In recent years， repetitive transcranial magnetic stimulation （rTMS） has garnered significant attention as a therapeutic approach for sleep disorders in the elderly. However， the prevailing rTMS protocols are predominantly developed based on normative neurophysiological data derived from young adults and fail to incorporate individualized parameters tailored to the brain characteristics of the elderly. To address this gap， the consensus development group synthesized the latest evidence from 2010 to 2025 and established a standardized rTMS protocol specifically for elderly patients with sleep disorders. Adhering to the Appraisal of Guidelines for Research and Evaluation II （AGREE II） framework， systematically screened randomized controlled trials （RCTs） and systematic reviews regarding rTMS in the treatment of sleep disorders across various conditions. Meanwhile， the Grading of Recommendations Assessment， Development and Evaluation （GRADE） system was employed to rigorously grade the quality of evidence and the strength of recommendations. This consensus guideline delineates precise rTMS protocols for the management of sleep disorders in the elderly， highlights the adjustment of stimulation intensity according to scalp-cortex distance recommends either MRI‑guided neuronavigation or the Beam F3/F4 heuristic approach for accurate target localization， thereby providing precise rTMS intervention protocol for sleep disorders in the elderly， aiming to enhance clinical efficacy while ensuring treatment safety. ［Funded by National Key Research and Development Program （number， 2023YFC3603200）； General Program of Shenzhen Science and Technology Innovation Commission （number， JCYJ20240813112859008， JCYJ20240813112900002）； Youth Program of Shenzhen Kangning Hospital （number， KN2023A004）； www.guidelines-registry.cn number， PREPARE-2026CN530］

ObjectiveTo enhance teaching in postoperative cancer rehabilitation, this study developed an integrative Chinese-Western medicine postoperative oncology rehabilitation system, termed the medical oncology generative pre-trained transformer (MedOncoGPT). By introducing MedOncoGPT as an intelligent assistant, an integrated teaching model combining Chinese and Western medicine was established. The study evaluated its impact on students’ integrative clinical reasoning and practical abilities, providing support for instructional reform in related courses. MethodsUsing teaching resources as the knowledge base, MedOncoGPT was built upon the open-source ChatGLM model and incorporated Low-Rank Adaptation (LoRA) fine-tuning and retrieval-augmented generation (RAG) techniques to address postoperative integrative oncology scenarios. The system was applied in courses and clinical clerkships related to integrative oncology. In alignment with course objectives, a five-stage instructional process—pre-class preparation, in-class inquiry, simulated multidisciplinary consultation, clinical reinforcement, and teaching reflection—was designed to guide students in completing syndrome differentiation, comprehensive assessment, and follow-up planning within real or simulated case contexts. Comparative analyses of student engagement, syndrome differentiation thinking, evidence-based awareness, and interdisciplinary integration skills before and after the teaching reform were conducted using questionnaires, course assessments, classroom observations, and semi-structured interviews. ResultsFollowing the implementation of MedOncoGPT, students demonstrated improved performance in case analysis, prescription formulation, and integrative Chinese-Western medical evaluation compared with those receiving traditional instruction. Classroom participation and the relevance of student inquiries also increased. Self-assessment results indicated high levels of satisfaction with respect to clarity of integrative clinical reasoning, ability to retrieve and apply guideline-based evidence, and awareness of appropriate use of intelligent tools in clinical decision-making. More than 92% of students reported that the system facilitated understanding of abstract theoretical concepts presented in textbooks. Instructors noted that the system helped reduce lesson preparation time, enriched typical case materials and discussion scenarios, and promoted the translation of research findings into classroom teaching. Pilot data showed that, with MedOncoGPT assistance, the mean time for initial syndrome differentiation decreased from 18.4 min to 12.1 min, and the agreement rate increased from 68.3% to 82.5%. In the teaching pilot, the experimental group achieved a higher mean score on the final case analysis assessment than the control group (82.6 vs. 74.3). ConclusionThe integration of MedOncoGPT into teaching on postoperative integrative cancer rehabilitation enabled the establishment of a stable instructional process within existing curricula and enhanced students’ integrative clinical reasoning and evidence-based practice capabilities. The approach demonstrates positive potential for advancing the integration of research, clinical practice, and education and represents a valuable exploratory strategy for instructional reform in courses on integrative Chinese-Western medicine.

