Objective To analyze the urban drinking water quality and its influencing factors in Anhui Province from 2014 to 2022, and to provide a scientific basis for water quality improvement and protection. Methods The data were collected, saved and monitored according to the Standard Test Method for Drinking Water (GB/T5750-2006) and evaluated according to the Hygienic Standard for Drinking Water (GB 5749-2006). Results A total of 20 941 samples were collected, and the overall qualified rate was 84.26%. The qualified rate of urban drinking water increased from 76.9% in 2014 to 93.3% in 2022, and the qualified rate of water quality was on the rise (χ²=544.43, P＜0.01). From 2014 to 2022, the qualified rate of water quality in dry season was higher than that in wet season (χ²=35.98, P<0.001), the qualified rate of surface water was higher than that of ground water (χ²=4440.8, P<0.001), and the qualified rate of peripheral tap water was higher than that of factory water (χ²=145.1, P<0.001). Among all kinds of disinfection methods, chlorination disinfection had the highest qualified rate (χ²=1483.8, P<0.001). The qualified rate of water quality increased with the increase of the scale of water plant. Among the inspected indicators, the main unqualified indicators were chlorine dioxide (7.72%), fluoride (7.41%), free residual chlorine (3.90%), and total bacterial count (2.13%). Conclusion The passing rate of urban drinking water quality in Anhui Province is on an upward trend, and the quality of urban drinking water has improved. However, it is still important to pay attention to the problem of excessive microorganism and fluoride in water, and the quality of drinking water varies from place to place.

Objective: To investigate the safety and feasibility of transurethral blue laser vaporization of the prostate (BVP) under intravenous anesthesia without intubation. Methods: Clinical data of 30 benign prostatic hyperplasia (BPH) (prostate volume <40 mL) patients undergoing BVP under intravenous anesthesia without intubation in our hospital during Jul.and Nov.2024 were retrospectively analyzed.Preoperative and 1-month postoperative international prostate symptom score (IPSS), quality of life score (QoL), maximum urinary flow rate (Qmax), and postvoid residual volume (PVR) were compared.The operation time, cumulative blue laser activation time, recovery time, postoperative bladder irrigation time, postoperative catheter indwelling time, postoperative 2-hour visual analog scale (VAS) score and incidence of surgical and anesthetic complications were recorded. Results: All 30 patients successfully completed BVP under intravenous anesthesia without intubation.The operation time was (12.5±5.0) min, cumulative laser activation time (9.8±4.1) min, recovery time (6.8±1.2) min, postoperative bladder irrigation time (11.0±4.6) h, postoperative catheter indwelling time (2.7±1.1) days and postoperative 2-hour VAS score was (3.0±1.3).No cases required conversion to intubated general anesthesia, and no severe perioperative surgical or anesthetic complications occurred.Significant improvements in IPSS, QoL, Qmax, and PVR were observed 1 month postoperatively (P＜0.001). Conclusion: BVP under intravenous anesthesia without intubation in the treatment of prostate volume <40 mL BPH is clinically feasible, significantly improving lower urinary tract symptoms without significant surgical or anesthetic complications.

Objective : To explore the risk factors of biliary stricture after liver transplantation and to construct a nomogram prediction model. Methods : The clinical data of 208 liver transplant recipients in hospital were retrospectively analyzed, including 54 cases in the biliary stricture group and 154 cases in the non-biliary stricture group. Multivariate Logistic regression analysis was used to screen out independent predictors, fit the prediction model and construct a visual nomogram to evaluate the prediction model. Survival curves were drawn and multivariate Cox regression analysis was performed. Results : Autoimmune liver diseases(OR=6.610,95%CI: 1.410-30.99), alanine aminotransferase(ALT)(OR=1.007,95%CI: 1.003-1.011), warm ischemia time(OR=1.972,95%CI: 1.399-2.780), cold ischemia time(OR=1.016,95%CI: 1.010-1.022), cytomegalovirus infection(OR=6.037,95%CI: 1.480-24.63) and hepatic vascular stenosis(OR=7.784,95%CI: 2.312-26.20) were independent predictors of biliary stricture after liver transplantation. The area under the curve(AUC) of the nomogram prediction model was 0.921, the cut-off value was 0.238, the sensitivity was 0.889, and the specificity was 0.838. The model showed good discrimination. The Brier score was 0.092, Hosmer-Lemeshow goodness-of-fit testP=0.253, Calibration curve(B=1 000) was in good agreement, and the model showed good calibration. Decision curve analysis(DCA) showed that the application of the model could benefit liver transplant recipients. The postoperative follow-up time was 27-60 months. The cumulative survival rate of the non-biliary stricture group was better than that of the biliary stricture group(P=0.019), but multivariate Cox regression analysis showed that biliary stricture(HR=1.194, 95%CI: 0.624-2.285) was not an independent risk factor for survival after liver transplantation. Conclusion The nomogram model based on autoimmune liver diseases, ALT, warm ischemia time, cold ischemia time, cytomegalovirus infection and hepatic vascular stenosis performs well and can be used to predict the occurrence of biliary stricture after liver transplantation.

