ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

Background Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental and behavioral disorder in children, often diagnosed during school age. The etiology of ADHD remains unclear; however, existing studies suggest that environmental factors, such as exposure to triclosan (TCS), may be associated with the occurrence of ADHD-like symptoms in offspring. Nevertheless, relevant research in China remains limited. Objective To investigate the impact of early pregnancy TCS exposure on ADHD-like symptoms in 7-year-old children. Methods This study was based on the Shanghai Birth Cohort (SBC) and included 662 mother-child pairs. TCS concentrations in early pregnancy urine samples were measured using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Demographic information was collected via questionnaires and medical record abstraction. ADHD-like symptoms in 7-year-old children were first assessed using the Strengths and Difficulties Questionnaire (SDQ). Further differentiation of ADHD-like symptom subtypes (inattentive and hyperactive/impulsive) was conducted using the SNAP-IV, a clinically validated ADHD screening tool. Negative binomial regression models were applied to evaluate the associations between prenatal TCS exposure and hyperactive behavior (SDQ assessment) as well as ADHD-like symptom subtypes (SNAP-IV assessment) in 7-year-old children. Results The positive rate of TCS in early pregnancy urine samples was 91.39%, with median concentrations of 0.69 μg·L⁻¹ and 0.63 μg·g⁻¹ before and after the creatinine adjustment, respectively. The modeling results indicated that prenatal TCS exposure was associated with an increased risk of hyperactive symptoms (SDQ assessment) in 7-year-old children (RR=1.04, 95%CI: 1.02, 1.06); the stratified analyses by children sex revealed similar effects for both boys (RR=1.04, 95%CI: 1.02, 1.07) and girls (RR=1.04, 95%CI: 1.01, 1.07). Further analysis of ADHD-like symptom subtypes showed that prenatal TCS exposure increased the risk of inattentive symptoms (RR=1.03, 95%CI: 1.00, 1.05); the sex-stratified analyses indicated associations between TCS exposure and inattentive symptoms (RR=1.03, 95%CI: 1.00, 1.07) as well as hyperactive/impulsive symptoms (RR=1.04, 95%CI: 1.01, 1.08) in girls. Conclusion Prenatal TCS exposure is associated with an increased risk of ADHD-like symptoms in 7-year-old children, primarily contributing to the risk of the inattention subtype. The impact is more pronounced in girls.

Objective To analyze the distribution characteristics of traditional Chinese medicine(TCM)syndrome types in patients with osteoporosis and the distribution differences of clinical and serological indicators in TCM syndrome types.Meth-ods A total of 69 patients with osteoporosis were collected from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine and Qifu Hospital Affiliated to Jinan University.The general information,bone mineral density T value,fasting periph-eral venous blood in the morning were collected.The expression of telomerase protective factor 1(POT1),telomerase reverse transcriptase(TERT),serum 8-hydroxy-2'-deoxyguanosine(8-OHdG)and superoxide dismutase 2(SOD2)were detected by ELISA.Finally,the above data were statistically analyzed.Results There were significant differences in body weight,height,bone mineral density,POT1,TERT,and 8-OHdG among the four syndromes(P＜0.05).In terms of correlation,the relation-ship between bone mineral density and each parameter in different syndrome types was explored.The bone mineral density of qi stagnation and blood stasis syndrome was positively correlated with SOD2 value.There is a positive correlation between bone min-eral density and 8-OHdG in patients with Yin deficiency of liver and kidney.TERT was positively correlated with qi stagnation and blood stasis syndrome.Liver and kidney Yin deficiency syndrome was positively correlated with weight and bone mineral den-sity,and negatively correlated with TERT value.Weight was negatively correlated with qi and blood stasis syndrome.Conclusion In TCM syndrome differentiation of osteoporosis,there were statistical differences in weight,height,bone mineral density,ser-um POT1,TERT and 8-OHdG among Qi-stagnation and blood stasis,spleen-kidney Yang deficiency,liver-kidney Yin deficiency and Qi-blood-peace syndrome.In different syndrome types,serum SOD2 and 8-OHdG were the influencing factors of bone miner-al density.Serum TERT and 8-OHdG are the main factors affecting the dialectical classification of osteoporosis.

