Objective: To investigate the epidemiological characteristics of pulmonary tuberculosis (PTB) among residents aged 60 years and older in Yangzhou City, Jiangsu Province from 2013 to 2022, so as to provide the evidence for the improvement of PTB prevention and control measures in this population. Methods: Data of PTB cases aged 60 years and older in Yangzhou City from 2013 to 2022 were collected from the Chinese Disease Prevention and Control Information System. The temporal, population, and regional distribution characteristics of PTB cases were analyzed using the descriptive epidemiological method. Results: A total of 8 726 PTB cases aged 60 years and older were registered in Yangzhou City from 2013 to 2022, including 4 167 cases positive for pathogenic tests, with a positive rate of 47.75%. The registered incidence rates and the positive rates of pathogenic tests of PTB among residents aged 60 years and older in Yangzhou City showed downward trends from 2013 to 2022 (both P<0.05). The average annual registered incidence rate of PTB was 83.95/105, and the average annual registered incidence rate of PTB positive for pathogenic tests was 40.09/105. The average annual registered incidence rate of PTB in males was higher than that in females (138.57/105 vs. 31.76/105, P<0.05). The registered incidence rate of PTB showed an increasing trend with age (P<0.05), with the highest rate observed in the age group of 75-<80 years (110.37/105). The top three regions with the highest average annual registered incidence rates of PTB were Jiangdu District (94.34/105), Baoying County (91.61/105) and Hanjiang District (84.93/105). Conclusions The registered incidence of PTB among residents aged 60 years and older in Yangzhou City showed a downward trend from 2013 to 2022. Particular attention should be payed to males, residents aged 75- <80 years, and the elderly in Jiangdu District and Baoying County.

Renal tumor scoring systems can describe the anatomical characteristics of renal tumors. It is an important standard to evaluate the surgical complexity and to evaluate the surgical complexity and feasibility of partial nephrectomy. Scholars at home and abroad have established various scoring systems based on different anatomical parameters，such as R.E.N.A.L.，PADUA，C-Index，which are used to guide the clinical selection of surgical modalities，and predict perioperative complications and prognosis. In this paper，various scoring systems are grouped into three major categories according to their functions：prediction of surgical complexity，prediction of complications，and prediction of prognosis. The contents，characteristics and clinical application value of various renal tumor scoring systems are introduced in detail to guide urologists，enhance their surgical decision-making ability，and improve the clinical outcomes.

Objective To explore the correlation of MET status in patients with advanced prostatic acinar adenocarcinoma with the clinical pathological parameters and prognosis. Methods The specimen from 135 patients with advanced prostatic acinar adenocarcinoma was included. The expression of c-MET protein was detected via immunohistochemistry, and MET gene amplification was assessed by fluorescence in situ hybridization. The relationships of c-MET expression and gene amplification with clinicopathological features and prognosis were analyzed. Results The positive expression rate of c-MET was 52.60% (71/135). Compared with the c-MET expression in adjacent tissues, that in tumor tissues showed lower heterogeneous expression. Among the cases, 1.71% (2/117) exhibited MET gene polyploidy, but no gene amplification was detected. Positive c-MET expression was significantly correlated with high Gleason scores and grade groups (P=0.0073). However, no significant relationship was found between c-MET expression and progression-free survival or post-treatment t-PSA levels. Conclusion c-MET protein is expressed at a relatively low level in advanced prostatic acinar adenocarcinoma, suggesting that c-MET may not be a viable target for ADC drug development in prostatic acinar adenocarcinoma.

Atherosclerosis(AS)is the common pathological basis of ischemic cardiovascular diseases,and its formation mechanism is complex.Western medical treatment has problems such as a long cycle and a high relapse rate.Ethnic medicine is an important part of traditional medicine,which has unique efficacy in treating cardiovascular diseases.Studies have shown that the Mongolian medicine Eldon-Uriel regulates blood lipids and improves blood rheology in the treatment of AS.This paper aims to pro-vide new ideas for the prevention and treatment of AS by collecting,organizing,and summarizing the relevant literature on Eldon-Uriel and introducing its unique concept,mechanism of action,and clinical studies in the treatment of AS.

