Objective: To investigate the urban and rural differences in adverse outcomes of pulmonary tuberculosis (PTB) in patients with pulmonary tuberculosis-diabetes mellitus comorbidity (PTB-DM), so as to provide insights into improving the prevention and treatment measures for PTB-DM. Methods: Patients with PTB-DM who were admitted and discharged from 14 designated tuberculosis hospitals in Hangzhou City from 2018 to 2022 were selected. Basic information, and history of diagnosis and treatment were collected through hospital information systems. The adverse outcomes of PTB were defined as endpoints, and the proportions of adverse outcomes of PTB in urban and rural patients with PTB-DM were analyzed. Factors affecting the adverse outcomes of PTB were identified using a multivariable Cox proportional hazards regression model. Results: A total of 823 patients with PTB-DM were enrolled, including 354 (43.01%) urban and 469 (56.99%) rural patients. There were 112 (13.61%) patients with adverse outcomes of PTB. The proportions of adverse outcomes of PTB in urban and rural patients were 14.41% and 13.01%, respectively, with no statistically significant difference (P>0.05). Multivariable Cox proportional hazards regression analysis identified first diagnosed in county-level hospitals or above (HR=2.107, 95%CI: 1.181-3.758) and drug resistance (HR=3.303, 95%CI: 1.653-6.600) as the risk factors for adverse outcomes of PTB in urban patients with PTB-DM, while the treatment/observed management throughout the process (HR=0.470, 95%CI: 0.274-0.803) and fixed-dose combinations throughout the process (HR=0.331, 95%CI: 0.151-0.729) as the protective factors for adverse outcomes in rural patients with PTB-DM. Conclusions There are differences in influencing factors for adverse outcomes of PTB in urban and rural patients with PTB-DM. The adverse outcomes of PTB are associated with first diagnosed hospitals and drug resistance in urban patients, and are associated with the treatment/observed management and fixed-dose combinations throughout the process in rural patients.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Objective To investigate the effects of different use methods of tourniquet on hidden blood loss and knee joint swelling in total knee arthroplasty(TKA),and to explore its potential benefits for postoperative rehabilitation.Methods A prospective study was conducted from March 2018 to March 2023 in Xuzhou Municipal Hospital Affiliated to Xuzhou Medical University,involving 131 patients who underwent TKA.The patients were divided into three groups based on the method of tourniquet use:44 patients routinely used a tourniquet in group A,48 patients only used a tourniquet during the application of bone cement in group B,and 39 patients did not use tourniquet in group C.Operation time,dressing changes,intraoperative blood loss,total blood loss,explicit blood loss,hidden blood loss,percentage of hidden blood loss,postoperative blood transfusion,hemoglobin(Hb),hematocrit(HCT),C-reactive protein(CRP),and creatine kinase(CK)were compared among groups.The pain and functional recovery were evaluated by visual analogue scale(VAS)and knee society clinical rating system(KSS)before surgery,and 3 days,1 month,and 3 months after surgery.The degree of limb swelling and the range of motion of the knee were also compared among groups.Results Group A had shorter operation time and less frequency of postoperative dressing changes than the other two groups(P<0.05).The hidden blood loss and total blood loss in group A were significantly less than those in group C(P<0.05),and the hidden blood loss and total blood loss volume in the three groups from low to high was group A

