Driven by policy initiatives promoting the integration of digital-intelligent technologies with primary healthcare and the digital transformation of traditional Chinese medicine (TCM), Smart TCM has emerged as a pivotal strategy for enhancing primary healthcare services for major chronic diseases. This paper reviews the current status, challenges, and feasible pathways of Smart TCM in community-level management of cardiovascular–cerebrovascular diseases and tumors, which represent major chronic disease burdens. Our findings indicate that Smart TCM demonstrates emerging potential in primary healthcare for chronic diseases across the entire continuum of “prevention-screening-diagnosis-treatment-management.” However, several significant challenges persist, including data silos and security vulnerabilities, limited applicability of existing models to real-world clinical needs, and insufficient digital literacy among primary healthcare physicians and elderly patients. To address these constraints, this paper proposes a multidimensional strategy encompassing the development of secure and interoperable regional data platforms, lightweight intelligent devices and support services aligned with primary care capacity, unified technical and data standards with corresponding quality control systems, adaptive and dynamically updated artificial intelligent models, interdisciplinary workforce training and patient education programs, and enhanced policy and health insurance support. Overall, Smart TCM shows great promise for improving the efficiency of primary healthcare delivery and establishing innovative TCM-based chronic disease management paradigms.

ObjectiveTo investigate the efficacy and safety of Shuganning injection in the treatment of liver injury by observing the clinical outcome of patients with liver injury after treatment with Shuganning injection and comparing it with reduced glutathione （GSH）. MethodsThis study was conducted among 175 patients with liver injury who attended 6 hospitals in China （Beijing YouAn Hospital， Capital Medical University； Nanyang First People’s Hospital； The Second Affiliated Hospital of Xi’an Jiaotong University； The Fifth Medical Center of Chinese PLA General Hospital； The Third Hospital of Hebei Medical University； The Affiliated Hospital of Guizhou Medical University） from April 25， 2019 to February 28， 2022. The patients were divided into experimental group （89 patients treated with Shuganning injection） and control group （86 patients treated with GSH）， and the course of treatment was 4 weeks for both groups. Related indicators were recorded before treatment， after treatment， and after drug withdrawal for 8 weeks， including liver function parameters， blood biochemical parameters， blood lipids， coagulation profiles， liver fibrosis markers， traditional Chinese medicine （TCM） syndrome score， and ultrasound findings， as well as adverse events during treatment. The Wilcoxon rank-sum test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The Wilcoxon signed-rank test was used for comparison of observation indicators before treatment， at week 4 of treatment， and after drug withdrawal for 8 weeks. When the efficacy evaluation of TCM syndromes was used as the outcome， a pooled analysis was performed for the effective cases and the markedly effective cases， and a Logistic regression model was used to calculate the odds ratio （OR） and its 95%CI. ResultsAfter 4 weeks of treatment with Shuganning injection， the patients showed significant reductions in TCM syndrome score （P<0.001） and the levels of aspartate aminotransferase， alanine aminotransferase， total bilirubin， and direct bilirubin （all P<0.001） and a significant increase in the level of albumin （P=0.002）， and these significant improvements persisted after drug withdrawal for 8 weeks. Furthermore， compared with the control group， the experimental group had a significantly higher proportion of patients assessed as effective or markedly effective cases （48.31% vs 32.56%， P=0.033）. Compared with the control group， the experimental group had a significantly greater change in TCM syndrome score at weeks 1-4 of treatment and after drug withdrawal for 8 weeks （P<0.05）. At week 4 of treatment， the experimental group had a significantly greater reduction in alanine aminotransferase than the control group （P<0.05）， and at week 8 after drug withdrawal， the experimental group had a significantly greater reduction in alanine aminotransferase and aspartate aminotransferase than the control group （all P<0.05）. One patient in the experimental group （1.12%） experienced an adverse event， which was determined to be associated with the progression of viral hepatitis. ConclusionShuganning injection can effectively improve liver injury， with good long-term efficacy and a low incidence rate of adverse reactions.

