Based on the etiology and clinical diagnostic criteria of type 2 diabetes mellitus （T2DM）， identification and typing of treatment from the perspective of traditional Chinese and western medicine， the criteria for evaluating the clinical compatibility of traditional Chinese and western medicine in animal models of T2DM were set up. The literature was reviewed to sort out and analyze the existing commonly used modeling methods， summarize the mechanism， compare the advantages and disadvantages， and calculate the consistency between the animal model and the clinical symptoms， syndromes， and indicators from the perspective of traditional Chinese and western medicine. The authors found that spontaneous animal models and high-fat diets combined with multiple low-dose streptozotocin （STZ） induction models were more in line with modern medical pathogenesis of T2DM. However， it fails to form some special syndromes required for traditional Chinese medicine （TCM） research. In addition， there are many methods of combining the etiology and pathogenesis of TCM， which can be divided into three categories： intervention carried out by drug administration， behavioral stimulation， or environmental changes according to TCM， or use of hormones according to clinical evidence and combination of the two methods mentioned above. All of them can successfully establish different types of animal models. However， different methods of establishing syndrome models have their own advantages and disadvantages， and there is no unified standard for the stability and evaluation of syndrome models. As for the clinical consistency criteria of traditional Chinese and western medicine established in this paper， the animal model with 100% consistency has not been calculated due to the conditions of incomplete symptoms and syndromes described in the studies and different selection indicators. Consequently， the establishment of a simple， easy-to-use， and affordable T2DM animal model with both traditional Chinese and western medicine disease characteristics and the improvement of the Chinese and western medicine evaluation system for different evidence types are of great significance for the future development of TCM research on T2DM.

Based on the etiology and clinical diagnostic criteria of type 2 diabetes mellitus （T2DM）， identification and typing of treatment from the perspective of traditional Chinese and western medicine， the criteria for evaluating the clinical compatibility of traditional Chinese and western medicine in animal models of T2DM were set up. The literature was reviewed to sort out and analyze the existing commonly used modeling methods， summarize the mechanism， compare the advantages and disadvantages， and calculate the consistency between the animal model and the clinical symptoms， syndromes， and indicators from the perspective of traditional Chinese and western medicine. The authors found that spontaneous animal models and high-fat diets combined with multiple low-dose streptozotocin （STZ） induction models were more in line with modern medical pathogenesis of T2DM. However， it fails to form some special syndromes required for traditional Chinese medicine （TCM） research. In addition， there are many methods of combining the etiology and pathogenesis of TCM， which can be divided into three categories： intervention carried out by drug administration， behavioral stimulation， or environmental changes according to TCM， or use of hormones according to clinical evidence and combination of the two methods mentioned above. All of them can successfully establish different types of animal models. However， different methods of establishing syndrome models have their own advantages and disadvantages， and there is no unified standard for the stability and evaluation of syndrome models. As for the clinical consistency criteria of traditional Chinese and western medicine established in this paper， the animal model with 100% consistency has not been calculated due to the conditions of incomplete symptoms and syndromes described in the studies and different selection indicators. Consequently， the establishment of a simple， easy-to-use， and affordable T2DM animal model with both traditional Chinese and western medicine disease characteristics and the improvement of the Chinese and western medicine evaluation system for different evidence types are of great significance for the future development of TCM research on T2DM.

