis, we outline a framework describing neural electromagnetic activities across a wide range of time scales, spanning from microseconds to minutes, hours, or even longer periods associated with long-term memory, which suggests that neural information processing involves multiple physical processes operating at different time levels. Rapid electromagnetic events may occur on microsecond scales, whereas electrophysiological phenomena such as action potentials typically last on the order of milliseconds. Longer time scales are associated with synaptic plasticity and memory-related processes. From this perspective, we propose that the physical carrier of neural information may be transient electromagnetic pulses with durations on the microsecond scale. In this framework, action potentials can be interpreted as the macroscopic electrophysiological manifestation of underlying electromagnetic processes triggered by ionic currents across neuronal membranes. Rather than being the fundamental neural signal itself, the action potential may represent a measurable membrane-level response associated with the successful activation of these electromagnetic events. Moreover, we discuss a possible mechanism for long-term memory storage. Considering the apparent temporal contradiction between the millisecond-scale excitation of neurons and the long-term persistence of memories, we believe that long-term memory information may be stored within neural network topologies formed by electrical synapse coupling. Such structures, referred to as electrically coupled memory networks (ECMNs), may enable neurons within the same network to respond rapidly and synchronously to stimuli, thereby facilitating efficient memory retrieval. Overall, this study emphasizes the importance of considering the temporal organization of neural electromagnetic activities when interpreting neural signaling mechanisms. It may provide new insights into the physical nature of neural information carriers and the mechanisms of memory storage and retrieval. Furthermore, highlighting the potential role of electromagnetic interactions in neural activity may contribute to the development of new theoretical frameworks and experimental approaches in neuroscience. Such perspectives may also offer valuable references for future research on neural coding, brain function mechanisms, and neuromodulation technologies.

Abstract The prevention and control of myopia in children and adolescents has become a national health strategy in China, and its prevention and management are transitioning from experience driven approaches to precise and intelligent strategies. Understanding the role of artificial intelligence (AI) in myopia prevention and control can provide a foundation for a comprehensive myopia prevention and control system. AI, with its powerful capabilities in data analysis and pattern recognition, shows significant potential in myopia risk prediction, screening and diagnosis, intervention support and behavior monitoring in children and adolescents. The article systematically summarizes the scientific evidence and consensus on the application of AI for myopia prevention and control in children and adolescents. From the perspective of public health practice, it proposes hierarchical expert recommendations for multiple scenarios including schools, families, communities and medical institutions, as well as policy and research with development. Furthermore, it discusses current challenges and future directions, aiming to provide a reference for building an intelligent, precise and fully covered comprehensive myopia prevention and control system in children and adolescents.

Hypocomplementemic urticarial vasculitis (HUV) is a rare autoimmune disorder characterized by recurrent urticarial eruptions, hypocomplementemia and systemic involvement. This disease is prone to misdiagnosis, and its systemic manifestations may include arthritis, abdominal pain, renal involvement, chronic obstructive pulmonary disease and so on. Herein, we report a case of HUV presenting with recurrent abdominal pain, generalized wheals and arthralgia. Laboratory tests revealed decreased complement levels, skin histopathology was consistent with leukocytoclastic vasculitis, and imaging examinations indicated spondyloarthritis, thus confirming the diagnosis of HUV. The patient initially received systemic glucocorticoids combined with colchicine, whereas recurrent rash and arthralgia persisted. Tofacitinib (a Janus kinase inhibitor) and methotrexate were subsequently added to the regimen, leading to remission of symptoms. This case suggests that tofacitinib may serve as a potential therapeutic alternative for patients with HUV who respond poorly to glucocorticoids.

Malignant tumor metastasis is the key factor leading to poor prognosis of patients， and it is a difficult problem to be overcome in the field of tumor therapy. Metabolic reprogramming， as a key link in the regulation of tumor metastasis activity， affects the growth， invasion， and metastasis of tumor cells by changing the metabolic pathways of intracellular substances （such as glucose， amino acids， lipids， and nucleotides）. In particular， metabolic reprogramming plays a key role in the multistage linked steps related to tumor metastasis and can play a crucial role in several key stages of tumor tissue dissociation in situ， hematogenous metastasis， and remote colonization. Malignant tumor cells can selectively adjust their own metabolic state to adapt to the growth conditions of different metastatic microenvironments and colonization sites and then choose the most favorable growth and metabolism strategy. According to the holistic concept of traditional Chinese medicine （TCM）， the metastasis of malignant tumors is generally closely related to the metabolic state of the whole body. One of the advantages of TCM in the treatment of malignant tumors is systemic regulation. With its multi-pathway， multi-target， and multi-component therapeutic characteristics， TCM can effectively control the metastasis of malignant tumors by regulating the degradation of tumor epithelial mesenchymal transformation （EMT） and extracellular matrix （ECM）， anchoring the independent growth of tumor cells and the tumor microenvironment. In this paper， the potential regulatory effects of metabolic reprogramming on the metastasis of malignant tumors were discussed， and the latest research progress of the regulation of metabolic reprogramming by TCM on tumor metastasis was reviewed. At the same time， the key targets of TCM and its bioactive components in the process of tumor metastasis intervention were reviewed. This study aims to provide a more valuable basis and clearer idea for the treatment of malignant tumor metastasis by regulating metabolic reprogramming with TCM.

