ObjectiveTo develop a full-process data platform of renal rehabilitation, diagnosis and quality control information. MethodsA hierarchical architectural design was proposed, adhering to clinical pathway models and standardized data protocols. The platform comprehensively covered assessment, intervention, follow-up and quality control for maintenance hemodialysis (MHD) patients. By integrating multidisciplinary resources and standardizing rehabilitation workflows, it delivered standardized and intelligent rehabilitation services. ResultsThe platform achieved standardized and intelligent management of rehabilitation services, effectively improved the physiological function, psychological state and quality of life convenience for MHD patients, while significantly reduced the economic and care burden on patients' families and society. ConclusionThe rehabilitation service model based on a full-process data platform may provide scientific and systematic support for MHD patients.

Objective: The efficacy of antidepressants is influenced by a combination of genetic, individual, and environmental factors. This study aimed to investigate the association between the miR-182 rs76481776 polymorphism and the response to antidepressant treatment in major depressive disorder (MDD) patients, and its underlying molecular mechanisms. Methods: This study enrolled 180 MDD patients and 180 healthy controls. The rs76481776 genotype was determined using TaqMan-based qPCR. The severity of depression and treatment response were assessed using the Hamilton Depression Rating Scale (HAMD). The expression of miR-182 and BDNF was measured using RT-qPCR. The regulatory relationship between miR-182 and BDNF was confirmed through a luciferase reporter gene assay. The correlation between miR-182 and BDNF expression was evaluated using the Pearson correlation coefficient. Results: The T allele of rs76481776 was a significant risk factor for MDD (OR = 2.182, 95% CI: 1.424−3.345, p ＜ 0.001) and was significantly associated with higher baseline scores on the HAMD. Moreover, individuals carrying the T allele (CT/TT genotype) exhibited a significantly poorer response to antidepressant treatment and a lower remission rate within 12 months compared to those with the CC genotype (p ＜ 0.05). Mechanistically, miR-182 was highly expressed in patients with MDD (p ＜ 0.05), and its expression was even higher in T allele carriers (p ＜ 0.05). miR-182 could directly target and suppress BDNF, leading to decreased BDNF expression in MDD patients, and its expression was significantly and inversely correlated with BDNF expression. Conclusion The T allele of rs76481776 diminished the therapeutic efficacy of antidepressants by up-regulating miR-182 expression and subsequently suppressing BDNF expression.

The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

OBJECTIVE To investigate the clinical efficacy and safety of Zhengxintai granules as in the treatment of microvascular angina （MVA） following percutaneous coronary intervention （PCI） in patients with acute ST-segment elevation myocardial infarction （STEMI） and qi deficiency and blood stasis syndrome. METHODS Patients with STEMI and qi deficiency and blood stasis syndrome who underwent PCI and developed MVA and were admitted to the Jinan Fourth People’s Hospital （Jinan Cardiovascular Hospital） from March 2022 to March 2025 were selected， they were randomly divided into the control group and the observation group according to a random number table， with 76 cases in each group. Patients in the control group received conventional Western medicine treatment combined with a placebo， while patients in the observation group received Zhengxintai granules （5 mg per dose， three times daily， for 8 weeks） in addition to conventional Western medicine treatment. The clinical efficacy [including the total effective rate of traditional Chinese medicine （TCM） syndrome improvement and the total effective rates of Western clinical efficacy] was compared between the two groups. The following indicators were detected before and after treatment： TCM syndrome scores， angina pectoris episodes [daily attack frequency， duration per attack， Visual Analogue Scale （VAS） score]， cardiac function indicators [lactate dehydrogenase （LDH）， N-terminal pro-B-type natriuretic peptide （NT-proBNP）， left ventricular end-diastolic dimension （LVEDD）， left ventricular end-systolic dimension （LVESD）， left ventricular ejection fraction （LVEF）， cardiac output （CO）， fractional shortening （FS）]， coagulation function indicators [thrombin time （TT）， prothrombin time （PT）， fibrinogen （FIB）]， fibrinolytic marker （D-dimer）， vascular endothelial function indicators [vascular endothelial growth factor （VEGF）， nitric oxide （NO）， endothelin-1 （ET-1）] and myocardial microcirculation hemodynamic indicators [end-diastolic velocity （EDV）， peak systolic velocity （PSV）， resistance index （RI）， pulsatility index （PI）]. The quality of life [Seattle Angina Questionnaire （SAQ） score] and the incidence of adverse reactions were also compared between the two groups. RESULTS There was no patient dropout during the entire course of the study. The total effective rates of improvement in TCM syndromes and the total effective rates of Western clinical efficacy in the observation group were significantly higher than those in the control group （93.42% vs. 82.89%， 94.74% vs. 84.21%， P＜0.05）. Before the treatment， the comparison of each examination indicator between the two groups showed no statistically significant differences （P＞0.05）. Compared with before treatment， the TCM syndrome scores， the number of daily angina pectoris attacks and the duration of each attack， the VAS scores， LDH， NT-proBNP， FIB， D-dimer， ET-1 levels， LVEDD， LVESD， RI and PI after treatment in both groups were significantly reduced， shortened or decreased （P＜0.05）； VEGF and NO levels， LVEF， CO， FS， TT， PT， EDV， PSV， and the standard scores of five dimensions including angina pectoris stability， as well as the total scores of SAQ， all significantly increased or prolonged （P＜0.05）. Furthermore， the improvements in the aforementioned indicators （except for LVEF） in the observation group were significantly greater than those in the control group （P＜0.05）. There was no statistically significant difference in the total incidence of adverse reactions between the two groups （P＞0.05）. CONCLUSIONS Zhengxintai granules， when used as an adjunct to conventional Western medicine， can significantly alleviate the related symptoms of MVA in STEMI patients with qi deficiency and blood stasis syndrome after PCI， repair damaged cardiac function， restore the balance of the coagulation-fibrinolysis system， improve vascular endothelial function and myocardial microcirculation perfusion， and significantly enhance the quality of life of patients

