ObjectiveTo systematically evaluate the public health governance capacity of 40 cities in Jiangsu, Zhejiang, and Anhui Provinces, providing a scientific evaluation basis for building a "Healthy Yangtze River Delta". MethodsA comprehensive collection of policy documents, public information reports, and research literature related to public health governance capacity in Jiangsu, Zhejiang, and Anhui Provinces was conducted, totaling 6 920 policy documents, 1 720 information reports, and 1 200 literature pieces. Based on the evaluation standards for an appropriate public health system established by the research team, the basic status of public health governance capacity was assessed to identify the strengths and weaknesses of the 40 cities. ResultsIn 2022, the public health governance capacity score for the 40 cities in Jiangsu, Zhejiang, and Anhui Provinces was (562.5±38.0) points. In terms of specific areas, the emergency response field received the highest score of (791.4±49.7) points, while the chronic disease prevention and control field received the lowest score of (368.2±29.6) points. The Jiangsu-Zhejiang-Anhui region has largely achieved the strategic priority of health, gradually improved public health legal regulations, and established a basic organizational framework with a solid foundation for information and data infrastructure. However, challenges still need to be addressed, such as unstable government funding for public health, unclear departmental responsibilities, and barriers to information interoperability. ConclusionThe public health governance capacity of the 40 cities in Jiangsu, Zhejiang, and Anhui Province has been at a moderate level, but disparities have still existed across regions and fields. In the future, while continuing to deepen existing advantages, it is essential to accurately identify the causes of problems, establish a long-term and stable investment mechanism, enhance information connectivity mechanisms, further clarify departmental responsibilities, and promote the achievement of the "Healthy Yangtze River Delta" goal.

【Objective】 To investigate the efficacy and surgical technique of total laparoscopic radical cystectomy with intracorporeal ileal conduit urinary diversion, so as to provide reference for the selection of surgery for patients with bladder cancer. 【Methods】 Clinical data of 48 patients with bladder cancer who underwent laparoscopic radical cystectomy during Mar.2017 and Aug.2022 in our hospital were retrospectively analyzed, including 23 cases who received traditional laparoscopic radical cystectomy combined with extracorporeal ileal conduit, and 25 who received total laparoscopic radical cystectomy with intracorporeal ileal conduit.The operation time, blood loss, postoperative intestinal function recovery time, drainage tube removal time and hospital stay were compared between the two groups. 【Results】 All procedures were successfully performed, and no Clavien-Dindo>grade 3 complications were observed.The operation time, and amount of estimated blood loss of the traditional group and total laparoscopic radical group were (227.0±46.4) min vs. (253.6±58.9) min, and (131.7±79.8) mL vs. (154.0±93.0) mL, respectively.There were no differences in postoperative intestinal function recovery time and drainage tube removal time (P>0.05).The hospital stay was shorter in the total laparoscopic radical group than in the traditional group (P=0.035). 【Conclusion】 Total laparoscopic radical cystectomy with intracorporeal ileal conduit urinary diversion is safe and feasible.which is comparable to the traditional laparoscopic surgery, while the hospital stay in the total laparoscopic group is shorter, which is conducive to rapid postoperative recovery.

