Objective:To deconstruct the overall medical expense and analyze systemic characteristics of cost structure dynamics in China from the perspective of optimizing healthcare resource allocation.Methods:Utilizing hospitalization records in a sample city from 2022-2023 as the research literature,the linear regression models for different cost components was established over the two-year period within each DRG-based case group to identify statistically significant temporal trends and directional changes in cost structures.Results:Most DRG groups exhibited significant trends in at least one cost component.Notable concentration patterns emerged in medication,comprehensive care and therapeutic service costs.When evaluating structure improvement,most achieved optimized allocation in at least one major cost component.Conclusion:The sample city demonstrates continuous optimization in healthcare cost structures,yet specific cost categories and DRG groups deviated from resource allocation optimization goals.Policy interventions should prioritize granular,DRG-specific adjustments to address heterogeneous structural dynamics.

Objective:To deconstruct the overall medical expense and analyze systemic characteristics of cost structure dynamics in China from the perspective of optimizing healthcare resource allocation.Methods:Utilizing hospitalization records in a sample city from 2022-2023 as the research literature,the linear regression models for different cost components was established over the two-year period within each DRG-based case group to identify statistically significant temporal trends and directional changes in cost structures.Results:Most DRG groups exhibited significant trends in at least one cost component.Notable concentration patterns emerged in medication,comprehensive care and therapeutic service costs.When evaluating structure improvement,most achieved optimized allocation in at least one major cost component.Conclusion:The sample city demonstrates continuous optimization in healthcare cost structures,yet specific cost categories and DRG groups deviated from resource allocation optimization goals.Policy interventions should prioritize granular,DRG-specific adjustments to address heterogeneous structural dynamics.

BACKGROUND: Meningeal metastasis (MM) is a form of malignant metastasis where tumor cells spread from the primary site to the pia mater, dura mater, arachnoid, subarachnoid space, and other cerebrospinal fluid compartments. Lung cancer is one of the most common malignant tumor types with MM. MM not only signifies that the lung cancer has progressed to an advanced stage but also leads to a range of severe clinical symptoms due to meningeal involvement. Currently, the risk factors associated with the development of MM are not fully elucidated. The aim of this study was to investigate the risk factors for MM in patients with lung adenocarcinoma (LUAD) who underwent non-surgical interventions, in order to identify LUAD patients at high risk for MM. METHODS: This retrospective study analyzed the clinical data of patients diagnosed with LUAD at the First Affiliated Hospital of Zhengzhou University from January 2020 to July 2024. Missing data were imputed using multiple imputation methods, and risk factors were identified through LASSO, univariate, and multivariate Logistic regression analyses. RESULTS: A total of 170 patients with LUAD were included in this study and divided into two groups: 87 patients with MM and 83 patients without MM. Univariate and multivariate Logistic regression analyses revealed that younger age at diagnosis (P=0.004), presence of the epidermal growth factor receptor (EGFR) L858R gene mutation (P=0.008), and concurrent liver metastasis at baseline (P=0.004) were independent risk factors for developing MM in LUAD patients who did not undergo surgical intervention. Conversely, higher baseline globulin levels (P=0.039) and the presence of the anaplastic lymphoma kinase (ALK) gene mutation (P=0.040) were associated with a reduced risk of MM development. CONCLUSIONS Age at diagnosis, EGFR L858R mutation status, ALK gene mutation status, concurrent liver metastasis, globulin levels at baseline were significantly associated with the risk of developing MM in patients with LUAD patients who did not undergo surgical intervention. For patients diagnosed at a younger age, carrying the EGFR L858R mutation, or presenting with baseline liver metastasis, early implementation of tertiary prevention strategies for MM is crucial. Regular monitoring of MM status should be conducted in these high-risk groups.
Humans ; Male ; Adenocarcinoma of Lung/therapy* ; Female ; Middle Aged ; Risk Factors ; Lung Neoplasms/therapy* ; Retrospective Studies ; Aged ; Meningeal Neoplasms/genetics* ; Adult

