ObjectiveTo explore the establishment of performance assessment indicators for the classification and grading of public health staff in district-level Centers for Disease Control and Prevention (CDCs), and to provide a basis for such evaluations. MethodsThrough literature review and group interviews, performance evaluation indicators were developed based on competency evaluation. Experts were invited to evaluate the weight of performance evaluation indicators for public health staff from different categories, with the average value used to represent the weight of each indicator. ResultsTwenty-nine experts from universities in Shanghai, municipal CDCs, and district CDCs participated, yielding an expert authority coefficient of 0.86. The performance evaluation indicators for department managers were categorized into three levels, with 4 indicators at the primary level, 16 indicators at the secondary level, and 42 indicators at the tertiary level, while those for general staff included 4 primary indicators, 15 secondary indicators, and 36 tertiary indicators. Significant differences were observed in the weight coefficients of the primary indicators (internal operations, professional work, and learning and growth) between department managers and general staff. The top three secondary indicators for department managers were department management, monitoring and prevention, and level of expertise. For mid-level and senior staff, the top three secondary indicators were monitoring and prevention, level of expertise, and research work. The top three secondary indicators for junior staff were monitoring and prevention, professional expertise, and professional attitude. No significant statistical differences were found among tertiary indicators. ConclusionThe developed performance evaluation indicators are reliable. Staff at different levels and classifications should be evaluated using different performance evaluation standards to accurately reflect individual performance and contributions.

With the advancement in big data and artificial intelligence technologies, the extensive application of omics technologies in traditional Chinese medicine(TCM) research has generated large experimental datasets, enabling the exploration of cross-scale correlations among massive data and thereby resulting in the shift toward a data-intensive research paradigm. The emerging approach of multi-omics data fusion analysis, emphasizing technical and computational tools, presents a potential breakthrough in this field. The holistic perspective of TCM aligns with the concept of multi-omics data fusion, yet the data types encountered exhibit high dimensionality with small sample sizes, necessitating data processing techniques such as dimensionality reduction. The current challenge lies in selecting suitable analytical methods for these data to enhance the systematic understanding of physiological functions and disease diagnosis/treatment processes. This paper explores the theories and frameworks of multi-omics data fusion, analyzes methods for fusing high-dimensional, small-sample multi-omics data in TCM, and aims to provide insights for advancing TCM research.
Medicine, Chinese Traditional/methods* ; Humans ; Computational Biology/methods* ; Genomics/methods* ; Sample Size ; Artificial Intelligence ; Multiomics

Objective To investigate the trends of major thyroid function indices in Chinese adolescent females at different ages and the differences from adult reference intervals.Methods A total of 791 female students from 4 junior high schools were enrolled in the study by selecting one junior high school in each of the following locations:Minhang District of Shanghai,Haimen City of Jiangsu Province,Yuhuan City of Zhejiang Province,and Deqing County of Zhejiang Province from Oct to Nov 2017 and from Jan to Mar 2019.The subjects were subjected to physical examination as well as thyroid hormone levels;and the Pubertal Developmental Events Self-Assessment Scale(PDS)was used to evaluate the staging of pubertal development.Follow-ups were conducted after 2 years,with the same survey content.Thyroid function levels were assessed in 5 age groups between 11 to 15 years old,95%CI were calculated,and mixed linear models were used to analyze the effects of age and pubertal developmental stage on hormone levels.Results The reference intervals for thyroid stimulating hormone(TSH),free triiodothyronine(FT3)and free thyroxine(FT4)in adolescent females differed significantly from those of adults,with misclassification rates ranging from 2.98%to 5.17%.Statistically significant differences were found for age,pubertal development staging,and the interaction of age and pubertal staging after correcting for BMI,waist circumference(all P<0.05).TSH levels were more affected by age before the completion of pubertal development,the level of the 12-year-old group was higher than that of the 11-year-old group(P=0.001 2)and the 13-year-old group(P<0.000 1);FT3 levels showed greater variability with age during late pubertal stage,with levels significantly higher at 13 years of age than at 11 and 12 years of age(P<0.0001),and gradually decreasing after 13 years of age(P<0.000 1).In contrast,FT4 levels were generally less affected by age between 11 and 15 years of age,with levels slightly higher at 13-15 years of age than at 11-12 years of age(P<0.000 1).Conclusion The levels of TSH,FT3,and FT4,as indicators of thyroid function in adolescent females,differ significantly from those of adults,and are differently affected by age and the stages of pubertal development;further refinement of the reference intervals for age-and pubertal-development-specific thyroid indicators is necessary.

