Objective: To construct a quality control evaluation indicator system for the surveillance of common diseases among students, so as to provide a reference for the quality control of surveillance projects. Methods: Based on literature review and expert interviews, a preliminary framework and candidate indicators were developed from June to August in 2024. Twenty domain experts participated in two rounds of Delphi consultations conducted via email, providing importance ratings, judgment basis, familiarity levels, and feasibility assessments for each indicator. And a quality control evaluation indicator system for the surveillance of common diseases among students was ultimately constructed. Results: The consulted experts aged 33-53, with an average age of (45.25±5.03) years, were from government health administration departments( n =1), centers for disease control and prevention at different levels( n =16), academic and research institutions( n =3). Their work experience in school health related fields ranged from 6 to 33 years, with an average of (16.70±8.25) years. The activeness of experts in both rounds of consultation was 100%, the mean expert authority coefficient was 0.90, and the mean feasibility evaluation was 0.75. Kendall s W test showed that the expert coordination coefficient for the first round was 0.26, and for the second round, it was 0.33 ( P <0.01). After two rounds of expert consultation, a set of quality control evaluation indicators for the surveillance of common diseases among students was ultimately constructed, including 6 first level indicators, 19 second level indicators, and 37 third level indicators. Conclusion The scientifically developed evaluation indicator system facilitates high quality implementation of student common disease surveillance programs.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Objective To investigate the effect of berberine hydrochloride tablets combined with compound glutamine in treating ulcerative colitis(UC).Methods One hundred and two patients with UC admitted to our hospital were collected and grouped into two groups according to the random number table.Fifty-one patients in the control group were given conventional treatment+compound glutamine,and 51 patients in the experimental group were given berberine hydrochloride tablets based on the control group.Both groups were treated for 8 weeks.The efficacy,modified Mayo score,intestinal mucosal barrier function,soluble late glycation end product receptor(sRAGE),interleukin-17(IL-17),IL-6 and incidence of untoward reactions were compared between the two groups.Results The total effective rate of the experimental group was higher than that of the control group(92.2%vs.76.5%,P＜0.05).After treatment,scores of defecation frequency,blood in stool,endoscopic findings,physician's overall evaluation,diamine oxidase(DAO),D-lactic acid,endotoxin,sRAGE,IL-17 and IL-6 were lower in both groups than those before treatment(P＜0.05),and the research group was lower than the control group(P＜0.05).There was no significant difference in the total incidence of untoward reactions between the experimental group and the control group(P＞0.05).Conclusion Berberine hydrochloride tablets combined with compound glutamine are effective in treating UC,which can reduce the activity of UC,improve the intestinal mucosal barrier function,regulate serum sRAGE,IL-17 and IL-6 levels,without increasing adverse reactions.

