Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Purpose/Significance To construct a Chinese medical knowledge Q&A corpus dataset as a standardized evaluation bench-mark for large language models(LLMs)in the medical domain,so as to improve the accuracy and efficiency of LLMs in handling Chinese medical questions.Method/Process Chinese medical paper knowledge,medical terminology explanations and supplementary questions are acquired from the Chinese medical licensing examination,and open-source Chinese medical Q&A datasets are encompassed in the developed Q&A datasets.Result/Conclusion The Chinese medical knowledge Q&A corpus datasets enrich the sources of existing datasets and promote the objective and comprehensive quantitative evaluation of large models in the medical field.In the near future,additional data such as electronic medical records and those from online health communities will be used to strengthen the support of artificial intelli-gence for the Healthy China strategy.

AIM:To explore the effect of high aspherical lenticule on controlling low myopia.METHODS: Prospective study. A total of 100 patients aged 7 to 12 years old with low myopia who visited our hospital from May 1 to 31, 2022 were collected. They were divided into two groups with 50 cases in each group according to the wishes of patients. The control group was given single vision glasses after optometry, while the study group was given high aspherical lenticule. The myopia progression(absolute value), axial length(AL)growth, transition rate to moderate myopia, and AL negative growth rate over 6 mo and 1 a were compared between the two groups.RESULTS: The myopia progression and the AL growth of study group was lower than that of the control group after 6 mo and 1 a(all P<0.001).The negative growth rate of AL after 6 mo of treatment was significantly higher than that of the control group(P<0.001). The transition rate to moderate myopia between the two groups was not statistically significant(P=0.62); while the transition rate to moderate myopia in the study group was significantly lower than that in the control group after wearing lens for 1 a(P<0.001), and there was no statistically significant difference in AL negative growth rate between the two groups(P=0.12). Compare with single vision glasses, high aspherical lenticule achieved an 88.2% control rate for low myopia progression over 6mo and a 90.0% control rate of AL growth. The control rate for low myopia to moderate myopia was 66.7%; while the control rate of myopia progression growth was 75.6% after wearing lens for 1a, the control rate of AL growth was 69.2%, and the control rate of the transition rate to moderate myopia was 88.9%.CONCLUSION: For children and adolescents aged 7 to 12 with low myopia, high aspherical lenticule was more effective than single vision glasses in controlling myopia, making it one of the optimal choices for myopia control.

With the increasing burden of hypertension in Chinese adults， the detection rate of hypertension among children and adolescents continued to rise， drawing increasing attention to the impact of pubertal timing on blood pressure. In recent years， many scholars have evaluated the association between pubertal development and blood pressure at different stages using various methods of assessing pubertal timing. To understand the correlation between pubertal timing and blood pressure in adolescents， this study reviews the associations between pubertal timing and blood pressure and their underlying mechanisms. The relationship between earlier female pubertal development and the risk of hypertension in adulthood shows positive， negative， and U-shaped correlations， with varying results. Earlier female pubertal development may lead to a higher detection rate of hypertension during adolescence. Most of the studies focus on the correlation between pubertal timing and adult blood pressure， with less research on adolescent blood pressure， indicating a need for further research to reveal underlying patterns.

