OBJECTIVE To establish the quality standard of Triadica cochinchinensis and to perform the acute toxicity study. METHODS Appearance properties, powder microscopic identification, and thin-layer chromatography(TLC) identification were researched. The specific chromatogram was established by HPLC. The content of cadmium(Cd), lead(Pb), arsenic(As), copper(Cu), and mercury(Hg) was determined by inductively coupled plasma-mass spectrometry(ICP-MS). Acute toxicity was studied by maximum dose. RESULTS The outer skin of herbs was dark brown, and the inner surface was light yellow brown and fibrous. Besides, crystal sheath fiber was common, and calcium oxalate clusters arranges in rows. In the TLC diagram of the test product, the fluorescent spots of the same color were displayed at the corresponding position of the control product(scopoletin, isofraxidin). Five common peaks were calibrated in the characteristic map and the three characteristic peaks(scopoletin, isofraxidin, dimethylfraxetin) were recognized. The content of the measured heavy metal elements was lower than the national limit standard. The linear correlation coefficient was R2 > 0.999. The precision, stability, repetitive RSD were < 10%. The average recovery rate of the added sample was 80%−120%, and the RSD was < 10%. The maximum dose of the acute toxicity test was 184.09 g·kg−1. The 14 d internal body mass, food intake, organ-body ratios, the serum glutamic pyruvic transaminase, glutamic oxaloacetic transaminase, blood urea nitrogen, and creatinine were not significantly different by comparing with the normal controls. Therefore, no significant toxicity was observed. CONCLUSION The established standard can provide a reference for evaluating the quality of Triadica cochinchinensis. The heavy metal content of ten batches of medicinal materials is within the safe range. Acute toxicity test show that there is no obvious significant adverse teactions after oral administration, and the safe dose range is large, which can provide a reference for the subsequent development and utilization.

Purpose/Significance To deeply analyze the research progress on the application of medical knowledge graph in the field of stroke,to discuss the problems of the development of stroke knowledge graph in China,and to put forward suggestions for the construc-tion of stroke knowledge graph.Method/Process By reviewing and analyzing the relevant literature,the application of medical knowledge graph in the field of stroke is sorted out and summarized.Result/Conclusion There are still many deficiencies in the development of stroke knowledge graph in China,and in the future,in-depth research can be carried out from four aspects,namely,expanding the ap-plication scope of knowledge graph,promoting the fusion of knowledge graph,developing more efficient algorithms,and upgrading to cog-nitive graph by joint artificial intelligence(AI).

AIM:To investigate the relationship between the number of dopaminergic neurons and the locomo-tor behavior of animals,and to provide a reference basis for the modeling of mice with different stages of Parkinson disease(PD)and different types of locomotor deficits based on 6-hydroxydopamine(6-OHDA)injection.METHODS:We in-duced lesions in the substantia nigra pars compacta(SNc)by administering various doses of 6-OHDA(3 g/L,6 g/L,and 12 g/L)to create PD mouse models with differing degrees of injury,thereby mimicking the various stages of PD progression observed in patients(early,moderate and advanced stages).On the 14th day post-surgery,we evaluated the behavioral deficits of the mouse models using the rotarod test,pole test,beam traversal test,open field test,and gait analysis.Fur-thermore,the quantification of tyrosine hydroxylase(TH)-positive neurons within the SNc and TH-stained dopaminergic terminals in the corpus striatum caudate-putamen(CPu)was conducted utilizing immunofluorescence staining techniques to assess brain tissue damage.RESULTS:Compared to the control group,the number of dopaminergic neurons in the SNc was significantly reduced in both the high-dose group(P<0.05)and the medium-dose group(P<0.05)following 6-OHDA injection,demonstrating a dose-dependent effect(Spearman correlation,P<0.01).Similarly,the dopaminergic terminals in the CPu were significantly diminished in the high-dose group(P<0.01)and the medium-dose group(P<0.05).Behavioral tests revealed that mice in the high-dose group exhibited severe impairments in motor coordination and hindlimb balance,as evidenced by reduced rotarod test times,gait abnormalities,and asymmetrical forelimb use in the cylinder test.In contrast,mice in the medium-and low-dose groups displayed only mild declines in limb coordination,while their autonomous motor abilities and gait indices remained largely unaffected.CONCLUSION:The results reveal a dose-dependent effect on dopamine neuron damage,with higher doses causing the severest damage.Unexpectedly,signifi-cant locomotion impairments were only manifested in the high-dose group.This suggests that a mouse model induced by higher 6-OHDA dose is effective for studying PD and associated dyskinesia.Conversely,animal models with low to medi-um doses can be useful for exploring the early stages of PD locomotion symptoms.

