Benign prostatic hyperplasia (BPH) is one of the most common diseases in elderly men，and surgical treatment is one of the major therapeutic modalities.The management of prostatic hyperplasia nodules，especially capsular embedded hyperplasia nodules，is crucial to reduce the incidence of postoperative complications and rate of secondary surgery.In this essay，we summarize the sources of prostatic hyperplasia nodules，relationship between incidence of postoperative complications and capsular embedded hyperplasia nodules，advantages and disadvantages of various surgical procedures for the management of hyperplasia nodules and share our experience in the management of capsular embedded hyperplasia nodules in thulium laser enucleation of the prostate.

Objective: To analyze the correlation between the levels of vitamin A, vitamin D, vitamin E with body fat mass percentage(FMP) as well as lifestyle factors among primary school students, so as to provide references for exploring the vitamin nutritional status of primary school students and its potential influencing factors. Methods: From September 1 to October 30, 2021, a cluster sampling method was used to select 750 thirdgrade students from eight primary schools in Luohu District, Shenzhen. Their body composition was measured, and blood samples were collected to detect the serum levels of vitamin A, vitamin D, and vitamin E using a mass spectrometer. Dietary and exercise habits were collected through questionnaires. Mann-Whitney U test and Kruskal-Wallis H rank sum test were used for inter group comparisons, spearman correlation was used for correlation analysis,and Logistic regression model was used to analyze the association between lifestyle and vitamin content. Results: The overall level of vitamin A in school aged children was 0.4 (0.4, 0.5) mg/L, with a deficiency rate of 0 and a marginal deficiency rate of 5.1%; the level of vitamin D was 26.0 (22.0, 30.0) ng/mL, with a deficiency rate of 0.4% and an insufficiency rate of 12.7%; the content of vitamin E was 11.8 (10.1, 13.5) mg/L, with an insufficiency rate of 0.8%. Spearman correlation analysis showed that vitamin A was positively correlated with FMP in the total population, boys, girls, and normal weight population ( r =0.18, 0.18, 0.20, 0.10), and vitamin D was positively correlated with FMP in the total population and obese population ( r =0.08,0.16)(all P <0.05). Logistic regression analysis showed that marginal deficiency of vitamin A was associated with consumption of animal, snack, and dairy/egg/bean foods ( OR =0.45, 0.55, 0.59); whether vitamin D was deficient was influenced by gender ( OR =2.65) and exercise ( OR = 1.96 ) (all P <0.05). Conclusion Vitamin A, vitamin D and vitamin E levels are associated with body fat percentage, with significant variations in vitamin status among individuals of different body types, necessitating targeted supplementation.

