Objective: To construct prediction models of female stress urinary incontinence (SUI), and evaluate the efficacy of each model, so as to provide reference for the early diagnosis of SUI. Methods: Female SUI patients treated in our hospital during Oct. 2019 and Oct. 2023 and healthy women undergoing physical examination during the same period were involved. Women 42 days after delivery were included in the postpartum group (n=611), and perimenopausal and postmenopausal women were included in the non-postpartum group (n=409). The number of random seeds was set and the participants were divided into the training and verification sets in a ratio of 7∶3. Relevant clinical data were collected, and meaningful variables were screened using single factor and Lasso regression, which were then incorporated into the K-nearest neighbor method (KNN), support vector machine (SVM)，decision tree (DT) and random forest (RF) algorithms. The sensitivity, specificity, accuracy and area under the receiver operating characteristic curve (AUC) of the models were calculated to screen out the optimal model. Results: There were 352 SUI patients (57.6%) in the postpartum group. According to single factor and Lasso regression, significant variables included age, body mass index (BMI), maximum rapid muscle stage, parity, bladder neck mobility (BND), urethral rotation angle (URA), lateral perineal incision, past incontinence, and constipation. In the verification set, the AUC of KNN，SVM，DT and RF models were 0.881，0.878，0.750 and 0.905,respectively; the AUC, accuracy, F1 index and Kappa value of RF model were the largest. In the non-postpartum group, there were 260 SUI patients, accounting for 63.6%. The significant variables were age，BMI, maximum value and recovery time of fast muscle stage, mean value of slow muscle stage, post-resting stage variability, vaginal delivery, past incontinence, and constipation. In the verification set, the AUC of KNN,SVM，DT and RF models were 0.819,0.805，0.603 and 0.830, respectively; the AUC, accuracy, Kappa value of the RF model were the largest. Conclusion: This study successfully established 4 prediction models for the incidence of SUI in women at 42 days postpartum, perimenopausal and postmenopausal women based on machine learning. Among them, the model adopting the RF algorithm had the best prediction efficiency.

Objective:To construct medical students' employment quality evaluation index system based on analytic hierarchy process (AHP), for providing basis to scientific and objective evaluation of medical students' employment quality.Methods:Two rounds of consultation with 21 experts were conducted to construct medical students' employment quality index and evaluation standard by Delphi method, and the weight of each index and evaluation standard determined by AHP. Excel 2007 and SPSS 21.0 were used to analyze the results of expert consultation. The enumeration data were expressed as frequency and percentage. The mean and coefficient of variation were used to describe the importance scores of experts on indicators at all levels. The positive coefficient, authority coefficient and coordination degree of experts were calculated, and the Kendall coordination coefficient ( W) test was carried out. Yaahp 6.0 is used to analyze the pairwise comparison matrix in the analytic hierarchy process to calculate the weight of the indicator. Results:The authority of expert consultation was ranged from 0.77 to 0.94, and the positive coefficient of experts was 100.00%. The evaluation system of medical students' employment quality was determined, which involved 3 first-class indexes, 9 second-class indexes and 35 third-class indexes, and the weight coefficients of each index were calculated by AHP.Conclusion:The evaluation index system of medical students' employment quality is reasonable, which can be used to provide reference standard for medical students' employment quality evaluation, and has certain application value.

In the wake of the COVID-19 pandemic, only through whole-hearted cooperation and joined efforts can medical institutions, governments, and social organizations cope with emergency, convert the crisis into opportunities, promote modern governance and accomplish high-quality development in the fight against the pandemic. Taking the First Affiliated Hospital of Xi’an Jiaotong University as an example, this paper analyzes the all-media communication matrix of "one network platform, 3W + N" that the hospital established during the pandemic by combining the authoritative official website with WeChat, Wesee, Weibo and that other publicity media. The study explores how to create a publicity brand that is mindful, poignant, compassionate and devoted and maintains its scientific and refined management, so as to achieve the professional goal of educating the public, shouldering the responsibility in the combat against the pandemic, and taking the lead in the research on the pandemic.