Objective: To evaluate the effectiveness of recombinant Mycobacterium tuberculosis fusion protein skin test (EC-ST) in screening for latent tuberculosis infection (LTBI) among HIV/AIDS patients, so as to provide insights into the applicability of EC-ST in LTBI screening among HIV/AIDS patients. Methods: From April to June 2023, HIV/AIDS patients under management and treatment in Yangzhou City, Jiangsu Province, were selected as study subjects. Basic information was collected through questionnaire surveys. LTBI was screened by EC-ST and interferon-gamma release assay (IGRA). Taking IGRA results as the diagnostic standard, the positive rate, sensitivity, specificity and consistency rate of EC-ST, and the impact of CD4+T lymphocyte (CD4) counts on the screening effect of EC-ST were analyzed. Results: A total of 523 HIV/AIDS patients were screened, including 458 males (87.57%) and 65 females (12.43%). The median age was 48.00 (interquartile range, 21.00) years. The positive rate of EC-ST was 7.27% and the positive rate of IGRA was 7.46%, with no statistically significant difference (P>0.05). The consistency rate of the two methods was 94.84%, and the Kappa value of 0.621 (95%CI: 0.489-0.752, P<0.05). The sensitivity of EC-ST was 64.10% and the specificity was 97.31%. Comparing the groups with CD4 counts <500 and ≥500 cells/μL, the consistency rates of the two methods were 95.32% and 94.44%, and the Kappa values were 0.568 and 0.650, respectively (both P<0.05). There were no statistically significant differences in the positive rates, sensitivity, and specificity of EC-ST (all P>0.05). Comparing the groups with CD4 counts <200 and ≥200 cells/μL, the consistency rates of the two methods were 96.55% and 94.62%, and the Kappa values were 0.648 and 0.619, respectively (both P<0.05). There were no statistically significant differences in the positive rates, sensitivity, and specificity of EC-ST (all P>0.05). Conclusion The effectiveness of EC-ST in screening for LTBI among HIV/AIDS patients is consistent with that of IGRA and is not affected by CD4 counts.

Sepsis is one of the common severe diseases caused by the dysregulated host response to infection， which seriously threatens the life and health of human beings all over the world. The incidence and mortality of the disease are extremely high， and it has always been an urgent problem to be solved in the field of acute and critical diseases. At present， anti-infection， fluid resuscitation， mechanical ventilation and other programs are most used in clinic to treat sepsis， but their poor prognosis and high cost and other issues remain to be resolved. Therefore， it is necessary to explore a new， efficient， safe and inexpensive drug and treatment model at this stage. The treatment of traditional Chinese medicine （TCM） is based on syndrome differentiation and holistic concept. It can effectively regulate the progression of sepsis， maintain the homeostasis of the body， and has fewer adverse reactions. It has achieved good clinical results. In recent years， a large number of studies have shown that TCM can reduce the inflammatory response by regulating the Toll-like receptor 4（TLR4） signaling pathway， thereby reducing the severity and mortality of sepsis patients. However， there is still a lack of systematic exposition of TCM regulating TLR4 signaling pathway in the treatment of sepsis. Therefore， this article summarizes the relationship between TLR4 signaling pathway and sepsis and the mechanism of TCM in the disease by searching and consulting relevant literature in recent years. It is found that some Chinese medicine monomers and active ingredients， Chinese medicine compounds and Chinese medicine preparations can effectively reduce systemic inflammatory response， repair organ damage and improve the prognosis of sepsis by inhibiting the activation of TLR4 signaling pathway. However， due to various limitations， some studies have directly focused on the differential expression and function of TLR4， ignoring the downstream molecular expression and phenotypic effects of TLR4. The alternative mechanism， relationship and specific molecular mechanism of the pathway are still unclear. There are problems such as unclear pharmacokinetics and unclear mechanism in the pro- and anti-inflammatory balance， which need to be further studied and explored in order to provide new ideas for the potential treatment and drug development for sepsis.

Information on patients with rifampicin-resistant pulmonary tuberculosis (RR-PTB) in Yangzhou City from 2012 to 2020 was obtained from the Information System of the Chinese Center for Disease Control and Prevention. The epidemic characteristics of RR-PTB patients were analyzed by using χ2 test. The average annual registered incidence rate of RR-PTB patients in Yangzhou City from 2012 to 2020 was 0.57/100 000, and the difference between the registered incidence rates in each year was statistically significant ( χ2=29.326, P<0.001). The proportion of re-treated patients (64.8%) was higher than that of newly treated patients (35.2%, χ2=50.593, P<0.001). The registered incidence rate in males (0.91/100 000) was higher than that in females (0.24/100 000, χ2=80.566, P<0.001). The age distribution showed that the highest incidence rate was in the age group≥60 years (0.96/100 000) and the lowest was in the age group 0-<45 years (0.31/100 000, χ2=55.853, P<0.001). From 2012 to 2020, Baoying County had the largest number of registered RR-PTB patients (44 cases), and its registered incidence rate (0.64/100 000) was only lower than that of Guangling District (0.98/100 000). The registered incidence rate of RR-PTB patients in Baoying County during 2016—2020 also increased significantly compared to 2012—2015 ( P=0.001). Logistic regression was used to analyze the factors related to the treatment outcome of RR-PTB patients. The results showed that patients aged≥60 years and those classified as the re-treatment were risk factors for successful treatment of RR-PTB patients ( P<0.05). In summary, males, people aged≥60 years, patients classified as the re-treatment, and residents of Baoying County should be the key populations for RR-PTB epidemic prevention and control in Yangzhou City.