ObjectiveTo investigate the application value of a multimodal model integrating radiomics features， deep learning features， and clinical structured data in predicting severe acute pancreatitis （SAP）， and to provide more accurate tools for the early identification of SAP in clinical practice. MethodsThe patients with acute pancreatitis （AP） who attended The First Affiliated Hospital of Soochow University， Jintan Hospital Affiliated to Jiangsu University， and Suzhou Yongding Hospital from January 1， 2017 to December 31， 2023 were included. Related data were collected， including demographic information， previous medical history， etiology， laboratory test data， and systemic inflammatory response syndrome （SIRS） within 24 hours after admission， as well as imaging data within 72 hours after admission， while related scores were calculated， including Ranson score， modified CT severity index （MCTSI）， bedside index for severity in acute pancreatitis （BISAP）， and systemic inflammatory response syndrome， albumin， blood urea nitrogen and pleural effusion （SABP） score. The model was constructed in the following process： （1） three-dimensional CT images were used to extract and identify radiomics features， and a radiomics classification model was established based on the extreme gradient Boost （XGBoost） algorithm； （2） U-Net is used to perform semantic segmentation of three-dimensional CT images， and then the results of segmentation were imported into 3D ResNet50 to construct a deep learning classification model； （3） the predicted values of the above two models were integrated with clinical structured data to establish a multimodal model based on the XGBoost algorithm. The variable importance plot and local interpretability plot were used to perform visual interpretation of the model. The independent samples t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or Fisher’s exact test was used for comparison of categorical data between groups. The receiver operating characteristic （ROC） curve was plotted for each model and existing scoring systems， and the area under the ROC curve （AUC） was calculated to assess their performance； the Delong test was used for comparison of AUC. ResultsA total of 609 patients who met the criteria were included， among whom 114 （18.7%） developed SAP. In this study， the data of 426 patients from The First Affiliated Hospital of Soochow University was used as the training set， and the data of 183 patients from Jintan Hospital Affiliated to Jiangsu University and Suzhou Yongding Hospital were used as the independent test set. The multimodal model had an AUC of 0.914 in the test set， which was significantly higher than the AUC of traditional scoring systems such as MCTSI （AUC=0.827）， Ranson score （AUC=0.675）， BISAP （AUC=0.791）， and SABP score （AUC=0.648）； in addition， the multimodal model showed a significant improvement in performance compared with the radiomics classification model （AUC=0.739） and the deep learning classification model （AUC=0.685） （the Delong test： Z=-3.23， -4.83， -3.48， -4.92， -4.31， and -4.59， all P <0.01）. The top 10 variables in terms of importance in the multimodal model were pleural effusion， predicted value of the deep learning model， predicted value of the radiomics model， triglycerides， calcium ions， SIRS， white blood cell count， age， platelets， and C-reactive protein， suggesting that the above variables had significant contributions to the performance of the model in predicting SAP. ConclusionBased on structured data， radiomic features， and deep learning features， this study constructs a multicenter prediction model for SAP based on the XGBoost algorithm， which has a better predictive performance than existing traditional scoring systems and unimodal models.

Under the background of high-intensity fattening,probiotics have gradually become wide-ly used feed additives.It can inhibit the proliferation of pathogenic bacteria,maintain the microeco-logical balance in the digestive tract,and improve the host immune function.In order to screen lac-tic acid bacteria strains with potential probiotic effects,23 acid-producing strains were isolated from rumen fluid of healthy Duolang sheep by CaCO3-MRS solid medium.Safe strains were re-screened through primary screening and hemolysis tests.Acid tolerance tests and bile salt tests were used to screen the strains that were relatively adapted to the rumen environment.The survival rate of the strain M2 was 93.80％under pH3.0 and 59.72％under bile salt concentration of 0.30％and the survival rate is higher than other strains under high temperature conditions.Subsequently,morphological observation,molecular biological identification,testing of pathogen antagonism,antibiotic tolerance analysis,growth characteristics detection and other methods were used to fur-ther explore the characteristics of the strain.The results showed that the strain to be tested was Gram-positive bacillus.After 16S rRNA gene sequence comparison,the strain was identified as Lactobac illus salivus,which could be used as a candidate strain to develop probiotics.The research results laid a foundation for its application in Duolang sheep breeding.

In this study,we aim to provide a comprehensive overview of the postoperative nursing care for patients undergoing radiofrequency catheter ablation in conjunction with minimally invasive left ventricular assist device implantation.The main nursing considerations include the following aspects.Regular assessment of the pulsation of bilateral lower limb arteries was conducted in order to maintain vigilance against the occurrence of deep vein thrombosis;the goal-oriented fluid management strategies were executed;it was crucial to focus on gastrointestinal responses and take steps to prevent gastrointestinal bleeding;the monitoring of chest indicators and respiratory function was enhanced to facilitate early detection of pneumothorax;the optimization of pain management was maximized.Following meticulous care and medical attention,the patient was transferred to the general ward on the 8th day post-surgery.On the 21st day after the procedure,the patient achieved full recovery and was subsequently discharged.