Objective:To analyze the lifestyle for brain health related factors and demographic characteristics through machine learning to achieve the assessing effect of mild cognitive impairement prevalence risk among rural elderly people in Guizhou.Methods:From July to August 2019, a multi-stage cluster random sampling method was used to select 1 235 rural elderly people aged 60 years and above in Guizhou Province as the subjects, and the investigation was performed with questionnaire and physical examination.The Mini-Mental State Examination (MMSE) was used to assess cognitive function, and the important features and optimal number of features based on 12 LIBRA factors and 4 demographic characteristics were selected.Logistic regression and random forest algorithm were used to establish a evaluation model for the risk of mild cognitive impairment in the elderly.The evaluation efficacy of the model was also assessed using a combination of precision, accuracy, sensitivity, specificity, F1 score and area under curve (AUC) of receiver operating characteristic curve, and the Delong method was used to check the difference of AUC values between the two models.Results:A total of 291 subjects were diagnosed with mild cognitive impairment, with a detection rate of 23.56% (291/1 235). The AUC values of logistic regression and random forest models evaluating the risk of mild cognitive impairment in the rural elderly were 0.758 and 0.820, respectively, and the differences were statistically significant(both P<0.05). The random forest model had better evaluations with an accuracy of 0.823, precision of 0.805, sensitivity of 0.874, specificity of 0.767 and F1 score of 0.838, all of which were better than those of the logistic regression model.And the random forest model was also more stable after 10-fold cross-validation. Conclusion:The lifestyle for brain health related factors combined with demographic characteristics can more accurately evaluate the risk of mild cognitive impairment among rural elderly people in Guizhou.The random forest model is better than the logistic regression model.

Objective:To analyze the reform actions on raising the appropriateness of inpatient care use, as well as the current situation, so as to provide suggestions on improving the appropriateness.Methods:Policies and literatures on the appropriateness of inpatient care use released from 2009 to 2021 were collected from such official websites as the State Council and China National Health Commission as well as literature databases from home and abroad, for a text analysis. Based on the data of China Health Statistics Yearbook(2010-2021) and The Sixth National Health Service Survey Report (2018), descriptive methods were adopted to analyze the situation of inpatient care use in China. Results:Since the new healthcare reform, the Chinese government had standardized the hospitalization standards and procedures to minimize inappropriate use of inpatient care, increased financial subsidies for public hospitals to minimize their inappropriate patient attraction merely for economic interests, and reformed the medical insurance payment methods so as to regulate physicians′ behavior. Under the influence of the above policies, the average length of stay decreased from 10.5 days in 2009 to 9.1 days in 2019, with an average annual growth rate of -1.42%. The average waiting time in hospitals decreased from 3.6 days in 2008 to 1.5 days in 2018.From 2012 to 2019, the admission rate increased from 13.2% to 19.0%.Conclusions:Since the new healthcare reform, the average length of stay in China has decreased year by year, but the admission rate has increased year by year. Therefore, it is necessary to further reduce the inappropriate utilization of inpatient care use by speeding up the construction of the close-type medical alliances, improving the reform of payment methods, refining the performance appraisal standards for medical staff and strengthening supervision mechanism.