Objective To construct trajectory models of care-seeking patterns for type 2 diabetes mellitus(T2DM)patients,analyze the influencing factors of different trajectories,and explore the fasting blood glucose control levels of T2DM patients with different trajectories.Methods A retrospective cohort study was carried out on 18088 T2DM patients who had health records and been involved in the diabetic management in Community Health Service Center of Minhang District,Shanghai from 2006 to 2009.Starting from Jan 1,2010,participants were followed up until Dec 31,2019,with complete follow-up information.Group-based trajectory modelling(GBTM)was employed to identify and construct the fluctuation trajectory of fasting blood glucose in the patients.Bayesian information criterion(BIC),average posterior probability(AvePP)and other evaluation indicators were used to select the optimum subgroup number model.Then the differences in demographic characteristics,health status,family history,fasting blood glucose,BMI,etc were compared among different categories.Multinational logistic regression model was constructed to explore the influencing factors of different fluctuation trajectories.Cox regression analysis was used to examine the relationship between the long-term trajectories of care-seeking patterns and fasting blood glucose control level.Results Using GBTM analysis,we constructed the optimal Model 4 to categorize 18088 T2DM patients with community health records into five distinct trajectory subgroups:continuous non-attendance group(22.29%),low-level increasing group(15.09%),high-level slowly decreasing group(14.18%),high-level rapidly decreasing group(14.90%),and continuous regular attendance group(33.54%).With the continuous regular attendance group serving as the reference,gender,age,place of residence,baseline comorbidity of hypertension,baseline fasting plasma glucose level,and BMI were found to influence the community attendance trajectories of T2DM patients(P<0.05).After adjusting for confounding factors,Cox regression analysis revealed that compared to the continuous non-attendance group,the low-level increasing group,high-level slowly decreasing group,and continuous regular attendance group had better glycemic control,with HRs of 0.37(95%CI:0.34-0.39),0.72(95%CI:0.67-0.78),and 0.78(95%CI:0.73-0.84),respectively.The glycemic control level in the high-level rapidly decreasing group was comparable,with an HR of 1.06(95%CI:0.99-1.12).Conclusion Based on the optimal model,the community medical treatment trajectories of T2DM patients showed different dynamic characteristics.Factors such as gender,residence,hypertension,and weight loss may influence these varying trajectories.Regular community visits and follow-up may help control blood glucose levels.

Objective To design a novel oxygenator to solve the existing problems of extracorporeal membrane oxygenation(ECMO)machine in high transmembrane pressure difference,low efficiency of blood oxygen exchange and susceptibility to thrombosis.Methods The main body of the oxygenator vascular access flow field was gifted with a flat cylindrical shape.The topology of the vascular access was modeled in three dimensions,and the whole flow field was cut into a blood inlet section,an inlet buffer,a heat exchange zone,a blood oxygen exchange zone,an outlet buffer and a blood outlet section.The oxygenator was compared with Quadrox oxygenator by means of ANSYS FLUENT-based simulation and prototype experiments.Results Simulation calculations showed the oxygenator designed was comparable to the clinically used ones in general,and gained advantages in transmembrane pressure difference,blood oxygen exchange and flow uniformity.Experimental results indicated that the oxygenator behaved better than Quadrox oxygenator in transmembrane pressure difference and blood oxygen exchange.Conclusion The oxygenator has advantages in transmem-brane pressure difference,temperature change,blood oxygen ex-change and low probability of thrombosis.[Chinese Medical Equipment Journal,2024,45(3):23-28]