Objective:To analyze the diagnostic value of video-electroencephalography(VEEG)combined with C-reactive protein(CRP)and procalcitonin(PCT)in infectious diseases of the central nervous system with convulsions.Methods:This study included 100 pediatric patients with convulsions who were suspected as central nervous system infection at Bengbu First People's Hospital from May 2022 to May 2024.VEEG and laboratory tests were performed on them.These patients were divided into the infection group(36 cases)and the non-infection group(64 cases)according to whether they were judged as central nervous system infection by using testing cerebrospinal fluid.The abnormal situation of VEEG test,CRP and PCT levels of two groups were compared,and the consistency between the diagnostic result of VEEG combined with CRP and PCT,and the tested result of cerebrospinal fluid was further analyzed.The receiver operating characteristic(ROC)curve was adopted to analyze the diagnostic efficiency of VEEG combined with CRP and PCT.Results:In 36 pediatric patients of infection group,2 cases(5.56%)were within normal range of VEEG examination,and 11 cases(30.56%)were at cutoffvalue,and 23 cases(63.89%)were abnormal.In 64 pediatric patients of non-infection group,54 cases(84.38%)were normal,and 6 cases(9.38%)were within normal range,and 3 cases(4.68%)were at cutoffvalue,and 1cases(1.56%)were abnormal.The abnormal results of the infection group were significantly higher than those of the non-infection group(Z=8.81,P＜0.05).The CRP and PCT levels of infection group were significantly higher than those of non-infection group(t=6.859,5.410,P＜0.05).There was higher consistency between the diagnosis of VEEG combined with CRP and PCT,and the tested result of cerebrospinal fluid(Kappa=0.867).The ROC analysis showed that the AUC value,sensitivity and specificity of VEEG combined with CRP and PCT in diagnosing the central nervous system infection with convulsions were respectively 0.963,86.11%and 98.44%,which were higher than those of the single VEEG diagnosis.Conclusion:There are significant differences in VEEG abnormalities,CRP and PCT levels between pediatric patients with central nervous system infection with convulsions,and pediatric patients without central nervous system infection with convulsions.The diagnosis of applying VEEG combined with CRP and PCT has higher diagnostic efficiency in clinical work.

Objective To establish an expert consensus on the management of low anterior resection syndrome(LARS)in patients with rectal cancer post-surgery(hereinafter referred to as"consensus"),aiming to standardize the related work of medical institutions in the context of post-operative LARS.Methods A comprehensive search of domestic and international databases was conducted to collect guidelines,expert consensuses,systematic reviews,evidence summaries,and original research related to post-operative LARS in rectal cancer published from the establishment of the databases until August 2024.Based on clinical practice experience,a preliminary draft of the"consensus"was formed.From September to November 2024,22 experts were invited to participate in 2 rounds of expert consultations,during which the draft content was revised and improved,and the final version of the"consensus"was determined through expert validation.Results A total of 22 experts responded,achieving a response rate of 100％.The effective recovery rate of the consultation questionnaires in both rounds was 100％,with an expert authority coefficient of 0.89,a judgment coefficient of 0.97,and a familiarity degree of 0.84.The Kendall harmony coefficients for the 2 rounds of expert consultations were 0.122 and 0.136,respectively(P＜0.001).This consensus covers 5 main aspects:definition,assessment,prevention,treatment,and follow-up management of LARS.Conclusion This consensus demonstrates a high level of scientific rigor and can provide a strong reference for clinical nursing personnel in the specialized care of rectal cancer patients with post-operative LARS.