With the rapid development of social economy and the continuous improvement of human living standard, the incidence, fatality and recurrence rates of cardiovascular disease (CVD) are increasing year by year, which seriously affects people's life and health. Conventional therapeutic drugs have limited improvement on the disability rate, so the search for new therapeutic drugs and action targets has become one of the hotspots of current research. In recent years, the therapeutic role of the natural compound rosmarinic acid (RA) in CVD has attracted much attention, which is capable of preventing CVD by modulating multiple signalling pathways and exerting physiological activities such as antioxidant, anti-apoptotic, anti-inflammatory, anti-platelet aggregation, as well as anti-coagulation and endothelial function protection. In this paper, the role of RA in the prevention of CVD is systematically sorted out, and its mechanism of action is summarised and analysed, with a view to providing a scientific basis and important support for the in-depth exploration of the prevention value of RA in CVD and its further development as a prevention drug.

Objective To explore the latent classes and influencing factors of blood glucose trajectories after transplantation in lung transplantation patients,and provide references for identifying high-risk population of post-transplant diabetes mellitus.Methods 122 lung transplantation patients who were hospitalized in a tertiary A general hospital in Hangzhou from January 2022 to March 2023 were selected conveniently as survey subjects.Socio-demographic and disease-related data were collected,and fasting plasma glucose at 1 week before surgery(T0),1 week after surgery(T1),1 month after surgery(T2),3 months after surgery(T3),6 months after surgery(T4),1 year after surgery(T5)were collected.Growth mixture model was used to identify categories of blood glucose trajectories after lung transplantation,and binary Logistic regression analysis was used to explore the influencing factors.Results A total of 109 lung transplantation patients were enrolled in the study,and 2 latent classes of blood glucose trajectories were identified:high risk(23.85％)and low risk(76.15％)of post-transplant diabetes mellitus.BMI,drinking history,afternoon blood glucose and tacrolimus trough concentration were the influencing factors of latent classes of blood glucose trajectories after lung transplantation(all P＜0.05).Conclusion There are 2 latent classes of blood glucose trajectories after lung transplantation,namely high risk and low risk of post-transplant diabetes mellitus.Medical staff should pay attention to diabetes screening and assessment of lung transplantation patients who are overweight or obese,have a drinking history before transplantation,have high afternoon blood glucose in early stage of transplantation and have high tacrolimus trough concentration in stable stage of transplantation,so as to formulate a comprehensive and individualized blood glucose management program.

This paper summarizes the nursing experience of a pregnant woman with congenital heart disease who developed pulmonary artery hypertension crisis after cesarean section.Nursing key points:monitoring and management of inhaled nitric oxide therapy to reduce pulmonary hypertension;providing sequential respiratory support care and dynamically adjusting oxygen therapy regimen;precise volume regulation and alertness to serious complications;optimizing puerperal supervision strategy to reduce the risk of infection;preventing and controlling stress bleeding and implementing a stepped dietary management strategy;implementing phased rehabilitation training to accelerate the recovery process;carrying out personalized psychological care and health education.With comprehensive nursing care,the patient recovered well and was discharged smoothly after an 18-day hospital stay.

Objective To analyze the research status and development trend of post dialysis fatigue(PDF)in dialysis patients at home and abroad,and to provide reference for nursing practice.Methods Relevant literature included in the China Knowledge Network,Wanfang Data Knowledge Service Platform and PubMed database from its inception to November 30,2024 was searched,and bibliometric analysis was performed using CiteSpace 6.2.R6 software.Results A total of 624 papers(347 in English and 277 in Chinese)were published from 1999 to 2024,with the number of articles increasing year by year;International research has formed a stable cooperation network,with hotspots focusing on the validation of the reliability and validity of the fatigue assessment tool and the exploration of nursing interventions.Conclusion Foreign PDF studies started earlier,and domestic studies have increased in recent years,but localization of assessment tools,validation of multiple populations and exploration of interventions need to be strengthened to improve patients' quality of life.