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.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

Objective To obtain the monitoring measurement range of quality indicators of red blood cells,plasma and derivatives and leukocyte-reduced apheresis platelets provided by blood stations in Hebei province,explore the distribution of monitoring values and the change of monitoring level,so as to further strengthen the homogenization construction of quality control laboratories in blood stations in Hebei.Methods In 2023,the sampling data of 12 blood stations in Hebei from 2015 to 2022 were collected,scatter plots were made and the range markers were set,and the"mean±SD"line was taken as the upper limit and lower limit of the measurement range.In 2024,the monitoring values in 2023 were added,and the changes of two measurement ranges were compared to analyze the stability and overall level.Results Comparison of the measurement range from 2015 to 2022 and the measurement range from 2015 to 2023 showed that the standard deviation of the content of deleukocyte suspension of red blood cells-hemoglobin,washed erythrocyte-hemoglobin,washed erythrocyte-su-pernatant protein,cryoprecipitate coagulation factor-FⅧ,fresh frozen plasma-FⅧ,leukocyte-reduced apheresis platelets-leukocyte residue and leukocyte-reduced apheresis platelet-red blood cell concentration decreased from 8.132 to 7.993,6.252 to 6.104,0.273 to 0.267,57.506 to 56.276,0.920 to 0.892,0.653 to 0.644 and 2.653 to 2.603,respectively.The narrowing of the standard deviation range of the above items led to more concentrated monitoring values and reduced disper-sion.Comparison of the measurement range from 2015 to 2022 and the measurement range from 2015 to 2023 showed that the mean value of leukocyte residue of the deleukocyte suspension of red blood cells,hemoglobin content of the wash eryth-rocyte,protein content of supernatant of the wash erythrocyte,hemolysis rate of the wash erythrocyte,FⅧ content of the cryoprecipitate coagulation factor,plasma protein content of the fresh frozen plasma,FⅧ content of the fresh frozen plasma,platelet content of the leukocyte-reduced apheresis platelets changed from 0.362 to 0.476,44.915 to 44.861,0.280 to 0.283,0.137 to 0.142,133.989 to 133.271,60.262 to 60.208,1.301 to 1.277 and 3.036 to 3.033,respectively,and was closer to the national standard line,which reflects an increase in the number of unqualified monitoring values or values close to the national standard line in 2023.The long-term qualified rate of coagulation items was low,and no improvement has been ob-served.The stability of biochemical items has been enhanced but overall deviation has occurred,with the average value close to the national standard line.The possibility of subsequent testing failure has increased.The counting items showed no obvi-ous common characteristics.Conclusion The use of"mean±SD"in the analysis can visually display the distribution of mo-nitoring values of different items in Hebei,forming an indicator measurement range covering the past nine years.It shows the characteristics of each item,and provides reference for subsequent quality control laboratory data analysis of each blood sta-tions to takes active measures to improve the monitoring level.

Objective To explore the influencing factors of device-related pressure injuries (DRPI) in critically ill patients, construct a risk prediction model, and validate its effectiveness. Methods A retrospective analysis was conducted on the clinical data of 136 critically ill patients. Based on the occurrence of DRPIs, the patients were divided into occurrence group (32 patients) and non-occurrence group (104 patients). Univariate analysis and binary Logistic regression analysis were used to investigate the influencing factors of DRPIs, and a binary Logistic regression model was constructed. The Hosmer-Lemeshow test was used to assess the goodness of fit of the model, and the area (AUC) under the receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of the model.Additionally, the Bootstrap method was employed for internal validation of the model. Results Univariate analysis revealed statistically significant differences between the two groups in terms of age, diabetes, ICU stay duration, duration of non-invasive ventilation mask use, Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score, Braden scale score, use of vasoactive drugs, prone position ventilation, hemoglobin levels, and lactate levels (P < 0.05). Binary Logistic regression analysis indicated that age, diabetes, ICU stay duration, APACHE Ⅱ score, duration of non-invasive ventilation mask use, use of vasoactive drugs, prone position ventilation, lactate levels, Braden scale score, and hemoglobin levels were independent influencing factors for DRPIs in critically ill patients (P < 0.05). A binary Logistic regression model for predicting the risk of DRPIs in critically ill patients was constructed based on these independent factors. The overall prediction accuracy of the model was 99.26%. The Hosmer-Lemeshow goodness-of-fit test showed that the model had good fitness (χ² < 0.001, P>0.999). Internal validation using the Bootstrap method and ROC curve analysis showed that the AUC of the model for predicting DRPIs in critically ill patientswas 0.952, with a sensitivity of 87.5% and a specificity of 93.3%. Conclusion The risk prediction model for DRPIs in critically ill patients constructed in this study demonstrates good stability and predictive performance. It can assist clinical healthcare professionals in screening high-risk patients and formulating personalized intervention plans.

