Objective:To investigate the effectiveness and safety of lacosamide (LCM) in pregnant women with epilepsy.Methods:A retrospective study was conducted involving 6 pregnant women with epilepsy who were treated with LCM at the Electroencephalogram Monitoring Center of the Department of Neurology, Xijing Hospital of Air Force Military Medical University from January 2022 to June 2023. Their electroclinical characteristics, seizures during pregnancy, breastfeeding, and follow-up were summarized.Results:The 6 patients were aged 22 to 30 years at the time of pregnancy. Three patients were treated with monotherapy, with a daily dose of LCM ranging from 150 mg to 200 mg, while the other 3 patients were treated with combination therapy, with a daily dose of 150 mg. The seizures of 5 patients decreased during pregnancy compared with progestation except for the case 2 without adherence to Medication. No malformations were observed in the newborns, with the Apgar scores of 9-10 at 1 minute and 5 minutes after birth. The infants showed normal growth, development, intelligence, and motor skills in subsequent assessments. Two patients breastfed their infants, 1 for 6 months and the other for 14 months by the last follow-up, with a daily LCM dose of 150 mg to 300 mg during the breastfeeding. No adverse reactions were observed in the infants.Conclusion:The addition of LCM during pregnancy and lactation showed good effectiveness and safety, with no observed birth malformations.

Epileptic seizure classification serves as an essential tool for evaluating seizures in clinical practice. In 2025, the International League Against Epilepsy updated the classification framework for epileptic seizures. An interpretation of the key updates is provided, with detailed content presented below: "onset" is removed from the names of the main seizure classes; consciousness is used as a classifier instead of awareness; the dichotomy of motor and non-motor is replaced by observable vs nonobservable manifestations; epileptic negative myocionus is recognized as a seizure type, to clarify the key updates to facilitate better application of the consensus in clinical practice.

Objective:To describe the temporal trend of disease burden of idiopathic epilepsy in China from 1990 to 2021 and predict the incidence of idiopathic epilepsy in China from 2022 to 2035 to provide references for the formulation of relevant health policies and measures.Methods:Based on data from the Global Burden of Disease Study 2021 (GBD 2021) database regarding idiopathic epilepsy in China, changes in disease burden from 1990 to 2021 were acquired. Disease burden was quantified using age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), age-standardized mortality rate (ASMR), age-standardized disability-adjusted life years (DALYs) rate (ASDR) and their 95% uncertain interval (UI). Temporal trend analysis was performed using a linear regression model to estimate the estimated annual percent change (EAPC) and annual percentage change (APC) in incidence of idiopathic epilepsy and their 95% CI. Additionally, incidence and number of patients with idiopathic epilepsy in China from 2022 to 2035 were predicted using Bayesian age-period-cohort model. Results:The ASIR of idiopathic epilepsy increased from 22.35 per 100,000 population in 1990 (95% UI: 15.04-30.92 per 100,000 population) to 28.19 per 100,000 population in 2021 (95% UI: 19.03-37.89 per 100,000 population), with an EAPC of 0.12% (95% CI: -0.10%-0.34%); ASPR of idiopathic epilepsy increased from 189.27 per 100,000 population in 1990 (95% UI: 132.48-252.95 per 100,000 population) to 214.71 per 100,000 population in 2021 (95% UI: 150.10-278.56 per 100,000 population), with an EAPC of -0.32% (95% CI: -0.57%-0.06%); ASMR of idiopathic epilepsy decreased from 1.86 per 100,000 population in 1990 (95% UI: 1.59-2.24 per 100,000 population) to 0.80 per 100,000 population in 2021 (95% UI: 0.67-1.00 per 100,000 population), with an EAPC of -2.96% (95% CI: -3.09%-2.82%); ASDR of idiopathic epilepsy decreased from 178.60 per 100,000 population in 1990 (95% UI: 143.44-220.63 per 100,000 population) to 101.39 per 100,000 population in 2021 (95% UI: 72.51-139.40 per 100,000 population), with an EAPC of -2.38% (95% CI: -2.54%-2.22%). The prediction model showed that by 2035, the prevalence of idiopathic epilepsy in China will be 28.27 per 100,000 (95% CI: 23.19-38.66), with an estimated 394,928 incident cases (95% CI: 324,037-540,128). Conclusions:From 1990 to 2021, the ASIR and ASPR of idiopathic epilepsy in China show an upward trend, while the ASMR and ASDR hace a decline trend. Incidence of idiopathic epilepsy in China is expected to remain stable over the next decade.

Tumors exhibit abnormal glucose metabolism, consuming excessive glucose and excreting lactate, which constructs a tumor microenvironment that facilitates cancer progression and disrupts immunotherapeutic efficacy. Currently, tumor glucose metabolic dysregulation to reshape the immunosuppressive microenvironment and enhance immunotherapy efficacy is emerging as an innovative therapeutic strategy. However, glucose metabolism modulators lack specificity and still face significant challenges in overcoming tumor delivery barriers, microenvironmental complexity, and metabolic heterogeneity, resulting in poor clinical benefit. Nanomedicines, with their ability to selectively target tumors or immune cells, respond to the tumor microenvironment, co-deliver multiple drugs, and facilitate combinatorial therapies, hold significant promise for enhancing immunotherapy through tumor glucose metabolic reprogramming. This review explores the complex interactions between tumor glucose metabolism-specifically metabolite transport, glycolysis processes, and lactate-and the immune microenvironment. We summarize how nanomedicine-mediated reprogramming of tumor glucose metabolism can enhance immunotherapy efficacy and outline the prospects and challenges in this field.