【Objective】 To construct a prognostic model of clear cell renal cell carcinoma (ccRCC) based on endoplasmic reticulum stress (ERS)-related long non-coding ribonucleotides (lncRNA),so as to explore the correlation between immune cell infiltration and prognosis of ccRCC patients,and to search for new drugs for the treatment of ccRCC. 【Methods】 The transcriptome and clinical data of cancerous and paracancerous tissues of ccRCC were obtained from the TCGA database.The ERS-associated gene set was obtained from the MSigDB database.ERS co-expressed lncRNAs were screened with Pearson correlation analysis.ERS-related lncRNA (ERSRL) with prognostic significance were screened with Lasso regression,univariate and multivariate Cox regression analyses,and a prognostic model was constructed.The risk value of each sample was calculated according to the prognostic model formula.The patients were divided into high- risk and low- risk groups for survival difference analysis.The predictive performance of the prognostic model was evaluated with survival curve,receiver operating characteristic (ROC) curve and calibration curve.The infiltration of immune cells in high-and low-risk groups was analyzed with CIBERSORT database.The relationship between ERSRL and drug sensitivity was analyzed with GDSC database to identify drugs with potential efficacy against ccRCC. 【Results】 A total of 9 lncRNAs with independent prognostic significance were screened to construct the prognostic model.Kaplan-Meier analysis showed significant survival differences between the high- and low-risk groups.Univariate and multivariate Cox regression analyses showed that age,grade,stage and risk score could be used as independent prognostic factors.The area under the ROC curve (AUC) of the 1-,3-,and 5-year survival rates of the training set were 0.754 (95%CI:0.659-0.848),0.744 (95%CI:0.667-0.815),and 0.759 (95%CI:0.662-0.820),respectively,and the C-index was 0.777 (95%CI:0.759-0.796).Immune infiltration results showed that plasma cells,activated memory CD4⁺T cells,regulatory T cells,M0 macrophages,and activated mast cell infiltration levels were higher in the high-risk group than those in the low-risk group.Drug susceptibility analysis identified 12 drugs with potential curative effects on ccRCC,including AZD8055. 【Conclusion】 Based on 9 ERSRLs,a prognostic model for ccRCC patients was constructed,and 12 drugs with potential therapeutic effects were screened,including AZD8055.

Lennox-Gastaut syndrome(LGS)is a severe,epileptic encephalopathy.In recent years,a variety of drugs have been approved for the treatment of LGS.The U.S.Food and Drug Administration ap-proved clobazam and cannabidiol as adjunctive therapy for LGS in October 2011 and June 2018,respectively.This article provides an overview of clobazam and cannabidiol,including their chemical structures,pharmaco-logical actions,curative effects,safety profile,drug interactions,to introduce the current state of research and the achievements of both drugs.

Objective To screen mitochondria-related genes in Crohn's disease (CD) based on the Gene Expression Omnibus (GEO) database, construct an artificial neural network diagnostic model and evaluate its performance. Methods The CD-related datasets GSE186582 and GSE102133 were downloaded from the GEO database for differential expression genes (DEGs) screening. The intersection of DEGs and mitochondrial genes from the MitoCarta 3.0 database was obtained. Least absolute shrinkage and selection operator regression and random forest algorithms were used to identify CD-specific genes and construct an artificial neural network diagnostic model. The model was further validated by the validation set GSE95095, and the diagnostic performance was evaluated by the area under the curve (AUC) of the receiver operating characteristic curve. The immune cell infiltration in CD was assessed by the CIBERSORT algorithm, and the relationship between biomarkers and infiltrated immune cells was investigated. Results A total of 551 DEGs were obtained, including 275 upregulated and 276 downregulated genes. There were 20 mitochondria-related genes associated with CD. A total of 9 mitochondria-related feature genes (SOD2, MTHFD2, BPHL, PXMP2, RMND1, AGXT2, MAOA, HMGCS2, MAOB) were screened by two machine learning algorithms. An artificial neural network diagnostic model was constructed by the selected feature genes. The values of AUC of the model in the training and validation groups were 0.956 and 0.736 respectively. Immune cell infiltration analysis showed that the feature genes were associated with resting memory CD4⁺ T cells, activated memory CD4⁺ T cells, activated dendritic cells, neutrophils, and CD8⁺ T cells. Conclusion The artificial neural network diagnostic model for CD based on 9 mitochondrial genes has good predictive performance.