OBJECTIVE: To provide evidence for further reducing the incidence of central line-associated bloodstream infection (CLABSI) according to investigation of the prevention and control of CLABSI in intensive care unit (ICU) in Shandong Province. METHODS: The questionnaire was developed by experts from Shandong Critical Care Medical Quality Control Center, combining domestic and foreign guidelines, consensus and research. A convenient sampling method was used to recruit survey subjects online from October 11 to 31, 2023 in the province to investigate the management status of central venous catheter (CVC) in ICU units of secondary and above hospitals. RESULTS: A total of 201 valid data were collected, involving 186 hospitals in the province, with a total of 201 ICU units, mainly comprehensive ICU (91%). The beds in ICU units were mainly single rooms (89%) and triple rooms (79%), and the ratio of doctors to total beds was 0.54 : 1. The training on the knowledge and operation of intravascular catheter-associated bloodstream infection in each ICU unit was mainly irregular (49%), and 96% of the catheter operators were authorized by the hospital. In terms of CVC selection, 89% of ICU units used dual-chamber CVC, and 86% of ICU units used catheters without antibiotic coating. When selecting the placement site, for conventional CVC catheterization, 65% preferred subclavian vein. Femoral vein was preferred in 87% of ICU units undergoing continuous renal replacement therapy. 95% of ICU units had established standardized operation procedure (SOP) for CVC placement. 86% of ICU units were capable of ultrasound positioning or guided puncture at the time of catheterization. During catheterization, 88% of ICU units met the sterile dress code. Before and after catheterzation, 81% and 77% of ICU units standardized hand hygiene. Only 31% of ICU units were covered from head to toe by aseptic wipes. For the choice of skin disinfectant, the majority of ICU units (72%) only used iodophor. After tube placement, 54% of ICU units chose sterile transparent dressing and 25% chose sterile gauze dressing. 98% of ICU units were sutured to secure the catheter. Regarding catheter replacement and removal, 45% of ICU units could not be removed or replaced within 2 days in emergency situations where the principle of sterility was not guaranteed. When CLABSI was suspected, 55% of ICU units were able to obtain the catheter tip, transcatheter blood culture, and contralateral peripheral vein blood culture at the same time. For CVC replacement frequency, most ICU units (75%) would not be replaced regularly, and some ICU units would be replaced regularly, but the frequency of replacement was different. For CLABSI prevention and control, 82% of ICU units developed a verification form or supervision form. When analyzing the sources of CLABSI data, most of them were filled in by themselves (60%). As for the frequency of data analysis, 57% were once a month. CONCLUSIONS All ICU units in Shandong Province are standardized in terms of the authorization of operators, the formulation of SOP, the formulation and implementation of verification form and supervision form, ultrasound-guided puncture, and hand hygiene before and after catheterization. However, there are still deficiencies in the training on knowledge and operation of intravascular catheter-associated bloodstream infections, maximum aseptic coverage, catheter replacement and removal, and the reporting sources of CLABSI data, which need to be strengthened in the follow-up work. At present, the selection of CVC, the selection of catheterization site, the selection of skin disinfectant and the selection of dressings after catheterization still need further research.
Intensive Care Units ; Humans ; Surveys and Questionnaires ; China/epidemiology* ; Cross-Sectional Studies ; Catheter-Related Infections/epidemiology* ; Catheterization, Central Venous/methods* ; Cross Infection/epidemiology* ; Central Venous Catheters/adverse effects* ; Infection Control/methods*

Diabetic peripheral neuropathy is a common complication of diabetes. There are various screening and assessment methods available, but most of them are not widely adopted in China. The diagnostic efficacy varies, making it somewhat challenging to choose the appropriate examination methods for conducting related clinical work and research. This article provides an overview of the existing screening and assessment methods for diabetic peripheral neuropathy and introduces and evaluates the latest research developments.

Artificial intelligence (AI) has important significance and great promise in the pathological diagnosis,imaging diagnosis,prognosis prediction,and molecular subtyping of prostate cancer (PCa). This review focuses on the progress of AI for the diagnosis and molecular classification of PCa,and briefly introduces the application of AI in the pathological diagnosis of needle biopsy and Gleason grading,pathological diagnosis and grading after prostatectomy,and prognosis prediction of PCa patients based on pathological sections. For the pathological diagnosis of needle biopsy and Gleason grading,AI has already comparable to general pathologists;for the pathological diagnosis and grading after prostatectomy,AI can accurately grade and classify tumors;and for the prognosis prediction of PCa patients,AI can directly extract relevant prognostic information from pathological tissue sections for prognosis prediction. In addition,AI can also predict gene mutations in PCa patients and suggest the probability of gene mutation by analyzing the pathological sections.

The rapid development of digital intelligence technologies is providing a powerful boost to the high-quality development of the healthcare system.Considering the current state of our healthcare services and guided by General Secretary Xi Jinping's insights on new quality productive forces and the directives from Third Plenary Session of Communist Party of China's 20th Central Committee,the high-quality development of the healthcare service system should focus on digital intelligence technologies such as cloud computing,big data,privacy computing,blockchain,Internet of Things(IoT),mobile computing,and AI.The key measures should include the optimization of production factors,services,and governance.Emphasis should be placed on enhancing the efficient and intensive development of the development model,ensuring the high-quality and continuous integration of the supply model,and transitioning to scientific and modern management methods.Herein,we analyzed the"factor optimization—service optimization—governance optimization"development mechanism driven by digital intelligence and proposed corresponding implementation pathways,intending to provide references for establishing a high-quality and efficient healthcare service system with Chinese characteristics.

Objective:To identify the risk factors associated with postoperative adjuvant chemotherapy in patients with stage I gastric cancer and establish nomograms model based on risk factors.Methods:In this retrospective case-control study, 161 cases with stage Ⅰ primary gastric adenocarcinoma were included who underwent gastrectomy at the Department of General Surgery of the First Medical Center of Chinese PLA General Hospital from January to December in 2020, including 129 male cases and 32 females cases, with the average age of (59.90±0.80) years. Among them, 41 cases were treated with postoperative adjuvant chemotherapy (chemotherapy group), while 120 cases who did not receive postoperative adjuvant chemotherapy (no chemotherapy group). Univariate and multivariate Logistic regression analyses were used to identify the risk factors of adjuvant chemotherapy in stage Ⅰ gastric cancer patients and establish the nomograms predictive model. ROC curve and calibration curve were used to evaluate the performance of the model.Results:Multivariate analysis revealed that primary tumor site, tumor size, T stage, N stage lymph-vascular tumor embolus or perineural invasion were the independent risk factors of postoperative adjuvant chemotherapy for stage Ⅰ gastric cancer( P<0.05). The ROC curve indicated that area under the curve (AUC) of the multivariate model was 0.91(95% CI: 0.86-0.97). The calibration curve showed that probability predicted by nomograms was consistent with the actual situation(C-index: 0.91). Conclusions:The tumor located in the proximal stomach, tumor size>2 cm, T 2, N 1, lymph-vascular tumor embolus or perineural invasion maybe be the risk factors for chemotherapy decision in stage Ⅰ gastric cancer patients. The established model has good predictive ability for postoperative chemotherapy of stage Ⅰ gastric cancer patients, which might provide reference for the selection of clinical decisions in this part of patients.