Objective:To develop the Pregnancy Weight Gain Control Intention Scale and test its reliability and validity.Methods:This is a cross-sectional study. The item pool of the scale was constructed based on the theory of planned behavior, literature review and semi-structured interview, and the draft of the scale was formed through expert correspondence and pre-investigation. From February to April 2022, a total of 300 pregnant women from 2 ClassⅢ Grade A hospitals in Zhenjiang were selected as research objects by convenience sampling method, and the scale was further revised through item analysis and exploratory factor analysis. From May to July 2022, a formal investigation was conducted among 350 pregnant women from 2 Class Ⅲ Grade A hospitals in Zhenjiang, and confirmatory factor analysis and reliability test were used to evaluate the reliability and validity. Two weeks after the completion of the survey, 30 pregnant women were selected for retest reliability test.Results:In the first stage of the survey, a total of 300 questionnaires were distributed, and 282 valid questionnaires were effectively collected, with an effective recovery rate of 94.00% (282/300). A total of 350 questionnaires were distributed in the second phase of the survey, and 324 valid questionnaires were effectively collected, with an effective recovery rate of 92.57% (324/350). The formal scale includes 3 dimensions and 20 items, namely behavior attitude, subjective norm and perceived behavior control. Three common factors were extracted by exploratory factor analysis, and the cumulative variance contribution rate was 80.198%. The results of confirmatory factor analysis showed that the scale structure model fit was well. The scale-level content validity index was 0.980, the item-level content validity index was 0.830-1.000, the Cronbach's α coefficient of the scale was 0.917, the split-half reliability coefficient was 0.709, and the retest reliability coefficient was 0.860.Conclusions:The Pregnancy Weight Gain Control Intention Scale has good reliability and validity, and can be used as an evaluation tool to evaluate the weight gain control intention of pregnant women.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

ObjectiveTo explore the possible mechanism of Tongdu Xingshen needling method （通督醒神针刺法） on post-stroke cognitive impairment. MethodsSD rats were randomly divided into a normal group （n=12）， a sham surgery group （n=12）， a model group （n=12）， and a electroacupuncture group （n=13）. The rats in the model group and electroacupuncture group were subjected to the wire bolus method to establish the rats model with learning memory impairment after cerebral ischaemia-reperfusion. After successful modelling， the rats in the electroacupuncture group were given electroacupuncture interventions at “Shenting （GV 24）” and “Baihui （GV 20）” once a day for 30 minutes for 14 days. The other three groups did not receive other interventions but grasp. A 5-day localisation navigation experiment was conducted on the 9th day of intervention， and a spatial exploration experiment was conducted on the 14th day of intervention to evaluate the learning and memory abilities of the rats. After the spatial exploration experiment， hippocampal tissues were taken from each group of rats， and the changes in the volume of cerebral infarction were observed by TTC staining； the changes in the morphology of pyramidal neurons and the density of dendritic spines in the CA1 area of the hippocampus were observed by Golgi staining； protein immunoblotting was used to detect the relative protein expression of the subunits of the α-amino-3-carboxy-5-methylisoxazole-4-propionic acid （AMPA） receptor including glutamate receptor 1 （GluR1）， glutamate receptor 2 （GluR2）， glutamate receptor 3 （GluR3） and auxiliary proteins TARPγ2， TARPγ8 in hippocampal tissues of rats in each group； the real-time fluorescence quantitative PCR was used to detect GluR1， GluR2， GluR3 mRNA levels in the hippocampal tissues of rats. ResultsIn the localisation navigation experiment， compared with the normal group and sham surgery group， the escape latency and total distance of rats in the model group were significantly extended （P＜0.05） at day 1， 2， 3， 4， and 5； and the escape latency and total distance of rats in the electroacupuncture group tended to be significantly shorter than those in the model group （P＜0.05）. In the spatial exploration experiment， compared with the normal group and the sham surgery group， the number of rats crossing the platform in the model group was significantly reduced （P＜0.05）， and the number of crossings of the platform in the electroacupuncture group increased significantly （P＜0.05）. The results of TTC staining showed that the volume of cerebral infarction increased clearly in the model group compared with the sham surgery group （P＜0.05）， and apparently decreased in the electroacupuncture group compared with the model group （P＜0.05）. Golgi staining showed that the number of dendritic branches of pyramidal neurons and dendritic spines in hippocampal CA1 region significantly decreased in the model group compared with the normal group and the sham surgery group （P＜0.05）. The number of dendritic branches of pyramidal neurons and the density of dendritic spines in hippocampal CA1 region significantly increased in the electroacupuncture group compared with the model group （P＜0.05）. The protein relative expression levels of GluR1， GluR2， GluR3， TARPγ2 and TARPγ8， and the mRNA levels of GluR1， GluR2 and GluR3 in hippocampus decreased in the model group compared with the normal group and the sham surgery group （P＜0.05）. The protein relative expression levels of GluR1， GluR2， GluR3， TARPγ2 and TARPγ8， and the mRNA levels of GluR1， GluR2 and GluR3 in hippocampus increased in the electroacupuncture group compared with model group （P＜0.05）. ConclusionThe Tongdu Xingshen needling method can improve learning memory impairment after cerebral ischaemia-reperfusion， which may be related to up-regulation of the expression of AMPA receptor and their auxiliary protein TARP， and promoting the synaptic plasticity of hippocampal tissues.