BACKGROUND:Studies have shown that atorvastatin can up-regulate the expression of heme oxygenase-1 and enhance the anti-inflammation and anti-oxidative damage ability of cells.However,whether atorvastatin can regulate macrophage polarization,inhibit inflammation and reduce cholesterol accumulation by inducing heme oxygenase-1 expression remains unclear. OBJECTIVE:To investigate the effect of atorvastatin on polarization,inflammation and cholesterol content of oxidized low-density lipoprotein stimulated RAW264.7 macrophages by inducing heme oxygenase-1 expression and its related mechanism. METHODS:Firstly,RAW264.7 cells were randomly divided into six groups and incubated with different concentrations of atorvastatin for 24 hours.The expression of heme oxygenase-1 protein and cell activity were detected to explore the optimal dose of atorvastatin for subsequent studies.RAW264.7 cells were randomly divided into control group,atorvastatin group and heme oxygenase-1 inhibition group.Cells were preincubated with pure medium,atorvastatin 20 μmol/L and atorvastatin 20 μmol/L + zinc protoporphyrin IX 10 μmol/L for 24 hours,and then oxidized low-density lipoprotein 50 mg/L was added for 48 hours.The polarization of macrophages was detected by flow cytometry.The secretion of inflammatory factors such as transforming growth factor β,interleukin 10,interleukin 1β,and tumor necrosis factor α was detected by ELISA.The expression levels of heme oxygenase-1,LC3II,LC3I,P62,PPARγ and ABCA1 were detected by western blot assay.The intracellular cholesterol content was measured with the oxidose method and the accumulation degree of intracellular lipid droplets was evaluated by oil red O staining. RESULTS AND CONCLUSION:(1)Atorvastatin could induce the expression of heme oxygenase-1 protein in macrophages in a dose-dependent manner.(2)Oxidized low-density lipoprotein could induce macrophages to polarize towards M1,secrete proinflammatory factors,and increase the accumulation of intracellular cholesterol.(3)Compared with the control group,the heme oxygenase-1 protein expression of macrophages was increased after atorvastatin intervention,and the cells turned to M2-type polarization and mainly secreted anti-inflammatory factors such as transforming growth factor-β and interleukin-10.PPARγ,ABCA1,LC3II/I and other signal molecules reflecting cholesterol efflux and autophagy increased,and the contents of intracellular cholesterol and lipid droplets decreased significantly(P<0.05).(4)The heme oxygenase-1 inhibition group treated with zinc protoporphyrin IX significantly reversed the above changes in the atorvastatin group.(5)The results have shown that atorvastatin may promote the polarization of macrophages stimulated by oxidized low-density lipoprotein to M2 type and inhibit inflammation by up-regulating the expression of heme oxygenase-1 and by up-regulating PPARγ/ABCA1 signaling pathway and enhancing autophagy.Atorvastatin can increase the outflow of intracellular cholesterol and reduce the accumulation of intracellular lipids.

BACKGROUND:Due to the complex physiological environment of the human body,a wide variety of simulated physiological fluids have been chosen for the current degradation experiments.Therefore,it is of great interest to analyze the degradation behavior of Mg-Zn-Ca alloys in different simulated body fluid environments. OBJECTIVE:To investigate the degradation process and property changes of Mg-Zn-Ca alloy in different simulated body fluids,and to clarify the influence of Ca content and simulated body fluid type on the alloy. METHODS:Mg-Zn-Ca alloys with calcium content of 0.2%,0.5%and 1%were prepared by melting extrusion molding process and were named Mg-Zn-0.2Ca,Mg-Zn-0.5Ca and Mg-Zn-1Ca alloys in turn,with Mg-Zn alloy as the control.The prepared alloys were placed into three simulated body liquids(physiological saline,PBS and Hank's solution),and the morphology,compositional changes,mass loss,pH value and mechanical properties were characterized and analyzed during the degradation. RESULTS AND CONCLUSION:(1)With the extension of degradation time,a large number of nanoscale lamellae and columnar structures were generated on the surface of the degraded alloy,and the main components were MgO and Mg(OH)2.The degradation rate of the four kinds of alloys in physiological saline was the fastest,and that in Hank's solution was the slowest.The degradation rate in physiological saline was as follows:Mg-Zn