ObjectiveTo enhance teaching in postoperative cancer rehabilitation, this study developed an integrative Chinese-Western medicine postoperative oncology rehabilitation system, termed the medical oncology generative pre-trained transformer (MedOncoGPT). By introducing MedOncoGPT as an intelligent assistant, an integrated teaching model combining Chinese and Western medicine was established. The study evaluated its impact on students’ integrative clinical reasoning and practical abilities, providing support for instructional reform in related courses. MethodsUsing teaching resources as the knowledge base, MedOncoGPT was built upon the open-source ChatGLM model and incorporated Low-Rank Adaptation (LoRA) fine-tuning and retrieval-augmented generation (RAG) techniques to address postoperative integrative oncology scenarios. The system was applied in courses and clinical clerkships related to integrative oncology. In alignment with course objectives, a five-stage instructional process—pre-class preparation, in-class inquiry, simulated multidisciplinary consultation, clinical reinforcement, and teaching reflection—was designed to guide students in completing syndrome differentiation, comprehensive assessment, and follow-up planning within real or simulated case contexts. Comparative analyses of student engagement, syndrome differentiation thinking, evidence-based awareness, and interdisciplinary integration skills before and after the teaching reform were conducted using questionnaires, course assessments, classroom observations, and semi-structured interviews. ResultsFollowing the implementation of MedOncoGPT, students demonstrated improved performance in case analysis, prescription formulation, and integrative Chinese-Western medical evaluation compared with those receiving traditional instruction. Classroom participation and the relevance of student inquiries also increased. Self-assessment results indicated high levels of satisfaction with respect to clarity of integrative clinical reasoning, ability to retrieve and apply guideline-based evidence, and awareness of appropriate use of intelligent tools in clinical decision-making. More than 92% of students reported that the system facilitated understanding of abstract theoretical concepts presented in textbooks. Instructors noted that the system helped reduce lesson preparation time, enriched typical case materials and discussion scenarios, and promoted the translation of research findings into classroom teaching. Pilot data showed that, with MedOncoGPT assistance, the mean time for initial syndrome differentiation decreased from 18.4 min to 12.1 min, and the agreement rate increased from 68.3% to 82.5%. In the teaching pilot, the experimental group achieved a higher mean score on the final case analysis assessment than the control group (82.6 vs. 74.3). ConclusionThe integration of MedOncoGPT into teaching on postoperative integrative cancer rehabilitation enabled the establishment of a stable instructional process within existing curricula and enhanced students’ integrative clinical reasoning and evidence-based practice capabilities. The approach demonstrates positive potential for advancing the integration of research, clinical practice, and education and represents a valuable exploratory strategy for instructional reform in courses on integrative Chinese-Western medicine.

Objective To analyze the incidence rate and risk factors of atrial fibrillation (AF) in elderly patients with chronic obstructive pulmonary disease (COPD). Methods A total of 392 patients with COPD in the hospital were selected from December 2020 to December 2024. Patients' data (medical history, echocardiographic data, etc.) were recorded. The incidence rate of AF in patients was recorded and the patients were grouped according to whether or not they developed AF. The differences were compared between the two groups, and the risk factors of AF occurrence in elderly patients with COPD were analyzed. Results Among the 392 patients with COPD, 127 cases (32.40%) met the diagnostic criteria of AF. There were statistically significant differences in age, pulmonary infection, heart failure, diabetes, smoking history, disease duration, LAD, severe renal insufficiency and coronary heart disease between the AF group and the non-AF group (P<0.05). Multivariate logistic regression analysis suggested that age, pulmonary infection, heart failure, diabetes mellitus, smoking history, disease course, LAD, severe renal insufficiency and coronary heart disease were all risk factors for elderly patients with COPD (OR=1.129, 4.246, 3.955, 4.125, 2.038, 1.112, 1.102, 4.397, and 3.865, P<0.05). Conclusion The incidence rate of AF is high in elderly patients with COPD. Age, pulmonary infection, heart failure, diabetes mellitus, smoking history, course of disease, LAD, severe renal insufficiency, and coronary heart disease are all risk factors for AF.

