Objective: Patients with atherosclerotic cardiovascular disease (ASCVD) following percutaneous coronary intervention (PCI) are classified as very-high-risk individuals in cardiovascular disease (CVD) risk stratification. The distribution pattern of traditional Chinese medicine (TCM) syndromes in this patient population, as well as its association with blood lipid profiles and clinical prognosis, remains unclear. The present prospective cohort study aims to investigate these correlations, thereby providing insights to enrich the research fields. Methods: We enrolled consecutive patients with ASCVD who underwent PCI at the Integrated Cardiology Unit of China-Japan Friendship Hospital between September 1, 2020 and December 31, 2022. Demographics and clinical characteristics, signs and symptoms defining each TCM syndrome, and fasting venous blood samples were collected at baseline and follow up or upon major adverse cardiovascular events (MACEs). We analyzed the correlation between TCM syndromes, blood lipid profiles, and MACEs, and developed a new joint prognostic model incorporating both TCM syndromes and blood lipids using logistic regression. The analyses were based on detailed baseline and one-year follow-up data. Results: A per-protocol analysis was performed on 586 patients with complete data ultimately. During the one-year follow-up, 174 patients (29.69%) experienced a MACE. We performed statistical analyses on comorbidities, medication, and biochemical indicators across groups defined by TCM syndrome differentiation. When comparing different TCM syndromes, no significant differences were found in age, body mass index (BMI), history of revascularization, comorbidities, family history of CVD, smoking or drinking, or statin intensity (P > 0.05). Patients with intertwined phlegm and blood stasis syndrome exhibited significantly higher levels of total cholesterol (TC, 5.27 ± 1.18 mmol/L, P < 0.001), triglyceride (TG, 1.96 ± 1.33 mmol/L, P = 0.008), low-density lipoprotein cholesterol (LDL-C, 3.35 ± 0.79 mmol/L, P < 0.001), and high-density lipoprotein cholesterol (HDL-C, 1.24 ± 0.81 mmol/L, P < 0.001) compared with those with other TCM syndromes combined. A multivariable logistic regression model was constructed to predict MACEs. The model included TCM syndrome type [with intertwined phlegm and blood stasis as a predictor, adjusted odds ratio (OR) = 1.413, 95% confidence interval (CI): 0.517 – 3.864, P = 0.501], age (adjusted OR = 0.97, 95% CI: 0.955 – 1.001, P = 0.057), male gender (adjusted OR = 0.698, 95% CI: 0.416 – 1.170, P = 0.173), TC (adjusted OR = 1.004, 95% CI: 0.513 – 1.965, P = 0.990), and LDL-C (adjusted OR = 5.825, 95% CI: 2.214 – 15.326, P < 0.001). This model demonstrated good discriminatory ability for MACEs in post-PCI ASCVD patients [the area under the receiver operating characteristic (ROC) curve (AUC) = 0.865, 95% CI: 0.816 – 0.914]. Conclusion The intertwined phlegm and blood stasis TCM syndrome is associated with a distinct atherogenic lipid profile characterized by elevated levels of TC and LDL-C. The prognostic model that incorporates this TCM syndrome type along with conventional lipid parameters (TC and LDL-C) shows good discriminatory ability for predicting MACEs in ASCVD patients after PCI, underscoring the potential clinical utility of integrating TCM syndrome differentiation into CVD risk assessment.

OBJECTIVE This study aims to establish a prompt engineering system for large language models in pharmaceutical popularization， and provide references for pharmacists to carry out efficient and standardized science popularization work. METHODS This study systematically expounded the principles and classifications of prompt engineering， as well as its effect on alleviating problems including model output hallucinations and poor interpretability. The design and optimization strategies of prompt engineering were defined for two core scenarios， namely text-to-text and text-to-image. Typical examples were adopted to compare the output effects before and after application. In addition， the limitations of prompt engineering applied in pharmaceutical popularization at the current stage were summarized. RESULTS In the two major scenarios of pharmaceutical popularization， well-designed prompt engineering improved the accuracy， readability and efficiency of outputs generated by large language models， and produced personalized popularization content adapted to clinical practice. CONCLUSIONS Prompt engineering can effectively improve the output quality of pharmaceutical popularization. The formulated standardized prompt engineering templates tailored for pharmaceutical popularization， can help pharmacists improve the efficiency and quality of popularization content creation.