Objective To investigate the status of perceived uncertainty in the process of re-pregnancy in patients with recurrent abortion,and to systematically explore the influencing factors based on the health ecology model,to inform a reduction in the level of perceived uncertainty about their re-pregnancy and improve their quality of life.Methods A convenience sampling method was used to investigate 260 patients with recurrent spontaneous abortion during re-pregnancy from 2 reproductive clinics of a tertiary A hospital in Suzhou,from December 2023 to June 2024,and they were investigated by a self-designed general data questionnaire,Intolerance of Uncertainty Scale-12,Generalized Anxiety Disorder Scale and Simple Coping Style Questionnaire.The single factor analysis and multiple linear regression methods were used to analyze the influences factors of perceived uncertainty in patients with recurrent spontaneous abortion during re-pregnancy.Results A total of 256 valid questionnaires were collected,with a recovery rate of 98.5％.The score of intolerance of uncertainty in patients with recurrent spontaneous abortion during re-pregnancy was(35.18±9.23).Multiple linear regression analysis found that average monthly family income,residence,history with assisted reproductive therapy,anxiety and coping were the factors influencing the feeling of perceived uncertainty in patients with recurrent spontaneous abortion during re-pregnancy(P＜0.05).Conclusion The level of perceived uncertainty in patients with recurrent spontaneous abortion during re-pregnancy is at a medium level.Medical workers should pay attention to the early identification of the perceived uncertainty in patients,enhance the psychological support for patients,and improve their mental health.

Objective:To understand the relationship between sleep duration and cardiovascular and metabolic comorbidities (CMM) in middle-aged and elderly people in China.Methods:This study was a prospective cohort study, based on the data of China Health and Retirement Tracing Survey (CHARLS) from 2011 to 2015, and included middle-aged and elderly people aged≥45 years in the cohort study. Age, gender, marital status, residence, education, smoking status, alcohol status, body mass index, history of diabetes, history of dyslipidemia, history of hypertension, history of stroke, history of heart disease, history of mental illness, depression scale score were collected. Multivariate logistic regression was used to analyze the association between daily sleep duration and the risk of CMM onset and to construct four models with stepwise adjusted covariates. A stratified analysis was established based on demographic factors, lifestyle factors, metabolic factors, cardiovascular and cerebrovascular factors, and psychological factors. Meanwhile, a subgroup analysis was established according to different combinations of cardiovascular and metabolic diseases to explore the association between sleep length and the risk of CMM in different populations.Results:A total of 297 (4.4%) of the 6 788 included participants experienced CMM. In the multivariate logistic regression, the RR value (95% CI) for the risk of CMM for>9 h was 1.99 (1.86-2.08) and 1.78 (1.64-1.92), respectively (all P<0.001). The stratified analysis showed that the risk of CMM incidence between sleep duration<7 h and>9 h was associated in people with different age, sex, residence, smoking status, drinking status, body mass index, hypertension, hypertension, diabetes, heart disease, stroke, dyslipidemia, and depression (all P<0.05). Subgroup analysis showed that sleep duration<7 h with both diabetes, heart disease and stroke had the highest risk of CMM ( RR=1.95, 95% CI: 1.65-2.14). Conclusion:In the middle-aged and elderly group in China, there is a U-shaped association between sleep duration and CMM, that is, insufficient or too long sleep duration throughout the day is related to the increased risk of CMM.