Objective:To investigate the application and effect of a competency-oriented teaching model in standardized nutritional diagnosis and treatment training for clinical physicians.Methods:A blended teaching method combining online and offline lectures was used to teach core knowledge and skills of clinical nutrition among clinical physicians by implementing a step-by-step "popularization-strengthening-deepening" strategy. The number of nutritional consultations, the improvement in nutritional diagnosis and treatment among clinical physicians, and the degree of satisfaction after training were used as assessment indices.Results:Compared with the data in 2021, the number of annual nutritional consultations was increased by 21.41% in 2022 and 53.18% in 2023. A total of 281 clinical physicians received online deepening course training, among whom 237 (84.34%) completed the online clinical nutrition knowledge test, with a mean score of (86.17±5.48) points and a pass rate of 81.86% (194/237). The online training received a satisfaction rate of 80.39%.Conclusions:The training program designed with competency-based objectives, systematic content, and diverse methodologies can significantly enhance the standardized thinking and capabilities of clinical physicians in nutritional diagnosis and treatment.

Thoracic anesthesia with spontaneous respiration represents a form of precision anesthesia meticulously customized to individual patients.Considering the more stringent requirements this anesthesia approach imposes on the regulation of respiratory function,the writing group of the"Consensus of Experts on the Management of Thoracic Anesthesia with Spontaneous Respiration"has formulated elaborate guidelines regarding indications and contraindications,preoperative evaluation,anesthesia implementation,common complications,and treatment strategies.This was accomplished by referencing relevant domestic and international literature and integrating it with actual clinical requirements.The objective is to standardize the rational application of this anesthesia method.

Alzheimer's disease(AD)is the most common neurodegenerative disorder worldwide,characterized primarily by cognitive impairment and memory dysfunction.Its pathological mechanisms involve the toxic accumulation of amyloid β-protein(Aβ),hyperphosphorylation of Tau protein leading to neurofibrillary tangles,mitochondrial dysfunction,synaptic impairment,cholinergic system dysfunction,neuroinflammation,and oxidative stress.Current clinical treatments for AD include acetylcholinesterase inhibitors and N-methyl-D-aspartate antagonists,which can improve cognitive function but fail to slow disease progression and often have side effects.Research indicates that traditional Chinese medicine(TCM)may regulate the phosphatidylinositol 3-kinase/protein kinase B(PI3K/AKT)signaling pathway,promoting neuronal survival,inhibiting neuroinflammation,reducing oxidative stress,preventing apoptosis,and decreasing Aβ deposition,thus improving the symptoms of AD.This review summarizes the mechanisms by which individual TCM components,extracts,and formulas may regulate the PI3K/AKT pathway in the treatment of AD,with the aim of providing a theoretical foundation for the application of TCM in AD therapy.

Alzheimer's disease(AD)is the most common neurodegenerative disorder worldwide,characterized primarily by cognitive impairment and memory dysfunction.Its pathological mechanisms involve the toxic accumulation of amyloid β-protein(Aβ),hyperphosphorylation of Tau protein leading to neurofibrillary tangles,mitochondrial dysfunction,synaptic impairment,cholinergic system dysfunction,neuroinflammation,and oxidative stress.Current clinical treatments for AD include acetylcholinesterase inhibitors and N-methyl-D-aspartate antagonists,which can improve cognitive function but fail to slow disease progression and often have side effects.Research indicates that traditional Chinese medicine(TCM)may regulate the phosphatidylinositol 3-kinase/protein kinase B(PI3K/AKT)signaling pathway,promoting neuronal survival,inhibiting neuroinflammation,reducing oxidative stress,preventing apoptosis,and decreasing Aβ deposition,thus improving the symptoms of AD.This review summarizes the mechanisms by which individual TCM components,extracts,and formulas may regulate the PI3K/AKT pathway in the treatment of AD,with the aim of providing a theoretical foundation for the application of TCM in AD therapy.

