ObjectiveBased on the theory of "spleen governing transportation and transformation"， this study investigates the efficacy of Atractylodis Macrocephalae Rhizoma processed with Aurantii Fructus Immaturus juice（AMR-AFI） in improving slow-transit constipation（STC）， as well as the synergistic regulatory mechanism involving the microbiota-metabolism axis， thereby elucidating the scientific basis of its processing theory. MethodsAnimals were randomly divided into the control group， model group， positive drug（mosapride） group（3 mg·kg^-1）， and low-， medium-， and high-dose groups of AMR-AFI（3.9， 7.8， 15.6 g·kg^-1）. Except for the control group， the remaining five groups were induced with STC using loperamide hydrochloride. Following modeling， interventions were administered. All groups received continuous administration for 15 d， during which fecal samples， colon tissue， and serum were collected. Constipation improvement was assessed by measuring fecal moisture content and small intestinal propulsion rate， histological morphology of colonic tissue was observed via hematoxylin-eosin（HE） staining， and the levels of interleukin（IL）-6， tumor necrosis factor（TNF）-α， and IL-2 in serum were detected using enzyme-linked immunosorbent assay（ELISA）. Furthermore， the microbial community structure in mouse feces was analyzed by 16S rRNA sequencing， while transcriptomic sequencing was employed to screen differentially expressed genes in colonic tissue， followed by gene ontology（GO） and Kyoto Encyclopedia of Genes and Genomes（KEGG） enrichment analyses. Finally， Spearman correlation analysis was conducted to explore the association between differential microbiota and differential genes. ResultsCompared with the control group， the intestinal propulsion rate and fecal moisture content in the model group were significantly decreased（P<0.01）， while serum levels of IL-6， TNF-α， and IL-2 were significantly elevated（P<0.01）. HE staining showed damage and shedding of colonic mucosal epithelial cells， along with a reduction in goblet cells in the model group. In comparison with the model group， all treatment groups improved the pathological state of the colonic mucosa to varying degrees and reduced serum levels of IL-6， TNF-α， and IL-2（P<0.01）. Among these， the high-dose group of AMR-AFI significantly increased the intestinal propulsion rate and fecal moisture content of rats（P<0.05， P<0.01）. Further transcriptomic analysis revealed that a total of 104 differentially expressed genes were identified from comparisons between the model group and the control group， as well as between the model group and the high-dose group of AMR-AFI. These genes were mainly enriched in pathways closely related to STC pathogenesis， such as arachidonic acid metabolism and aldosterone-regulated sodium reabsorption. 16S rRNA sequencing results indicated that AMR-AFI reversed the structural imbalance of the gut microbiota in model mice， increased species richness， downregulated the relative abundance of pro-inflammatory bacteria such as Parasutterella， and enriched beneficial and butyrate-producing bacteria， including Lachnospiraceae_NK4A136_group， Ruminococcaceae， and Lachnospiraceae. Spearman correlation analysis further showed that the beneficial bacteria enriched in the AMR-AFI group were negatively correlated with genes involved in the arachidonic acid metabolic pathway and positively correlated with genes in the aldosterone-regulated sodium reabsorption pathway. In contrast， pro-inflammatory bacteria in the model group exhibited the opposite correlation trends. ConclusionAMR-AFI can effectively exert synergistic therapeutic effects on STC by regulating intestinal microbiota， arachidonic acid-mediated inflammatory metabolism， and aldosterone-regulated water-salt balance pathways.