Organophosphorus nerve agents are the most threatening chemical warfare agents and terrorist agents.The number of nerve agents and their related chemicals involved in the verification of Chemical Weapon Convention(CWC)exceeds ten million,with the majority being isomers.Accurate structural identification of these chemicals has always been one of the challenges in CWC related verification analysis.In this work,a total of 17 kinds of alkyl phosphonate isomers and structural analogs from 5 groups were designed and synthesized,and then analyzed by gas chromatography-mass spectrometry(GC-MS)and gas chromatography-infrared spectroscopy(GC-FTIR).The spectra of isomers or structural analogs obtained from two techniques as well as the structural information provided therein were compared and analyzed.The results showed that for isomers or structural analogs with similar MS spectra,FTIR spectra could provided more structural fingerprint information of compounds and had advantages in confirming structures.Combined with the excellent separation ability of GC,GC-FTIR can be used to assist GC-MS in the structural confirmation of alkyl phosphates,achieving rapid and accurate identification of isomers or structural analogues.

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To study the correlation between miR-122 and early HBV infection and analyze its application value in early infection of voluntary blood donors.Methods:A total of 150 samples from voluntary blood donors in Fujian Blood Center from May 2021 to July 2022 were collected and divided into group N(normal group),group E(ELISA single positive group),and group D(both ELISA and nucleic acid positive group),and the general information of the three groups of blood donors was collected.Total RNA was extracted from the three groups of samples,and the expression level of miR-122 was detected by qRT-PCR.The expression differences of miR-122 among the three groups of samples were statistically analyzed,and the correlation between the expression level of miR-122 in group D and its HBV DNA copy number was analyzed.The miRNA database was used to predict the potential target genes of miRNA and perform bioinformatics analysis.Results:There was no statistical difference in gender,education level,and occupation distribution among the three groups,but the age distribution and number of blood donations among different groups were statistically significant.Compared with group N,the relative expression levels of miR-122 in the plasma of group E and group D were significantly downregulated(P＜0.05);the relative expression level of miR-122 in group D was more significantly downregulated than that in group E(P＜0.001).Pearson correlation analysis showed that the expression level of miR-122 in group D was negatively correlated with the HBV-DNA copy number(R2=-0.804,P＜0.01).Two potential target genes were screened using the miRNA database:ALDOA(aldolase A)and PKM(pyruvate kinase).GO analysis results showed that the potential target genes of miRNA mainly involved in biological processes including cell homeostasis and regulation of transcriptional processes.Conclusion:Downregulation of miR-122 expression is closely related to early HBV infection and replication activity.

Objective To understand the current status of work-related musculoskeletal disorders (WMSDs) among operating room doctors,thereby analyzing its effect on mental health. Methods A total of 1013 doctors in the operating rooms of 30 hospitals in 24 provinces from September to December 2022 were selected by cross-sectional survey method. The domestic musculoskeletal disease questionnaire was used to investigate the occurrence of WMSDs in operating room doctors,the symptom check list-90 (SCL-90) was used to evaluate the psychological status of operating room doctors,the relationship between WMSDs related items and SCL-90 scores was analyzed,the correla-tion between the rest time of each shift and SCL-90 factors was analyzed by Pearson method,and the influencing factors of mental health of operating room doctors were analyzed by multivariate Logistic regression.Results A total of 1100 questionnaires were distributed and 1013 valid questionnaires were recovered,with an effective rate of 92.10％. The incidence of WMSDs among operating room doctors in the past 1 year was 95.06％. The body parts with incidences of WMSDs from high to low were as follows:waist (36.92％),neck (35.54％),shoulder (33.56％),and upper back (32.77％). In the past 1 year,the SCL-90 scores and total scores of patients with musculoskeletal pain in various body parts,keeping the same back posture for a long time while work,bending the back at the same time of turning frequently while working,bowing the head for a long time while working,and bending the knee for a long time while working were significantly higher than those who were without the above conditions (P<0.05). Shorter rest time of each shift and longer periods of keeping the same back posture were the risk factors for the development of mental illness in operating room doctors. Conclusion The incidence of WMSDs in operating room doctors is high,which can influence the mental health of operating room doctors. Therefore,operating room doctors should avoid keeping the same back posture for a long time,bending the back at the same time of turning frequently,bowing the head for a long time,and bending the knee for a long time while working,and increase the rest time of each shift,in order to improve the mental condition of the operating room doctors.

