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 analyze the treatment outcomes and prognoses of children with head and neck non-parameningeal rhabdomyosarcoma (HNnPM RMS).Methods:A retrospective analysis was performed on the clinical data of children with HNnPM RMS admitted to Beijing Children′s Hospital from September 2012 to September 2022. The clinical features, comprehensive treatment modes and prognoses of the patients were analyzed. The overall survival rate (OS) and event free survival rate (EFS) were calculated using the Kaplan-Meier method, and univariate analysis was performed using the Log-rank test.Results:A total of 70 children were included in this study, 38 males and 32 females, with a median age of 47 months (2-210 months). Pathological subtypes including the embryonal in 27 cases, the alveolar in 36 cases and the spindle cell and sclerosing in 7 cases. Thirty children (83.3%) with alveolar type were positive for FOXO1 gene fusion. All 70 children underwent chemotherapy, including 38 with neoadjuvant chemotherapy and 32 with adjuvant chemotherapy. Sixty of 70 children underwent surgery, of whom, 10 underwent two or more surgeries. There were 63 children underwent radiotherapy, including 54 with intensity-modulated radiation therapy, 4 with particle implantation and 5 with proton therapy. The median follow-up was 45 (5-113) months, the 5-year OS was 73.2%, and the 5-year EFS was 57.7%. Univariate analysis showed lymph node metastasis ( χ2=5.022, P=0.025), distant metastasis ( χ2=8.258, P=0.004), and high Intergroup Rhabdomyosarcoma Study (IRS) group ( χ2=9.859, P=0.029) as risk factors for poor prognosis. Before June 2016, the 5-year OS based on BCH-RMS-2006 scheme was 63.6%, and after 2016, the 5-year OS based on CCCG-RMS-2016 scheme was 79.6%. Conclusion:Multidisciplinary combined standardized treatment can offer good treatment outcome and prognosis for children with HNnPM RMS. Local control is a key to the efficacy of comprehensive treatment.

Objective:To investigate and analyze the use and duration of anti-seizure medications (ASMs) in patients with chronic epilepsy after autoimmune encephalitis (AE), as well as the effect of ASMs use on the formation of this epilepsy to provide relevant evidence for the choice of ASMs in patients with acute seizure or chronic epilepsy after AE.Methods:A retrospective follow-up study was performed on AE patients (including patients with antibody-negative autoimmune limbic encephalitis) diagnosed in the Affiliated Brain Hospital of Nanjing Medical University from December 1, 2013 to October 31, 2022. The dates of the first seizure onset and the chronic epilepsy formation (defined as 1 year after immunotherapy) were recorded. The initial time, types and numbers of ASMs used in acute symptomatic seizure (ASS) and the maintenance time, types and numbers of ASMs in chronic epilepsy period (the continuation or the combined therapy of ASMs) were collected, respectively. A Logistic regression model was used to analyze multi-influencing factors on the formation of chronic epilepsy after AE.Results:A total of 332 patients were enrolled in this study, of whom 32.5% (108/332) with antibody-negative autoimmune limbic encephalitis. In total, 54.8% (182/332) of patients were males, and the age of onset was (40.7±19.7) years. Finally, 81.0% (269/332) of participants manifested ASS, and 57.2% (190/332) developed chronic epilepsy up to the last follow-up. The follow-up time was 1-8 years, with a median of 2 years. All patients received ASMs treatment during ASS period. Among the ASS patients, 48.0% (129/269) were prescribed monotherapy of ASMs, and 52.0% (140/269) were given the combined therapy of ASMs. Of all the patients with ASMs, 70.3% (189/269) were given early ASMs treatment (within 24 hours of the seizure onset), and 29.7% (80/269) were given delayed ASMs treatment. Subsequently, 81.0% (218/269) of the ASS patients continued the ASMs treatment (>6 months), and 19.0% (51/269) stopped use of ASMs. In the chronic epilepsy stage, 79.5% (151/190) of thee epilepsy patients continued ASMs, of whom 37.1% (56/151) were treated with monotherapy, and 62.9% (95/151) were treated with combined therapy. The incidence of chronic epilepsy was 81.3% (65/80) in the delayed ASMs treatment group, higher than the 66.1% (125/189) in the early ASMs treatment group,with statistically significant difference (χ 2=6.189, P=0.013). There were no statistically significant differences in the ASMs types and whether combined therapy of ASMs was used between chronic epilepsy group and non-chronic epilepsy group. The Logistic regression model showed that delayed ASMs treatment ( OR=2.306,95% CI 1.032-6.387, P=0.018), positive anti-neuronal intracellular antibodies ( OR=2.626,95% CI 1.536-9.531, P=0.004,compared with anti- neuronal surface antibodies), abnormal brain magnetic resonance imaging ( OR=9.883,95% CI 3.608-27.071, P<0.001), elevated cerebrospinal fluid protein ( OR=2.874,95% CI 1.115-7.409, P=0.029), and abnormal electroencephalogram ( OR=9.287,95% CI 3.767-22.896, P<0.001) were independent risk factors for chronic epilepsy after AE. Conclusions:The development of chronic epilepsy after AE is associated with the occurrence of ASS and the delayed use of ASMs, but the type of ASMs or whether the combined ASMs therapy is used is not associated with the formation of chronic epilepsy after AE. It is concluded that early ASMs treatment for the AE patients with ASS may reduce the incidence of chronic epilepsy. For AE patients with ASS who have undergone early standardized treatment, long-term, combined ASMs treatment may not be necessary.

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 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.

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.

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]