ObjectiveBased on the theory of "spleen governing transportation and transformation"， this study investigates the efficacy of Atractylodis Macrocephalae Rhizoma processed with Aurantii Fructus Immaturus juice（AMR-AFI） in improving slow-transit constipation（STC）， as well as the synergistic regulatory mechanism involving the microbiota-metabolism axis， thereby elucidating the scientific basis of its processing theory. MethodsAnimals were randomly divided into the control group， model group， positive drug（mosapride） group（3 mg·kg^-1）， and low-， medium-， and high-dose groups of AMR-AFI（3.9， 7.8， 15.6 g·kg^-1）. Except for the control group， the remaining five groups were induced with STC using loperamide hydrochloride. Following modeling， interventions were administered. All groups received continuous administration for 15 d， during which fecal samples， colon tissue， and serum were collected. Constipation improvement was assessed by measuring fecal moisture content and small intestinal propulsion rate， histological morphology of colonic tissue was observed via hematoxylin-eosin（HE） staining， and the levels of interleukin（IL）-6， tumor necrosis factor（TNF）-α， and IL-2 in serum were detected using enzyme-linked immunosorbent assay（ELISA）. Furthermore， the microbial community structure in mouse feces was analyzed by 16S rRNA sequencing， while transcriptomic sequencing was employed to screen differentially expressed genes in colonic tissue， followed by gene ontology（GO） and Kyoto Encyclopedia of Genes and Genomes（KEGG） enrichment analyses. Finally， Spearman correlation analysis was conducted to explore the association between differential microbiota and differential genes. ResultsCompared with the control group， the intestinal propulsion rate and fecal moisture content in the model group were significantly decreased（P<0.01）， while serum levels of IL-6， TNF-α， and IL-2 were significantly elevated（P<0.01）. HE staining showed damage and shedding of colonic mucosal epithelial cells， along with a reduction in goblet cells in the model group. In comparison with the model group， all treatment groups improved the pathological state of the colonic mucosa to varying degrees and reduced serum levels of IL-6， TNF-α， and IL-2（P<0.01）. Among these， the high-dose group of AMR-AFI significantly increased the intestinal propulsion rate and fecal moisture content of rats（P<0.05， P<0.01）. Further transcriptomic analysis revealed that a total of 104 differentially expressed genes were identified from comparisons between the model group and the control group， as well as between the model group and the high-dose group of AMR-AFI. These genes were mainly enriched in pathways closely related to STC pathogenesis， such as arachidonic acid metabolism and aldosterone-regulated sodium reabsorption. 16S rRNA sequencing results indicated that AMR-AFI reversed the structural imbalance of the gut microbiota in model mice， increased species richness， downregulated the relative abundance of pro-inflammatory bacteria such as Parasutterella， and enriched beneficial and butyrate-producing bacteria， including Lachnospiraceae_NK4A136_group， Ruminococcaceae， and Lachnospiraceae. Spearman correlation analysis further showed that the beneficial bacteria enriched in the AMR-AFI group were negatively correlated with genes involved in the arachidonic acid metabolic pathway and positively correlated with genes in the aldosterone-regulated sodium reabsorption pathway. In contrast， pro-inflammatory bacteria in the model group exhibited the opposite correlation trends. ConclusionAMR-AFI can effectively exert synergistic therapeutic effects on STC by regulating intestinal microbiota， arachidonic acid-mediated inflammatory metabolism， and aldosterone-regulated water-salt balance pathways.

Objective To investigate the effect of unilateral or bilateral transcranial direct current stimulation(tDCS)on post-stroke dysphagia.Methods From February,2023 to March,2025,27 stroke patients with dysphagia and nasal feeding in Beijing Bo'ai Hos-pital were randomly divided into healthy side stimulation group,bilateral stimulation group and sham stimulation group,with nine cases in each group.All the groups received conventional swallowing training and tDCS,while the healthy side stimulation group stimulated on the healthy side of oropharyngeal cortex;and the bilateral stimu-lation group alternatively stimulated bilateral oropharyngeal cortex,with one hour interval between bilateral stim-ulation;the sham stimulation group stimulated the healthy side of oropharyngeal cortex for 30 seconds and then stop.The course lasted two weeks.The scores of Standard Swallowing Function Assessment Scale(SSA),Modi-fied Mann Assessment of Swallowing Ability(MMASA)and Rosenbek Penetration-Aspiration Scale(PAS)were compared before and after treatment.Results The intra-group effect(F=16.185,P<0.01)was significant in the scores of SSA,the intra-group effect(F=28.650,P<0.01)and interaction effect(F=3.453,P<0.01)were significant in the scores of MMASA,and there was no significant difference in the inter-group effect,intra-group effect and interaction effect in the scores of PAS(P>0.05).Post hoc test showed that there was no significant difference in the scores of SSA,MMASA and PAS among three groups(P>0.05).There was significant difference in the score difference of MMASA be-fore and after treatment among three groups(F=4.698,P<0.05).Post hoc test showed that the score difference of MMAS was more in the healthy side stimulation group than in the bilateral stimulation group and the sham stimulation group(P<0.05),with no significant difference between the bilateral stimulation group and the sham stimulation group(P>0.05).Conclusion tDCS can partly improve post-stroke dysphagia.The healthy side anode stimulation is superior to the alter-nating bilateral hemisphere anode stimulation.

