Objective To investigate the research status of domestic TCM systems biology in recent ten years, and provide reference for further research. Methods TCM systems biology literatures published in domestic journal were retrieved and screened. The data were analyzed from the annual distribution, regional distribution, research institutions, source journals, research fields, and so on. Results The total literature of TCM systems biology showed an increasing tendency. The research mainly distributed in TCM chemical matteromics, TCM genomics, TCM proteomics, TCM metabolomics, and TCM informatics. Beijing, Guangdong and Shanghai were in the leading position. Conclusion The development trend of domestic study on TCM systems biology is rising year by year, and the understanding of the subject is continuously improving.

The teaching method, teaching process and teaching model of programming course were reformed in Beijing University of Traditional Chinese Medicine by combining task-driven and flipped classroom teaching con-cept with BB network platform to provide a free and open environment for students in order to train their capability of analyzing and solving problems and the skills of independent learning and life-long learning. Good results were achieved in two rounds of task-driven plus flipped classroom teaching, which are of significance for the teaching model and teaching structure reform of other courses.

〔Abstract〕 Based on elaborating the problems existed in traditional programming course, taking Beijing University of Chinese Medi-cine as an example, the paper puts forward interest teaching method, carries out comprehensive teaching reform from preparing lessons, classes, after-school three aspects, points out the key problems in implementation.Practice shows that this mode could stimulate students′learning interest and initiative and achieve good results.

ObjectiveTo analyze the association of human urate transporter 1 ( hURAT1 ) gene promoter single-nucleotide polymorphisms(SNPs) with primary hyperuricemia ( HUA ) in Chinese Han people.MethodsA total of 215 patients with HUA and 323 healthy subjects were chosen to be investigated of SNP of hURAT1 promoter by PCR and sequencing.ResultsFive SNPs were identified,including-454A/T,-434T/C,-382C/T,-87C/T,and + 118G/A.Pairwise linkage disequilibrium analysis displayed a high linkage disequilibrium between the five SNPs ( r2 =0.99).In HUA group,the heterozygous genotypos ( AT,CT,CT,CT,AG ) frequencies were significantly lower than those in control group ( P＜0.05 ).Logistic regression analysis showed that the heterozygosis genotypes ( AT,CT,CT,CT,AG) were protective factors of HUA ( OR 0.68-0.75 ).The minor allele ( T,C,T,T,A ) frequencies for both SNPs were significantly different between two groups ( P =0.022,P =0.038 ).ConclusionThese findings indicate that -454A/T,-434T/C,-382C/T,-87C/T,and + 118G/A SNPs of hURAT1 gene promoter area are associated with HUA in Chinese Han population.

Objective:To construct a hypoglycemia random forest prediction model for older adults with type 2 diabetes, and assess the model′s prognostication performance through internal and external verification.Methods:From August 2022 to January 2023, 300 older adults with type 2 diabetes in Beijing Hospital were selected. The demographic characteristics, medical history, laboratory tests, and other data of the patients were collected, and the data set was randomly divided into the training set and verification set in a ratio of 7∶3. The hypoglycemia prediction model for older adults with type 2 diabetes was constructed and optimized based on the random forest algorithm. The calibration curve was used to evaluate the model′s calibration, and the ROC was used to evaluate the model′s discrimination. The clinical applicability of the model was assessed by the decision curve analysis. The risk factors for hypoglycemia in the older adults were explored by prioritizing the contributions of variables in prediction. The Bootstrap method was used for internal validation, and the validation set was used for external validation.Results:Among the 300 older adults with type 2 diabetes, 128 cases (42.67%) experienced hypoglycemia within one week. The predictive contributions of risk factors in the model were ranked as follows: the number of episodes of hypoglycemia in one month, HDL-C, heart disease, diabetes knowledge and education, combination therapy, age, duration of diabetes, staple food restriction, glycosylated hemoglobin, and gender. The internal and external calibration curves of the hypoglycemia random forest model for the older adults with type 2 diabetes fluctuated around the diagonal, indicating that the calibration degree of the predictive model is good. The AUROC of internal verification was 0.823 (95% CI 0.752-0.894), the sensitivity and specificity were 0.867 and 0.698, respectively. The external verification was 0.859 (95% CI 0.817 - 0.902), and sensitivity and specificity were 0.789 and 0.804, respectively, showing that the overall discrimination of the prediction model was good. The DCA curves were far from the all-positive line and all-negative line, which indicated that the prediction model had good clinical applicability. Conclusions:The predictive effect of this model is good, and it is suitable for predicting the risk of hypoglycemia in older adults with type 2 diabetes, and it provides a reference for early hypoglycemia screening and predictive intervention for this kind of patients.