Objective:To understand the status and influencing factors of social isolation in elderly individuals with chronic diseases.Methods:A multi-stage sampling method was used to select elderly individuals from eight communities or villages in Hefei from July to September 2022. The study employed a general information survey, the Lubben Social Network Scale (LSNS-6) , the Geriatric Depression Scale (GDS-15) , the Social Support Rating Scale (SSRS) , and the Personal Social Capital Scale 16 (PSCS-16) . Binary Logistic regression analysis was used to explore the factors influencing social isolation in elderly individuals with chronic diseases.Results:A total of 1 133 elderly individuals were surveyed, among which 538 had chronic diseases. Among the 538 elderly individuals with chronic diseases, 209 were socially isolated, resulting in a social isolation rate of 38.8%. Binary Logistic regression analysis revealed that living area, fear of falling, depression, social capital, and social support were significant factors influencing social isolation ( P<0.05) . Conclusions:The social isolation rate among elderly individuals with chronic diseases is high. Special attention should be given to elderly individuals living in rural areas, those who fear falling, and those experiencing depression. Additionally, improving social capital and social support can help alleviate social isolation in these elderly individuals.

Objectives:To quantitatively evaluate the relationship between triglyceride-glucose index and stroke risk by a dose-response meta-analysis.Methods:Prospective cohort studies on the association between triglyceride-glucose(TyG)index and stroke risk were searched by computer in China National Knowledge Infrastructure(CNKI),Wanfang Data Knowledge Service Platform,VIP,China Biomedical Literature Database,PubMed,Embase and Web of Science.The retrieval time was from the self-established database to November 7,2024.Two researchers used the Newcastle-Ottawa Scale(NOS)to evaluate literature quality and then extract relevant data for the included literatures.Stata 17.0 software was used for statistical analysis.Results:A total of 17 prospective literatures were included,involving 449 210 subjects,including 28 506 patients with stroke.The results of meta-analysis showed that the TyG index was positively correlated with the risk of stroke(HR=1.60,95%CI:1.45-1.76,P<0.05).The results of dose-response meta-analysis showed that there was a positive correlation between the TyG index and the risk of stroke,and every 1 unit increase of the TyG index,the risk of stroke increased by 20.2%.According to Egger's test,the P value is 0.962,and the P value of Begg's test is 0.967,indicating that there was no publication bias in the literature included in this study.Conclusions:There is a linear dose-response relationship between TyG index and stroke risk,and higher TyG index can increase the risk of stroke.

OBJECTIVES: To explore the risk factors of feeding intolerance (FI) in critically ill children receiving enteral nutrition (EN) and to construct a prediction nomogram model for FI. METHODS: A retrospective study was conducted to collect data from critically ill children admitted to the Pediatric Intensive Care Unit of Xiangya Hospital, Central South University, between January 2015 and October 2020. The children were randomly divided into a training set (346 cases) and a validation set (147 cases). The training set was further divided into a tolerance group (216 cases) and an intolerance group (130 cases). Multivariate logistic regression analysis was used to screen for risk factors for FI in critically ill children receiving EN. A nomogram was constructed using R language, which was then validated on the validation set. The model's discrimination, calibration, and clinical net benefit were evaluated using receiver operating characteristic curves, calibration curves, and decision curves. RESULTS: Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition were identified as independent risk factors for FI in critically ill children receiving EN (P<0.05). Based on these factors, a nomogram prediction model for FI in critically ill children receiving EN was developed. The area under the receiver operating characteristic curve for the training set and validation set was 0.934 (95%CI: 0.906-0.963) and 0.852 (95%CI: 0.787-0.917), respectively, indicating good discrimination of the model. The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good fit (χ 2=12.559, P=0.128). Calibration curve and decision curve analyses suggested that the model has high predictive efficacy and clinical application value. CONCLUSIONS Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition are independent risk factors for FI in critically ill children receiving EN. The nomogram model developed based on these factors exhibits high predictive efficacy and clinical application value.
Humans ; Critical Illness ; Enteral Nutrition/adverse effects* ; Male ; Risk Factors ; Female ; Child, Preschool ; Infant ; Nomograms ; Retrospective Studies ; Child ; Logistic Models