Objective:To construct logistic regression, decision tree, and neural network models to predict pressure injury in neurocritically ill patients using machine learning algorithms, and compare the predictive performance of the three models.Methods:The clinical data of 341 neurocritically ill patients who received treatment in the Department of Neurosurgery at The First Affiliated Hospital of Wenzhou Medical University from May 2020 to February 2023 were collected retrospectively. The patients were randomly divided into a training set and a testing set in a 7:3 ratio. Univariate and multivariate analyses were conducted based on the clinical data from the training set. According to the results of the multivariate analysis, logistic regression, decision tree, and neural network models were constructed. The predictive performance of the three models was validated and compared using receiver operating characteristic curve analysis.Results:Among the 341 patients, 35 developed pressure injury (a total of 40 occurrences), with an incidence rate of 10.26%. Multivariate analysis indicated that incontinence ( OR = 47.32, 95% CI: 1.360-1 647.700), decreased albumin levels ( OR = 0.56, 95% CI: 0.360-0.870), increased sensory ability ( OR = 0.00, 95% CI: 0.000-0.190), and increased mobility ( OR = 0.03, 95% CI: 0.000-0.390) were independent risk factors for pressure injury in neurocritically ill patients (all P < 0.05). Based on these independent risk factors, logistic regression, decision tree, and neural network models were constructed. Receiver operating characteristic curve analysis revealed that the area under the curve for the three models was 0.987 (95% CI: 0.941-0.999), 0.945 (95% CI: 0.881-0.980), and 0.908 (95% CI: 0.834-0.956), respectively. These results suggest that all three models exhibited high predictive performance for pressure injury in neurocritically ill patients, with the logistic regression model showing a significantly greater area under the curve than the neural network model. Conclusions:The occurrence of pressure injury in neurocritically ill patients is closely related to incontinence, albumin levels, sensory ability, and mobility. Constructing predictive models using machine learning algorithms can provide valuable insights for the early prevention and management of pressure injury in neurocritically ill patients.

OBJECTIVE To analyze the reasons for the outbreak of suspected carbapenem-resistant Acinetobacter baumannii(CRAB)infections in the neurosurgical intensive care unit to take comprehensive prevention and con-trol measures to control the spread of infections,and to provide a reference for the control of multidrug-resistant organisms(MDRO)infections in intensive care units.METHODS Epidemiological data were collected from five patients with CRAB infections in the neurosurgical intensive care unit of Gansu Provincial People's Hospital in Mar.2024,and environmental hygiene monitoring and comprehensive infection prevention and control measures were conducted.RESULTS A total of five cases of lower respiratory tract infections occurred,all of which were hospital-acquired infections,and all patients had consistent spatial-temporal distribution.A.baumannii was detec-ted in the sputum cultures of all patients,and all were resistant to carbapenems,aminoglycosides and some β-lac-tam drugs.Before the implementation of comprehensive prevention and control measures,a total of 25 samples from the surfaces and the hands of health workers were collected,with a pass rate of 52.00％;CRAB was detected on the surface of treatment carts and the wall of sputum suction bottles in the treatment room,with a detection rate of 8.00％.After the implementation,a total of 24 samples were collected,with a pass rate of 100.00％,and the difference was statistically significant when compared with the pre-implementation period(χ2=16.987,P<0.001).Through the implementation of comprehensive measures such as isolation,standardization of the ward cleaning and disinfection process,strengthening hand hygiene,standardization of sterile operations and personnel management,the indicators such as hand hygiene compliance rate,the execution rate of multi-drug-resistant bac-terial preventive and control measures and the fluorescent marker removal rate were all improved,and the suspec-ted CRAB infection outbreak was timely controlled.CONCLUSION This suspected CRAB hospital-acquired infec-tion outbreak may be related to a variety of factors,and timely environmental hygiene monitoring and comprehen-sive infection prevention and control measures can effectively control the spread of CRAB infection.