BACKGROUND:Currently,there have been a variety of conservative and surgical treatment plans for spontaneous osteonecrosis of the knee,achieving excellent results.However,a broad consensus on indication and guide of surgical treatment has not been announced.In clinical practice,there is still a misunderstanding that unicondylar replacement or total knee arthroplasty should be performed upon the discovery of spontaneous osteonecrosis of the knee,while an urgent need for universal access to the concept of stepwise therapy. OBJECTIVE:To summarize and find the factors leading to the poor effect of conservative treatment in spontaneous osteonecrosis of the knee,which occurred on the medial femoral condyle,from the literature and clinical cases,at the same time,combined with the Koshino stage,to propose the strategy of stepwise spontaneous osteonecrosis of the knee treatment on the medial femoral condyle. METHODS:A systematic search of the literature database was conducted to summarize the factors leading to poor outcomes of conservative treatment in spontaneous osteonecrosis of the medial femoral condyle.Meanwhile,according to the Clinical&Health Records for analytics&Sharing system,the cases receiving conservative and surgical treatment in spontaneous osteonecrosis of the medial femoral condyle in the Department of Orthopedics of Guangdong Provincial Hospital of Chinese Medicine from January 2017 to January 2023 were analyzed retrospectively,then the causes of success and failure in typical cases were summarized and analyzed. RESULTS AND CONCLUSION:(1)Early diagnosis and treatment of spontaneous osteonecrosis of the knee were very important for prognosis.For sudden knee pain in some patients,if no obvious abnormality was found in the X-ray examination,and the symptoms persisted and could not be relieved for more than 1 week,an MRI examination was recommended to detect early spontaneous osteonecrosis of the knee.(2)The X-ray images of Koshino stage 1 and stage 2 of spontaneous osteonecrosis of the medial femoral condyle were difficult to be distinguished,which needed to be probed by MRI.MRI images of Koshino stage 1 were mainly characterized by bone marrow edema,and an osteonecrosis area with a clear boundary was not formed,while MR images of Koshino stage 2 showed a necrotic area with a clear boundary.(3)Five factors leading to the poor effect of conservative treatment on spontaneous osteonecrosis of the medial femoral condyle were summarized:a.The necrotic area was＞5 cm2;b.The necrotic area accounted for more than 40%of the condyle;c.relative compression percentage of medial meniscus≥33%(with or without medial meniscus injury and subchondral bone marrow edema);d.MRI depth of necrotic area(anterior-posterior diameter of sagittal necrotic area)＞20 mm;e.varus deformity of lower limb＞6°.(4)Conservative treatment of spontaneous osteonecrosis of the knee in Koshino stage 1 was good.For spontaneous osteonecrosis of the knee in Koshino stage 2,conservative treatment was preferred or combined with drilling decompression.If there was no relief or improvement of symptoms or in MRI after 3 months,while the patient had any of the previous five factors,then knee preservation surgery should be considered.For spontaneous osteonecrosis of the knee in Koshino stage 3 and stage 4,knee preservation surgery should be selected based on the previous five factors,including age,gender and activity level of the patient.Total knee arthroplasty was used for spontaneous osteonecrosis in Koshino stage 4,which was associated with symptomatic patellofemoral arthritis,valgus alignment,or necrotic area,which greatly affected the stability of unicondyle prosthesis.

Purpose/Significance To explore the changes,challenges,key application scenarios and future development directions of generative artificial intelligence(AI)represented by ChatGPT in the field of hospital management,and to provide references for the ap-plication of AI natural language processing(NLP)technology in the field of hospital management in China.Method/Process Through literature review and analysis,the changes and challenges brought about by the rapid development of generative AI in the field of hospital management are sorted out,its key application scenarios and future development directions in the field of hospital management are empha-sized and explored.Result/Conclusion AI has broad application prospects in the field of hospital management,and it should focus on exploring its practical application scenarios and strategic directions to provide reference and guidance for promoting the high-quality de-velopment of public hospitals.

