To analyze the disease burden of acute lymphoid leukemia(ALL) and its changing trends in China and globally from 1990 to 2021, aiming to provide a theoretical basis for disease prevention, treatment, and policy formulation.

To analyze the disease burden and trends of motor neuron disease(MND) in China and globally from 1990 to 2021, providing evidence for the formulation of relevant health strategies inChina.

In recent years, it has become a new direction in the field of neuroscience to explore the mode characteristics, functional significance and interaction mechanism of resting spontaneous electroencephalography (EEG) and task-evoked EEG. This paper introduced the basic characteristics of spontaneous EEG and task-evoked EEG, and summarized the core role of spontaneous EEG in shaping the adaptability of the nervous system. It focused on how the spontaneous EEG interacted with the task-evoked EEG in the process of task processing, and emphasized that the spontaneous EEG could significantly affect the performance of tasks such as perception, cognition and movement by regulating neural activities and predicting external stimuli. These studies provide an important theoretical basis for in-depth understanding of the principle and mechanism of brain information processing in resting and task states, and point out the direction for further exploring the complex relationship between them in the future.
Humans ; Electroencephalography/methods* ; Brain/physiology* ; Rest/physiology* ; Cognition/physiology* ; Evoked Potentials/physiology* ; Task Performance and Analysis

Objective:To investigate the risk factors of medical insurance fund management for the neurological disease group under the background of Diagnosis Related Groups(DRG)reform,and to construct a warning model to provide references for optimizing the management of medical institutions.Methods:A total of 5 615 medical records from Beijing Tiantan Hospital Affiliated to Capital Medical University in 2024 were selected to simulate and compare the differences in medical insurance fund compensation under the Version 1.1 of China Health-care Security Diagnosis-Related Groups(CHS-DRG),hereinafter referred to as DRG 1.1,and the Version 2.0 of Diagnosis-Related Groups(DRG),hereinafter referred to as DRG 2.0.LASSO regression was used to screen variables,and logistic regression analysis was employed to identify the risk factors of fund management and construct Nomogram prediction model.Results:With the implementation of DRG 2.0,the proportion of cases with fund management risks increased from 23.47％to 25.16％,and the overall surplus rate decreased from 14.97％to 12.57％.Logistic regression showed that age,type of medical insurance,mode of admission,and the CCI comorbidity index were significant influencing factors in fund risk management(P＜0.05),while the use of centrally procured medical consumables had a protective effect.The constructed model had an AUC of 0.827,indicating a certain level of predictive performance.Analysis of high-risk management combinations showed that cases with employee medical insurance,emergency admission,no use of centrally procured medical consumables,and non-surgical treatment were the focus of fund payment management.Conclusions:The adjustment of DRG 2.0 has reduced the deviation of overruns and surpluses among cases.Medical institutions need to strengthen their own management,optimize practical processes,and focus on the refinement of medical insurance fund management.

Objective:To investigate the risk factors of medical insurance fund management for the neurological disease group under the background of Diagnosis Related Groups(DRG)reform,and to construct a warning model to provide references for optimizing the management of medical institutions.Methods:A total of 5 615 medical records from Beijing Tiantan Hospital Affiliated to Capital Medical University in 2024 were selected to simulate and compare the differences in medical insurance fund compensation under the Version 1.1 of China Health-care Security Diagnosis-Related Groups(CHS-DRG),hereinafter referred to as DRG 1.1,and the Version 2.0 of Diagnosis-Related Groups(DRG),hereinafter referred to as DRG 2.0.LASSO regression was used to screen variables,and logistic regression analysis was employed to identify the risk factors of fund management and construct Nomogram prediction model.Results:With the implementation of DRG 2.0,the proportion of cases with fund management risks increased from 23.47％to 25.16％,and the overall surplus rate decreased from 14.97％to 12.57％.Logistic regression showed that age,type of medical insurance,mode of admission,and the CCI comorbidity index were significant influencing factors in fund risk management(P＜0.05),while the use of centrally procured medical consumables had a protective effect.The constructed model had an AUC of 0.827,indicating a certain level of predictive performance.Analysis of high-risk management combinations showed that cases with employee medical insurance,emergency admission,no use of centrally procured medical consumables,and non-surgical treatment were the focus of fund payment management.Conclusions:The adjustment of DRG 2.0 has reduced the deviation of overruns and surpluses among cases.Medical institutions need to strengthen their own management,optimize practical processes,and focus on the refinement of medical insurance fund management.