Objective To construct a prognostic prediction model for hepatocellular carcinoma (HCC) based on immune and metabolism related genes, analyze the prognostic immune response of HCC patients, and screen potential drugs for HCC treatment through drug sensitivity analysis. Methods HCC expression profiling and clinical data were obtained from The Cancer Genome Atlas (TCGA) database, and a list of immune-related genes was obtained from the Immport database; the Perl language was used to extract metabolism-related pathway gene sets from the Molecular Signatures Database(MSig DB), and co-expression related genes were found through differential analysis and co-expression analysis; the univariate Cox regression analysis, the least absolute shrinkage and selection operator (LASSO) regression analysis, and multivariate Cox regression analysis were used to screen prognosis-related genes and construct a risk prognosis model for HCC, and risk scores for all HCC samples were calculated. Using the median risk score as the critical value, the reliability of the prognostic model was evaluated through risk curves, Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curves, independent prognostic analysis, and Nomograms. The correlations between risk scores and pathway enrichment analysis as well as immune cell infiltration were analyzed. Drug sensitivity analysis was used to identify potential therapeutic drugs for HCC. Results Five immune and metabolic genes with independent prognostic value were obtained, and a prognostic model based on immune and metabolic genes was constructed. Survival analysis showed that in the total dataset, training group and validation group, the survival rate of the low-risk group was significantly higher than that ofthe high-risk group (P < 0.05). The areas under the ROC curves of the prognostic model for the training group at 1, 3 and 5 years were 0.780, 0.699 and 0.706 respectively. Cox regression analysis showed that grading and risk score could be used as independent prognostic factors for HCC (P < 0.05), with a concordance index of 0.734 (95%CI, 0.669 to 0.798), indicating good model performance. Immune cell infiltration results showed significant differences in resting NK cells, monocytes, M0 macrophages, and M1 macrophages between the high-risk and low-risk groups (P < 0.05). Drug sensitivity analysis screened 12 drugs that may have potential therapeutic effects in HCC patients (P < 0.01). Conclusion The prognostic model of HCC based on five immune and metabolic genes has good predictive performance, and can be used as a new indicator for prognosis evaluation; the 12 drugs screened out have potential efficacy for HCC.

Cerebral small vessel disease （CSVD） is a common disease with great impact on the health of the Chinese population. CSVD has insidious progression and is often neglected by both patients and physicians. In recent years， advances have been made in the research on CSVD from the aspects of risk factors， pathogenesis， clinical manifestations， and evaluation systems. In 2013， the international Standards for Reporting Vascular Changes on Neuroimaging （STRIVE） collaborative group standardized the definition and description of CSVD， and subsequently in 2021， our team released Chinese expert consensus on the diagnosis and treatment of cerebral small vessel disease 2021， which summarized the latest research findings in China and globally. In 2023， the international STRIVE collaborative group provided further updates on research advances in the field of CSVD. CSVD has similar clinical manifestations to neurodegenerative diseases， with a lack of significant specificity. Although genetic testing and brain tissue biopsy help to make a confirmed diagnosis to a certain extent， their application in clinical practice has been limited by technical and financial constraints. At present， neuroimaging techniques are mainly used to detect brain tissue lesions induced by CSVD and make a diagnosis. This article discusses the imaging markers for the diagnosis of CSVD and the imaging-based differential diagnosis of CSVD.
Diagnosis

Postoperative complications of colorectal cancer (CRC) are the main cause of postoperative death and seriously affect the quality of life and survival time of patients. The application of a clinical prediction model for postoperative complications of CRC can help promptly identify high-risk patients. Accordingly, reasonable intervention measures can be actively taken to reduce the incidence of postoperative complications of CRC. A scientific basis can also be provided to improve the prognosis of patients. In this work, literature on the risk-factor analysis and prediction-model construction of postoperative complications of CRC at home and abroad in recent years was collected and reviewed. The evaluation content and efficiency of the clinical prediction models in postoperative complications of CRC were summarized. Their advantages and disadvantages were also analyzed. The purpose of this study was to provide a reference for the subsequent optimization of such models and the development of a strong, clinically practical, and universal risk-screening tool for postoperative complications of CRC.