Background Per- and polyfuoroalkyl substances (PFAS) are categorized as persistent organic pollutants and commonly detected in humans, and their toxicity has attracted widespread attention. However, few studies have reported comparison of PFAS levels and potential factors between women pregnant using assisted reproduction technology (ART) and women pregnant naturally. Objective To analyze and compare serum concentrations and sociodemographic determinants of PFAS in pregnant women conceiving through ART and conceiving naturally from Shanghai. Methods Based on the China National Birth Cohort (CNBC) in Shanghai from 2017 to 2019, 333 pregnant women conceiving through ART and 689 pregnant women conceiving naturally were recruited during the same period as study subjects. The concentrations of 32 PFAS were measured in early-pregnancy serum of all pregnant women, and four PFAS with the highest co-exposure levels in both groups were included in the subsequent analysis. Multiple linear regression models were performed to evaluate the associations of sociodemographic factors with serum PFAS concentrations in the two groups respectively. Beta coefficients and 95% confidence intervals (CI) were exponentiated to calculate the ratio of the geometric mean (GM) of PFAS concentrations after each unit change in the independent variable. Results Perfluorooctanoic acid (PFOA), perfluorooctanesulfonic acid (PFOS), 6∶2 chlorinated polyfluoroethersulfonic acid (6∶2 Cl-PFESA), and perfluorohexanesulfonic acid (PFHxS) were four major PFAS in serum of pregnant women conceiving through ART and conceiving naturally, and the concentrations of PFOA, PFOS, and 6∶2 Cl-PFESA were higher in pregnant women conceiving through ART than in pregnant women conceiving naturally (P <0.05). The results of multiple linear regression analysis showed that age at pregnancy and household income were associated with serum PFAS levels in both groups. The serum concentrations of PFOS were higher in pregnant women aged ≥35 years old who conceiving through ART (GM ratio=1.26, 95%CI: 1.04, 1.54) and conceiving naturally (GM ratio=1.24, 95%CI: 1.08, 1.42) than pregnant women aged <30 years old respectively. Pregnant women conceiving through ART and conceiving naturally whose household annual income >300000 CNY had lower serum concentrations of PFOA [GM ratio (95%CI): 0.82 (0.72, 0.95) and 0.89 (0.81, 0.97), respectively] and PFHxS [GM ratio (95%CI): 0.66 (0.51, 0.86) and 0.77 (0.66, 0.90), respectively] than those women whose household annual income <200000 CNY. Additionally, pregnant women conceiving naturally with a graduate education or above had lower serum 6∶2 Cl-PFESA concentrations than women with an education below college (GM ratio: 0.81), and multiparous pregnant women conceiving naturally had higher serum concentrations of PFOS, 6∶2 Cl-PFESA, and PFHxS than primiparous pregnant women (GM ratio: 1.14, 1.25, and 1.27 respectively). Conclusion Although differences in serum PFAS levels are found between pregnant women conceiving through ART and women conceiving naturally in this study, maternal age and household income are common determinants of PFAS exposure levels in both populations. We find no special sociodemographic factors to affect PFAS concentrations of pregnant women conceiving through ART compared to pregnant women conceiving naturally. Further research is required to explore other potential factors.