Objective:To systematically review the risk factors of postoperative delirium in patients with liver surgery, in order to provide reference for early clinical prevention of postoperative delirium in patients with liver surgery.Methods:PubMed, Web of Science, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI) , Wanfang Database, VIP and China Biomedical Literature Database were searched by computer from the establishment of the database to July 31, 2021. Two researchers conducted literature screening, quality evaluation and data extraction. RevMan 5.4 was used for data analysis.Results:Finally, 15 articles were included. Meta-analysis results showed that advanced age ( OR=1.13, 95% CI: 1.06-1.22, Z=3.49, P=0.0005) , history of cerebrovascular disease ( OR=3.27, 95% CI: 1.89-5.66, Z=4.24, P<0.000 1) , history of hepatic encephalopathy ( OR=2.49, 95% CI: 1.70-3.65, Z=4.68, P<0.000 01) , history of mental illness ( OR=2.82, 95% CI: 1.52-5.22, Z=3.30, P=0.001) , history of sedative-hypnotic use ( OR=4.12, 95% CI: 1.99-8.52, Z=3.82, P=0.000 1) , history of drinking ( OR=1.96, 95% CI: 1.18-3.26, Z=2.61, P=0.009) , postoperative infection ( OR=5.76, 95% CI: 4.24-7.84, Z=11.18, P<0.000 01) were independent risk factors for postoperative delirium in patients with liver surgery. Increased preoperative albumin level ( OR=3.31, 95% CI: 0.19-0.52, Z=4.52, P<0.000 01) was a protective factor for postoperative delirium in patients undergoing liver surgery. There were no statistically significant differences in effects of end-stage liver disease model score, preoperative serum total bilirubin level, postoperative increased serum sodium level, postoperative ICU admission, acute physiology and chronic health scores on postoperative delirium in patients with liver surgery ( P>0.05) . Conclusions:Advanced age, history of cerebrovascular disease, history of mental illness, history of hepatic encephalopathy, history of sedative-hypnotic use, history of alcohol consumption and postoperative infection are independent risk factors for postoperative delirium in patients with liver surgery, and elevated preoperative albumin level is associated with postoperative delirium. protective factor.

Artificial intelligence (AI) is an emerging science and technology that studies and develops theories, methods, technologies, and application systems for simulating and expanding human intelligence. AI has made great breakthroughs in the field of intelligent medicine, and has shown great potential in the diagnosis and treatment of diabetic retinopathy (DR), retinopathy of prematurity, and other fundus diseases. A number of clinical trials on the application of AI technologies to DR screening have been carried out in the domestic and overseas, which not only have a high accuracy rate, but also save doctors' reading time and reduce the burden of society, medical work and patients. However, due to the lack of evaluation system for DR intelligent diagnosis technology, the accuracy of AI system still lacks of big data verification. Secondly, most of the color fundus photographs are taken in the posterior 45°, which only show the most vulnerable areas, making some lesions undetectable. In addition, the current DR screening system has not yet been applied to the clinic, most of which are in the stage of prospective research and trials. There are still many obstacles from the environment to the hospital or the clinic. Doctors cannot use real patient data to evaluate the AI system, so it is not popular in clinical practice. In the future, DR screening algorithms and diagnostic models can be further improved and established to make DR AI screening more accurate.

Since the outbreak of the Coronavirus Disease 2019 (COVID-19), universities have carried out online education for public health and preventive medicine courses under the policy of "Suspending Classes Without Stopping Learning" launched by the Chinese government. The Public Health and Preventive Medicine Committee of the Ministry of Education Steering Committee for Medical Education investigated the online teaching activities in the member universities. This study presents the survey results, discusses the existing problems, and proposes suggestions for further reforms on mixed teaching activities.

Since the outbreak of the Coronavirus Disease 2019 (COVID-19), universities have carried out online education for public health and preventive medicine courses under the policy of "Suspending Classes Without Stopping Learning" launched by the Chinese government. The Public Health and Preventive Medicine Committee of the Ministry of Education Steering Committee for Medical Education investigated the online teaching activities in the member universities. This study presents the survey results, discusses the existing problems, and proposes suggestions for further reforms on mixed teaching activities.

Objective To explore oncology nurses′attitudes and beliefs and its influencing factors toward sexuality care. Methods A total of 208 oncology nurses were investigated by convenience sampling method. The nurses were investigated with the Sexuality Attitudes and Beliefs Survey Scale and the Literacy of Sexual Health Care Scale. Results The total score of attitudes and beliefs of oncology nurses toward sexuality care was (44.88 ± 11.45). Multivariate linear regression analysis showed that age, sexual health education and training experience, knowledge of sexual health care and efficacy of sexual health care were the influencing factors of SABS. A total of 41.2％variance was explained. Conclusions We should strengthen the training of oncology nurses about sexuality care to reduce the barriers of sexual health education in clinical work and help nursesform the right attitudes and beliefs of health care so that they can provide patients with better care.