OBJECTIVE To investigate the application and influencing factors of sodium-dependent glucose transporters 2 inhibitors（SGLT-2i） in patients with heart failure with preserved ejection fraction（HFpEF） in the real world. METHODS Data from 358 patients with HFpEF who were hospitalized at the First Affiliated Hospital of Chongqing Medical University from May 2023 to May 2024 were retrospectively collected. The patients were divided into the SGLT-2i group and the non-SGLT-2i group based on whether they were prescribed SGLT-2i upon discharge. Baseline characteristics， comorbidities， and differences in drug treatment were compared between the two groups. Based on univariate analysis， multivariate Logistic regression analysis was performed to identify independent influencing factors of SGLT-2i use in patients with HFpEF， followed by further stratified analysis. RESULTS Among 358 HFpEF patients， the overall utilization rate of SGLT-2i was 33.5%. Combined with type 2 diabetes [OR＝9.063，95%CI（4.924-16.679） ] ， atrial fibrillation [OR＝3.135，95%CI（1.590-6.178） ] ， coronary artery heart disease [OR＝1.888，95%CI（1.072-3.327） ] and the use of loop diuretics [OR＝3.822， 95%CI （1.588-9.200） ] were all independent influencing factors for the use of SGLT-2i in patients with HFpEF （ P ＜0.05）. The results of the stratified descriptive analysis were consistent with those of the multivariate analysis， showing a higher utilization rate of SGLT-2i among patients with concomitant T2DM，atrial fibrillation， coronary artery heart disease， and those receiving loop diuretics （ P ＜0.05）； whereas the utilization rate of SGLT-2i was comparable across patients with different levels of renal function （ P ＞0.05）. CONCLUSIONS In the real-world clinical practice， the utilization of SGLT-2i in patients with HFpEF remains suboptimal， and treatment coverage still needs to be improved. Their use of SGLT-2i is primarily influenced by the presence of type 2 diabetes， atrial fibrillation， coronary artery heart disease， and the use of loop diuretics.

Large language models (LLMs) offer a modern approach to help inherit traditional Chinese medicine (TCM). This article discussed the progress of LLM applications in TCM and proposed future development directions by reviewing the existing research. We have found that LLMs and related technologies have excellent applications and performance in the management of TCM knowledge and data. They are often applied in information extraction, knowledge graph construction, and data standardization processing. However, data quality and security issues need to be given more attention. In clinical diagnosis and treatment, LLMs can imitate the thinking of TCM by disassembling and reconstructing its diagnostic process and can achieve functions such as prescription recommendation and question and answer (Q&A). However, this approach involves LLMs making inferences and predictions based on existing corpora and thus may not flexibly handle complex environments and tasks. Moreover, the current evaluation criteria for TCM LLMs can be summarized into 3 categories: general evaluation metrics, technical framework evaluation, and evaluation criteria for the characteristics of TCM (such as consistency rates of prescriptions and diagnostic suggestions). However, the lack of a unified and standardized evaluation system hinders the clinical application of TCM LLMs. The future progress of TCM LLMs should focus on the 3 aforementioned critical aspects to achieve technological breakthroughs. In addition, we are promoting the research on vertical TCM LLMs and application terminals. We believe this will bring new ideas to the research on TCM LLMs.