Objective: To analyze the clinical characteristics of streptococcal toxic shock syndrome (STSS) caused by Streptococcus pyogenes (S. pyogenes) in the third trimester to improve clinical awareness of this disease. Methods: A retrospective study was conducted to analyze the clinical data of two patients with STSS caused by S. pyogenes in Jinan Maternal and Child Health Care Hospital and nine reported cases of healthy pregnant women infected with S. pyogenes at 28-42 gestational weeks with detailed data retrieved from Chinese National Knowledge Infrastructure and PubMed database from January 1997 to December 2018. Results: The two cases admitted to our hospital were both multiparas, with onset in winter and no specific symptoms in early stage. Disseminated intravascular coagulation (DIC) was developed in both cases on admission. In one case, the fetal heart rate was reduced and disappeared soon after admission. The other patient was diagnosed as stillbirth on admission. Both patients died and blood culture revealed infection of group A streptococcus. Nine previous cases were reported in one Chinese and five English articles. No high-risk pregnancy or premature rupture of membranes was reported in these 11 cases. Among the 11 cases, ten were positive for S. pyogenes indicated by blood or tissue culture and one was positive for streptococcal toxin. Ten cases had high fever and three presented with respiratory symptoms in early stage. Abdominal pain and watery diarrhea were common symptoms and all patients developed multiple organ dysfunction and DIC. Cases occurred in winter or spring were more common. Nine women died within 36 h after the onset of fulminant symptoms. Only two survived and hospitalized for 90 d and 25 d, respectively, after emergent cesarean section indicated by reduced fetal heart rate. Unfortunately, both neonates died after birth. For the babies, there were seven intrauterine fetal deaths, one stillbirth and three live births, but only one survived (whose mother developed respiratory cardiac arrest 90 min after delivery). Conclusions STSS caused by S. pyogenes in pregnant women exacerbates rapidly with a high mortality. Early identification of clinical manifestations and rapid progress of the disease are crucial for early diagnosis and treatment, which may help improve maternal and fetal outcomes.

Objective:It analyzes the resource allocation efficiency and its changing trend of 17 types of medical institutions in Beijing from 2016 to 2022,discusses the problems existing in resource allocation,and provides reference suggestions for improving the efficiency of health resource allocation.Methods:The Banker-Chames-Cooper(BCC)model in Data Envelopment Analysis(DEA)was used to statically analyze the health resource allocation efficiency of 17 types of medical institutions in Beijing in 2022.The Malmquist index model was used to dynamically analyze the health resource allocation efficiency of 17 types of medical institutions in Beijing from 2016 to 2022.Results:In 2022,the overall comprehensive efficiency of medical institutions in Beijing was not high,with an average of 0.804.There were 6 types of medical institutions with effective production efficiency(35.30％),4 types of medical institutions with weak production efficiency(23.50％),and 7 types of medical institutions with ineffective production efficiency(41.20％).From 2016 to 2022,the total factor productivity change index of general hospitals,orthopedic hospitals,other specialized hospitals and nursing homes was greater than 1,and the average total factor productivity change index was 0.907.Conclusion:The allocation efficiency of health resources in various medical institutions in Beijing needs to be improved.It is suggested that the government should strengthen macro-control and allocate health resources in combination with the market;accelerate the promotion of hierarchical diagnosis and treatment system,adjust the structure of medical resources,and improve the utilization rate of resources;make full use of psychiatric hospital health resources,avoid resource waste;improve technical ability and promote technological innovation.