ObjectiveTo investigate the effect and mechanism of Bukan Yilidan on perimenopausal psycho-cardiac disease by mitochondrial autophagy mediated by dynamin-related protein 1（Drp1）/phosphatase and tensin homolog（PTEN） induced putative kinase 1（PINK1）/Parkin pathway. MethodsSixty rats were randomly divided into the blank group， model group， western medicine group（isosorbide mononitrate 7.2 mg·kg^-1+sertraline hydrochloride tablets 18 mg·kg^-1）， Bukan Yilidan low， medium and high dose groups（2.59， 5.18， 10.35 g·kg^-1）， with 10 rats in each group. Except for the blank group， the rat model of perimenopausal psycho-cardiac disease was prepared by ovariectomy（OVX） combined with high-fat feeding， chronic unpredictable mild stress（CUMS） and subcutaneous multi-point injection of isoproterenol hydrochloride. After successful modeling， the general state and tongue image of rats were observed. The depression status of rats in vivo was evaluated by open field test， sucrose preference test， forced swimming immobility time and grip strength value， and the cardiac function of rats was evaluated by electrocardiogram and echocardiography. The levels of serum norepinephrine（NE）， dopamine（DA） and 5-hydroxytryptamine（5-HT） were detected by enzyme-linked immunosorbent assay（ELISA）， and biochemical detection was used to assess myocardial injury by measuring serum levels of high-density lipoprotein cholesterol（HDL-C）， low-density lipoprotein cholesterol（LDL-C）， triglyceride（TG）， total cholesterol（TC）， aspartate aminotransferase（AST）， alanine aminotransferase（ALT）， lactate dehydrogenase（LDH） and creatine kinase isoenzyme（CK-MB）. Hematoxylin-eosin（HE） and Nissl staining were used to observe the pathological status of hippocampus and myocardial tissue in rats， the status of mitophagosomes in hippocampus and myocardium was observed by transmission electron microscope（TEM）， and Western blot was used to detect the contents of Drp1， mitochondrial fusion protein 2（Mfn2）， optic atrophy protein 1（OPA1）， PINK1， Parkin， p62 and microtubule-associated protein light chain 3B（LC3B） in hippocampus and myocardium. ResultsCompared with the blank group， the food intake and water intake of rats in the model group decreased， the hair was dark yellow， the gloss and smoothness decreased， the spirit was depressed， the tongue was light purple or dark purple， accompanied by petechiae or ecchymosis， the sublingual collaterals were purple and black， and the tongue coating was white and smooth. The indexes of open field test， grip strength and sucrose preference of rats decreased significantly， and the immobility time of forced swimming increased significantly（P<0.01）. Electrocardiogram and echocardiography showed that ST segment was significantly depressed， and left ventricular fractional shortening（LVFS） and left ventricular ejection fraction（LVEF） were significantly decreased（P<0.05， P<0.01）. Pathological observation showed that the number of hippocampal neurons and myocardial cells decreased， and the structural damage was obvious. The levels of serum TC， TG， LDL-C， CK-MB， LDH， AST and ALT increased， while the levels of HDL-C， 5-HT， DA and NE decreased（P<0.05， P<0.01）. TEM showed obvious mitochondrial damage in hippocampus and myocardial tissue. The protein expressions of Drp1， PINK1， Parkin and p62 in hippocampus and myocardium were increased， while the protein expressions of OPA1， Mfn2 and LC3BⅡ/Ⅰ were decreased（P<0.05， P<0.01）. Compared with the model group， the mental state， body curling up， fear of cold and other symptoms of rats in each administration group were improved， and the degree of pale purple or dark purple tongue was reduced. The scores of open field test， grip strength， sucrose preference， LVFS and LVEF were increased， and the immobility time of forced swimming was shortened（P<0.05， P<0.01）. The ST segment of electrocardiogram had a significant recovery（P<0.01）， pathological observation showed that the damage of nerve cells and myocardial tissue was improved. The levels of serum TC， TG， LDL-C， CK-MB， LDH， AST and ALT decreased， while the levels of HDL-C， 5-HT， DA and NE increased（P<0.05， P<0.01）. TEM showed that mitochondrial damage was reduced in hippocampal neurons and cardiomyocytes with visible mitochondrial autophagosomes. The protein expressions of Drp1， PINK1， Parkin and p62 in hippocampus and myocardium were decreased， while the protein expressions of OPA1， Mfn2 and LC3BⅡ/Ⅰ were increased（P<0.05， P<0.01）. ConclusionBukan Yilidan can alleviate depression， lipid metabolism disorder and myocardial ischemia injury in rats with perimenopausal psycho-cardiac disease， and its mechanism may be related to inhibiting Drp1/PINK1/Parkin signaling pathway and enhancing mitochondrial autophagy.

