Objective: To analyze the school tuberculosis (TB) outbreaks and preventive treatment in Hefei from 2022 to 2024, so as to provide reference for TB prevention and control in schools. Methods: Data were collected on all school based TB outbreaks occurring during 2022-2024 in Hefei, defined as ≥2 epidemiologically linked TB cases within the same school during a single semester. Statistical analyses were performed using the Chi square test. Results: Close contacts exhibited significantly higher TB incidence (2.88%) and latent mycobacterium tuberculosis infection (LTBI) rates (13.80%) in the school TB outbreaks, compared to non close contacts (0.12% and 2.63%, respectively). Among close contacts, secondary school students showed lower TB incidence (0.48%) and LTBI prevalence (3.42%) than both primary school or younger children (0.68%, 6.95%) and college students ( 0.78% , 6.50%), with statistically significant differences ( χ 2=360.91, 6.37; 791.71, 102.03, all P <0.05). The proportion of LTBI individuals recommended for preventive therapy was higher in primary school or younger groups (98.59%) than in secondary (95.25%) or college students (86.34%) ( χ 2=25.86, P <0.01). However, among those recommended, close contacts had higher uptake (85.82%) and completion rates (87.25%) of preventive therapy than non close contacts (69.63% and 70.57%); similarly, secondary school students demonstrated higher uptake (91.21%) and completion rates (86.45%) compared to primary school or younger (88.57%, 83.87%) and college students (57.28%, 64.08%) ( χ 2=30.52, 26.72; 125.17, 38.84, all P <0.01). Subsequent TB incidence among LTBI close contacts (13.30%) and among those who did not complete preventive therapy (22.73%) were significantly higher than among non close contacts (2.80%, 2.41%), respectively ( χ 2=32.19, 13.87, both P <0.05). Conclusions In school TB outbreaks, close contacts face higher LTBI prevalence and subsequent TB risk than non close contacts. College students show notably low adherence to preventive therapy. It is necessary to take targeted measures to improve the compliance of preventive measures among students.

OBJECTIVE To explore the efficacy and safety of sofosbuvir-velpatasvir(SOF/VEL)combined with or without ribavirin(RBV)in treatment of the patients with genotype 3(GT3)chronic hepatitis C(CHC)and liver cirrhosis.METHODS Totally 230 patients with CT3 CHC and liver cirrhosis who were treated in Traditional Chi-nese Hospital of Xinjiang Uygur Autonomous Region,Xinjiang Hetian Specialized Hospital of Infectious Diseases and Xinjiang Manasi County People's Hospital from Jun.2018 to Mar.2023 were recruited as the research sub-jects.The clinical curative effects were observed after the subjects were treated with single SOF-VEL or the com-bination with RBV for 12 to 24 weeks.The indexes including high-sensitivity hepatitis C RNA(HCV RNA),blood routine indexes,liver function indexes and noninvasive diagnosis indexes for liver fibrosis were observed,and the sustained virological response 12 weeks after the treatment(SVR12)was analyzed.RESULTS The mean age of the enrolled patients was(42.31±11.18)years old,the male patients accounted for 66.52％,and there were 137 cases of GT3a and 93 cases of GT3b 93,there were 183 cases of CHC,44 cases of compensated cirrhosis(CC)and 3 cases of decompensated cirrhosis(DCC).There were 189 cases of single HCV infection,33 cases of mixed infections of HCV and HIV,6 cases of mixed infections of HBV/HCV and 2 cases of triple infections of HBV/HCV/HIV.The overall SVR12 of the 230 patients was 99.57％,the SVR12 of the GT3a type patients was 100.00％,the GT3b type patients 98.92％.The SVR12 of the patients with CHC,CC and DCC were 99.45％,100.00％and 100.00％,respectively.The SVR12 of the patients with single HCV infection,HCV/HIV infec-tion,HBV/HCV infection and HBV/HCV/HIV were 99.47％,100.00％,100.00％and 100.00％,respective-ly.No patient quit the direct-acting antivirals(DAAs)treatment due to the drug-induced adverse reactions.1 pa-tient had relapse due to irregular administration of DAAs.CONCLUSION The virological response rate is high a-mong the patients with GT3 CHC and liver cirrhosis who are treated with single SOF/VEL or the combination with RBV,with the safety favorable.