Objective To investigate the effect of unilateral or bilateral transcranial direct current stimulation(tDCS)on post-stroke dysphagia.Methods From February,2023 to March,2025,27 stroke patients with dysphagia and nasal feeding in Beijing Bo'ai Hos-pital were randomly divided into healthy side stimulation group,bilateral stimulation group and sham stimulation group,with nine cases in each group.All the groups received conventional swallowing training and tDCS,while the healthy side stimulation group stimulated on the healthy side of oropharyngeal cortex;and the bilateral stimu-lation group alternatively stimulated bilateral oropharyngeal cortex,with one hour interval between bilateral stim-ulation;the sham stimulation group stimulated the healthy side of oropharyngeal cortex for 30 seconds and then stop.The course lasted two weeks.The scores of Standard Swallowing Function Assessment Scale(SSA),Modi-fied Mann Assessment of Swallowing Ability(MMASA)and Rosenbek Penetration-Aspiration Scale(PAS)were compared before and after treatment.Results The intra-group effect(F=16.185,P<0.01)was significant in the scores of SSA,the intra-group effect(F=28.650,P<0.01)and interaction effect(F=3.453,P<0.01)were significant in the scores of MMASA,and there was no significant difference in the inter-group effect,intra-group effect and interaction effect in the scores of PAS(P>0.05).Post hoc test showed that there was no significant difference in the scores of SSA,MMASA and PAS among three groups(P>0.05).There was significant difference in the score difference of MMASA be-fore and after treatment among three groups(F=4.698,P<0.05).Post hoc test showed that the score difference of MMAS was more in the healthy side stimulation group than in the bilateral stimulation group and the sham stimulation group(P<0.05),with no significant difference between the bilateral stimulation group and the sham stimulation group(P>0.05).Conclusion tDCS can partly improve post-stroke dysphagia.The healthy side anode stimulation is superior to the alter-nating bilateral hemisphere anode stimulation.

Objective:To construct logistic regression, decision tree, and neural network models to predict pressure injury in neurocritically ill patients using machine learning algorithms, and compare the predictive performance of the three models.Methods:The clinical data of 341 neurocritically ill patients who received treatment in the Department of Neurosurgery at The First Affiliated Hospital of Wenzhou Medical University from May 2020 to February 2023 were collected retrospectively. The patients were randomly divided into a training set and a testing set in a 7:3 ratio. Univariate and multivariate analyses were conducted based on the clinical data from the training set. According to the results of the multivariate analysis, logistic regression, decision tree, and neural network models were constructed. The predictive performance of the three models was validated and compared using receiver operating characteristic curve analysis.Results:Among the 341 patients, 35 developed pressure injury (a total of 40 occurrences), with an incidence rate of 10.26%. Multivariate analysis indicated that incontinence ( OR = 47.32, 95% CI: 1.360-1 647.700), decreased albumin levels ( OR = 0.56, 95% CI: 0.360-0.870), increased sensory ability ( OR = 0.00, 95% CI: 0.000-0.190), and increased mobility ( OR = 0.03, 95% CI: 0.000-0.390) were independent risk factors for pressure injury in neurocritically ill patients (all P < 0.05). Based on these independent risk factors, logistic regression, decision tree, and neural network models were constructed. Receiver operating characteristic curve analysis revealed that the area under the curve for the three models was 0.987 (95% CI: 0.941-0.999), 0.945 (95% CI: 0.881-0.980), and 0.908 (95% CI: 0.834-0.956), respectively. These results suggest that all three models exhibited high predictive performance for pressure injury in neurocritically ill patients, with the logistic regression model showing a significantly greater area under the curve than the neural network model. Conclusions:The occurrence of pressure injury in neurocritically ill patients is closely related to incontinence, albumin levels, sensory ability, and mobility. Constructing predictive models using machine learning algorithms can provide valuable insights for the early prevention and management of pressure injury in neurocritically ill patients.