Glycosylation is one of the most important reactions in living organisms as it results in the formation of glycoconjugates with diverse biological functions. Sugar nucleotides are structurally composed of sugar and nucleoside diphosphate or monophosphate, which are widespread within a variety of biological cells. As glycosyl donors for the transglycosyl reactions catalyzed by Leloir-type glycosyltransferases, sugar nucleotides are essential for the synthesis of glycans and glycoconjugates. However, high costs and limited availability of nucleotide sugars prevent applications of biocatalytic cascades on an industrial scale. Therefore, attentions on synthetic strategies of sugar nucleotides have been increasing to achieve their wide applications in various fields. The 9 common sugar nucleotides in mammals have been fully studied with large-scale synthesis through chemical, enzymatic (chemo-enzymatic) and cell factory strategies. In addition to common sugar nucleotides, many rare sugar nucleotides are present in plants and bacteria. Although unnatural sugar nucleotides cannot be synthesized in organisms, they have great potential in research as substrates for glycosyltransferases in carbohydrate synthesis, as enzyme inhibitors in biochemical studies, and as components of glycoconjugate biosynthesis. Therefore, increasing attention has been paid to explore the efficient synthesis of unnatural sugar nucleotides. Currently, strategies for chemical synthesis of sugar nucleotides have been greatly improved, such as the use of effective catalysts for forming pyrophosphate bonds and the development of entirely new synthesis protocols. Multiple sugar nucleotides, especially unnatural sugar nucleotides, are synthesized chemically. However, chemical synthesis requires tedious protection and deprotection steps, resulting in complex steps, high cost and low yield. In contrast, enzymatic (chemo-enzymatic) and cell factory methods have significant advantages such as high yield, easy operation and easy process scale-up in the preparation of sugar nucleotides. Hence, they are prominent strategies for sugar nucleotide preparation. Herein, the biosynthesis and application of sugar nucleotides are reviewed, mainly focusing on the 9 sugar nucleotides common in mammals. The early strategies for enzymatic synthesis of sugar nucleotides generally used de novo synthesis pathway. With the discoveries of enzymes involved in salvage pathway of sugar nucleotide synthesis and the development of one-pot multienzyme (OPME) method, the synthesis of sugar nucleotides was greatly simplified. Cell factory method employs the microbial living cells as a “processing plant” by engineering their metabolic pathways through genetic engineering technology. The cell factory method has high yield, and has been applied for efficient synthesis of several sugar nucleotides. Moreover, the strategy of gram-scale synthesis of multiple rare sugar nucleotides by cascade reactions from common sugar nucleotides using sugar nucleotides synthases cloned from different sources was illustrated. In recent years, the synthesis cost of sugar nucleotides has been further reduced through various ways, such as regeneration of nucleotides, regeneration of organic cofactors, and application of immobilized enzyme technology. Furthermore, through the continuous improvement of sugar nucleotide purification process, the use of high concentration of multi-enzyme cascade and rapid non-chromatographic purification process, the synthesis of multiple sugar nucleotides and their derivatives from monosaccharides was achieved, which gradually broke the limitations of the existing strategy. With the efficient synthesis of sugar nucleotides, their applications in various fields have been increasingly explored, including the synthesis of glycans and glycoconjugates, biochemical characterization of glycosyltransferases and bioorthogonal labeling strategies, which are of great significance to the research of biochemistry, glycobiology and the development of related pharmaceutical products.

Objective:To learn about physicians’ concepts and commonly employed method in hyaluronic acid injection and provide reference data for the standardization of pain management.Methods:This study was a cross-sectional study. Convenient sampling method was used to distribute questionnaires to cosmetic injectors and patients experienced with hyaluronic acid injections to collect data on their views of pain associated with hyaluronic acid injections. The physician portion was collected offline from June 15 to July 20, 2022, and the patient portion was collected from November 14, 2022, to December 6, 2022, via the Questionnaire Star platform. The physician questionnaire consisted of 17 questions, question types included single choice, multiple choice and essay questions. The patient questionnaire consisted of 6 questions, question types included single choice and multiple choice. Relevant data were analyzed using SPSS 22.0 software for descriptive statistics, and data were presented in the form of cases and percentages (%).Results:Sixty-two physician questionnaires and 123 patient questionnaires were collected. 42 (67.74%) physicians observed from their daily practice that more than 50% of their patients were very concerned about pain during injection; 101 (82.11%) patients scored ≥5 out of 10 for concern about impending pain prior to hyaluronic acid filler injection. At the time of treatment, 48 (77.42%) physicians advised patients to choose a lidocaine-containing hyaluronic acid filler for reasons including a significant reduction in injection pain (53 cases, 85.48%) and patient comfort with the treatment experience (59 cases, 95.16%). 60 (48.78%) patients were willing to choose an anesthesia-containing product at the time of injection, but the price of the anesthesia-containing product influenced the patient’ s choice (55 cases 44.72%) .Conclusions:Pain from cosmetic injectable treatments is an important issue to both physicians and patients. Lidocaine-containing hyaluronic acid is recognized by physicians and patients for its analgesic effect and high safety profile. There is no perfect solution for pain in cosmetic injection treatment, and multidisciplinary collaboration may be needed to solve the problem.