Objective:To explore the diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers by comparing the differences of whole blood cell parameters between occupational radiation injury population and occupational health examination population.Methods:In February 2023, 184 radiation workers who received occupational health examinations in our hospital and occurrenced chromosome aberration from July 2021 to July 2022 were retrospectively selected as the radiation injury group. And other 184 radiation workers encountered in the same period without chromosome aberration occurrence were selected as the control group. Collected whole blood cell parameters from two groups of research subjects, conducted comparative analysis, constructed a logistic regression model, and evaluated the diagnostic value of the logistic regression model for radiation injury on radiation workers by receiver operating characteristic curve (ROC) and area under curve (AUC) . In addition, with the same standard, 60 radiation workers with chromosome aberration and 60 radiation workers without chromosome aberration from August 2022 to January 2023 were included in the validation queue to validate the logistic regression model.Results:Neu_X, Neu_Y, Neu_Z, Lym_X, Lym_Y, Lym_Z, Mon_X, Mon_Y, Mon_Z, Micro, MCHC in the radiation injury group were significantly higher than those in the control group, and the difference was statistically significant ( P<0.05) . And MCV and Macro in the radiation injury group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . Moreover, logistic regression analysis showed that Lym_X, Lym_Y, Lym_Z, MCHC, Micro were all independent risk factors for diagnosing radiation injury on radiation workers ( OR=1.08、1.02、0.99、1.06、51.32, P<0.05) . ROC curve analysis showed that the AUC, sensitivity, specificity, and accuracy of the logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro in diagnosing radiation injury on radiation workers were 0.80, 85.9%, 65.8% and 75.9% respectively. The validation queue verified the logistic regression model and the AUC, sensitivity, specificity, and accuracy of the logistic regression model were 0.80, 81.7%, 71.7% and 76.7% respectively, the model fitted well. Conclusion:Radiation damage can cause changes in multiple whole blood cell parameters of radiation workers. The logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro showed good diagnosis ability and can be used for the screening of radiation injury on radiation workers.

In recent years, great progress has been made in the diagnosis and treatment of pancreatic tumors. In terms of diagnosis, three-dimensional CT reconstruction, PET-CT scan, endoscopic ultrasound with needle biopsy are used to evaluate the benign or malignant stage and biological characteristics of the tumor, to make treatment decisions more scientific and reasonable. In terms of treatment, new technologies, such as arterial priority arterial sheath dissection and radical resection of the retroperitoneal lipo-lymphatic layer, have continuously emerged to improve radical curability of tumors. For benign or low-grade malignant pancreatic tumors, function-preserving surgery is adopted to avoid long-term complications. Minimally invasive pancreatic surgery has advanced in leaps and bounds. Both standard radical surgery and function-preserve surgery can be performed under a laparoscope or robot. Non-surgical treatment has developed quickly with each passing day; for locally advanced or metastatic pancreatic cancer, neoadjuvant therapy is expected to be down-staged or transformed into surgery. These advances in diagnosis and treatment technology have led to multidisciplinary teamwork. Based on accurate assessment, giving full play to the advantages of laparoscopic and robotic systems in diagnosis and treatment, attaching importance to comprehensive nonsurgical treatment and doctor-patient communication with care throughout the process, these are keys to improve the clinical efficacy of pancreatic tumors in the era of minimally invasive surgery.

Objective:To summarize the experience of robot-assisted enucleation of tumors located in uncinate process of pancreas.Methods:This is a retrospective case series study. The clinical data of patients with robot-assisted enucleation of tumors located in the uncinate process of pancreas at the Department of Gastroenterology and Pancreatic Surgery,Zhejiang Provincial People′s Hospital from June 2019 to December 2023 were retrospectively analyzed. A total of 16 cases were enrolled,including 10 males and 6 females,with an age( M(IQR)) of 56(21)years (range: 28 to 77 years),and body mass index of 22.4(2.3)kg/m 2 (range:19.8 to 25.6 kg/m 2). Follow-up was asked every 6 to 12 months after the first 3-month postoperative follow-up through out-patient service or via telephone. Results:In total 16 cases,there were 11 cases with pancreatic enucleation,and 5 cases with resection of the uninate process. The operation time was 70(60) minutes (range: 40 to 165 minutes),and the blood loss was 30(13)ml (range: 10 to 80 ml). The rate of pancreatic fistula was 5/16. The length of stay was 8(6)days (range: 5 to 33 days). The pathological finding included non-functional neuroendocrine tumor( n=3),insulinoma( n=2),introductal papillary mucinous neoplasm ( n=5),solid pseudopapillary neoplasm ( n=2),mucinous cystadenoma ( n=1),serous cystadenoma ( n=2),pseudocyst ( n=1). Follow-up as of March 12, 2024, the follow-up time was 16(12)months (range: 3 to 41 months). All patients had no new onset diabetes and no dyspepsia. Conclusion:Robot-assisted surgical system can be used for local resection of uncinate process tumors of pancreas,and the quality of life of patients can be improved.