Objective:To investigate the value of radiomics based on unenhanced CT texture analysis in predicting the WHO/International Society of Urological Pathology (ISUP) grading of clear cell renal cell carcinoma (ccRCC).Methods:Postoperative pathology-confirmed ccRCC subjects ( n=90) who received CT scanning and had a definite pathological grading in Cancer Hospital of the University of Chinese Academy of Sciences were collected retrospectively from December 2016 to May 2019. The cases were randomly divided into training group ( n=63) and test group ( n=27) as a ratio of 7∶3. All cases were classified into low grade (grades Ⅰ and Ⅱ, n=57) and high grade (grades Ⅲ and Ⅳ, n=37) according to the new pathological grading (WHO/ISUP grading, version 2016) of renal carcinoma. 3D-ROI segmentation was performed on unenhanced CT images and 93 texture features were extracted. The least absolute shrinkage and selection operator (LASSO) regression was used to reduct dimension of texture parameters and then the radiomics score (Rad-score) was established. The logistic regression was used to develop the prediction model with the pathological grading as the gold standard. The ROC curve and calibration curve were used to evaluate the predictive performance of the model, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. The Hosmer-Lemeshow test was used to evaluate calibration degree of the model. Results:The 10 non-zero coefficient texture features were screened out through dimension reduction steps. The Rad-score was formed according to the linear combination of these ten features and corresponding coefficients, and then the prediction model was developed. The AUC of the model in training group was 0.933 (95%CI 0.862-1.000), the sensitivity was 92.3%, the specificity was 89.2%, and the model accuracy was 90.5%. The calibration curve showed the good calibration ( P=0.257). The AUC value in test group was 0.875 (95%CI 0.734-1.000), the sensitivity, specificity and accuracy were 72.7%, 87.5% and 81.5%. The calibration curve showed the good calibration ( P=0.125). Conclusion:The radiomics prediction model based on unenhanced CT texture analysis have application potential for the evaluation of WHO/ISUP grading of ccRCC.

Concurrent chemoradiotherapy is widely accepted as the standard treatment for locally advanced inoperable esophageal cancer, and 50.0 to 50.4 Gy is recommended as the optimal dose for definitive treatment by the international guidelines. However, esophageal cancer in China is quite different from that in western countries in terms of the pathological type and biological characteristics, and a radiation dose of 60 Gy is recommended. Whether dose-escalated radiotherapy could bring survival benefits remains to be urgently resolved. Some scholars indicate that the higher radiation dose is correlated with better local tumor control and more favorable survival outcomes, whereas others hold the view that increased toxicity and no survival benefits have been observed in the high dose arm. Therefore, this review is to evaluate the impact caused by different radiation doses and assess the clinical efficacy, aiming to individualize the radiation dose.

Objective:To evaluate the effect of definitive radiotherapy with different doses on overall survival (OS) and identify the prognostic factors of patients with non-metastatic esophageal squamous cell carcinoma (ESCC).Methods:Clinical data of 2 344 ESCC patients treated with definitive radiotherapy (RT) alone or chemoradiotherapy from 2002 to 2016 in 10 hospitals were collected and analyzed retrospectively. After the propensity score matching (PSM)(1 to 2 ratio), all patients were divided into the low-dose group (equivalent dose in 2 Gy fractions, EQD 2Gy<60 Gy; n=303) and high-dose group (EQD 2Gy≥60 Gy; n=606) based on the dose of radiation. Survival analysis was conducted by Kaplan- Meier method. Multivariate prognostic analysis was performed by Cox′s regression model. Results:The median follow-up time was 59.6 months. After the PSM, the 1-, 3- and 5-year overall survival (OS) rate was 66.5%, 34.7%, 27.2% in the low-dose group, 72.9%, 41.7% and 34.7% in the high-dose group, respectively ( P=0.018). The 1-, 3-and 5-year progression-free survival rate was 52.2%, 27.2%, 23.1% in the low-dose group, 58.3%, 38.1% and 33.9% in the high-dose group, respectively ( P=0.001). The outcomes of univariate analysis indicated that cervical/upper esophagus location, early (stage Ⅱ) AJCC clinical stage, node negative status, tumor length ≤5 cm, receiving intensity-modulated radiation therapy (IMRT), receiving concurrent chemotherapy and EQD 2Gy≥60 Gy were closely associated with better OS (all P<0.05). Multivariable analysis demonstrated that tumor location, regional lymph node metastasis, concurrent chemotherapy and EQD 2Gy were the independent prognostic factors for OS (all P<0.05). Conclusion:Three-dimensional conformal or IMRT with EQD 2Gy≥60 Gy yields favorable survival outcomes for patients with locally advanced ESCC.