Objective:To construct and validate a predictive model for postoperative recurrence in early non-small cell lung cancer patients.Methods:The clinical data of 252 patients with early non-small cell lung cancer admitted to the 926th Hospital of Joint Logistic Support Force of PLA from January 2016 to January 2018were retrospectively collected. All of the patients underwent surgical treatment and they were followed up for 5 years after surgery, according the recurrence after surgery, they were divided into the recurrence group (103 cases) and non- recurrence group (149 cases). The risk factors for postoperative recurrence in early non-small cell lung cancer patients were analyzed. A predictive model for postoperative recurrence in early non-small cell lung cancer patients was constructed and validated.Results:The results of Logistic regression analysis showed that tumor long diameter≥ 3 cm, lymph node metastasis, low differentiation, spicules and pleural traction were independent risk factors for postoperative recurrence in early non-small cell lung cancer patients ( P<0.05). Using R4.0.3 statistical software, the dataset was randomly divided into a training set and a validation set, with a sample size of 176 cases in the training set and 76 cases in the validation set. A prediction model was constructed, with thearea under the curve (AUC) of the receiver operating characteristic (ROC) curve of 0.754 (95% CI 0.679 - 0.828) in the training set and AUC of 0.749 (95% CI 0.634 - 0.864) in the validation set. The model was subjected to a Hosmer-Lemeshow Goodness-of-Fit Test in the validation set, χ2 = 11.31, P = 0.185. Conclusions:The predictive model base on tumor long diameter ≥ 3 cm, lymph node metastasis, low differentiation, spicules and pleural traction can identify patients at high risk of postoperative recurrence in early non-small cell lung cancer effectively.

OBJECTIVE To explore the efficacy and safety of sofosbuvir-velpatasvir(SOF/VEL)combined with or without ribavirin(RBV)in treatment of the patients with genotype 3(GT3)chronic hepatitis C(CHC)and liver cirrhosis.METHODS Totally 230 patients with CT3 CHC and liver cirrhosis who were treated in Traditional Chi-nese Hospital of Xinjiang Uygur Autonomous Region,Xinjiang Hetian Specialized Hospital of Infectious Diseases and Xinjiang Manasi County People's Hospital from Jun.2018 to Mar.2023 were recruited as the research sub-jects.The clinical curative effects were observed after the subjects were treated with single SOF-VEL or the com-bination with RBV for 12 to 24 weeks.The indexes including high-sensitivity hepatitis C RNA(HCV RNA),blood routine indexes,liver function indexes and noninvasive diagnosis indexes for liver fibrosis were observed,and the sustained virological response 12 weeks after the treatment(SVR12)was analyzed.RESULTS The mean age of the enrolled patients was(42.31±11.18)years old,the male patients accounted for 66.52％,and there were 137 cases of GT3a and 93 cases of GT3b 93,there were 183 cases of CHC,44 cases of compensated cirrhosis(CC)and 3 cases of decompensated cirrhosis(DCC).There were 189 cases of single HCV infection,33 cases of mixed infections of HCV and HIV,6 cases of mixed infections of HBV/HCV and 2 cases of triple infections of HBV/HCV/HIV.The overall SVR12 of the 230 patients was 99.57％,the SVR12 of the GT3a type patients was 100.00％,the GT3b type patients 98.92％.The SVR12 of the patients with CHC,CC and DCC were 99.45％,100.00％and 100.00％,respectively.The SVR12 of the patients with single HCV infection,HCV/HIV infec-tion,HBV/HCV infection and HBV/HCV/HIV were 99.47％,100.00％,100.00％and 100.00％,respective-ly.No patient quit the direct-acting antivirals(DAAs)treatment due to the drug-induced adverse reactions.1 pa-tient had relapse due to irregular administration of DAAs.CONCLUSION The virological response rate is high a-mong the patients with GT3 CHC and liver cirrhosis who are treated with single SOF/VEL or the combination with RBV,with the safety favorable.

Objective:To construct and validate a predictive model for postoperative recurrence in early non-small cell lung cancer patients.Methods:The clinical data of 252 patients with early non-small cell lung cancer admitted to the 926th Hospital of Joint Logistic Support Force of PLA from January 2016 to January 2018were retrospectively collected. All of the patients underwent surgical treatment and they were followed up for 5 years after surgery, according the recurrence after surgery, they were divided into the recurrence group (103 cases) and non- recurrence group (149 cases). The risk factors for postoperative recurrence in early non-small cell lung cancer patients were analyzed. A predictive model for postoperative recurrence in early non-small cell lung cancer patients was constructed and validated.Results:The results of Logistic regression analysis showed that tumor long diameter≥ 3 cm, lymph node metastasis, low differentiation, spicules and pleural traction were independent risk factors for postoperative recurrence in early non-small cell lung cancer patients ( P<0.05). Using R4.0.3 statistical software, the dataset was randomly divided into a training set and a validation set, with a sample size of 176 cases in the training set and 76 cases in the validation set. A prediction model was constructed, with thearea under the curve (AUC) of the receiver operating characteristic (ROC) curve of 0.754 (95% CI 0.679 - 0.828) in the training set and AUC of 0.749 (95% CI 0.634 - 0.864) in the validation set. The model was subjected to a Hosmer-Lemeshow Goodness-of-Fit Test in the validation set, χ2 = 11.31, P = 0.185. Conclusions:The predictive model base on tumor long diameter ≥ 3 cm, lymph node metastasis, low differentiation, spicules and pleural traction can identify patients at high risk of postoperative recurrence in early non-small cell lung cancer effectively.