Objective To establish a classification tree model for non-alcoholic fatty liver disease(NAFLD)among aircrews,screen for influencing factors of NAFLD,so as to provide scientific basis for prevention and intervention decisions for NAFLD.Methods Aircrews who underwent recuperation at a sanatorium from January 2019 to December 2023 were selected as the research objects.Their annual physical examination data were collected and the NAFLD detection rate was calculated.Age,body mass index(BMI),blood pressure,waist circumference,blood routine,biochemistry indexes,and thyroid function were incorporated,and a NAFLD risk model was constructed using classification regression tree method.The predictive performance of the NAFLD classification tree model was evaluated through model misclassification matrix,risk statistics,and receiver operating characteristic curve.Results A total of 4088 aircrews were included in the study,and NAFLD was detected in 380 persons(380/4088,9.30%).The NAFLD model consisted of three layers,and five explanatory variables affecting the onset of NAFLD were extracted,including BMI,triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),alanine aminotransferase(ALT),and total bilirubin(TBIL).BMI was located at the top of the classification tree and was the most important risk factor for NAFLD in aircrews.The area under the curve(AUC)of the model was 0.853.The predictive accuracy of NAFLD was 90.9%,indicating that the model has good accuracy and fitting effect.Conclusion In this study,the detection rate of NAFLD in aircrews was 9.30%.BMI,TG,HDL-C,ALT,and TBIL are risk factors for the onset of NAFLD.NAFLD is mainly related to weight gain and lipid metabolism disorders caused by unhealthy lifestyles.

The incidence of cardiovascular diseases(CVD)has been increasing year by year,with atherosclerosis(As)being the leading cause in terms of both incidnce and mortality for CVD in China.Traditional theories suggest that the pathogenesis of atherosclerotic CVD is associated with endothelial dysfunction and inflammatory responses caused by the accumulation of oxidized low density lipoprotein(ox-LDL).However,recent studies have demonstrated that perivascular adipose tissue(PVAT)can positively influence the occurrence and development of CVD through the vascular adventitia pathway.This article reviews the connection between PVAT and CVD,effective pathways for promoting CVD improve-ment,and the regulatory role of AMP-activated protein kinase(AMPK)on PVAT,aiming to explore effective intervention targets for CVD.

OBJECTIVE To explore the differences in the clinical laboratory test indexes between the patients with two different TCM syndrome types of eczema(dampness-heat infiltration type and non-dampness-heat infiltration type)and observe the distribution and drug resistance rate of pathogens isolated from the skin lesions so as to pro-vide bases for syndrome differentiation and reasonable use of antibiotics.METHODS A total of 180 patients with eczema who were positive for bacterial culture of skin secretions and were treated in Beijing Hospital of Traditional Chinese Medicine from Jan.2021 to Dec.2023 were enrolled in the study and were divided into the dampness-heat infiltration group with 134 cases and the non-dampness-heat infiltration group with 46 cases.The data of clini-cal laboratory test indexes were collected from the two groups of patients,the secretion specimens were sampled from the skin lesion sites,the isolated pathogens were identified by VITEK 2 Compact automatic microorganism analysis system,and the drug susceptibility testing was performed.RESULTS The direct bilirubin level of the dampness-heat infiltration group was(3.99±1.62)umol/L,higher than(3.46±1.12)umol/L of the non-damp-ness-heat infiltration group(P＜0.05),but both were in the normal range;there were no significant differences in other test indexes between the two groups.Totally 180 strains of pathogens were isolated from the 180 patients with eczema,156(86.67％)of which were gram-positive bacteria;Staphylococcus aureus(98 strains),Staphy-lococcus epidermidis(29 strains)and Staphylococcus haemolyticus(15 strains)were the predominant species of the gram-positive bacteria.The gram-negative bacteria accounted for 12.22％(22 strains).The drug resistance rate of the S.aureus strains to penicillin was up to 82.65％,and the isolation rate of methicillin-resistant Staphy-lococcus aureus(MRSA)was 12.24％(12/98);the drug resistance rates of the S.epidermidis strains to penicil-lin and erythromycin were 75.86％,and the drug resistance rate of the S.haemolyticus strains to erythromycin was 100.00％.CONCLUSIONS The gram-positive bacteria(dominated by the S.aureus)are dominant among the pathogens isolated from the skin lesion specimens of the eczema patients and are highly resistant to penicillin and erythromycin.The isolation rate of MRSA is relatuvely low.There is limited clinical significant difference in the direct bilirubin between the two groups.It is necessary to further explore more reliable indexes for syndrome dif-ferentiation.