Objective:It analyzes the resource allocation efficiency and its changing trend of 17 types of medical institutions in Beijing from 2016 to 2022,discusses the problems existing in resource allocation,and provides reference suggestions for improving the efficiency of health resource allocation.Methods:The Banker-Chames-Cooper(BCC)model in Data Envelopment Analysis(DEA)was used to statically analyze the health resource allocation efficiency of 17 types of medical institutions in Beijing in 2022.The Malmquist index model was used to dynamically analyze the health resource allocation efficiency of 17 types of medical institutions in Beijing from 2016 to 2022.Results:In 2022,the overall comprehensive efficiency of medical institutions in Beijing was not high,with an average of 0.804.There were 6 types of medical institutions with effective production efficiency(35.30％),4 types of medical institutions with weak production efficiency(23.50％),and 7 types of medical institutions with ineffective production efficiency(41.20％).From 2016 to 2022,the total factor productivity change index of general hospitals,orthopedic hospitals,other specialized hospitals and nursing homes was greater than 1,and the average total factor productivity change index was 0.907.Conclusion:The allocation efficiency of health resources in various medical institutions in Beijing needs to be improved.It is suggested that the government should strengthen macro-control and allocate health resources in combination with the market;accelerate the promotion of hierarchical diagnosis and treatment system,adjust the structure of medical resources,and improve the utilization rate of resources;make full use of psychiatric hospital health resources,avoid resource waste;improve technical ability and promote technological innovation.

Objective:It analyzes the resource allocation efficiency and its changing trend of 17 types of medical institutions in Beijing from 2016 to 2022,discusses the problems existing in resource allocation,and provides reference suggestions for improving the efficiency of health resource allocation.Methods:The Banker-Chames-Cooper(BCC)model in Data Envelopment Analysis(DEA)was used to statically analyze the health resource allocation efficiency of 17 types of medical institutions in Beijing in 2022.The Malmquist index model was used to dynamically analyze the health resource allocation efficiency of 17 types of medical institutions in Beijing from 2016 to 2022.Results:In 2022,the overall comprehensive efficiency of medical institutions in Beijing was not high,with an average of 0.804.There were 6 types of medical institutions with effective production efficiency(35.30％),4 types of medical institutions with weak production efficiency(23.50％),and 7 types of medical institutions with ineffective production efficiency(41.20％).From 2016 to 2022,the total factor productivity change index of general hospitals,orthopedic hospitals,other specialized hospitals and nursing homes was greater than 1,and the average total factor productivity change index was 0.907.Conclusion:The allocation efficiency of health resources in various medical institutions in Beijing needs to be improved.It is suggested that the government should strengthen macro-control and allocate health resources in combination with the market;accelerate the promotion of hierarchical diagnosis and treatment system,adjust the structure of medical resources,and improve the utilization rate of resources;make full use of psychiatric hospital health resources,avoid resource waste;improve technical ability and promote technological innovation.

Objective:It analyzes the resource allocation efficiency and its changing trend of 17 types of medical institutions in Beijing from 2016 to 2022,discusses the problems existing in resource allocation,and provides reference suggestions for improving the efficiency of health resource allocation.Methods:The Banker-Chames-Cooper(BCC)model in Data Envelopment Analysis(DEA)was used to statically analyze the health resource allocation efficiency of 17 types of medical institutions in Beijing in 2022.The Malmquist index model was used to dynamically analyze the health resource allocation efficiency of 17 types of medical institutions in Beijing from 2016 to 2022.Results:In 2022,the overall comprehensive efficiency of medical institutions in Beijing was not high,with an average of 0.804.There were 6 types of medical institutions with effective production efficiency(35.30％),4 types of medical institutions with weak production efficiency(23.50％),and 7 types of medical institutions with ineffective production efficiency(41.20％).From 2016 to 2022,the total factor productivity change index of general hospitals,orthopedic hospitals,other specialized hospitals and nursing homes was greater than 1,and the average total factor productivity change index was 0.907.Conclusion:The allocation efficiency of health resources in various medical institutions in Beijing needs to be improved.It is suggested that the government should strengthen macro-control and allocate health resources in combination with the market;accelerate the promotion of hierarchical diagnosis and treatment system,adjust the structure of medical resources,and improve the utilization rate of resources;make full use of psychiatric hospital health resources,avoid resource waste;improve technical ability and promote technological innovation.