Objective To study the effects from varying stenosis degrees of the mesencephalic aqueduct on intracranial cerebrospinal fluid(CSF)flow field.Methods Based on the clinical magnetic resonance image sequences of a male volunteer,a complete normal CSF circulation model was reconstructed by using semi-automated image segmentation technique.Subsequently,eight ideal models representing different stenosis degrees of the mesencephalic aqueduct were manually created.Computational fluid dynamics(CFD)was then performed to simulate the CSF flow field in the nine models.Results The stenosis degree of the mesencephalic aqueduct was positively correlated with the maximum pressure difference between the aqueduct upstream and downstream and the maximum velocity of CSF within the stenosed aqueduct.In the normal model,the maximum pressure difference was 0.84 Pa and the maximum velocity was 11.4 mm/s.While in the maximum stenosed model,the maximum pressure difference and velocity were 21.36 Pa and 60.3 mm/s,respectively.Compared to the normal model,the maximum pressure difference and velocity were approximately increased by 25 times and 5 times,respectively.Moreover,the maximum pressure difference was inversely proportional to the stenosis area square of the aqueduct,and there was a linear relationship between the pressure difference and the quadratic of the maximun CSF velocity.Conclusions The pressure difference and velocity of the stenosed mesencephalic aqueduct was not apparently increased with mild stenosis with respect to the normal aqueduct,while the great aqueductal stenosis increased the risk of hydrocephalus.This study provides a theoretical framework which contributes to understanding the development of obstructive hydrocephalus and intracranial hypertension.

Objective:To investigate the significance of serum β2-microglobulin(β2-MG)for survival and relapse of patients with diffuse large B-cell lymphoma(DLBCL)in the rituximab era.Methods:Clinical data of 92 patients with DLBCL admitted from December 2003 to July 2015 were retrospectively analyzed.The optimal cutoff value of β2-MG levels for predicting prognosis of the DLBCL patients was determined using receiver operating characteristic(ROC)curve.Kaplan-Meier analysis was used to estimate progression-free survival(PFS)and overall survival(OS).Cox logistic regression analysis was used to explore potential prognostic factors associated with survival.Binary logistic regression analysis was used to analyze the relationship between various factors and relapse.Results:The most discriminative cutoff value for β2-MG level was determined to be 2.25 mg/L by the ROC curve.Subgroup analysis showed that patients in the elevated β2-MG(＞2.25 mg/L)group had significantly worse PFS(P=0.006)and a trend toward worse OS compared with those in the low β2-MG(≤2.25 mg/L)group(P=0.053).Univariate analysis showed that elevated β2-MG,age＞60 years,Ann Arbor stage Ⅲ-Ⅳ,as well as IPI score ≥ 3 were associated with worse PFS.Binary logistic regression analysis showed that age＞60 years and β2-M G＞2.25 mg/L were potential influencing factors for relapse of DLBCL patients.Conclusion:Serum β2-MG might be an important predictor for the survival and relapse of DLBCL patients in the rituximab era.

BACKGROUND:The highest incidence of spinal fracture is in the thoracolumbar segment,and its symptoms are back pain,posterior convexity deformity,activity limitation,or with spinal cord nerve injury causing lower limb pain,numbness,and even paraplegia and other complications.The finite element method is a digital computer modeling technique,which can simulate the physical model and carry out force analysis realistically.OBJECTIVE:To review the application of finite element method in thoracolumbar spine fractures.METHODS:We searched the Chinese and English literature databases PubMed,Web of Science,and CNKI for relevant literature on the application of the finite element analysis method in spinal thoracolumbar fracture published before March 2024.The search terms in Chinese and English were:finite element analysis methods,biomechanical phenomena,stress analysis,thoracolumbar fractures,spinal fractures.Finally,55 papers were included.RESULTS AND CONCLUSION:(1)The exploration of thoracolumbar fractures caused by different etiologies(osteoporotic,traumatic,and pathological)through the finite element method is conducive to a deeper understanding of the biomechanics of various types of thoracolumbar fractures,and to improve the individualized and fine-tuned treatment of thoracolumbar fractures.(2)The finite element analysis of a single sample or a small number of samples has the chance,and a larger number of samples are required for the future finite element analysis to reduce the chance caused by the sample.(3)The rigid structure of bones alone cannot meet the biomechanical working conditions of the integrity of the physical object,and future finite element models need to incorporate all the structures of the physical object(e.g.,soft tissues,such as muscles and ligaments)as far as possible.(4)The finite element method has been used in more studies on osteoporotic and traumatic thoracolumbar spine fractures,which will need to be more in-depth in the future,and less in the field of pathologic thoracolumbar fractures,which has a wider scope for future research.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.