Objective:To learn about physicians’ concepts and commonly employed method in hyaluronic acid injection and provide reference data for the standardization of pain management.Methods:This study was a cross-sectional study. Convenient sampling method was used to distribute questionnaires to cosmetic injectors from plastic surgery department of public hospitals or medical beauty institutions and patients experienced with hyaluronic acid injections to collect data on their views of pain associated with hyaluronic acid injections. The physician portion was collected offline from June 15 to July 20, 2022, and the patient portion was collected from November 14 to December 6, 2022, via the Questionnaire Star platform. The physician questionnaire consisted of 17 questions, question types included single choice, multiple choice and essay questions. The patient questionnaire consisted of 6 questions, question types included single choice and multiple choice. Relevant data were analyzed using SPSS 22.0 software for descriptive statistics, and data were presented in the form of cases(%).Results:Sixty-two physician questionnaires and 123 patient questionnaires were collected. 42 (67.74%) physicians observed from their daily practice that more than 50% of their patients were very concerned about pain during injection; 101 (82.11%) patients scored ≥5 out of 10 for concern about impending pain prior to hyaluronic acid filler injection. At the time of treatment, 48 (77.42%) physicians advised patients to choose a lidocaine-containing hyaluronic acid filler for reasons including a significant reduction in injection pain (53 cases, 85.48%) and patient comfort with the treatment experience (59 cases, 95.16%). 60 (48.78%) patients were willing to choose an anesthesia-containing product at the time of injection, but the price of the anesthesia-containing product influenced the patient’s choice (55 cases, 44.72%).Conclusion:Pain from cosmetic injectable treatments is an important issue to both physicians and patients. Lidocaine-containing hyaluronic acid is recognized by physicians and patients for its analgesic effect and high safety profile. There is no perfect solution for pain in cosmetic injection treatment, and multidisciplinary collaboration may be needed to solve the problem.

Objective:To develop a prediction tool for 6-year incident risk of frailty among Chinese older adults aged 65 years or above.Methods:Data from the Chinese Longitudinal Healthy Longevity Survey from 2002 to 2018 was used, including 13 676 older adults aged 65 years or above who were free of frailty at baseline. Key predictors of frailty were identified via the least absolute shrinkage and selection operator (LASSO) method, and were thereafter used to predict the incident frailty based on the Cox proportional hazards regression model. The model was internally validated by 2 000 Bootstrap resamples and evaluated for the performance of discrimination and calibration using the area under the receiver operating characteristic curve (AUC) and calibration curve, respectively. The net benefit of the developed prediction tool was evaluated by decision-curve analysis.Results:The M( Q1, Q3) age and follow-up time of the participants were 81.0 (71.0, 90.0) years and 6.0 (4.1, 9.2) years, respectively. A total of 4 126 older persons (30.2%) were recorded with frailty incidents during the follow-up, with the corresponding incidence density of 41.8/1 000 person-years. A total of 15 key predictors of frailty were selected by LASSO, namely, age, sex, race, education years, meat consumption, tea drinking, performing housework, raising domestic animals, playing cards or mahjong, and baseline status of visual function, activities of the daily living score, instrumental activities of the daily living score, hypertension, heart disease, and self-rated health. The prediction model was internally validated with an AUC of 0.802, with the max Youden's index of 0.467 at a risk threshold of 19.0%. The calibration curve showed high consistency between predicted probabilities and observed proportions of frailty events. The decision curve indicated that higher net benefits could be obtained via the prediction model than did strategies based on intervention in all or none participants for any risk threshold less than 59%, and the model-based net benefit was estimated to be 0.10 at a risk threshold of 19.0%. Conclusions:The herein developed 6-year incident risk prediction model of frailty, based on easily accessible questionnaires and physical examination variables, has good predictive performance. It has application potential in identifying populations at high risk of incident frailty.