Background High-speed train engineers' lower extremities are constrained by compulsive vigilance pedal tasks and limited space beneath the control console during driving. Shifts in alertness triggered by running route observation may share the same mental resource required by moderate-to-low physical exertion. Current research on improving cab design and maintaining optimal on-duty attention allocation remains limited. Objective To examine variations in lower extremity muscle load, gaze-tracking behavior, and driving performance under various combinations of vigilance pedal positions and route scenarios during simulated high-speed train tasks. To identify optimal working condition combinations that promote level and variety of physical activity and facilitate rational attention allocation. Methods A 4×2 within-subjects design were employed (4 vigilance pedal position profiles: knee front, side, and any; 2 route scenarios: monotonous and complex). Nine male college volunteers were recruited as simulated drivers to perform designated interval driving tasks. Surface electromyography and eye tracking were used to assess leg muscle load and gaze behavior respectively. Task performance and subjective fatigue were recorded. Results In all simulation driving tasks, skeletal muscle loads were low with the percentage of maximum voluntary contraction (%MVC) at approximately 4%. No fatigue tendencies were observed within single trial blocks (7 min), and the subjective fatigue ratings remained relatively low. While the activation of the dominant-side tibialis anterior was higher for the knee pedal than for the front (%MVC: 3.7% ± 3.13% vs. 1.08% ± 0.72%) or the side pedals (%MVC: 3.7% ± 3.13% vs. 1.4% ± 0.77%). The activation level of the dominant-side gastrocnemius was higher for the knee pedal than for the other three pedal profiles. For the any pedal condition, the intercept of the instantaneous median frequency curve for the dominant-side rectus femoris was lower in the monotonous route than in the complex route [(111.18 ± 35.78) Hz vs. (153.33 ± 39.12) Hz]. Among eye-tracking metrics, total fixations were higher during knee-level pedaling than side pedaling, while more saccades were recorded in monotonous routes than in complex ones. Regarding task performance, the any pedal yielded fewer missed signals than the front pedal, with 2/3 and 1/3 of participants preferring the front and knee pedals, respectively. The activation levels of the dominant tibialis anterior and dominant gastrocnemius muscles during the knee pedal × complex route combination were higher than any combination involving the front pedal. No statistically significant effect of pedal position or route scenario was found on other indicators. Conclusion The combination of knee pedal and complex route provides an optimal working setting for maximizing leg muscle mobility without compromising attention allocation or driving performance. It is recommended that train engineers modulate attention during monotonous routes to avoid emotional tension and increased muscle strain caused by over-monitoring. Given the ergonomic characteristics of high cognitive load, low physical exertion levels, and highly restricted lower limb mobility among high-speed train engineers, future cab designs should consider incorporating knee-level vigilance pedal and adjust safety alertness rules to allow reset via either front or knee pedal.

Background High-speed train engineers' lower extremities are constrained by compulsive vigilance pedal tasks and limited space beneath the control console during driving. Shifts in alertness triggered by running route observation may share the same mental resource required by moderate-to-low physical exertion. Current research on improving cab design and maintaining optimal on-duty attention allocation remains limited. Objective To examine variations in lower extremity muscle load, gaze-tracking behavior, and driving performance under various combinations of vigilance pedal positions and route scenarios during simulated high-speed train tasks. To identify optimal working condition combinations that promote level and variety of physical activity and facilitate rational attention allocation. Methods A 4×2 within-subjects design were employed (4 vigilance pedal position profiles: knee front, side, and any; 2 route scenarios: monotonous and complex). Nine male college volunteers were recruited as simulated drivers to perform designated interval driving tasks. Surface electromyography and eye tracking were used to assess leg muscle load and gaze behavior respectively. Task performance and subjective fatigue were recorded. Results In all simulation driving tasks, skeletal muscle loads were low with the percentage of maximum voluntary contraction (%MVC) at approximately 4%. No fatigue tendencies were observed within single trial blocks (7 min), and the subjective fatigue ratings remained relatively low. While the activation of the dominant-side tibialis anterior was higher for the knee pedal than for the front (%MVC: 3.7% ± 3.13% vs. 1.08% ± 0.72%) or the side pedals (%MVC: 3.7% ± 3.13% vs. 1.4% ± 0.77%). The activation level of the dominant-side gastrocnemius was higher for the knee pedal than for the other three pedal profiles. For the any pedal condition, the intercept of the instantaneous median frequency curve for the dominant-side rectus femoris was lower in the monotonous route than in the complex route [(111.18 ± 35.78) Hz vs. (153.33 ± 39.12) Hz]. Among eye-tracking metrics, total fixations were higher during knee-level pedaling than side pedaling, while more saccades were recorded in monotonous routes than in complex ones. Regarding task performance, the any pedal yielded fewer missed signals than the front pedal, with 2/3 and 1/3 of participants preferring the front and knee pedals, respectively. The activation levels of the dominant tibialis anterior and dominant gastrocnemius muscles during the knee pedal × complex route combination were higher than any combination involving the front pedal. No statistically significant effect of pedal position or route scenario was found on other indicators. Conclusion The combination of knee pedal and complex route provides an optimal working setting for maximizing leg muscle mobility without compromising attention allocation or driving performance. It is recommended that train engineers modulate attention during monotonous routes to avoid emotional tension and increased muscle strain caused by over-monitoring. Given the ergonomic characteristics of high cognitive load, low physical exertion levels, and highly restricted lower limb mobility among high-speed train engineers, future cab designs should consider incorporating knee-level vigilance pedal and adjust safety alertness rules to allow reset via either front or knee pedal.