Objective To propose an attention mechanism-based YOLOv5 algorithm to relieve the wrong or missed diagnosis due to the complexity and variability of trauma conditions.Methods A YOLOv5-attention algorithm was constructed with YOLOv5 algorithm as the basic framework,which introduced the convolutional attention mechanism module into the feature fusion network and embedded the self-attention module at the end of the feature extraction network and the feature fusion network,respectively.The YOLOv5-attention algorithm was trained and validated on the Kaggle platform and compared with Fast-RCNN and YOLOv5 algorithms for determining fracture sites.Results The YOLOv5-attention algorithm achieved an average presicion of 0.859 8 for fracture site determination,which behaved better than Fast-RCNN algorithm with an average presicion of 0.697 5 and YOLOv5 algorithm with an average presicion of 0.847 1.Conclusion The YOLOv5-attention algorithm with high accuracy and robustness can identify and locate trauma conditions effectively and accurately.[Chinese Medical Equipment Journal,2024,45(9):1-6]

Objective To screen biomarkers for forensic identification of acute myocardial infarction (AMI) by non-targeted metabolomic studies on changes of urine metabolites in rats with AMI.Methods The rat models of the sham surgery group,AMI group and hyperlipidemia+acute myocardial infarction (HAMI) group were established.Ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to analyze the changes of urine metabolic spectrometry in AMI rats.Principal compo-nent analysis,partial least squares-discriminant analysis,and orthogonal partial least squares-discriminant analysis were used to screen differential metabolites.The MetaboAnalyst database was used to analyze the metabolic pathway enrichment and access the predictive ability of differential metabolites.Results A total of 40 and 61 differential metabolites associated with AMI and HAMI were screened,respec-tively.Among them,22 metabolites were common in both rat models.These small metabolites were mainly concentrated in the niacin and nicotinamide metabolic pathways.Within the 95% confidence in-terval,the area under the curve (AUC) values of receiver operator characteristic curve for N8-acetyl-spermidine,3-methylhistamine,and thymine were greater than 0.95.Conclusion N8-acetylspermidine,3-methylhistamine,and thymine can be used as potential biomarkers for AMI diagnosis,and abnormal metabolism in niacin and nicotinamide may be the main causes of AMI.This study can provide reference for the mechanism and causes of AMI identification.

In recent years， the incidence of pulmonary nodules has kept rising. To give full play to the advantages of traditional Chinese medicine （TCM） in the treatment of pulmonary nodules and identify the breakthrough points of integrating TCM with Western medicine， the China Association of Chinese Medicine organized medical experts in TCM and western medicine to carry out in-depth discussion regarding this disease. The discussion encompassed the modern medical advances， TCM theories of etiology and pathogenesis， the role and advantages of TCM in the whole course management of pulmonary nodules， contents and methods of research on pulmonary nodules， and science popularization work， aiming to provide a reference for clinical practice and scientific research. After discussion， the experts concluded that the occurrence of pulmonary nodules was rooted in the deficiency of the lung and spleen and triggered by phlegm dampness， blood stasis， and Qi stagnation. TCM can treat pulmonary nodules by controlling and reducing nodules， improving physical constitution， ameliorating multi-system nodular diseases， reducing anxiety and avoiding excessive diagnosis and treatment， and serving as an alternative for patients who are unwilling or unfit for surgical treatment. At present， the optimal diagnosis and treatment strategy for pulmonary nodules has not been formed， which needs to be further studied from multiple perspectives such as clinical epidemiology， biology， and evidence-based medicine. The primary task of current research is to find out the advantages， effective prescriptions， and target populations and determine the effective outcomes of TCM in the treatment of pulmonary nodules. At the same time， basic research should be carried out to explore the etiology and biological behaviors of pulmonary nodules. The expert consensus on the diagnosis and treatment of pulmonary nodules with integrated TCM and Western medicine needs to be continuously revised to guide clinicians to conduct standardized， scientific， and accurate effective diagnosis and treatment.