Objective:To develop a risk prediction model for early cardiac arrest in emergency sepsis utilizing a machine learning algorithm to enhance the quality and efficiency of patient treatment.Methods:This study focused on patients with sepsis who received treatment at the emergency room of the First Medical Center of Chinese PLA General Hospital from January 1, 2020 to June 1, 2023. The basic clinical characteristics such as vital signs and laboratory results were collected. Patients who fulfilled the specified inclusion criteria were allocated randomly into a training group and a testing group with a ratio of 8:2. A CatBoost model was constructed using Python software, and the prediction efficiency of the model was assessed by calculating the area under the receiver operating characteristic curve (AUC). Furthermore, the performance of the model was compared to that of other widely employed clinical scores.Results:This study included a cohort of 2 131 patients diagnosed with sepsis, among whom 449 experienced cardiac arrest. The CatBoost model demonstrated an AUC of 0.760, surpassing other scores. Notably, the top 10 predictors in the model were identified as age, lactate, interleukin -6, oxygen saturation, albumin, N-terminal pro-B-type natriuretic peptide, potassium, sodium, creatinine, and platelets.Conclusions:The utilization of this machine learning algorithm-based prediction model offers a more precise basis for predicting cardiac arrest in emergency sepsis patients, thereby potentially improving the treatment efficacy for this disease.

Background China is witnessing an accelerated aging process and an increasingly serious situation of Parkinson's disease. Research on the pre-disease stage and its related influencing factors has gained more and more attention. Objective To analyze the current situation of prodromal Parkinson's disease (pPD) of people aged 55 years and above in four provinces of China, and to explore its influencing demographic and socio-economic characteristics. Methods Using the data of Community-based Cohort Study on Nervous System Disease in 2020, a total of 10724 participants with complete data on demographic and socio-economic factors and risk factors on Parkinson's disease were selected. Based on the criteria recommended by the International Parkinson and Movement Disorder Society (MDS), we evaluated risk level (i.e., post-test probability) of pPd, prevalence of possible or probable pPD, and number of pPD-related risk/prodromal markers in the participants. Multiple linear regression and multiple logistic regression models were used to analyze the influencing socio-demographic factors of risk level of pPd and prevalence of possible or probable pPD, and Poisson regression and multinomial logit regression models were used to analyze the influencing socio-demographic factors of the number of pPD-related risk/prodromal markers in the total sample, men, and women, respectively. Results The median (P₂₅, P₇₅) of post-test probability of pPD in 2020 was 0.78% (0.42%, 1.66%), the prevalence rate of possible or probable pPD was 0.34%, and 69.03% of the participants reported 3-5 pPD-related risk/prodromal markers. The post-test probabilities of men, those with older age, lower education level, per capita monthly household income < 1000 yuan, urban residency, or without active employment were higher (P<0.05). Men and being aged ≥ 75 years had a higher prevalence of possible or probable pPD (P<0.05). The OR of possible or probable pPD was 8.404 (95%CI: 2.839−24.879) in subjects aged ≥ 75 years versus those aged 55−64 years. Males, those without active employment, being less educated, with older age, and urban residents were more likely to report pPD-related risk/prodromal markers than those of the opposite groups (P<0.05). Conclusion Men, subjects aged ≥75 years, those with lower education level, urban residents, and those without active employment have higher risk levels of pPD and are more likely to report pPD-related risk/prodromal markers among people aged 55 years and above in the four provinces of China, poor economic situation is also associated with higher risk levels of pPD.