Quality control (QC) of biospecimens from oral and maxillofacial tumors patients constitutes a critical foundation for the prevention, diagnosis, treatment, and precision medicine research of these diseases. Biospecimen quality directly governs the discovery and validation of disease biomarkers, the elucidation of pathogenesis, and the efficacy of clinical translation. QC spans the entire biospecimen lifecycle—encompassing collection, processing, storage, transportation, and utilization. Its primary objectives are to ensure sample integrity, reliability, traceability, and consistency, thereby guaranteeing the robustness of research data; the accuracy of molecular subtyping, biomarker identification, and treatment response prediction; and the precision of clinical decision-making. However, current QC frameworks for these biospecimens remain underdeveloped. Drawing on domestic and international technical standards, regulatory guidelines, and recent research advances, this paper elaborates on the importance of implementing a QC management system throughout the biospecimen lifecycle. It focuses on QC methodologies tailored to diverse biospecimen types, examining how standardized sampling procedures, regulated preprocessing workflows, and optimized long-term storage conditions influence sample quality. We aim to provide concrete guidance and a transferable paradigm for establishing standardized QC protocols and an informatics-enabled traceability system specific to oral and maxillofacial tumors. Such efforts are intended to enhance the research value and clinical utility of these biospecimens, furnishing reliable sample resources and technical support for the development of precision diagnostics and therapeutics. Furthermore, we advocate for a dual-track “QC plus Ethics” management framework within biobanks. This approach would reinforce ethical and legal safeguards, establishing a robust barrier to support safe scientific innovation and clinical translation.

Objective To evaluate the performance of lightweight Chinese large language models (LLMs) in answering specialized lung cancer questions, and to explore the impact of retrieval-augmented generation (RAG) on model performance. Methods Eleven lightweight Chinese LLMs with parameter sizes ranging from 7B to 32B were included. A lung cancer-specific evaluation dataset consisting of 200 questions [100 A1-type (basic knowledge) and 100 A2-type (clinical case) questions], constructed based on clinical guidelines and thoracic surgery textbooks, was used for assessment. Model performance was evaluated under two conditions (with and without RAG). Accuracy was used to assess model performance, and response latency was recorded to reflect inference efficiency. An accuracy–latency scatter plot was constructed for descriptive analysis of overall model performance. Results All models successfully completed the evaluation. With the introduction of RAG, the overall average accuracy improved from 61.68% to 76.36%. Smaller models demonstrated the most significant improvement (e.g., the accuracy of DeepSeek-7B increased from 32.50% to 60.00%, P<0.001). The average response latency increased from 12.58 s to 13.80 s. The Qwen3 series showed the best overall performance, and Qwen3-32B achieved the highest accuracy under both conditions (76.50% and 84.00%, respectively). After RAG integration, performance differences among model families were markedly reduced. Based on the accuracy-latency trade-off, Qwen3-32B achieved the best balance between accuracy and response latency under the baseline condition, whereas Qwen3-14B demonstrated superior overall performance in terms of accuracy, latency, and computational cost after RAG integration. Conclusion The integration of RAG technology improves the ability of lightweight Chinese LLMs to answer specialized lung cancer questions. Under the dual practical constraints of limited computational resources and medical data security requirements, the "lightweight model+RAG" technical framework may represent a promising deployment solution.

Objective To investigate the status quo of work performance appraisal,sense of salary fairness and salary satisfaction of traditional Chinese Medical(TCM)doctors,and to explore the effect of performance appraisal on salary satisfaction and the mediating effect ofsense of salary fairness between them.Methods A questionnaire survey was conducted among 412 TCM doctors selected from 1 1 public hospitals of different categories and grades in Zhejiang Province.Descriptive analysis,analysis of variance and structural equation model were used to analyze the data.Results The scores of Chinese Medicine characteristics(3.41),sense of salary fairness(3.15)and salary satisfaction(3.07)in the work performance appraisal of TCM doctors were between average(3)and better(4).The work performance appraisal of TCMdoctors had a positive effect on pay equity(β=0.714,P＜0.001),the sense of salary fairness of TCM doctors completely mediated(β=0.618,P＜0.001)the effect of TCM characteristics on salary satisfaction(β=0.084,P＞0.05).Conclusion It is suggested that the performance appraisal of TCM doctors should be improved and a fair and reasonable performance salary system should be established,and then enhance their salary satisfaction.