Objective:To study the clinical application and complications of umbilical arterial catheterization (UAC) in premature infants.Methods:From January 2021 to December 2022, premature infants with UAC successfully inserted in NICU of our hospital were enrolled. According to birth weight (BW), the infants were assigned into three groups: <1 000 g, 1 000~1 499 g and ≥1 500 g. The perinatal data, UAC usage, UAC-related complications and risk factors of UAC-related complications were retrospectively analyzed.Results:A total of 39 premature infants received UAC, with gestational age 29.3(27.3, 30.4) weeks and BW 1 100 (900, 1 310) g. The insertion length (IL) of UAC was calculated using the average value of two formulas: a, IL (cm) =4×BW (kg) +7; and b, IL(cm) =3×BW (kg)+9. The accuracy of tube end position was determined using chest/abdomen radiography. 30(76.9%) cases had accurate position, 6(15.4%) had higher position and 3(7.7%) had lower position. The proportion of appropriately positioned tube end in <1 000 g, 1 000~1 499 g and ≥1 500 g groups were 80.0%, 76.5% and 71.4%, respectively, without statistically significant differences ( P>0.05) .No significant differences existed among the three groups in UAC duration and UAC routinely removal rate ( P>0.05). 9 cases (23.1%) of UAC were removed for specific reasons, including 4 cases of arterial spasm, 2 cases of withdrawal of treatment, 1 case of tube end displacement, 1 case of abdominal distension and 1 case of death. 21 cases received 1 U/ml heparin (0.9%NaCl solution) 0.5~1 ml/h arterial infusion. 23.8% (5/21) had hypernatremia and the level of sodium became normal after reducing the concentration of NaCl solution. Arterial vasospasm occurred in 4 patients with skin color changes of one side of the lower extremities. After UAC removal, the skin color returned to normal. Conclusions:UAC is helpful and safe for preterm infants, however, its complications should be alerted to.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective To prepare a nano drug(PFOB@Lip-MMC)with liposome as the carrier,liquid perfluorooc-tyl bromide(PFOB)as core and mitomycin C(MMC)loading on the liposome shell and study its inhibitory effect on the proliferation of human pterygium fibroblasts(HPFs).Methods The thin film dispersion-hydration ultrasonic method was used to prepare PFOB@Lip-MMC and detect its physical and chemical properties.Cell Counting Kit-8,Cam-PI cell viability staining and flow cytometry were employed to detect the impact of different concentrations of PFOB@Lip-MMC on the via-bility of HPFs.DiI fluorescence labeled PFOB@Lip-MMC was used to observe the permeability of the nano drug to HPFs under a laser confocal microscope.After establishing HPF inflammatory cell models,they were divided into the control group(with sterile phosphate-buffered saline solution added),PFOB@Lip group(with PFOB@Lip added),MMC group(with MMC added),PFOB@Lip-MMC group(with PFOB@Lip-MMC added)and normal group(with fresh culture medi-um added)according to the experimental requirements.After co-incubation for 24 h,flow cytometer was used to detect the apoptosis rate of inflammatory cells,and the gene expression levels of interleukin(IL)-1β,prostaglandin E2(PGE2),tumor necrosis factor(TNF)-α and vascular endothelial growth factor(VEGF)in cells were analyzed by PCR.Results The average particle size and Zeta potential of PFOB@Lip-MMC were(103.45±2.17)nm and(27.34±1.03)mV,respec-tively,and its entrapped efficiency and drug loading rate were(72.85±3.28)％and(34.27±2.04)％,respectively.The sustained-release MMC of drug-loaded nanospheres reached(78.34±2.92)％in vitro in a 24-hour ocular surface environ-ment.The biological safety of PFOB@Lip-MMC significantly improved compared to MMC.In terms of the DiI fluorescence labeled PFOB@Lip-MMC,after co-incubation with inflammatory HPFs for 2 h,DiI fluorescence labeling was diffusely dis-tributed in the cytoplasm of inflammatory HPFs.The apoptosis rate of inflammatory HPFs in the PFOB@Lip-MMC group[(77.23±4.93)％]was significantly higher than that in the MMC group[(51.62±3.28)％].The PCR examination results showed that the gene transcription levels of IL-1 β,PGE2,TNF-α and VEGF in other groups were significantly reduced com-pared to the control group and PFOB@Lip group,with the most significant decrease in the PFOB@Lip-MMC group(all P＜0.05).Conclusion In this study,a novel nano drug(PFOB@LIP-MMC)that inhibited the proliferation of HPFs was successfully synthesized,and its cytotoxicity was significantly reduced compared to the original drugs.It has good bio-compatibility and anti-inflammatory effects,providing a new treatment approach for reducing the recurrence rate after pte-rygium surgery.