ObjectiveTo evaluate the larvicidal effect of ultrasonic waves against Aedes albopictus larvae at various exposure parameters (distance and time), and to preliminarily investigate the effects of different containers (water volume and depth) and ultrasonic devices on the larvicidal efficacy, so as to provide experimental evidence for the application of ultrasound-based mosquito control technology. MethodsUnder controlled laboratory conditions, two commercially available ultrasonic devices [40 kHz/300 W and (50±5) kHz/70 W] were used to systematically examine the effects of exposure distance (20, 40, 60, 80, and 100 cm), exposure duration (1, 3, 6, 15 and 60 min), larval instar(Ⅰ‒Ⅱ and Ⅲ‒Ⅳ）, and container type on the immediate mortality of Aedes albopictus larvae collected from urban areas of Shanghai. Statistical analysis of the mortality rates of larvae among different experimental groups was performed using the chi-square test. ResultsUltrasonic exposure exerted a detectable larvicidal effect against Aedes albopictus larvae of all instars. For early-instar larvae, exposure time significantly affected mortality at all tested distances (20, 40, 60, 80 and 100 cm), with χ² values ranging from 25.57 to 32.74 ( all P<0.001). No significant distance effect was observed in the first and second instar larvae after short-term exposure (1 and 3 min; P>0.05). However, a distance-dependent effect emerged from 6 min onward (P<0.05). During short-term exposure (1 min and 3 min) at close range (20 cm and 40 cm), the immediate mortality of the third and fourth instar larvae was higher than that of the first and second instar larvae. Conversely, during prolonged exposure (15 min and 60 min), the first and second instar larvae exhibited significantly higher mortality than that of the third and fourth instar larvae. These results indicated that larval mortality was jointly influenced by exposure duration and distance. Preliminary experiments indicated that larvicidal efficacy in shallow water was lower than that in deep water. No significant difference in larvicidal effect was observed between the two ultrasonic devices with different frequencies and power outputs. ConclusionUnder laboratory conditions, ultrasound can effectively kill Aedes albopictus larvae, and the larvicidal effect is jointly influenced by larval instar, exposure distance, and aquatic environment. Compact ultrasonic devices show potential for field application in biological mosquito control.

Objective On the basis of the theory of the tumor metastatic state, this work aims to explore the metastasis trajectories and peripheral immune response patterns in patients with non-small cell lung cancer (NSCLC) receiving vital qi-strengthening and toxin-eliminating therapy (Fuzheng Juandu) and reveal the value of peripheral immunity in assessing vital qi deficiency during metastasis. Methods A retrospective study design was adopted. Patients with NSCLC admitted from January 1, 2018, to October 31, 2025 were enrolled. Data on metastasis status and peripheral immune indices were collected at the follow-up time points of one, two, three, and five years. Group-based trajectory modeling was used to fit metastasis trajectories, and the independent predictors of trajectory grouping were analyzed through multifactor and multiclassification logistic regression. Results A total of 184 patients with NSCLC were included, and three different groups of metastasis trajectories were identified, namely, the low-risk stable (46.74%, n=86), low-risk rising (13.59%, n=25), and high-risk stable (39.67%, n=73) groups. Univariate analysis revealed substantial differences in peripheral immune indices among the three trajectory groups. Multivariate analysis showed that TNM stage, absolute neutrophil count, lymphocyte count, absolute monocyte count, platelet volume, SAA:CRP ratio, and NLR were independent predictors of the low-risk rising group, whereas TNM stage, absolute monocyte count, basophil count, SII, and NLR were independent predictors of the high-risk stable group. Conclusion Under Fuzheng Juandu therapy, patients with NSCLC exhibit three distinct metastasis trajectories, each corresponding to a specific peripheral immune response pattern. Elucidating these peripheral immune response patterns may facilitate the objective quantification of the degree of vital qi deficiency, prediction of future metastasis risk, and providing an important reference for the individualized clinical implementation of Fuzheng Juandu therapy.

From July 22 to 24, 2026, the 2nd International Symposium on Environment and Reproductive Health and the 20th National Postgraduates Symposium on Environmental and Occupational Medicine were successfully held in Shanghai. The conference brought together experts, scholars, young researchers, and graduate students from Harvard University, National University of Singapore, Chinese University of Hong Kong, Peking University, Fudan University, Shanghai Jiao Tong University, and other domestic and foreign universities and scientific research institutions to carry out in-depth exchanges on cutting-edge issues such as environment and reproductive health, environmental exposure and health effects, occupational health, disease risks, and toxicological mechanisms. The conference featured a main hall, multiple sessions, an editorial board memebers & experts forum, excellent paper reports, a postgraduate parallel forum, and keynote presentations. This postgraduate symposium, themed "Research and practice: Healing the schism", attracted a total of 113 papers. This year marked the first time that the National Postgraduates Symposium on Environmental and Occupational Medicine was jointly held with an international academic conference. It further expanded the high-level platform for academic exchange and young talent cultivating, and promoted the deep integration of scientific research innovation, achievement dissemination, and public health practice.

