Objective To observe hierarchical differences in brain functional networks in unilateral mesial temporal lobe epilepsy(mTLE)patients with different outcomes after surgery.Methods A total of 69 unilateral mTLE patients who underwent resection of epileptogenic lesion on the affected side were retrospectively enrolled.Based on Engel classification 1 year after surgery,the patients were divided into seizure free(SF)group and non-seizure free(NSF)group.Functional connectivity gradient analysis was employed to extract principal gradient explaining the highest variance on preoperative resting-state functional MRI(rs-fMRI),then the whole-brain gradient characteristics and principal gradient values within specific functional networks were compared between groups.Results Principal gradient connected default mode network(DMN)with sensorimotor network(SMN)along a continuous axis.Compared to SF group,NSF group showed a contracted gradient range at both ends(DMN and SMN)of the functional network and weakened hierarchical differentiation,and principal gradient value of DMN was higher,while that of SMN was lower than those in SF group(both P＜0.05).Conclusion Hierarchical differences in brain functional networks in unilateral mTLE patients with different outcomes after surgery mainly present as enhanced DMN and weakened SMN in NSF ones,and the latter two might serve as important neuroimaging markers for evaluating postoperative seizure recurrence.

Objective To observe the value of machine learning(ML)models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy(DR-mTLE).Methods Totally 84 patients with unilateral DR-mTLE who underwent surgery were retrospectively enrolled and classified into seizure free(SF)group(n=55)and non-seizure free(NSF)group(n=29)according to one-year postoperative follow-up.Clinical data were analyzed to screen independent predictors of postoperative outcomes.Based on brain preoperative resting-state functional MRI,brain functional networks were constructed using graph theory analysis,and 587 features were extracted.Five-fold cross validation was used to divide the data into training set and test set,then the optimal brain functional network features related to postoperative outcomes of DR-mTLE patients were selected.Combining with clinically relevant independent predictors,ML models were constructed using classifiers including Gaussian process(GP),logistic regression(LR),support vector machine(SVM)and quadratic discriminant analysis(QDA),respectively,and the prediction efficacy,calibration and clinical value of each ML model were evaluated.Results Both course of disease and lesion location were clinically relevant independent predictors of postoperative outcome of DR-mTLE patients(OR=0.928,5.710,P=0.010,0.016).Four optimal brain function network features were selected,including betweenness centrality of the third zone of cerebellar vermis,degree centrality of right globus pallidus,nodal efficiency of temporal left inferior temporal gyrus and nodal clustering coefficient of left inferior parietal lobule.The average area under the curve(AUC)of GP,LR,SVM and QDA models in test set was 0.868,0.864,0.875 and 0.870,respectively.Calibration curves and decision curve analysis indicated that each ML model had good calibration and high clinical net benefit.Conclusion ML models based on brain functional network features combining with clinical indicators could be used to effectively predict postoperative outcomes in DR-mTLE patients.

BACKGROUND: Asthma, one of the most widespread chronic respiratory diseases, has placed a considerable economic and social stress on China. This study examines the burden of asthma in China from 1990 to 2021 and forecasts future trends, providing guidance for establishing focused preventive and regulatory strategies. METHODS: Utilizing data from the Global Burden of Disease Database 2021, the analysis of trends in asthma burden was conducted for China from 1990 to 2021. Key indicators such as incidence, prevalence, mortality, and disability-adjusted life years (DALYs) were analysed. The investigation applied the estimated annual percentage change (EAPC), average annual percentage change (AAPC), and age-period-cohort model (APCM) to evaluate these trends. Furthermore, predictions for incidence and mortality in 2035 were generated using the Bayesian APCM and the Nordpred model. RESULTS: In 2021, there were 25,015,668 prevalent asthma cases in China, alongside 3,934,875 new cases and 26,233 deaths. The age-standardized incidence rate and age-standardized death rate for 2021 were 364.17 (95% uncertainty interval [95% UI]: 283.22-494.1) per 100,000 population and 1.47 (95% UI: 1.15-1.79) per 100,000 population, respectively. The age-standardized rates (ASRs) for incidence were detected to be elevated in the 0-4 years age group, and the prevalence was significantly higher in the 5-9 years age group compared to other cohorts. ASR for incidence and prevalence of asthma in China were lower than that in the global average. Between 1990 and 2021, the ASR of incidence, prevalence, mortality, and DALYs demonstrated a downward trajectory, with EAPC values of -1.17, -1.57, -4.69, and -2.98, respectively. People aged 0-9 years and over 60 years experienced a disproportionately higher disease burden. Projections indicate that the ASRs for incidence will continue to rise, whereas the death will continue to decline by 2035. CONCLUSIONS Between 1990 and 2021, a general reduction in the asthma burden in China was observed. However, the burden remains particularly high among people aged 0-9 years and over 60 years, underscoring the need for targeted interventions and policies to address the ongoing challenges of asthma.
Humans ; Asthma/mortality* ; China/epidemiology* ; Global Burden of Disease ; Incidence ; Disability-Adjusted Life Years ; Male ; Adult ; Middle Aged ; Child ; Adolescent ; Female ; Prevalence ; Child, Preschool ; Infant ; Aged ; Young Adult ; Infant, Newborn ; Bayes Theorem