The human oral microbiome harbors one of the most diverse microbial communities in the human body,playing critical roles in oral and systemic health.Recent technological innovations are propelling the characterization and manipulation of oral microbiota.High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes.New long-read platforms improve genome assembly from complex samples.Single-cell genomics provides insights into uncultured taxa.Advanced imaging modalities including fluorescence,mass spectrometry,and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution.Fluorescence techniques link phylogenetic identity with localization.Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification.Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches.Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly,gene expression,metabolites,microenvironments,virulence mechanisms,and microbe-host interfaces in the context of health and disease.However,significant knowledge gaps persist regarding community origins,developmental trajectories,homeostasis versus dysbiosis triggers,functional biomarkers,and strategies to deliberately reshape the oral microbiome for therapeutic benefit.The convergence of sequencing,imaging,cultureomics,synthetic systems,and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict,prevent,diagnose,and treat associated oral diseases.

The human oral microbiome harbors one of the most diverse microbial communities in the human body,playing critical roles in oral and systemic health.Recent technological innovations are propelling the characterization and manipulation of oral microbiota.High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes.New long-read platforms improve genome assembly from complex samples.Single-cell genomics provides insights into uncultured taxa.Advanced imaging modalities including fluorescence,mass spectrometry,and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution.Fluorescence techniques link phylogenetic identity with localization.Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification.Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches.Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly,gene expression,metabolites,microenvironments,virulence mechanisms,and microbe-host interfaces in the context of health and disease.However,significant knowledge gaps persist regarding community origins,developmental trajectories,homeostasis versus dysbiosis triggers,functional biomarkers,and strategies to deliberately reshape the oral microbiome for therapeutic benefit.The convergence of sequencing,imaging,cultureomics,synthetic systems,and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict,prevent,diagnose,and treat associated oral diseases.

In China,the cost weight of Diagnosis Related Group (DRG) payment generally adopts the historical data method. In order to adapt to medical costs at different levels of hospitals,medical insurance departments often set a grade coefficient to adjust the payment standard. However,the grade coefficient could solidify the"siphon effect"of high-level hospitals to some extent. In order to promote hierarchical diagnosis and treatment,some region select certain basic group which is suitable for treatment in primary hospitals,and cancel grade coefficient to achieve"same disease same price". It discusses the background and principle of same-disease-same-price policy,sorts out the current implementation status,analyzes the selection criteria and characteristics of basic DRG group and evaluates whether the selected groups coordinate policy principle,so as to provide references for improving the reform of DRG payment and promoting the hierarchical diagnosis and treatment system in China.