Objective : To screen the mRNA core genes of naringin in the treatment of colorectal cancer (CRC) by bioinformatics analysis , and to verify the predictive effect of mRNA core genes on CRC by survival analysis. Methods: The HCT116 cells of CRC were treated with DMSO solvent and naringin for 48 h and then RNA sequencing was conducted. The sequencing results were preprocessed and their differentially expressed genes were analyzed. The key lncRNAs were screened from differentially expressed genes , and the corresponding lncRNA⁃miRNA⁃mRNA regulatory network was established. With gene ontology (GO) analysis , Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis and Protein⁃Protein Interaction (PPI) network analysis , the core mRNAs were obtained and verified by survival analysis method. Results : Ultimately , 197 differentially expressed lncRNAs , 128 differentially expressed miRNAs and 1 938 differentially expressed mRNAs were screened. Based on lncRNA⁃miRNA⁃mRNA regulatory network , 5 key lncRNAs and 117 key mRNAs were screened. The results of GO analysis and KEGG pathway analysis showed that they were mainly enriched in the functions and pathways closely related to CRC. In the end , 6 mRNA core genes were obtained by PPI network analysis , and 3 core mRNAs (FOS , CCND2 , MXD1) were gained by survival analysis , which closely resembled CRC. Conclusion The molecular mechanism of naringin in the treatment of CRC is analyzed by means of bioinformatics , 3 core mRNAs with significant differences are screened out and they all have an important impact on the prognoses of patients , and the study will provide new ideas for the diagnosis , treatment and prognosis of CRC.

Objective:To investigate the relationship between the changes of default network topology properties of brain function and cognitive function in patients with end-stage renal disease (ESRD).Methods:A total of 31 patients with ESRD were enrolled in the Department of Nephrology, Changzhou Second Hospital Affiliated to Nanjing Medical University from January 2019 to December 2020, and 18 healthy persons were included in the same period as the control group.The cognitive function was evaluated with the Montreal cognitive assessment (MoCA) and trail making tests, and then the subjects were examined by resting-state functional magnetic resonance imaging (rs-fMRI). After preprocessing, the brain functional network was constructed and the topology properities of the network were calculated.The SPSS 20.0 software was used for statistical analysis.Independent sample t-test, chi square test and Pearson correlation analysis were used for data statistics. Results:(1) The score of MoCA in the ESRD group(23.37±1.77) was significantly lower than that in the healthy control group(27.94±1.13)( t=9.537, P<0.001). (2) The levels of Eglobal, Elocal, Cp and Sigma in ESRD group ((0.129±0.025), (0.148±0.040), (0.188±0.046), (1.593±0.650)) were significantly lower than those in healthy control group ((0.160±0.040), (0.212±0.024), (0.276±0.049), (2.004±0.864))( t=3.591, 7.474, 7.058, 2.034, all P<0.05). The Lp value of the ESRD group (8.131±1.905) was significantly higher than that of the control group (6.777±2.150)( t=2.583, P< 0.05). The node efficiency values of bilateral dorsolateral superior frontal gyrus, left middle frontal gyrus, bilateral posterior cingulate gyrus, right hippocampus, left superior marginal gyrus, bilateral angular gyrus and bilateral cuneate anterior lobe in ESRD group ((0.133±0.071), (0.201±0.047), (0.211±0.106), (0.175±0.066), (0.276±0.113), (0.122±0.146), (0.042±0.075), (0.171±0.027), (0.154±0.078), (0.240±0.095), (0.161±0.056))were lower than those in the healthy control group((0.312±0.075), (0.289±0.091), (0.277±0.132), (0.284±0.053), (0.368±0.063), (0.231±0.227), (0.120±0.162), (0.296±0.064), (0.310±0.186), (0.318±0.066), (0.286±0.103))( t=2.107-9.436, all P<0.05). (3)Pearson correlation analysis showed that the node efficiency values of bilateral posterior cingulate gyrus and right hippocampus in ESRD group were positively correlated with the score of MoCA( r=0.36, 0.49, 0.53, all P<0.05). Conclusion:The topological structure of brain functional network is abnormal in ESRD patients, which can affect the cognitive function of patients.