Objective     To study the correlation of preoperative hemoglobin amount with venous thromboembolism (VTE) after surgical treatment of bronchiectasis and the clinical significance. Methods     A retrospective study was performed on patients with bronchiectasis who underwent surgical treatment in our center from June 2017 to November 2021. The differences in blood parameters between the VTE patients and non-VTE patients were compared. The relationship between preoperative hemoglobin and VTE was confirmed by quartile grouping and receiver operating characteristic (ROC) curve. Results     A total of 122 patients were enrolled, including 50 males and 72 females, with a mean age of 52.52±12.29 years. The overall incidence of VTE after bronchiectasis was 9.02% (11/122). Preoperative hemoglobin amount (OR=0.923, 95%CI 0.870-0.980, P=0.008) and D-dimer amount (OR=1.734, 95%CI 1.087-2.766, P=0.021) were independent influencing factors for VTE after bronchiectasis. The incidence of VTE after bronchiectasis decreased gradually with the increase of preoperative hemoglobin amount. The area under the ROC curve (AUC) of postoperative D-dimer alone was 0.757, whereas the AUC of postoperative D-dimer combined with preoperative hemoglobin amount was 0.878. Conclusion     Low preoperative hemoglobin is an independent risk factor for postoperative VTE. Postoperative D-dimer combined with preoperative hemoglobin amount has a better predictive performance compared with postoperative D-dimer alone for postoperative VTE.

Objective: To understand the population structure of food-borne Staphylococcus (S.) aureus in China. Methods: Whole genome sequencing was used to analyze 763 food-borne S. aureus strains from 16 provinces in China from 2006 to 2020. Multilocus sequence typing (MLST), staphylococcal protein A gene (spa) typing, and staphylococcal chromosome cassettemec (SCCmec) typing were conducted, and minimum spanning tree based on ST types (STs) was constructed by BioNumerics 7.5 software. Thirty-one S. aureus strains isolated from imported food products were also included in constructing the genome phylogenetic tree. Results: A total of 90 STs (20 novel types) and 160 spa types were detected in the 763 S. aureus isolates. The 72 STs (72/90, 80.0%) were related to 22 clone complexes. The predominant clone complexes were CC7, CC1, CC5, CC398, CC188, CC59, CC6, CC88, CC15, and CC25, accounting for 82.44% (629/763) of the total. The STs and spa types in the predominant clone complexes changed over the years. The methicillin-resistant S. aureus (MRSA) detection rate was 7.60%, and 7 SCCmec types were identified. The ST59-t437-Ⅳa (17.24%, 10/58), ST239-t030-Ⅲ (12.07%, 7/58), ST59-t437-Ⅴb (8.62%, 5/58), ST338-t437-Ⅴb (6.90%, 4/58) and ST338-t441-Ⅴb (6.90%, 4/58) were the main types in MRSA strains. The genome phylogenetic tree had two clades, and the strains with the same CC, ST, and spa types clustered together. All CC7 methicillin sensitive S. aureus strains were included in Clade1, while 21 clone complexes and all MRSA strains were in Clade2. The MRSA strains clustered according to the SCCmec and STs. The strains from imported food products in CC398, CC7, CC30, CC12, and CC188 had far distances from Chinese strains in the tree. Conclusions: In this study, the predominant clone complexes of food-borne strains were CC7, CC1, CC5, CC398, CC188, CC59, CC6, CC88, CC15, and CC25, which overlapped with the previously reported clone complexes of hospital and community-associated strains in China, suggesting that close attention needs to be paid to food, a vehicle of pathogen transmission in community and food poisoning.
Humans ; Staphylococcus aureus/genetics* ; Methicillin-Resistant Staphylococcus aureus/genetics* ; Multilocus Sequence Typing ; Phylogeny ; Staphylococcal Infections/epidemiology* ; China/epidemiology*