Objective:To explore the correlation between high cholinergic pathway signaling and cognitive function in patients with Parkinson disease(PD) accompanied with sleep disorder.Methods:PD patients admitted from 2017 to 2022 were divided into PD with sleep disorder group (PD-SD group) ( n=56) and PD without sleep disorder group (PD-NSD group) ( n=41) according to the Parkinson's disease sleep scale (PDSS) score. All participants underwent magnetic resonance imaging examination.All patients were evaluated by the PDSS, Hoehn-Yahr (H-Y), Montreal cognitive assessment scale (MoCA), and cholinergic pathways hyper intensities scale (CHIPS). The difference of cognitive function between the two groups and the correlation between CHIPS and cognitive function were analyzed.Independent sample t-test, Spearman correlation analysis, and binary Logistic regression analysis were performed on the data by SPSS 26.0 statistical software. Results:(1)The MoCA score of the PD-SD group (22.00 (5.00)) was lower than that of the PD-NSD group (26.00 (5.00)) ( Z=-3.830, P<0.05). The total and all aspects scores of CHIPS in PD-SD group were higher than those in PD-NSD group(the total score of the low external capsule: 12.00(8.00), 0(8.00), the total score of the high external capsule: 12.00(2.00), 6.00(9.00), the total score of the radial crown: 8.00(0), 4.00(4.00), the total score of the centrum semiovale: 3.00(4.00), 0(2.00), the total score of the right side: 16.00(9.00), 5.00(10.00), the total score of the left side: 17.00(6.00), 7.00(9.00), the total score of CHIPS: 32.00(14.00), 14.00(20.00))( Z=-5.081, -5.873, -4.933, -3.211, -5.562, -6.232, -5.995, all P<0.05). (2)The correlation analysis between the score of CHIPS and cognitive function in the PD-SD group showed that, the total score of the low external capsule ( r=-0.286), the total score of the centrum semiovale ( r=-0.307), the total score of the right side ( r=-0.376), the total score of the left side ( r=-0.284) and the total score of CHIPS ( r=-0.349) were negatively correlated with MoCA(all P<0.05). (3)Binary Logistic regression analysis showed that white matter lesions in centrum semiovale, low inner capsule, right and left leukodystrophy were not influence factors for cognitive impairment (all P>0.05). Conclusion:PD patients with sleep disorders have lower cognitive function scores, higher CHIPS scores, and significant changes in white matter lesions compared to those without sleep disorders. In PD patients with sleep disorders, the higher the CHIPS score, the lower the cognitive function score, and the more significant the rate of cognitive impairment occurrence and development.

The human oral microbiome harbors one of the most diverse microbial communities in the human body, playing critical roles in oral and systemic health. Recent technological innovations are propelling the characterization and manipulation of oral microbiota. High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes. New long-read platforms improve genome assembly from complex samples. Single-cell genomics provides insights into uncultured taxa. Advanced imaging modalities including fluorescence, mass spectrometry, and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution. Fluorescence techniques link phylogenetic identity with localization. Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification. Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches. Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly, gene expression, metabolites, microenvironments, virulence mechanisms, and microbe-host interfaces in the context of health and disease. However, significant knowledge gaps persist regarding community origins, developmental trajectories, homeostasis versus dysbiosis triggers, functional biomarkers, and strategies to deliberately reshape the oral microbiome for therapeutic benefit. The convergence of sequencing, imaging, cultureomics, synthetic systems, and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict, prevent, diagnose, and treat associated oral diseases.
Humans ; Phylogeny ; Biomimetics ; Dysbiosis ; Homeostasis ; Mass Spectrometry

The human oral microbiome harbors one of the most diverse microbial communities in the human body,playing critical roles in oral and systemic health.Recent technological innovations are propelling the characterization and manipulation of oral microbiota.High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes.New long-read platforms improve genome assembly from complex samples.Single-cell genomics provides insights into uncultured taxa.Advanced imaging modalities including fluorescence,mass spectrometry,and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution.Fluorescence techniques link phylogenetic identity with localization.Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification.Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches.Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly,gene expression,metabolites,microenvironments,virulence mechanisms,and microbe-host interfaces in the context of health and disease.However,significant knowledge gaps persist regarding community origins,developmental trajectories,homeostasis versus dysbiosis triggers,functional biomarkers,and strategies to deliberately reshape the oral microbiome for therapeutic benefit.The convergence of sequencing,imaging,cultureomics,synthetic systems,and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict,prevent,diagnose,and treat associated oral diseases.