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.

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.

Objectives:To investigate clinical characteristics, outcomes and antimicrobial resistance of community-acquired Pseudomonas aeruginosa (CAPA) infections in Chinese pediatric patients. Methods:This retrospective study was conducted at 6 tertiary hospitals in China during January 2016 to December 2018. The clinical and microbiological data of CAPA infected hospitalized children in Hainan and in other regions were collected and compared, and the antimicrobial resistance patterns, clinical characteristics and antibiotic therapy were analyzed. Between different groups were compared using the Chi-square test and Mann-Whitney U test. Results:Among 91 patients, 63 cases were males, 28 cases were females, and 74 cases were from Hainan province, 17 cases were from other regians. The age of consultation was 22.5 (5.4, 44.0) months. Twenty-four cases (26%) had underlying diseases. Fever (79 cases (87%)) and cough (64 cases (70%)) were common initial symptoms. Other concomitant symptoms included wheezing 8 cases (9%), diarrhea 3 cases (3%) and vomiting 4 cases (4%). Twenty-eight cases (31%) had organ infections, including pneumonia 22 cases (24%), skin infection 5 cases (5%), meningitis, intra-abdominal infection and upper urinary tract infection each 1 case (1%). The resistance rate of CAPA isolates to cefepime (4% (4/90)), amikacin (1% (1/90)), ciprofloxacin (2% (2/90)) and levofloxacin (1% (1/89)) was low, and to ceftazidime, piperacillin, piperacillin-azobactam, carbapenem was 12% (11/90), 3/16, 18% (10/56) and 6% (5/90), respectively. Antimicrobial combination therapy accounted for 52% (47/91) of empirical therapy and 59% (52/88) of definite therapy. Two cases (2%) were hopeless discharged, and 3 cases (3%) died during hospitalization. The worse prognosis of CAPA infection is significantly different among children in other regions and in Hainan (4/17 vs. 1% (1/74), χ2=9.74, P<0.05). Conclusions:The invasive CAPA-infection has regional difference in incidence and prognosis in China. Clinical symptoms and signs are non-specific. CAPA strains isolated from pediatric patients display low level of resistance to most of the common antipseudomonal antibiotics. The proportion of poor prognostic outcome is lower in Hainan than in other regions.

Objective:To investigate the efficacy and safety of tocilizumab in the treatment of critically ill children with acute necrotizing encephalopathy (ANE).Methods:It is a retrospective cohort study. The children with ANE admitted to the pediatric intensive care unit of 4 Chinese tertiary hospitals from December 2022 to November 2023 were divided into conventional treatment group and tocilizumab group, and the comparison between groups was performed by using Mann ‐ Whitney U test or Chi-square test. Results:Among 21 cases of severe ANE, there were 11 males with the onset age of 65 (27, 113) months. The duration from onset to PICU admission was 2 (1, 2) days. There were 13 cases of ultra-high fever (greater than 40 ℃), including 18 cases of convulsions, and 19 cases with a GCS score of less than 8 points. The causative agent was novel coronavirus Omicron in 7 cases and influenza A in 14 cases. All cases had central respiratory failure requiring mechanical ventilation. Of the 21 cases, 18 were shock, 15 were coagulopathy, 10 were kidney injury and 13 were liver dysfunction. Of these hospitalized patients, 8 children with ANE were treated with tocilizumab. Eight cases received continuous blood purification (CBP) treatment, 5 of them were combined with plasmapheresis. Serum cytokine levels were elevated in 21 children with ANE, including (interleukin, IL)-6 and IL-8 (61 (22, 1 513) and 68 (5, 296) ng/L). There were 14 cases (67%) deaths, including 11 cases in the conventional treatment group and 3 cases in the tocilizumab group. There was no significant difference in the mortality rate between the two groups ( P=0.056). Tocilizumab-related rash or other adverse events were not observed. Conclusions:The motality of critically ill ANE patients was high. The combination of Tocilizumab with conventional treatment did not reduce the motality of severe ANE patients, and no adverse reactions of tocilizumab were observed.

Objective:To assess the methodological and measurement quality of comprehensive assessment tools for evaluating senile dementia, in order to provide evidence-based guidance for clinical selection of the best assessment tool.Methods:Manually searched CNKI, Wanfang Database, VIP Database, SinoMed, PubMed, Embase, Web of Science, Cochrane Library, CINAHL, ProQuest, Ovid and Scopus databases to collect and evaluate comprehensive assessment tool measurements forsenile dementia. For research on academic attributes, the search time limit was from the establishment of the database to January 4th, 2024. Two researchers independently screened the literature and extracted information, used the COSMIN guidelines to evaluate the included assessment tools, and formed final recommendations.Results:A total of 14 articles were included, including 9 comprehensive assessment tools for the elderly with dementia. Among them, the Care Needs Assessment Scale for Alzheimer′s Disease Patients had moderate and above evidence proving that its content validity and internal consistency were "sufficient", so it was a category A strong recommendation. The remaining 8 evaluation tools were all category B recommendations.Conclusions:Among the existing comprehensive assessment tools for the elderly with dementia, the Care Needs Assessment Scale for Alzheimer′s Disease Patients has good reliability and validity. This scale has 4 dimensions and 16 items. However, there are uncertainties and unmentioned measurement properties of the scale in terms of cross-cultural validity/measurement equivalence, stability, measurement error, hypothesis testing, calibration validity, and responsiveness. More evidence is needed in the future to further comprehensively validate and improve it, providing a basis for selecting a more effective, comprehensive and high-quality comprehensive assessment tool for the elderly with dementia.

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.