Acute large vessel occlusion stroke(ALVOS)of anterior circulation is associated with severe clinical manifestations and high rates of disability and mortality.Mechanical thrombectomy has emerged as the primary therapeutic intervention.However,post-procedural outcomes remain highly variable,and patients continue to face elevated risks of poor prognosis.Machine learning,a transformative tool in medical research,enables comprehensive analysis of multimodal data to identify specific biomarkers and improve the accuracy of predictions for clinical outcomes and adverse events.This review summarized the latest developments in machine learning applications aim at predicting post-thrombectomy prognosis and risk of adverse event,including futile recanalization,hemorrhagic transformation,and malignant cerebral edema in patients with anterior circulation ALVOS in order to provide a basis for developing personalized treatment plan and improve their clinical prognosis.

Objective:To extract, evaluate, and summarize evidence related to family participation in delirium management of ICU patients and provid a reference for clinical practice.Methods:A systematic search was conducted in databases such as UpToDate, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network, National Guideline Clearinghouse, Medlive, Cochrane Library, PubMed, Embase, CINAHL, China National Knowledge Infrastructure, and China Biology Medicine disc. The search covered clinical decisions, guidelines, expert consensus, evidence summaries, systematic reviews, and randomized controlled trials related to family participation in ICU delirium management, with a timeframe up to March 20, 2024. Two researchers independently screened literature, assessed quality, extracted evidence, and graded it.Results:A total of 28 articles were included, comprising seven evidence summaries, five guidelines, three expert consensuses, six systematic reviews, and seven randomized controlled trials. The findings were synthesized into five themes: visitation, assessment, non-pharmacological management, psychological and physical care, and health education, with a total of 26 best evidence points.Conclusions:The best evidence summarized in this study provides an evidence-based foundation for ICU healthcare providers to guide and encourage family participation in delirium management, which aida in the prevention of delirium in ICU patients.

Objective:To perform a Meta-synthesis of qualitative studies on the positive psychological experiences of cardiac surgery patients post-operation, and to analyze and evaluate these experiences.Methods:A systematic search was conducted in PubMed, Web of Science, CINAHL, Embase, ProQuest, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc, with the search period from the establishment of the database to March 10, 2024. The quality of the included literature was assessed using the Australia Joanna Briggs Institute for Evidence-Based Healthcare Centre Database Quality Assessment Criteria for Qualitative Research (2016). Results were integrated using the Meta synthesis method.Results:A total of 13 studies were included, of which one study was rated as Grade A and 12 as Grade B. 46 research outcomes were identified, which were summarized into 10 new categories and integrated into three main results: awakening of self-awareness, changes in health behaviors, and perceived social support.Conclusions:Cardiac surgery patients post-operation exhibit positive psychology. Medical staff should be able to identify and understand the supporting factors for these psychological states, correctly guide and maintain the positive psychological state of patients, and help facilitate active recovery.

Objective:To summary the best evidence of integrated traditional Chinese and Western medicine exercise rehabilitation for phase I cardiac rehabilitation after percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI) and to provide an evidence-based basis for clinical practice.Methods:The literature on integrated Chinese and Western medicine exercise rehabilitation among AMI patients in phase I after PCI was systematically searched in UpToDate, National Guideline Clearinghouse, Guidelines International Network, Scottish Intercollegiate Guidelines Network, Canadian Medical Association Clinical Practice Guideline, Chinese Medical Association, China National Knowledge Infrastructure, Medlive, VIP, China Biology Medicine disc, Wanfang Data, Scops, Cochrane Library, PubMed, and Web of Science, etc. The search period was from database establishment to May 20, 2024. Literature quality assessment and data extraction were performed independently by two researchers.Results:A total of 19 papers were included, including four guidelines, eight expert consensus, six systematic reviews, and one randomized controlled trial. Thirty-two pieces of best evidence were summarized from eight areas containing pre-rehabilitation assessment, timing of exercise, type of exercise, exercise program, exercise monitoring, frequency of exercise, criteria for termination of exercise, and health education and follow-up.Conclusions:The summary of the best evidence of integrated Chinese and Western medicine exercise rehabilitation among AMI patients in phase I after PCI provides an evidence-based basis for standardizing the process and practice standards of exercise rehabilitation among AMI patients in phase I after PCI.

Objective:To explore the current status, research hotspots, and development trends of shared decision-making in the field of cardiovascular disease nursing, and to provide a reference for future research.Methods:Relevant literature on shared decision-making in cardiovascular disease nursing published up to October 31, 2024, was retrieved from the Web of Science Core Collection and China National Knowledge Infrastructure. CiteSpace 6.4.R1 software was used for visualized analysis.Results:A total of 2 748 publications were identified, including 2 446 in English and 302 in Chinese. The overall number of publications has shown an increasing trend. Research hotspots include quality of life, palliative care, machine learning, and artificial intelligence. The emerging trend involves integrating evidence-based approaches with artificial intelligence technologies to build scientific evidence frameworks that support patients in making optimal decisions.Conclusions:Research on shared decision-making in cardiovascular disease nursing has been increasing year by year but remains largely concentrated in developed countries. Future studies should draw on international research frontiers while considering China's national and cultural contexts, enhance academic exchange and collaboration, and explore effective strategies to promote shared decision-making between Medical staff and patients.