OBJECTIVE To observe the effect of acupuncture combined with a modified Zhengan Xifeng Decoction on the early clinical symptoms and oxidative stress status of patients with hypertensive intracerebral hemorrhage(HICH)of liver-kidney yin defi-ciency syndrome.METHODS A total of 60 patients with hypertensive intracerebral hemorrhage(liver-kidney yin deficiency syn-drome)who successfully received 24-hour acute-phase treatment at the Department of Neurosurgery,Acupuncture and Rehabilitation Department,and wards of Kunshan Hospital Affiliated to Nanjing University of Chinese Medicine(Kunshan Traditional Chinese Medi-cine Hospital)from July 2021 to January 2023 were recruited.A randomization table generated by SPSS 22.0 software was used to di-vide the patients into a control group and an observation group,with 30 patients in each group.The control group received symptomatic treatment,conventional rehabilitation training,and modified Zhengan Xifeng Decoction,while the observation group received additional acupuncture treatment on the basis of the control group.The treatment course was 1 month for both groups.Clinical effective rate,TCM syndrome scores,motor and neurological function scores[Activity of Daily Living(ADL)scale,National Institutes of Health Stroke Scale(NIHSS),Modified Ashworth Scale(MAS),Simplified Fugl-Meyer Assessment(FMA)scale],improvement in hematoma lesions,Fraction anisotropy(FA)ratio(rFA),and serum levels of antioxidant stress response factors Kelch-like ECH-associated protein 1(Keap1)and nuclear factor-E2-related factor 2(Nrf2)were observed before and after treatment in both groups.RESULTS After treat-ment,the clinical effective rate in the observation group was significantly higher than that in the control group(P<0.05);the TCM syn-drome scores in both groups decreased significantly(P<0.05),with the observation group showing better results than the control group(P<0.05);the ADL and FMA scores in both groups reduced significantly(P<0.05,P<0.01),while the NIHSS and Ashworth Scale scores increased significantly(P<0.05,P<0.01),with the observation group showing better improvement than the control group(P<0.05);serum Keap1 levels decreased significantly in both groups(P<0.01),while Nrf2 levels enhanced significantly(P<0.05,P<0.01),with the observation group showing better improvement than the control group(P<0.05);imaging studies showed that after treat-ment,the residual hematoma volume decreased significantly in both groups(P<0.05,P<0.01),and the rFA value increased signifi-cantly(P<0.05,P<0.01),with the observation group showing better results than the control group(P<0.01).CONCLUSION On the basis of standard treatment for the acute phase,acupuncture combined with Zhengan Xifeng Decoction can significantly improve the early clinical symptoms of HICH patients with liver-kidney yin deficiency,reduce oxidative stress levels,and promote the recovery of nerve and motor functions.