Objective: To explore the relationship between aggression and category perception of angry expression in reform school students under social exclusion, so as to provide reference for the reform school students mental health promotion. Methods: In May 2023, 144 students were randomly selected from a reform school in Guizhou Province, and were divided into high and low aggression groups(77 and 67 students) by Aggression Questionnaire. Cyberball game was used to induce social exclusion and acceptance, subjects were divided into high aggressive exclusion group ( n =42), high aggressive acceptance group ( n =35), low aggressive exclusion group ( n =37) and low aggressive acceptance group ( n =30). All the participants completed the discrimination and identification tasks of category perception paradigm, and the relationship between aggression and category perception of angry expression of reform school students under social exclusion was analyzed by using category turning point, identification curve and analysis of variance. Results: The total score of aggression(97.34±8.00) and four dimensions (physical aggression: 29.75± 4.61, verbal aggression:17.19±2.58, anger:22.29±3.66, hostility:28.10±3.54) in the high aggression group were higher than those in the low aggression group(74.10±9.02，21.09±4.98，14.30±2.66，17.16±3.83，21.55±3.88), and the differences were statistically significant ( t =16.38, 10.85, 6.62, 8.20, 10.59, P <0.01). For identifying the turning point of the fear anger continuum, the social exclusion group（2.58±0.07）was significantly smaller than the social acceptance group（2.79±0.07）( F =4.85, η 2=0.07, P < 0.05 ）, and the social exclusion group had a tendency to shift the category boundary to the fear side. For identifying the slope at the angry happiness continuum category boundary curve, the high aggression group (0.63±0.03) was significantly higher than the low aggression group (0.53±0.03)( F =5.38, η 2=0.08, P <0.05). In the fear anger continuum,the high aggression group[(694.86± 78.29 )ms] reacted more quickly than the low aggression group[(660.70±79.86)ms]( F =5.08, η 2=0.05， P <0.05) In the angry happiness continuum, there was no statistical significance of social exclusion and aggression( P >0.05). Conclusions The suggests that social exclusion can lead to hostility attribution bias in individuals, while aggression can make individuals more sensitive to angry expression. The mechanisms by which social exclusion and aggression affect expression category perception are independent rather than interactive. The society should give tolerance and acceptance to reform school students, reduce exclusion and discrimination, and the reform education department should correct the aggressive behavior of reform school students and promote their mental health.

Objective To observe the therapeutic effect of fourteen bone-setting manipulations and small splint fixation combined with No.8 Orthopedics Prescription(mainly composed of Rehmanniae Radix,Salviae Miltiorrhizae Radix et Rhizoma,Persicae Semen,Caulis Akebiae,Carthami Flos,Corydalis Rhizoma,and Notoginseng Radix et Rhizoma)on distal radius fracture.Methods A retrospective study was carried out in the analysis of the clinical data of 124 patients with distal radius fractures treated by fourteen bone-setting manipulations and small splint fixation in the Department of Orthopedics,Foshan Hospital of Traditional Chinese Medicine from September 2021 to September 2023.The patients were divided into an observation group(63 cases)and a control group(61 cases)depending on the medication of No.8 Orthopedics Prescription or not.The control group was treated with fourteen bone-setting manipulations and small splint fixation,while the observation group was treated with fourteen bone-setting manipulations and small splint fixation combined with No.8 Orthopedics Prescription.The two groups were treated for s one month and then were followed up for more than six months.The changes in the range of motion(ROM)of wrist pronation and supination and palmar flexion in the two groups were observed before treatment and three months after treatment.The time for starting wrist function exercise,time for subsiding swelling of the affected limb and fracture healing time were compared between the two groups.After six months of treatment,the wrist function improvement effect of the two groups was evaluated.Results(1)After treatment,the time for starting wrist joint functional exercise,time for subsiding swelling of the affected limb and the time for fracture healing in the observation group were significantly shortened compared with those in the control group,and the differences were statistically significant between the two groups(P＜0.01).(2)After three months of treatment,the ROM of wrist pronation and supination and palmar flexion in the two groups were significantly improved compared with those before treatment(P＜0.05),and the improvement of ROM of wrist pronation and supination and palmar flexion in the observation group was significantly superior to that in the control group,the differences being statistically significant(P＜0.01).(3)After six months of treatment,the evaluation of the wrist joint function of the two groups showed that the excellent and good rate of the observation group was 55.56％(35/63),and that of the control group was 45.90％(28/61).There was no significant difference in the improvement of wrist function between the two groups(Z=1.075,P=0.282).Conclusion Both methods can achieve satisfactory efficacy in the treatment of distal radius fracture,and the wrist function of the patients has been effectively restored.The treatment of fourteen bone-setting manipulations and small splint fixation combined with No.8 Orthopedics Prescription can significantly shorten the time for subsiding swelling of the affected limb,promote fracture healing and bone regeneration,improve wrist function,and relieve the pain of patients.