Objective To comprehensively analyze the clinical outcomes of total cavopulmonary connection (TCPC) in the treatment of functional single ventricle combined with heterotaxy syndrome (HS). Methods A retrospective analysis was conducted on the patients with functional single ventricle and HS who underwent TCPC (a HS group) in Guangdong Provincial People's Hospital between 2004 and 2021. The analysis focused on postoperative complications, long-term survival rates, and identifying factors associated with patient survival. Early and late postoperative outcomes were compared with matched non-HS patients (a non-HS group). Results Before propensity score matching, 55 patients were collected in the HS group, including 42 males and 13 females, with a median age of 6.0 (4.2, 11.8) years and a median weight of 17.0 (14.2, 28.8) kg. Among the patients, there were 53 patients of right atrial isomerism and 2 patients of left atrial isomerism. Eight patients underwent TCPC in one stage. TCPC procedures included extracardiac conduit (n=39), intracardiac-extracardiac conduit (n=14), and direct cavopulmonary connection (n=2). Postoperative complications included infections in 27 patients, liver function damage in 19 patients, and acute kidney injury in 11 patients. There were 5 early deaths. The median follow-up time was 94.7 (64.3, 129.8) months. The 1-year, 5-year, and 10-year survival rates were 87.2%, 85.3%, and 74.3%, respectively. After propensity score matching, there were 45 patients in the HS group and 81 patients in the non-HS group. Compared to the non-HS group, those with HS had longer surgical and mechanical ventilation time, higher infection rates (P<0.05), and a 12.9% lower 10-year survival rate. Multivariate Cox regression analysis identified asplenia was a risk factor for mortality (HR=8.98, 95%CI 1.86-43.34, P=0.006). Conclusion Compared to non-HS patients, patients with HS have lower survival rates after TCPC, and asplenia is an independent risk factor for the survival of these patients.

Objective To evaluate the prognostic value of radiation-induced lymphocytopenia in the survival of patients with primary hepatocellular carcinoma receiving radiation therapy. Methods The clinical data of 98 patients with unresectable primary hepatocellular carcinoma who received radiotherapy were retrospectively analyzed. The minimum absolute lymphocyte count (min ALC) was graded in accordance with CTCAE V4.0. The optimal threshold of min ALC for prognosis was calculated by using the receiver operating characteristic curve, and the correlation of min ALC with clinical characteristics and dosimetry parameters was analyzed. The Kaplan-Meier method was employed to analyze the survival of patients with different levels of min ALC. Univariate and multivariate Cox proportional regression models were applied to analyze prognostic factors. Results The baseline and min ALC of 98 patients during radiotherapy were 1.52×10⁹/L and 0.45×10⁹/L, respectively(P<0.001). The optimal cut-off value of min ALC for the prediction of the one-year survival rate was 0.38×10⁹/L. GTV, the mean dose of the liver and spleen, the V5 and V10 of the liver and spleen, and the V15 of the spleen were correlated with min ALC, and the V5 of the liver was an independent predictor of min ALC. The overall survival of patients with high min ALC was higher than that of patients with low min ALC. Independent prognostic factors were min ALC≤0.38×10⁹/L (HR=0.515, P=0.024), min ALC≥grade 3 (HR=0.576, P=0.032), tumor thrombus in the portal/vena cava, Child-Pugh grade A, increase of ≥2 points in the Child-Pugh score after radiotherapy, and received more than two other therapies. Conclusion Min ALC≤0.38×10⁹/L and min ALC≥grade 3 have independent prognostic value in patients with unresectable hepatocellular carcinoma receiving radiotherapy.

Acute kidney injury （AKI） is a clinical syndrome characterized by a rapid decline in renal function over a short period due to various etiologic factors. If left untreated， AKI can progress to chronic kidney disease （CKD） or even end-stage renal disease （ESRD）. Although continuous renal replacement therapy （CRRT） can manage severe AKI， effective pharmacological treatments for AKI remain largely unavailable. Chinese medicine， with its multi-target and multi-pathway approaches， has accumulated substantial theoretical and practical knowledge in treating AKI and related complications. Rehmanniae Radix is a commonly used Chinese medicinal， known for its functions in clearing heat， cooling blood， nourishing yin， and promoting fluid production. The primary active ingredients of Rehmanniae Radix include catalpol， acteoside， and aucubin. In this study， we summarized recent research on the effect of the active ingredients of Rehmanniae Radix in preventing and treating AKI. We found that the key mechanisms underlying its anti-AKI effects include amelioration of inflammation， alleviation of oxidative stress， and inhibition of apoptosis. Additionally， the antifibrotic properties of the active ingredients of Rehmanniae Radix suggest its potential in slowing CKD progression. We reviewed the mechanisms of Rehmanniae Radix in treating AKI and its antifibrotic effects to provide a scientific basis for developing new AKI drugs， promoting the utilization of Rehmanniae Radix resources， and reducing the transition from AKI to CKD.