Purpose To investigate the independent risk factors for early recurrence of solitary hepatocellular carcinoma after radiofrequency ablation based on gadoxetic acid disodium(Gd-EOB-DTPA)-enhanced MRI combined with clinical features.Materials and Methods Clinical and imaging data of hepatocellular carcinoma patients who underwent radiofrequency ablation at the First Affiliated Hospital of Henan University of Chinese Medicine from January 2019 to June 2022 were retrospectively collected.All patients underwent preoperative Gd-EOB-DTPA-enhanced MRI and were followed up for up to two years post-surgery.Univariate and multivariate Cox proportional hazards regression were performed to identify independent risk factors for recurrence after radiofrequency ablation.Results A total of 58 patients were finally included,including early recurrence group(n=22)and non-early recurrence group(n=36).Multivariate Cox regression analysis revealed that preoperative alpha-fetoprotein(AFP)levels(HR=1.103,95%CI 1.008-1.206,P=0.033),arterial-phase irregular margin enhancement(HR=4.647,95%CI 1.527-14.110,P=0.007),peritumoral arterial-phase enhancement(HR=11.575,95%CI 3.575-37.478,P=0.001)and peritumoral hepatobiliary phase hypointensity(HR=5.058,95%CI 1.129-22.668,P=0.034)were independent risk factors for early recurrence.The area under the curve for AFP combined with arterial-phase irregular margin enhancement,peritumoral arterial-phase enhancement and peritumoral hepatobiliary phase hypointensity were 0.896,0.842 and 0.860,with accuracy rates of 81.0%,84.5%and 82.8%,respectively.Conclusion Preoperative serum AFP levels,arterial-phase irregular margin enhancement,peritumoral arterial-phase enhancement and peritumoral hepatobiliary phase hypointensity are independent risk factors for early recurrence after radiofrequency ablation in hepatocellular carcinoma patients.The combination of AFP and any of these MRI features significantly improves predictive efficacy.

Objective To observe the therapeutic effect of Qiwei Tangmaishu capsules on type 2 diabetes mice,and explore the mechanisms of its treatment of type 2 diabetes based on network pharmacology.Methods TCMSP,ETCM databases were used to query all components and of Qiwei Tangmaishu capsules and their targets.OMIM and DrugBank databases were used to search for targets of type 2 diabetes.The targets of type 2 diabetes and Qiwei Tangmaishu capsules were intersected by Venny 2.1.0.to perform GO and KEGG pathway enrichment analysis on those intersecting targets using the Metascape website.Then,a mouse model of type 2 diabetes was established,and Qiwei Tangmaishu capsules were given to low,medium,and high dose groups(234,468,and 936 mg/kg,respectively),and metformin(MET)group(200 mg/kg)for 2 weeks.The weight of each mouse was measured before and after treatment,and fasting blood glucose was also measured.After the 2 weeks,fasting insulin was measured;ELISA was used to detect levels of inflammatory factors IL-1β,TNF-α,IL-6,TLR4,and NF-κB in serum;Hematoxylin eosin staining was used to observe the morphology of pancreatic islets;and Caspase 3 and INS immunofluorescence were used to detect apoptosis of pancreatic islet cells and the number of pancreatic beta cells.Western Blot assay was used to detect the expression levels of pancreatic tissue proteins such as p-Akt,Akt,p-PI3K,PI3K,Bax,Bcl2.Results 1260 active ingredient targets were identified in Qiwei Tangmaishu capsules;1205 targets of type 2 diabetes were found.Of these,312 targets were intersected by Venny,with core targets involving Akt1,TNF,IL-6,TLR4,among others.Enrichment analysis identified 240 KEGG pathways,among which"insulin resistance""PI3K/Akt signaling pathway"were the key pathways enriched.The animal experiment result showed that compared with the model group,the intervention of Qiwei Tangmaishu capsules and metformin significantly improved blood glucose and insulin resistance;the content of inflammatory factors in serum decreased,and the apoptosis rate of pancreatic islet cells significantly decreased;the number of pancreatic beta cells significantly increased;the expression of pro-apoptotic protein Bax decreased,the expression of anti-apoptotic protein Bcl2 significantly increased,and the expression of p-PI3K and p-Akt was upregulated.Conclusions Qiwei Tangmaishu capsules can significantly reduce blood glucose levels,restore insulin sensitivity,and reduce islet cell apoptosis in type 2 diabetic mice.The mechanism may be related to the activation of the PI3K/Akt signaling pathway.

With the continuous updates and iterations of molecular targeted drugs and immune checkpoint inhibitors,transcatheter arterial chemoembolization(TACE)combined with systemic targeted immunotherapy has become the main treatment method for unresectable hepatocellular carcinoma(HCC).However,due to the high heterogeneity of HCC,not all patients can get benefit from this combination therapy.In addition,due to the lack of specific prognostic markers,there are significant differences in therapeutic efficacy among individuals.Although various predictive indicators have achieved significant results in predicting the prognosis of HCC patients receiving TACE or targeted immunotherapy,there are few reports on the predictive prognosis of TACE combined with systemic targeted immunotherapy for HCC patients.This article explores the possibility and progress of using predictive indicators in personalized prediction of the prognosis of unresectable HCC patients undergoing TACE combined with targeted immunotherapy.It is expected to provide new ideas for clinical screening of beneficiary populations and improving patient prognosis.