Objective:To establish a prediction model of risk factors for early Q-T interval prolongation after acute myocardial infarction (AMI), which helps prevent and reduce the occurrence of acute malignant events.Methods:This is a case-control study. A total of 100 patients with Q-T interval prolongation after AMI who received treatment at Heilongjiang Provincial Hospital from January 2018 to December 2022 were included in this study. An additional 100 patients without Q-T interval prolongation after AMI who concurrently received treatment in the same hospital were also included in this study. Two model groups, including model group 1 (with Q-T interval prolongation, n = 50) and model group 2 (without Q-T interval prolongation, n = 50), and two test groups, including test group 1 (with Q-T interval prolongation, n = 50) and test group 2 (without Q-T interval prolongation, n = 50), were designated. Logistic regression analysis was performed to construct a prediction model of risk factors for Q-T interval prolongation. The area under the receiver operating characteristic curve was determined to evaluate the prediction model. The value of the prediction model was validated in the test groups. Results:Multivariate logistic regression showed that female gender ( OR = 2.307, 95% CI: 0.09-0.91, P = 0.041) and heart failure ( OR = 3.087, 95% CI: 1.15-8.27, P = 0.025) were independent risk factors for early Q-T interval prolongation after AMI. The area under the receiver operating characteristic curve of the prediction model was 0.770, with a sensitivity of 84.0%, a specificity of 66.0%, the Jordan index of 0.44, and the corresponding optimal critical value of 0.43. This indicates good fit of the model. Conclusion:Female gender and heart failure are independent risk factors for early Q-T interval prolongation after AMI. The model constructed based on the above-mentioned risk factors fits well and has a high predictive value, which helps reduce the occurrence of early Q-T interval prolongation after AMI.

Objective To systematically review whether mirror therapy(MT)intervention can effectively improve upper extremity motor function and activities of daily living(ADL)in stroke patients;whether its improvement is affected by pa-tients'age and disease course;and whether MT's influencing factors,such as intervention period,time,and fre-quency,have a dosage effect on upper extremity motor function and ADL. Methods Seven databases were searched,including Embase,Web of Science,PubMed,Cochrane Library,Wanfang data,VIP and CNKI from establishment to April,2023,and randomized controlled trials of MT for upper extremity motor function and ADL in stroke patients were screened.Quality assessment was performed using Physiothera-py Evidence Database(PEDro).Meta-analysis was performed using RevMan 5.4.1,and network meta-analysis was performed using R software,reticulated meta-analysis tables and cumulative probability tables were drawn for ranked comparisons,and funnel plots were drawn to test for publication bias of the outcome indicators using Stata 17.0 software.GRADE was used to evaluate the quality of evidence for the outcome indicators. Results A total of 13 papers(532 patients)were included.The PEDro score ranged from 6 to 8.Most of the literature did not report the blinding completely or did not implement allocation concealment,which might have some limita-tions.MT could improve the scores of Fugl-Meyer Assessment-Upper Extremities(n = 466,MD = 6.05,95%CI 3.44～8.66,P<0.001),Barthel index(n = 230,MD = 9.95,95%CI 6.23～13.68,P<0.001)and Functional Inde-pendence Measure(n = 147,MD = 4.17,95%CI 2.61～5.72,P<0.001)in stroke patients.Network meta-analysis showed that MT was more effective in upper limb motor function intervention for stroke patients aged 40 to 59 years with a disease course less than three months;and an intervention period less than four weeks,single inter-vention time less than 30 minutes,intervention duration daily more than 30 minutes and intervention twice daily might optimize the effects on upper limb motor function. Conclusion MT is effective on upper limb motor function and ADL in stroke patients,and the effect on upper limb mo-tor function is affected by the age and disease course of the patients,as well as the period,time and frequency of intervention.

Objective:Operational efficiency and influencing factors of China's basic medical insurance system from 2020 to 2021 is conducted to provide reference for improving the operational efficiency and optimizing the input-output relationship.Methods:The super-efficiency SBM model based on unexpected output and the Malmquist index are used to measure the static and dynamic efficiency of resident medical insurance in 31 provinces in China,and Tobit regression analysis is employed to analyze the influencing factors.Results:The overall operational efficiency of resident medical insurance still needs improvement.The operational efficiency of resident medical insurance in the central and western regions is lower than that in the eastern region,and the gap is significant.Different levels and regions have differentiated main constraints on the operational efficiency of resident medical insurance.In terms of dynamic efficiency,the total factor productivity of resident medical insurance operation shows an increasing trend,mainly due to technological progress.In terms of influencing factors,the degree of aging,the level of medical expenses and the level of medical insurance supervision have a significant impact on the operational efficiency.Suggestions:Efforts should be made to bridge regional disparities,promote the equitable development of medical insurance,reasonably control the level of medical expenses,strengthen the supervision of medical insurance funds,and implement active aging policies.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.