There are various bacterial colonies in the human intestine, which play an important role in the maintenance of human intestinal function and the maintenance of the systemic immune system. After years of research, researchers have found that intestinal flora are closely related to a variety of inflammatory and immune diseases. In recent years, immunotherapy has attracted more and more attention in the treatment of malignant tumors. In these immunotherapy researches, researchers have found that the composition and changes of intestinal flora can affect the efficacy of tumor immunotherapy to a certain extent. In this paper, the literatures related to intestinal flora and tumor immunotherapy were reviewed from four aspects including the relationship between intestinal flora and body's immune mechanism, current status of tumor immunotherapy, correlation research between intestinal flora and tumor immunotherapy, and related factors that affect changes in intestinal flora composition. The researches on intestinal flora and tumor immunotherapy in the past ten years were mainly summarized. The analysis results showed that the intestinal flora plays an important role in the body's immune mechanism and is closely related to the efficacy of tumor immunotherapy.

Objective To explore the application value of multiphase dynamic contrast-enhanced MRI (MDCE-MRI) in the early chemoradiation efficacy in cervical cancer.Methods Twenty-one patients with cervical cancer received chemoradiation.Routine MR scan and MDCE-MRI scan were examined at different stages, including pre-treatment, 15 days,1 month and 2 months after treatment.According to volume change of the tumor after treatment, the cases were mainly divided into complete remission(CR), partial remission (PR).The correlation between volume change of cancer after treatment and the time-signal intensity curve (TIC),mean time to enhancement(MTE),time to peak(TTP),maximum slope of increase(MSI),maximum slope of decrease(MSD), negative enhancement integral (NEI) were analysed.Results After system chemoradiation for 2 months,4 of enrolled patients got complete remission and 17 partial remission.The reduction rate of the tumor diameter was negatively correlated to MSI values(r=-0.877,P<0.05) and positively related with NEI (r=0.819,P<0.05) before the treatment.15 days after the treatment, the diminished rate of the tumor diameter had active relation with change of TTP(r=0.765,P<0.05) and NEI(r=0.775,P<0.05).It indicated that MSI and NEI values before cervical cancer chemoradiation and the variation of TTP and NEI after treatment for 15 days could help predict the variation tendency of cancer diameter.Chemoradiation and therapy 1 month later,for all the parameters'' AUC values,the change rate of NEI were the largest one.When the critical value was not less than 96.46%, the sensitivity was 82.4%, specificity was 75%.TIC curve of type Ⅰ increased, type Ⅲ decreased to disappear gradually.Conclusion MDCE-MRI can be used to predict the efficacy of chemoradiation in cervical cancer patients, of which the MSI, TTP and NEI are more sensitive.

Objective By comparing and analyzing the etiological monitoring results of influenza in Xicheng District general hos-pital and children′s Hospital ,to explore the epidemic regularity of influenza in children ,so as to provide the basis for developing in-fluenza prevention and control measures .Methods A total of 40 swabs of influenza samples were collected every week from two sentinel hospitals ,and the virus RNA was extracted and detected by RT-PCR method .Results There was a statistically significant difference in positive rate of influenza pathogen surveillance between general hospitals and children′s hospitals (21 .8% vs .14 .9% ) (P<0 .001) .In the general hospital ,the positive rate was highest in people aged ≥60 years old(31 .3% ) .In the children′s hospital , the positive rate was highest in people aged >4—14 years old(26 .7% ) .Both hospitals had an epidemic peak of influenza from No-vember to December of next year ,it was typical influenza epidemic of the North area .But the children′s hospital had a epidemic trough in January and February .In both hospitals ,the circulating strains were H3 ,H1N1 ,type B ,the predominant type was H3 and type B .Conclusion Taking the general hospital as a reference ,the quality of influenza surveillance in the children′s hospital was relatively stable and reliable .Lack of the people aged >24— <60 years old and aged ≥60 years old in children′s hospital ,is the key reason of the statistically significant difference of the positive rate ,between the general hospital and the children′s hospital .Chil-dren′s influenza vaccination rate is higher than the other age group ,and the protective effect of vaccine is better .

The incidence of rectal cancer gradually increased in our country in recent years.Preoperative imaging methods are used to accurately display the lesions of rectal cancer,providing accurate quantitative diagnostic information,therefore being important to formulate reasonable and individualized therapy clinically.Intra-voxel incoherent motion (IVIM) is a multi parameter imaging technology.IVIM can provide the diffusion and perfusion information from the molecular level.Theoretically,the microstructure information of internal rectal cancer cell density and the vascular density,and the tumor cell metabolism can be displayed quantitatively with IVIM imaging,which can reflect the heterogeneity of the tumor and its degree during different periods.The application status and the future development of IVIM technique in management of rectal cancer were reviewed in this article.