Objective To investigate the factors influencing pathologic complete response(pCR)after neoadjuvant chemotherapy(NAC)and its correlation with prognosis in patients with human epidermal growth factor receptor 2(HER2)-low breast cancer.Methods A retrospective analysis was conducted on patients with HER2-low breast cancer who underwent NAC at the Second Affiliated Hospital of Jiujiang College from February 28,2018 to February 28,2021.Patients were divided into pCR group(achieved pCR,n=143)and non-pCR group(did not achieve pCR,n=300)based on pCR status.General clinicopathological data were collected and compared between the two groups,including age,surgical method,NAC regimen,postoperative radiotherapy,clinical tumor stage,tumor cT stage,tumor cN stage,pathological type,tumor Nottingham grade,hormone receptor(HR)status,Ki-67 status,menopausal status,and endocrine therapy.Binary logistic regression analysis was used to identify factors influencing pCR after NAC.Propensity score matching(1:1)was employed to balance baseline characteristics between the two groups.The matched groups'baseline data were compared.Kaplan-Meier method was used for survival analysis of the matched cohorts.Multivariate Cox proportional hazards regression models were used to analyze the independent influence of pCR on disease-free survival(DFS)and overall survival(OS)in HER2-low breast cancer after matching.Results A total of 443 patients with HER2-low breast cancer receiving NAC were included,with a mean age of(49.5±8.0)years.Binary logistic regression analysis identified clinical tumor stage(OR=0.498,95%CI 0.267-0.930),HR status(OR=0.513,95%CI 0.328-0.801),Ki-67 status(OR=2.580,95%CI 1.366-4.874),tumor Nottingham grade Ⅲ(OR=3.197,95%CI 1.147-8.910),and endocrine therapy(OR=0.513,95%CI 0.328-0.801)as independent factors influencing pCR after NAC(P<0.05).After propensity score matching,80 patients remained in each group(PCR and non-PCR).No significant differences were found in clinicopathological characteristics between the matched groups(P>0.05).The median follow-up time was 45.0 months(95%CI 43.1-46.9)for pCR group and 43.0 months(95%CI 41.0-45.0)for non-pCR group.The DFS rate was significantly higher in pCR group than that in non-pCR group(87.5%vs.70.0%,P=0.004),but there was no significant difference in OS rate(88.8%vs.85.0%,P=0.438).Multivariate Cox regression analysis showed that pCR was an independent factor influencing on DFS(HR=0.312,95%CI 0.142-0.688,P=0.004),but not OS in HER2-low breast cancer patients.Conclusions Patients with HER2-low breast cancer who have a lower clinical tumor stage,HR-negative status,high Ki-67 expression,high tumor Nottingham grade,and absence of endocrine therapy are more likely to achieve pCR.Achieving pCR prolongs DFS significantly but does not significantly improve OS in these patients.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics.Similarities and variations of components present significant analytical challenges.A two-dimensional(2D)liquid chromatography-mass spectrometry(LC-MS)method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium(CMS).A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated.For efficient and high-accuracy screening of CMS,a targeted method based on a self-constructed high resolution(HR)mass spectrum database of CMS components was established.The database was built based on the commercial MassHunter Personal Compound Database and Library(PCDL)software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening.On this basis,the unknown peaks in the CMS chromatograms were deduced and assigned.The molecular formula,group composition,and origins of a total of 99 compounds,of which the combined area percentage accounted for more than 95％of CMS components,were deduced by this 2D-LC-MS method combined with the MassHunter PCDL.This profiling method was highly efficient and could distinguish hundreds of components within 3 h,providing reliable results for quality control of this kind of complex drugs.