Objective: This study aimed to construct an animal model of heart failure with preserved ejection fraction (HFpEF) that integrates disease and syndrome based on the "deficiency-blood stasis-toxin" pathogenesis and to evaluate it comprehensively. Methods: The HFpEF mouse model was constructed using a combination of Nω-nitro-L-arginine methyl ester (L-NAME) and a high-fat diet. According to the random number table method, SPF-grade male C57BL/6J mice were randomly assigned to the control, L-NAME, high-fat diet, and model groups, 10 in each group. Comprehensive observations and data collection on macroscopic signs (e.g., fur condition, mental state, stool and urine, oral and nasal condition, paw and body condition, etc.) and cardiac function were performed after 10 and 16 weeks of model induction. Additionally, the syndrome evolution was elucidated based on diagnostic criteria for clinical syndromes of heart failure. Furthermore, pathological and molecular biological examinations of myocardial tissue were performed to assess the stability and reliability of the model. Results: Mice in the model group showed typical characteristics of syndrome of qi deficiency and blood stasis, as well as syndrome of internal heat accumulation, including lethargy, slow response, dull paw color and oral/nasal color, exercise intolerance, abnormal platelet activation, dry feces, and dark yellow urine. The time window for these syndromes was between 10 and 16 weeks post-modeling. Cardiac function assessments revealed severe diastolic dysfunction, concentric myocardial hypertrophy, and myocardial fibrosis in the model group. Pathological examinations showed a significantly increased collagen deposition in the myocardial interstitium, enlarged cross-sectional area of cardiomyocytes, and sparse coronary microvasculature in the model group. Molecular biological analyses indicated marked activation of the inducible nitric oxide synthase/nuclear factor kappa-light-chain-enhancer of activated B cells/NOD-like receptor family pyrin domain containing 3 inflammatory pathway and significantly elevated inflammation levels in the myocardial tissue of the model group. Although mice in the L-NAME and high-fat diet groups also showed certain manifestations of qi deficiency syndrome, the substantial cardiac damage was relatively limited compared to the control group. Conclusion This study has constructed an animal model of HFpEF that integrates disease and syndrome based on the "deficiency-blood stasis-toxin" pathogenesis. The macroscopic and microscopic characteristics of this model are consistent with the manifestations of syndrome of qi deficiency and blood stasis, toxin syndrome, and syndrome of internal heat accumulation. Moreover, it can stably simulate the HFpEF state and reflect phenotypic changes in human disease. This model provides a suitable experimental platform to explore the pathogenesis of HFpEF, evaluate the effectiveness of traditional Chinese medicine (TCM) treatment regimens, and promote in-depth research on TCM syndromes of heart failure.

Objective: To investigate the interactive effects of prenatal and postnatal factors on overweight and obesity in preschool children, so as to provide evidence for subsequent planning of prevention strategies and intervention measures. Methods: Between October 2020 and June 2021, a convenience cluster sample of 918 preschool children from four kindergartens in Xuzhou urban area underwent questionnaire surveys and physical examinations. The Chi square test was used to compare intergroup differences in overweight and obesity prevalence. Multivariate Logistic regression analysis was employed to investigate the effects of prenatal and postnatal factors, as well as their interactions, on overweight and obesity in preschool children. Results: The prevalence of overweight and obesity among preschool children was 30.8%, with boys exhibiting a higher rate (37.0%) than girls (24.8%). Statistically significant differences in overweight and obesity prevalence were observed across age groups, genders, paternal pre pregnancy body mass index (BMI), paternal educational level, delivery mode, antibiotic use within the six months after birth, and rapid weight gain during infancy ( χ 2=5.08-17.67, all P <0.05). After adjusting for confounding factors such as age, gender, the only child, parental educational level and parental average monthly income, interaction analysis revealed that when the father was overweight or obese before conception, children delivered by caesarean section had an increased risk of overweight or obesity ( OR= 2.05 , 95%CI =1.02-3.39), and children with rapid weight gain during infancy also had an increased risk ( OR=2.05, 95%CI = 1.08 -3.88) (both P <0.05). Gender stratified analysis revealed that the interaction between paternal pre pregnancy BMI and mode of delivery on overweight and obesity was more pronounced among girls ( OR=4.00, 95%CI=1.51-10.58, P <0.05). While the interaction between the father s pre pregnancy BMI and rapid weight gain during infancy was more pronounced in boys ( OR= 2.85 , 95%CI=1.14-7.08, P <0.05). No significant interactions between prenatal and postnatal factors on overweight and obesity in preschool children were observed (all P >0.05). Conclusions Multiple prenatal and postnatal factors influence overweight and obesity in preschool children. Attention should be paid to mode of delivery and infant weight gain, particularly when the father is overweight or obese, to reduce the risk of overweight and obesity in preschool children.