Objective To investigate the mechanism of action and potential biomarkers of Jiangzhi Qingshen capsules in the treatment of dyslipidaemia based on clinical lipid metabolomics.Methods 30 patients with dyslipidaemia from Zhengzhou Hospital of Chinese Medicine were collected as the test group,and their lipid levels before and after taking Jiang Zhi Qing Shen capsule for 12 weeks were compared.Another 30 healthy patients were enrolled in the physical examination department of Zhengzhou Hospital of Chinese Medicine,and metabolomics investigation was carried out on plasma samples of the test group before and after the treatment as well as those of the healthy patients by LC-MS/MS technology.The differences between the groups were compared by multivariate statistical analysis,and the potential biomarkers were identified by HMDB and lipidblast databases,so as to clarify the possible pathways and targets for the treatment of mild dyslipidaemia by Jiangzhi Qingshen capsules.Results Jiangzhi Qingshen capsules could improve patients' blood lipid level,BMI and abdominal circumference significantly(P<0.05).And metabolomics results showed that 29 lipid metabolites in the plasma of the treated patients were dialled back,which involved cholesterol metabolism,fat digestion and absorption,glycerol-phospholipid metabolism and other biological processes.Conclusion The efficacy of Jiangzhi Qingshen capsules in treating dyslipidaemia was confirmed,and its mechanism of action might be related to the regulation of lipid metabolism.Metabolites such as acylcarnitine(Acar),phosphatidylethanolamine(PE)and phosphatidylcholine(PC)were expected to be used as the biomarkers of dyslipidaemia,so as to provide objective scientific basis for the lipid-lowering capsule,and to facilitate the promotion of its application.

Clinical pharmacist training is an important way to strengthen the clinical pharmacist team's construction and improve their pharmaceutical service capabilities and levels.The Pharmacy Administration and Pharmacy Practice in Healthcare Institutions-Part 4-8-1:Pharmacy Administration-Pharmacy Training Management-Clinical Pharmacist Training was based on the relevant requirements of the current clinical pharmacist training system of the Chinese Hospital Association,and formulated by sor-ting out relevant materials,such as standards,policies and regulations,technical specifications,literature,the current situation of clinical pharmacist training in China,and expert opinions.A total of 15 key elements of clinical pharmacist training were selected and divided into three aspects(base management,training process and assessment,and the quality management,evaluation and improvement).This article mainly introduced the construction method and content of the clinical pharmacist training standard,to deepen the understanding of the standard for relevant units and to promote the implementation of the standard.

Objective To compare the ability of single-phase,dual-phase,and triphasic models in forecasting postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD)using radiomics based on triphasic enhanced CT.Methods A total of 181 patients who underwent multi-phase enhanced CT prior to PD were retrospectively selected,and the collection phase included non-contrast,arterial phase(AP),and equilibrium phase(EP).3D Slicer software was utilized to segment the region of interest(ROI)for the postoperative pancreatic remnant on each phase.Radiomics feature extraction was performed using R software,followed by feature selection through least absolute shrinkage and selection operator(LASSO)regression with five-fold cross-validation to prevent model overfitting.The effective features selected were combined in a weighted linear manner to obtain a Radiomics score(Radscore).The patients were divided into training set and test set in a 7︰3 ratio.Logistic regression was employed to construct seven POPF prediction models(three single-phase,three dual-phase,and one triphasic models)based on different phase combinations.The diagnostic performance of the models was evaluated using the area under the curve(AUC)of receiver operating characteristic(ROC)curve,accuracy(ACC),sensitivity(SEN),and specificity(SPE).The DeLong test was applied to compare the differences in AUC among different models.Results After LASSO regression,24 effective features associated with POPF were selected from different phases.In the test set,the triphasic model exhibited the highest AUC and ACC(AUC=0.76,ACC=0.808).The calibration curve demonstrated the strongest agreement between the estimated probabilities and observed probabilities for the triphasic model.The decision curve analysis(DCA)curve indicated that the triphasic model had the largest threshold range with a higher net benefit.Conclusion Compared with single-phase and dual-phase models,the triphasic model based on enhanced CT provides better prediction of POPF after PD,aiding clinical decision-making and improve prognosis.