Background Gastrointestinal microbiota plays an important role in the development of Parkinson's disease (PD), and dietary factors have a great impact on intestinal micro ecology. At present, few studies focus on red meat and PD, especially prodromal PD (pPD). Objective To understand the relationships of the intake of red meat and processed meat products with pPD and the number of risk/prodromal markers, and to explore the association of dietary factors with pPD. Methods Based on the data of Community-based Cohort Study on Nervous System Disease in 2018 and 2020, adults aged 55 years and older with complete demographic information, dietary survey information, and information on risk factors related to PD were selected from four provinces of China. After excluding those reporting abnormal total energy intake or those reporting alcohol drinking or abused drugs for a long period of time, and confirmed mental diseases with prescribed drugs, a total of 10003 subjects were included. Food frequency questionnaire was used to calculate the intake of red meat and processed meat products. The pPD-related risk/prodromal markers were selected following the International Parkinson and Movement Disorder Society criteria for pPD, and the risk level and the number of markers of pPD were then calculated. The relationship between the intake of red meat and processed meat and the risk level of pPD was analyzed by multiple linear regression. The relationship between the intake of red meat and processed meat and the pPD marker number groups was analyzed by multinomial logit regression model. Results In 2018, the intake of red meat and processed meat was 28.57 g·d⁻¹ in the target population. In 2020, the median of the number of risk/prodromal markers was 3, and the median M (P₂₅, P₇₅) of the posterior probability of pPD was 0.74% (0.42%, 1.49%). The multiple linear regression analysis showed that the higher the intake of red meat and processed meat, the higher the risk level of pPD in follow-up (b=0.021, P<0.05). The multiple logit regression model showed that compared with the lowest quartile (Q1), the highest quartile (Q4) group of red meat and processed meat intake were more likely reporting 3−5 risk/prodromal markers than ≤ 2 risk/prodromal markers (OR=1.185, 95%CI: 1.015−1.382). Conclusion The intake level of red meat and processed meat is related to the risk level of pPD, and a higher intake of red meat and processed meat may be a potential risk factor of pPD.

Background It has been reported that a high intake of dairy products might be associated with an increased risk of Parkinson's disease (PD) in foreign studies, but no such study has yet been conducted on prodromal Parkinson's disease (pPD) and the Chinese population. Objective To investigate the prospective relationship between the intake of dairy products and pPD among people aged 55 and above in four provinces of China. Methods The research data were obtained from the baseline 2018 and follow-up 2020 surveys of Community-based Cohort Study on Nervous System Disease. A total of 9984 residents were selected who participated in both waves of surveys and had complete data on demographics, dietary products intake, and risk factors for PD. We evaluated the risk level and the numbers of related risk/prodromal markers of pPD in the participants based on a criteria recommended by the International Parkinson and Movement Disorder Society (MDS). Food Frequency Questionnaire was used to obtain food consumption data in the past 12 months, and the intake of dairy products was calculated and divided into non-consumption and tertiles of consumption (T1, T2, and T3 from low to high). Multiple linear regression was used to analyze the association between baseline dairy intake and risk level of follow-up pPD. Poisson regression and multinomial logit regression models were used to analyze the relationship of baseline dairy products and the number of risk/prodromal markers of follow-up pPD in the population, and multiple logistic regression was used to analyze each risk/prodromal marker of follow-up pPD according to baseline levels of dairy products intake. Results The percentage of residents without dairy products consumption was 58.02% in 2018, and the dairy products intakes were relatively high among residents being female, aged 55 to 74 years, with an education level of middle school and above, with a per capita monthly household income ≥ 1000 yuan, living in urban areas, and without active employment (P<0.05). The median risk level of pPD was 0.74% in 2020, and the proportion of residents with 3 to 5 markers was 66.74%. The multiple linear regression analysis results suggested no association between baseline dairy intake and follow-up risk level of pPD. The Poisson regression model showed that the high dairy products intake group at baseline (T3, median=250.00 g·d⁻¹) was found to be 1.159 (95%CI: 1.065~1.261, P_trend<0.001) times more likely to have the risk/prodromal markers of pPD at follow-up than non-consumers. When the number of markers was grouped, no statistically significant association was found by multiple logistic regression analysis. Conclusion Although high dairy products intake levels might be associated with pPD risk/prodromal markers among people aged 55 and above in four provinces of China, no direct association is found between dairy products intake and pPD risk levels in this study.