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.

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

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.

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 evaluate the effectiveness,safety and economy of the clinical application of levetiracetam(LEV)concentrated solution for injection generic drug and the original drug in the national centralized volume-based procurement.Methods The information of inpatients using original LEV concentrated solution for injection in the Xuanwu Hospital of Capital Medical University(original drug group)and inpatients using generic LEV concentrated solution for injection in the First Affiliated Hospital of Wannan Medical College(generic drug group)was retrospectively analyzed after the implementation of the procurement policy(from November 2021 to March 2022).To compare the effectiveness,safety and economy of the two in the prevention and treatment of epilepsy.Results In the original drug group and the generic drug group,18 and 17 patients were enrolled in the treatment of epilepsy respectively,the effective rates were 50.00％and 58.82％,the incidence of adverse reactions were both 0％,and the median daily cost was 255.00(255.00,510.00)yuan and 131.78(131.78,131.78)yuan.After propensity score matching,both the original drug group and the generic drug group had 76 patients each received preventive medication,the effective rates were 97.37％and 100％(P＞0.05),and the incidence of adverse reactions were both 0％.The median daily fee for the original the generic drug group was 170.00(170.00,170.00)yuan and 131.78(131.78,131.78)yuan,there were significant difference(P＜0.01).Conclusion The clinical effect of generic and original LEV concentrated solution for injection in preventing epilepsy is basically the same,the clinical safety are equivalent,the generic has better economy than the original.The effective rate of the treatment of epilepsy is similar,while the sample size needs to be further expanded to verify the results.

Purpose To investigate the predictive value of 18F-FDG PET/CT radiomic features before treatment for progression free survival(PFS)and overall survival(OS)in diffuse large B-cell lymphoma(DLBCL).Materials and Methods A total of 135 patients with pathologically proven DLBCL in Chinese PLA General Hospital from January 2016 to December 2018 and 18F-FDG PET/CT imaging prior to treatment were retrospectively collected.Patients were randomly divided into training set and test set using 8∶2,and then the training set was divided into training set and verification set using 8∶2 to construct the model.Semi-automatically delineated patients'lymphoma lesions as regions of interest and extracted the features.Univariate COX and least absolute shrinkage and selection operator regression were used to screen the features,and the non-zero radiomic features were obtained and the weight coefficients were used to calculate the Radscore value of each patient,and the predictive value of Radscore on PFS and OS was analyzed.Three models were established using traditional prognostic indicators(metabolic parameters and clinical factors),Radscore and combination.C-index,time-dependent area under the curve and decision curve were used to evaluate the model prediction efficiency.Finally,based on the optimal model,a column diagram was drawn,and the calibration curve was used to verify the efficiency of the column diagram.Results The combined model predicted PFS and OS at 3 and 5 years better than the traditional prognostic index model and Radscore model(Z=0.962 1-2.253 9,all P<0.05).Decision curve showed that the combined model achieved the greatest clinical net benefit.The calibration curve showed that the predicted values of the nomogram were in good agreement with the observed values.Conclusion Radscore is an independent prognostic factor for survival in DLBCL patients.The combined model has great application value in guiding the formulation of clinical individualized treatment plan.

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 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.

Objective To explore the regulatory and functional mechanism of angiopoietin-like 4(ANGPTL4)expression in gastric epithelial cells infected with Helicobacter pylori(H.pylori).Methods H.pylori-positive gastric specimens from Department of Gastroenterology of second Affiliated Hospital of Army Medical University in November 2021 and the gastric tissues of H.pylori-infected mice were collected,and the expression locations of ANGPTL4 in these gastric tissues were detected by immunofluorescence assay.After gastric epithelial cells and gastric organoids were infected with H.pylori,the expression of ANGPTL4 was detected by real-time PCR and Western blotting.The regulatory mechanism of H.pylori-induced ANGPTL4 expression was investigated by cellular models above.Recombinant ANGPTL4 was used to stimulate gastric epithelial cells to investigate the effect of ANGPTL4 on the claudin 1(CLDN1)expression.Results H.pylori infection significantly increased the expression of ANGPTL4 in gastric epithelial cells in a CagA-dependent,bacterial concentration-dependent and infection time-dependent manner(P＜0.05).Compared to uninfected cells and CagA knockout(ΔcagA)H.pylori-induced ones,the ANGPTL4 expression was significantly increased in WT H.pylori-infected human and mouse gastric organoid(P＜0.05).Blocking NF-κB signaling pathway significantly inhibited the enhanced ANGPTL4 expression in H.pylori-infected gastric epithelial cells(P＜0.05).Recombinant ANGPTL4 activated ERK signaling pathway to down-regulate the CLDN1 expression in gastric epithelial cells(P＜0.05).Conclusion H.pylori activates NF-κB signaling pathway to up-regulate ANGPTL4 expression in gastric epithelial cells in a CagA-dependent manner,and ANGPTL4 activates ERK signaling pathway to down-regulate the CLDN1 expression in gastric epithelial cells,which may contributes to the development of gastric diseases induced by H.pylori infection.