Objective To analyze the clinical research literature of in vitro fertilization and embryo transfer(IVF-ET)failure,and summarize the traditional Chinese medicine(TCM)syndromes and syndrome elements,so as to provide theoretical basis for TCM syndrome differentiation and treatment of IVF-ET failure.Methods Using"in vitro fertilization and embryo transfer""IVF-ET"and"embryo transfer failure"as search terms,the literature related to TCM that had appeared in CNKI and Wanfang Data Knowledge Service Platform were searched since these database was constructed.After excluding irrelevant literature,statistical analysis was performed on the frequency and frequency of symptoms and signs.Results Kidney Yang deficiency,kidney deficiency,blood stasis,kidney Yin deficiency and liver qi stagnation were the common syndroms of failure.The disease location with high frequency of syndrome elements was kidney,and the disease was blood stasis.Conclusion Kidney-Yang deficiency syndrome is the most common type of failure,and TCM disease location syndrome is the most common in kidney.The disease deficiency is mostly Yang deficiency,and the excess is mostly blood stasis.

Objective:The purpose of this study was to analyze the epidemiological characteristics of hand, foot, and mouth disease (HFMD) among individuals aged 6 years and above in Guangzhou from 2010 to 2023, with the intention that a scientific basis be provided for effective prevention and control measures in older age groups.Methods:Data on HFMD incidence among individuals aged 6 years and above in Guangzhou from 2010 to 2023 were collected and analyzed. Descriptive epidemiological methods were used to analyze the distributions and pathogen components of HFMD cases in Guangzhou residents aged 6 years and above. Spatial autocorrelation analysis and Getis-Ord Gi* analysis were conducted to identify the spatial clustering patterns of HFMD at the street town level. Results:From 2010 to 2023, the gender ratio of HFMD cases in persons aged 6 and above was 1.49∶1 in Guangzhou. The average annual incidence rate of HFMD among individuals aged 6 years and above in Guangzhou was 25.75 per 100 000. Furthermore, the reported incidence rate indicated an increased tendency. The annual incidence showed a bimodal distribution, with the main peak occurring from May to July and the secondary peak from September to October. HFMD incidence rates vary by townships, with hotspots clustered in urban and urban-rural regions. The dominant pathogen shifts from year to year. Enterovirus 71 (EV71) was the prevalent strain in 2010, followed by other enteroviruses and Coxsackievirus (CV)-A16 from 2011 to 2016. Since 2017, CV-A6 has steadily become the major pathogen.Conclusions:The incidence of HFMD cases among individuals aged 6 years and above in Guangzhou increased generally from 2010 to 2023, with hotspots localized in urban and urban-rural areas. The pathogen composition altered dramatically, with the proportion of EV71 dropping overall, while CV-A6 eventually became the dominating strain. Therefore, it is imperative to focus on the prevention and control of HFMD in this age group, especially by strengthening measures in areas with high prevalence.

Objective To investigate the clinical features of thyroid dysfunction in lung cancer patients treated with programmed cell death receptor-1(PD-1)or programmed cell death receptor-ligand 1(PD-L1)and their value for predicting therapeutic efficacy.Methods Lung cancer patients treated with PD-1/PD-L1 inhibitors at West China Hospital,Sichuan University between March 2018 and September 2022 were retrospectively enrolled.Data concerning the medical records,therapeutic efficacy,and thyroid function indicators of the patients were retrieved from the hospital electronic medical record information system.The data were then analyzed to identify risk factors and predictive factors for immune-related adverse events(irAEs)of the thyroid.The predictive value of thyroid irAEs for treatment efficacy and prognosis was assessed.Objective response rate(ORR)was defined as the indicator for therapeutic efficacy and progression-free survival(PFS)was defined as the prognostic indicator.Results A total of 368 lung cancer patients were enrolled.Among them,31.5％(116/368)developed thyroid irAEs.According to the results of logistic regression analysis,baseline thyroid stimulating hormone(TSH)concentration and baseline positive results for thyroglobulin antibody(TGAb)and thyroid peroxidase antibody(TPOAb)were risk factors for thyroid dysfunction caused by PD-1/PD-L1 inhibitors.Among the three measures,baseline TPOAb concentration demonstrated good predictive value for thyroid irAEs,with an area under the receiver-operating characteristic(ROC)curve(AUC)of 0.745.Patients with thyroid irAEs had a longer median PFS(16.0 months vs.9.7 months,P＜0.001)and a higher ORR(55.2％vs.34.9％,P＜0.001)compared to those without thyroid irAEs.Patients with thyroid irAEs had a better ORR than those without thyroid irAEs did.It was more likely for patients with thyroid irAEs to achieve an objective response compared to those without thyroid irAEs(odds ratio[OR]=2.29;95％CI,1.46-3.60).Conclusion In lung cancer patients treated with the PD-1/PD-L1 inhibitors,the TPOAb antibody demonstrates good predictive value for thyroid irAEs.Patients who develop thyroid irAEs have better treatment outcomes and prognosis.