The aim of this study was to clarify the genetic diversity and population history of Ixodes persulcatus in some ar-eas of Inner Mongolia in order to provide accurate data for effective vector control programs and reveal the transmission mecha-nism.Samples were collected in 10 areas of Inner Mongolia during the active tick season(April 2021-July 2023)using the flag-dragging and manual sampling methods.The 16S rRNA and COI gene were sequenced to clarify genetic diversity of I.per-sulcatus.The positivity rates for the COI gene and 16S rRNA were 90.00％and 98.33％respectively.Overall,18 and 15 haplotypes were identified for the COI gene and 16S rRNA,respectively,with a total haplotype diversity＞0.762 and total nucleotide diversity＜0.005.The Tajima's values and Fu's Fs were negative for significance.A nucleotide mismatch map was shown as a single peak.The genetic differentiation index FST of the population indicates a small degree of genetic differ-entiation of the population,while analysis of molecular vari-ance indicates that the variation within populations was greater than between populations.Phylogenetic tree and haplotype network plots showed confounding distributions between hap-lotypes.I.persulcatus from the Hinggan League and Hulun-buir regions can adapt to environmental changes and possess abundant genetic diversity.Genetic differentiation is mainly concentrated within the population and no geographical isolation was observed.

This study was aimed at investigating the antimicrobial susceptibility and genomic characteristics of multidrug resistant diarrheagenic Escherichia coli isolated from human and food samples in Henan Province from 2017 to 2022.A total of 101 strains of multidrug resistant diarrheagenic E.coli were subjected to antimicrobial susceptibility testing with the broth di-lution method.Whole genome sequencing was performed to analyze the antimicrobial resistance genes,multilocus sequence typ-ing,and plasmid types.The sequencing data were used to construct a phylogenetic tree based on core genome single-nucleotide polymorphisms(cgSNPs).The isolates showed the highest resistance to ampicillin(87.1％),followed by tetracycline(79.2％)and nalidixic acid(64.4％).The resistance rate to cefotaxime was 38.6％.All 101 strains were classified into 60 STs,among which ST10,ST1491,and ST38 were dominant.Moreover,23 distinct plasmid replicons were identified,among which IncFIB was dominant.Diverse antimicrobial resistance genes(including quinolone,aminoglycoside,β-lactamase,and tetracycline)were identified.Insertion sequences(IS26,IS903B,and ISECP 1)were identified in upstream and downstream analysis of the gene context of the extended-spectrum β-lactamase bla CTX-M-14 and bla CTX-M-55 genes.In conclusion,multidrug resistant diarrhea-genic Escherichia coli isolated from clinical and food samples in Henan Province showed high genetic diversity and high antimi-crobial resistance.The dissemination of blaCTX-M carried by the strains was shown to be associated with the insertion sequence(IS).

Objective:To learn about physicians’ concepts and commonly employed method in hyaluronic acid injection and provide reference data for the standardization of pain management.Methods:This study was a cross-sectional study. Convenient sampling method was used to distribute questionnaires to cosmetic injectors and patients experienced with hyaluronic acid injections to collect data on their views of pain associated with hyaluronic acid injections. The physician portion was collected offline from June 15 to July 20, 2022, and the patient portion was collected from November 14, 2022, to December 6, 2022, via the Questionnaire Star platform. The physician questionnaire consisted of 17 questions, question types included single choice, multiple choice and essay questions. The patient questionnaire consisted of 6 questions, question types included single choice and multiple choice. Relevant data were analyzed using SPSS 22.0 software for descriptive statistics, and data were presented in the form of cases and percentages (%).Results:Sixty-two physician questionnaires and 123 patient questionnaires were collected. 42 (67.74%) physicians observed from their daily practice that more than 50% of their patients were very concerned about pain during injection; 101 (82.11%) patients scored ≥5 out of 10 for concern about impending pain prior to hyaluronic acid filler injection. At the time of treatment, 48 (77.42%) physicians advised patients to choose a lidocaine-containing hyaluronic acid filler for reasons including a significant reduction in injection pain (53 cases, 85.48%) and patient comfort with the treatment experience (59 cases, 95.16%). 60 (48.78%) patients were willing to choose an anesthesia-containing product at the time of injection, but the price of the anesthesia-containing product influenced the patient’ s choice (55 cases 44.72%) .Conclusions:Pain from cosmetic injectable treatments is an important issue to both physicians and patients. Lidocaine-containing hyaluronic acid is recognized by physicians and patients for its analgesic effect and high safety profile. There is no perfect solution for pain in cosmetic injection treatment, and multidisciplinary collaboration may be needed to solve the problem.