Objective : To analyze the distribution characteristics of free water ( FW) and FW-corrected fractional anisotropy (FAt) in the white matter of the brain in patients with anti-N-methyl-D-aspartate receptor ( NMDAR) encephalitis and to explore their correlation with cognitive function． Methods : A total of 38 patients with anti- NMDAR encephalitis and 30 controls were recruited from three hospitals in Hefei．Diffusion tensor imaging data and neuropsychological assessment results were collected．Tract-Based Spatial Statistics was applied to compare group differences in FW and FAt across the whole brain white matter．Correlation analyses were further performed to ex- amine the relationships between FW/ FAt metrics and cognitive function． Results : Compared to the control group， patients with anti-NMDAR encephalitis showed significantly lower scores on the montreal cognitive assessment，im- mediate recall，delayed recall，and the verbal fluency test (all P＜0. 05) ，as well as significantly longer comple- tion times for color naming and word reading tasks in the stroop color word test (all P＜0. 05) ．Diffusion tensor im- aging analysis revealed significantly elevated FW and reduced FAt in widespread white matter regions in the patient group (all P＜0. 000 1) ．Further correlation analysis showed that increased FW was positively associated with the completion time of the color-switching condition in the color digital trail making test (P = 0. 044 ) and with the difference between color-switching and number sequencing conditions ( P = 0. 016 ) ，while negatively correlated with semantic fluency scores (P = 0. 002) ．Additionally，FAt was positively associated with delayed recall perform- ance (P = 0. 012) ，and negatively correlated with the completion times for color naming (P = 0. 018 ) and word reading (P = 0. 046) tasks in the SCWT． Conclusion Patients with anti-NMDAR encephalitis exhibit significantly elevated FW and significantly reduced FAt in white matter tracts，both of which are closely linked to cognitive im- pairment．

In recent years,the escalating risks of healthcare-associated infection(HAI)and the transmission of multidrug-resistant organisms have emerged as significant global public health challenges,posing a grave threat to medical care quality and safety.HAI prevention and control are confronted with issues such as pathogen transmis-sion complex routes,dynamic changes in infection risks of specific populations,and the lag in traditional monitoring methods.Traditional HAI management model relies on manual monitoring and information systems,presenting pre-dicaments such as low efficiency,fragmented data,and delayed warnings.Artificial intelligence(AI)technology in-tegrates electronic health records(EHRs),vital signs,and other clinical data to develop predictive models based on machine learning(ML)and deep learning(DL),and has enhanced multimodal data fusion and real-time dynamic analysis capabilities,demonstrating significant advantages in risk prediction,early diagnosis,and precision interven-tion of HAI.This paper systematically reviews the developmental trajectory,scientific achievements,and innovative practices of AI technology in HAI management,delves into existing bottlenecks such as data quality,algorithm relia-bility,and ethical norms,aiming to provide theoretical and practical references for establishing intelligent and pre-cise HAI prevention and control system.

Objective It aims to develop a digital maturity evaluation framework tailored for public hospitals in China to advance digital transformation and achieve high-quality development.Methods Through literature review,policy analysis,key informant interviews,and expert consultations,a preliminary conceptual framework for digital maturity in public hospitals was proposed.The framework's dimensions and key indicators were further refined and finalized through multiple rounds of consultation and validation with 30 experts.Results The findings indicate that the digital ma-turity of public hospitals in China encompasses three core dimensions:digital readiness,digital technology applica-tion,and data management capacity,along with 11 primary indicators.The evaluation framework has gained broad recognition from experts and scholars,demonstrating its effectiveness in identifying gaps in the digitalization process and enhancing hospitals'capacities in infrastructure,technological application,and data governance.Conclusion The study recommends that government authorities optimize resource allocation based on the framework,while public hospitals should strengthen digital planning and implementation.This framework provides practical guidance for ad-vancing the digital transformation of public hospitals in China.