Objective:To estimate the longitudinal association between serum lipid biomarkers and the development of cardiometabolic multimorbidity (CMM) in middle-aged and old adults (≥45) in China, while examining effect differences among degree of dyslipidemia aggregation and various dyslipidemia combination patterns.Methods:Based on data from the China Health and Retirement Longitudinal Study (2011-2018), logistic regression analysis was used to evaluate the associations of TC, LDL-C, HDL-C, TG (4 forms of dyslipidemias), degree and pattern of dyslipidemia combination with CMM. We also used restricted cubic splines to show the dose-response associations between 4 lipid biomarkers and CMM development.Results:Of the 6 522 participants included, 590 (9.05%) developed CMM. After adjusting for covariates, all 4 forms of dyslipidemias were positively associated with CMM development (high TC: OR=1.33, 95% CI: 1.03-1.71; high LDL-C: OR=1.35, 95% CI: 1.05-1.75; low HDL-C: OR=1.45, 95% CI: 1.19-1.77; high TG: OR=1.50, 95% CI: 1.20-1.88). The U-shaped dose-response relationship between LDL-C and CMM development was observed ( P for non-linear =0.022). The odds of CMM increased with the increase of dyslipidemias forms, which was highest in those with ≥3 forms of dyslipidemias ( OR=2.02, 95% CI: 1.33-3.06). In various dyslipidemia form combinations, the possibility of CMM development was highest in those with high TC, high LDL-C and low HDL-C ( OR=3.54, 95% CI: 1.40-8.67). High TC and high LDL-C were significantly associated with CMM development in people without cardiometabolic diseases. Low HDL-C was positively associated with diabetes and CMM development in participants without cardiometabolic diseases, cardiovascular disease (CVD) followed by diabetes, and diabetes followed by CVD. High TG was positively associated with diabetes and CMM in participants without cardiometabolic diseases, and diabetes followed by CVD. Conclusions:A total of 4 forms of dyslipidemia were all independently associated with CMM development in middle-aged and old adults in China. The dose-response relationship between LDL-C level and CMM development was U-shaped. The aggregation of 4 forms of dyslipidemia were associated with the development of CMM. Low HDL-C and high TG were significantly associated with multiple patterns of cardiometabolic diseases development.

Objective:To investigate the influence of curative-intent resection with textbook outcomes of liver surgery (TOLS) on long-term prognosis of gallbladder carcinoma (GBC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 824 patients with GBC in the national multicenter database of Biliary Surgery Group of Elite Group of Chinese Journal of Digestive Surgery, who were admitted to 15 medical centers from January 2014 to January 2021, were collected. There were 285 males and 539 females, aged (62±11)years. According to the evalua-tion criteria of TOLS, patients were divided into those who achieved TOLS and those who did not achieve TOLS. Measurement data with normal distribution were represented as Mean± SD, and com-parison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data were conduc-ted using the Mann-Whitney U test. The Kaplan-Meier method was used to calculate survival rate and draw survival curve, and the Log-rank test was used for survival analysis. The COX stepwise regression model with backward Wald method was used for univariate and multivariate analyses. Results:(1) Achievement of TOLS. Of the 824 patients undergoing curative-intent resection for GBC, there were 510 cases achieving TOLS and 314 cases not achieving TOLS. (2) Follow-up. Of the 824 patients undergoing curative-intent resection for GBC, after excluding 112 deaths within 90 days after discharge, 712 cases were included for the survival analysis. The median follow-up time, median overall survival time and 5-year overall survival rate of the 510 patients achieving TOLS were 22.1(11.4,30.1)months, 47.6(30.6,64.6)months and 47.5%. The median follow-up time, median overall survival time and 5-year overall survival rate of the 202 patients not achieving TOLS were 14.0(6.8,25.5)months, 24.3(20.0,28.6)months and 21.0%. There was a significant difference in overall survival between patients achieving TOLS and patients not achieving TOLS ( χ2=58.491, P<0.05). (3) Analysis of factors influencing prognosis of patients. Results of multivariate analysis showed that TOLS, carcinoembryonic antigen (CEA), CA19-9, poorly differentiation of tumor, T2 stage of eighth edition of American Joint Committee on Cancer (AJCC) staging, T3 and T4 stage of eighth edition of AJCC staging, N1 stage of the eighth edition of AJCC staging, N2 stage of the eighth edition of AJCC staging, adjuvant therapy were independent factors influencing overall survival time of patients undergoing curative-intent resection for GBC ( hazard ratio=0.452, 1.479, 1.373, 1.612, 1.455, 1.481, 1.835, 1.978, 0.538, 95% c onfidence interval as 0.352-0.581, 1.141-1.964, 1.052-1.791, 1.259-2.063, 1.102-1.920, 1.022-2.147, 1.380-2.441, 1.342-2.915, 0.382-0.758, P<0.05). Conclusion:Patients under-going curative-intent resection for GBC with TOLS can achieve better long-term prognosis.