Abstract With the increasing prevalence of overweight and obesity in children, the influence of overweight and obesity on pubertal timing has attracted the attention of scholars. This paper reviewed the correlation and mechanism between childhood obesity and pubertal timing, especially for earlier pubertal timing, and found that the regulation of hypothalamic-pituitary-gonadal axis function by nutrition and metabolic signals might under lie those associations. Obesity in girls was positively correlated with early pubertal timing, while the conclusions in boys were inconsistent. Overweight in boys was related to early pubertal timing, obesity in boys could lead to both earlier and later onset of puberty, which warrents further investigation.

Objective To investigate the clinical effect of direct-acting antiviral agent (DAA) in the treatment of chronic hepatitis C (CHC) patients with thrombocytopenia and its effect on platelet count (PLT). Methods A retrospective analysis was performed for 83 CHC patients with thrombocytopenia (PLT < 150×10 9 /L) who received the DAA treatment regimen without interferon for 12-24 weeks in Tianjin Third Central Hospital from April 2018 to March 2019, and the changes in virologic response, liver function parameters, PLT, and liver stiffness measurement (LSM) were evaluated at the end of treatment (EOT) and at week 12 after EOT. Quantitative data accord with normal distribution were compared by repeated measures ANOVA. Normal transformation was performed before the comparison between skewed data, then repeated measures ANOVA was carried out. A logistic regression analysis was used to investigate the predictive factors for PLT elevation, and the receiver operating characteristic (ROC) curve was plotted to analyze the value of LSM in predicting PLT elevation after treatment. Results Among the 83 CHC patients with thrombocytopenia, 61.4% had liver cirrhosis, and the rate of sustained virologic response at week 12 after the end of treatment (SVR12) was 98.8%. From baseline to EOT and SVR12, the patients had significant reductions in the serum levels of aspartate aminotransferase, alanine aminotransferase, gamma-glutamyl transpeptidase, total bilirubin, and globin, a significant increase in the serum level of albumin, and a significant reduction in LSM (all P < 0.05). For all patients, PLT at EOT and SVR12 was significantly higher than that at baseline [EOT vs baseline: (110.4±44.6)×10 9 /L vs (97.8±33.2)×10 9 /L, P < 0.01; SVR12 vs baseline: (109.0±47.7)×10 9 /L vs (97.8±33.2)×10 9 /L, P < 0.01]. At SVR12, there were significant differences in the proportion of patients with liver cirrhosis, baseline LSM, and baseline white blood cell count between the PLT elevation group and the non-PLT elevation group (all P < 0.05). The multivariate logistic regression analysis showed that LSM was an independent predictive factor for significant PLT elevation after DAA treatment (odds ratio=0.929, 95% confidence interval: 0.864-0.999, P < 0.05). Baseline LSM had an area under the ROC curve of 0.644 in predicting PLT elevation, with a sensitivity of 81.0% and a specificity of 48.6% at a cut-off value of 20.15 kPa. The patients with PLT > 100×10 9 /L at baseline had a greater increase in PLT( P < 0.05). Conclusion CHC patients with thrombocytopenia have significant improvements in liver function and LSM after receiving DAA treatment and obtaining SVR12, and baseline LSM is an independent predictive factor for PLT elevation. There is a significant increase in PLT from baseline to EOT and SVR12.