Objective:To explore the diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers by comparing the differences of whole blood cell parameters between occupational radiation injury population and occupational health examination population.Methods:In February 2023, 184 radiation workers who received occupational health examinations in our hospital and occurrenced chromosome aberration from July 2021 to July 2022 were retrospectively selected as the radiation injury group. And other 184 radiation workers encountered in the same period without chromosome aberration occurrence were selected as the control group. Collected whole blood cell parameters from two groups of research subjects, conducted comparative analysis, constructed a logistic regression model, and evaluated the diagnostic value of the logistic regression model for radiation injury on radiation workers by receiver operating characteristic curve (ROC) and area under curve (AUC) . In addition, with the same standard, 60 radiation workers with chromosome aberration and 60 radiation workers without chromosome aberration from August 2022 to January 2023 were included in the validation queue to validate the logistic regression model.Results:Neu_X, Neu_Y, Neu_Z, Lym_X, Lym_Y, Lym_Z, Mon_X, Mon_Y, Mon_Z, Micro, MCHC in the radiation injury group were significantly higher than those in the control group, and the difference was statistically significant ( P<0.05) . And MCV and Macro in the radiation injury group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . Moreover, logistic regression analysis showed that Lym_X, Lym_Y, Lym_Z, MCHC, Micro were all independent risk factors for diagnosing radiation injury on radiation workers ( OR=1.08、1.02、0.99、1.06、51.32, P<0.05) . ROC curve analysis showed that the AUC, sensitivity, specificity, and accuracy of the logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro in diagnosing radiation injury on radiation workers were 0.80, 85.9%, 65.8% and 75.9% respectively. The validation queue verified the logistic regression model and the AUC, sensitivity, specificity, and accuracy of the logistic regression model were 0.80, 81.7%, 71.7% and 76.7% respectively, the model fitted well. Conclusion:Radiation damage can cause changes in multiple whole blood cell parameters of radiation workers. The logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro showed good diagnosis ability and can be used for the screening of radiation injury on radiation workers.

In recent years, great progress has been made in the diagnosis and treatment of pancreatic tumors. In terms of diagnosis, three-dimensional CT reconstruction, PET-CT scan, endoscopic ultrasound with needle biopsy are used to evaluate the benign or malignant stage and biological characteristics of the tumor, to make treatment decisions more scientific and reasonable. In terms of treatment, new technologies, such as arterial priority arterial sheath dissection and radical resection of the retroperitoneal lipo-lymphatic layer, have continuously emerged to improve radical curability of tumors. For benign or low-grade malignant pancreatic tumors, function-preserving surgery is adopted to avoid long-term complications. Minimally invasive pancreatic surgery has advanced in leaps and bounds. Both standard radical surgery and function-preserve surgery can be performed under a laparoscope or robot. Non-surgical treatment has developed quickly with each passing day; for locally advanced or metastatic pancreatic cancer, neoadjuvant therapy is expected to be down-staged or transformed into surgery. These advances in diagnosis and treatment technology have led to multidisciplinary teamwork. Based on accurate assessment, giving full play to the advantages of laparoscopic and robotic systems in diagnosis and treatment, attaching importance to comprehensive nonsurgical treatment and doctor-patient communication with care throughout the process, these are keys to improve the clinical efficacy of pancreatic tumors in the era of minimally invasive surgery.