Information on patients with rifampicin-resistant pulmonary tuberculosis (RR-PTB) in Yangzhou City from 2012 to 2020 was obtained from the Information System of the Chinese Center for Disease Control and Prevention. The epidemic characteristics of RR-PTB patients were analyzed by using χ2 test. The average annual registered incidence rate of RR-PTB patients in Yangzhou City from 2012 to 2020 was 0.57/100 000, and the difference between the registered incidence rates in each year was statistically significant ( χ2=29.326, P<0.001). The proportion of re-treated patients (64.8%) was higher than that of newly treated patients (35.2%, χ2=50.593, P<0.001). The registered incidence rate in males (0.91/100 000) was higher than that in females (0.24/100 000, χ2=80.566, P<0.001). The age distribution showed that the highest incidence rate was in the age group≥60 years (0.96/100 000) and the lowest was in the age group 0-<45 years (0.31/100 000, χ2=55.853, P<0.001). From 2012 to 2020, Baoying County had the largest number of registered RR-PTB patients (44 cases), and its registered incidence rate (0.64/100 000) was only lower than that of Guangling District (0.98/100 000). The registered incidence rate of RR-PTB patients in Baoying County during 2016—2020 also increased significantly compared to 2012—2015 ( P=0.001). Logistic regression was used to analyze the factors related to the treatment outcome of RR-PTB patients. The results showed that patients aged≥60 years and those classified as the re-treatment were risk factors for successful treatment of RR-PTB patients ( P<0.05). In summary, males, people aged≥60 years, patients classified as the re-treatment, and residents of Baoying County should be the key populations for RR-PTB epidemic prevention and control in Yangzhou City.

Objective To obtain the range of anatomical parameters of healthy knee joints in Chinese males and validate a statistical shape model(SSM)based on the geometric shape of a healthy knee to provide references for the design of knee SSM-based prostheses.Methods Computed tomography(CT)images of knee joints from 112 healthy males were acquired to build three-dimensional(3D)knee joint models.Each model was the target model separately,and the remaining models were used as the training set for principal component analysis(PCA).The obtained knee SSM was fitted to the target model to predict the SSM.The exact anatomical measurement points were marked on the sample and SSM prediction models,and 17 linear and 3 angular parameters were derived.The values of the anatomical parameters were statistically tested using an independent samples t-test and Mann-Whitney U-test,and the validity of the SSM in terms of geometric shape was demonstrated if the resulting P-values were all greater than 0.05.Results Qualitative and quantitative comparative analyses of anatomical parameters showed that the mean deviation of linear parameters was less than 6 mm,and that of angular parameters was less than 2.5°.The results of statistical tests showed P＞0.05 for all anatomical parameters,proving that the knee SSM prediction model was not statistically different from the true healthy model in terms of geometric shape.Conclusions This study derived a reference range of anatomical parameters for a healthy knee and demonstrated that the knee SSM model was consistent with the real healthy model in terms of shape.The results provide a reference for the design of knee SSM-based prostheses.

Objective To evaluate the performance of magnetic resonance imaging(MRI)multi-sequence feature imputation and fusion mutual model based on sequence deletion in differentiating high-grade glioma(HGG)from low-grade glioma(LGG).Methods We retrospectively collected multi-sequence MR images from 305 glioma patients,including 189 HGG patients and 116 LGG patients.The region of interest(ROI)of T1-weighted images(T1WI),T2-weighted images(T2WI),T2 fluid attenuated inversion recovery(T2_FLAIR)and post-contrast enhancement T1WI(CE_T1WI)were delineated to extract the radiomics features.A mutual-aid model of MRI multi-sequence feature imputation and fusion based on sequence deletion was used for imputation and fusion of the feature matrix with missing data.The discriminative ability of the model was evaluated using 5-fold cross-validation method and by assessing the accuracy,balanced accuracy,area under the ROC curve(AUC),specificity,and sensitivity.The proposed model was quantitatively compared with other non-holonomic multimodal classification models for discriminating HGG and LGG.Class separability experiments were performed on the latent features learned by the proposed feature imputation and fusion methods to observe the classification effect of the samples in two-dimensional plane.Convergence experiments were used to verify the feasibility of the model.Results For differentiation of HGG from LGG with a missing rate of 10%,the proposed model achieved accuracy,balanced accuracy,AUC,specificity,and sensitivity of 0.777,0.768,0.826,0.754 and 0.780,respectively.The fused latent features showed excellent performance in the class separability experiment,and the algorithm could be iterated to convergence with superior classification performance over other methods at the missing rates of 30%and 50%.Conclusion The proposed model has excellent performance in classification task of HGG and LGG and outperforms other non-holonomic multimodal classification models,demonstrating its potential for efficient processing of non-holonomic multimodal data.