Objective:To analyze the prevalence and influencing factors of arteriosclerosis in different examination items in health check-up population.Methods:It was a cross-sectional study. A total of 4 479 subjects who underwent fundus, carotid artery color ultrasound and arteriosclerosis detector examinations in the Health Management Center at Tianjin Medical University General Hospital from January to December 2019 were selected as the study objects. The data including age, gender, family history and biochemical indicators were collected. The detection outcomes of arteriosclerosis and the distribution in different age and gender subgroups were analyzed. Kappa consistency test was used to analyze the consistency of different examination items of arteriosclerosis examination. The multiple logistic regression model was used to analyze the influencing factors of different examination items of arteriosclerosis detection. Results:Among the 4 479 subjects included in the analysis, 2 450 were male and 2 029 were female, with a mean age of (44.48±8.12) years. Arteriosclerosis was detected in one examination item in 1 167 cases (26.05%), 1 042 cases (23.26%) in two examination items, and 617 cases (13.78%) in three examination items, respectively. Among patients aged ≤40 years, 149 cases (18.91%) were detected with arteriosclerosis. In the age group of 40<-60 years, arteriosclerosis was detected in 2 660 patients (72.40%). All patients >60 years old exhibited arteriosclerosis, with 16 cases (94.12%) showing ≥2 items of arteriosclerosis. The results of fundus and carotid artery color Doppler ultrasound, fundus and arteriosclerosis detector, carotid artery color Doppler ultrasound and arteriosclerosis detector all demonstrated moderate consistency ( Kappa=0.32, 0.34, 0.24; all P<0.01). Logistic regression analysis revealed that the age ( OR=2.07, 95% CI: 1.97-2.17), male ( OR=1.60, 95% CI: 1.14-2.23), body mass index ( OR=1.10, 95% CI: 1.05-1.15), and systolic blood pressure ( OR=1.02, 95% CI: 1.01-1.03) were positively correlated with fundus arteriosclerosis (all P<0.05). Similarly, age ( OR=1.13, 95% CI: 1.12-1.14), male ( OR=2.53, 95% CI: 2.07-3.09), systolic blood pressure ( OR=1.02, 95% CI: 1.01-1.03), and low-density lipoprotein cholesterol ( OR=1.61, 95% CI: 1.16-2.23) were positively correlated with cervical arteriosclerosis, while high-density lipoprotein cholesterol ( OR=0.48, 95% CI: 0.32-0.72) was negatively correlated with cervical arteriosclerosis (all P<0.05). Furthermore, age ( OR=1.09, 95% CI: 1.08-1.11), male ( OR=1.55, 95% CI: 1.25-1.92), systolic blood pressure ( OR=1.08, 95% CI: 1.07-1.09), diastolic blood pressure ( OR=1.02, 95% CI: 1.00-1.03), postprandial blood glucose ( OR=1.09, 95% CI: 1.03-1.15), homocysteine ( OR=1.02, 95% CI: 1.00-1.03), and fibrinogen ( OR=1.26, 95% CI: 1.04-1.52) were positively correlated with systemic arterial stiffness (all P<0.05). Conclusions:The detection rates of arteriosclerosis in different examination items among the health check-up population vary. Age, male gender and systolic blood pressure are positive correlation factors for the three detection items of arteriosclerosis. For the examinees with aggregated risk factors, the multi-site and combined screening mode has certain significance for the early diagnosis and screening of arteriosclerotic diseases.

Objective:To analyze the detection status and its influencing factors of ovarian-adnexal masses in the physical examination population based on the Ovarian-Adnexal Imaging Reporting and Data System (O-RADS) of the American College of Radiology.Methods:This cross-sectional study retrospectively analyzed the clinical data of 24 316 physical examination participants who underwent gynecological color Doppler ultrasound examinations at the Health Management Center of Tianjin Medical University General Hospital from January to December 2021. The subjects were classified and followed-up according to O-RADS, and the detection rate and malignancy rate of ovarian-adnexal masses in different classifications were compared. According to O-RADS classification criteria, the physical examination population were divided into healthy control group (without ovarian-adnexal masses and O-RADS 1 class, 23 188 cases), benign group (O-RADS 2 class, 946 cases) and malignant group (O-RADS 3-5 class, 182 cases). The basic information of the three groups were compared, including age, body mass index (BMI), menopausal status, marital status, smoking history, drinking history, physical exercise, complete blood count, blood glucose, blood lipids, tumor markers, etc. The logistic regression was used to analyze the factors affecting the detection of ovarian-adnexal masses.Results:A total of 24 316 individuals were included, 1 678 with ovario-adnexal masses were screened, among the cases, there were 550 normal premenopausal ovaries (32.78%), and 1 128 cases were confirmed with pathological masses (67.22%). Of the 318 cases with follow-up records, the malignancy rate for O-RADS 4 class was 50%, and for O-RADS 5 class, it was 100%, according to the follow-up results. The age ( OR=1.320, 95% CI: 1.055-1.653), BMI ( OR=0.972, 95% CI: 0.954-0.989), carbohydrate antigen 125(CA125) ( OR=1.090, 95% CI: 1.023-1.161), postmenopausal ( OR=0.919, 95% CI: 0.892-0.947) and married and cohabiting ( OR=0.921, 95% CI: 0.895-0.949) were positively correlated with risk of ovarian-adnexal masses (all P0.05). Conclusions:The O-RADS classification system has high application value in evaluating the malignant risk of ovarian-adnexal masses; the age, BMI, CA125 levels, menopausal status, and marital status are significant influencing factors for the detection of ovarian-adnexal masses.