The Menghe Medical School is a highly influential academic school of Chinese medicine in China.Its academic features are mainly learning from others'strengths,openness and tolerance;integrity as the foundation,communication as the strength;harmo-ny as the way,and agility as the technique.The Menghe Medical School originated in Menghe,developed in Shanghai,spread all over the country,and spread around the world.The reasons for the prosperity and development of the Menghe Medical School are analyzed.Among them,imperial doctors being rewarded and supported,the stars having their roots in Menghe,inheritance from teach-ers by blood,help from in-laws,and the establishment of education and leadership in development are the main factors.On the basis of inheriting the scholarship of Menghe Medical School,Professor Tong Xiaolin innovatively proposed academic ideas such as the train-ing path of Xiang thinking,state-target differentiation and treatment,and dosage and effectiveness of prescriptions and medicines,pushing the academic thought of Menghe Medical School to a new theoretical peak in the new era.Based on the majestic development path of the Menghe Medical School,the implications for the inheritance,innovation and development of modern Chinese medicine are analyzed.

Objective To explore the value of 11C-methionine(MET)PET/CT radiomics model for evaluating isocitrate dehydrogenase1(IDH1)status of glioblastoma.Methods Data of 157 patients with glioblastoma who underwent 11C-MET PET/CT examination,including 68 cases of IDH1 mutation and 89 cases of IDH1 wild-type were retrospectively analyzed.The patients were divided into training set(n=125)and validation set(n=32)at the ratio of 8:2.Based on PET/CT images,lesions ROI were delineated and radiomics features were extracted and screened to establish radiomics models with logistic regression(LR),support vector machine(SVM)and decision trees(DT),respectively.Meanwhile,the nomogram based on patients'age and radiomics features was drawn.The efficacy of radiomics models and clinical-radiomics nomogram for evaluating IDH1 status were comparatively observed.Results The area under the curve(AUC)of DT radiomics model for evaluating IDH1 status of glioblastoma in training set was 0.910,higher than that of LR(0.697)and SVM(0.698)models(both P＜0.05).In validation set,the AUC of DT model for evaluating IDH1 status of glioblastoma was 0.805,which was higher than that of LR model(0.740)and clinical-radiomics nomogram(0.704)(both P＜0.05).Conclusion 11C-MET PET/CT radiomics model based on DT was helpful for evaluating IDH1 status of glioblastoma.

Objective To systematically evaluate the risk prediction model for central venous catheter-related bloodstream infections and provide references for clinical practice.Methods Databases such as CNKI,Wanfang,CBM,VIP,PubMed,Web of Science,Cochrane Library,etc.were retrieved.The search period is from database establishment to June 2,2023.There are 2 researchers who independently screened and extracted the literature,and evaluated the quality of the literature using bias assessment tools of predictive model risk.Results A total of 9 articles were included,including 9 risk prediction models for catheter-related bloodstream infections.The total sample size was 80～11 901 cases;the number of outcome events was 19～403 cases;the C index of the included model was 0.81～0.93.The area under the curve of the subjects ranged from 0.73～0.90.The predictors that appear more frequently in the model mainly included the history of diabetes,albumin value,the number of days of catheterization,the location of catheterization.The evaluation results of the bias assessment tool of predictive model risk for research show that the overall applicability of the included risk prediction models is good,but the bias risk is high.The reasons are related to the improper source of research sample data,inappropriate processing of continuous variable methods,failure to process missing data,insufficient model performance evaluation,and non-standard evaluation indicators.Conclusion There are still some shortcomings in the risk prediction model for central venous catheter-related bloodstream infections.In the future,the quality of related model research should be further improved,especially in terms of predictive factor analysis,model evaluation indicators,etc.,which should be further standardized.