Objective:To evaluate the effect of virtual reality arthroscopic simulation system combined with case-based learning (CBL) in orthopedic clinical teaching.Methods:From January 2021 to June 2022, a total of 36 residents who took the standardized residency training at Department of Articular Orthopedics in The Third Affiliated Hospital of Soochow University were enrolled in this study. They were randomized into an experimental group and a control group, with 18 trainees in each group. The experimental group adopted the virtual reality arthroscopic simulation system combined with CBL teaching mode, while the control group adopted simple endoscopic simulation training box with traditional teaching mode. Theoretical and practical tests and questionnaire survey were carried out to evaluate the teaching effects in two groups. SPSS 22.0 was performed to conduct t-test on the measurement data between the two groups. Results:The theoretical and practical test scores of the experimental group [(89.39±3.09) and (82.72±4.28)] were better than those of the control group [(86.22±4.43) and (76.61±5.65)], with statistically significant differences ( t= 2.49, P=0.018; t=3.66, P=0.001). The questionnaire survey showed that the experimental group was better than the control group in creating novel forms of courses [(4.94±0.24) vs. (4.11±0.58), t=5.62, P<0.001], simulating more real scenes [(4.83±0.38) vs. (3.78±0.43), t=7.80, P<0.001], inspiring learning interests [(4.78±0.43) vs. (4.00±0.59), t=4.51, P<0.001], improving practical skills [(4.83±0.38) vs. (3.83±0.51), t=6.61, P<0.001], and building career confidence [(4.50±0.62) vs. (3.06±0.54), t=7.47, P<0.001], with statistically significant differences (all P<0.001). Conclusions:The virtual reality arthroscopic simulation system combined with CBL teaching mode can better simulate the real clinical scenes, help inspire the interest of learning and quickly improve practical skills, thereby improving the effect of orthopedic clinical teaching.

Objective:To predict the status of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICC) patients preoperatively based on the radiomics analysis of contrast-enhanced CT to provide imaging evidence for early identification of patients at high risk of recurrence.Methods:Clinical data of 40 ICC patients who underwent radical hepatectomy at Nanjing Drum Tower Hospital from January 2021 to May 2024 were retrospectively collected. Patients were divided into the MVI group ( n=8) and the non-MVI group ( n=32) according to the MVI status of the postoperative pathology report. Whether there were differences in each pathological index between the groups and the efficacy of radiomics analysis of contrast-enhanced CT for the preoperative prediction of MVI were analyzed. The regions of interest (ROI) were outlined on the arterial and venous phase images using the 3D Slicer software. Then, radiomics features were extracted from each ROI based on Python. Finally, the LASSO regression and glm function were used to screen radiomics features and establish a prediction model based on the R language. The established predictive model′s diagnostic efficacy, calibration, and net clinical benefit were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA), respectively. Normally distributed measurement data were expressed as mean±standard deviation ( ± s) and compared using the t-test. Count data were expressed as frequency and compared using the chi-square test. Results:Patients in the MVI group had more poorly differentiated tumors and a significantly higher proportion of lymph node metastases ( P<0.05). The established radiomics prediction model included six features, 1 first-order statistical feature and 5 gray texture features. The area under the ROC curve was 0.87, the sensitivity was 75.0%, and the specificity was 90.6%. The calibration curve showed good agreement between the predicted MVI and actual MVI status, and the decision curve demonstrated that the model could provide a large net clinical benefit. Conclusion:Radiomics analysis of contrast-enhanced CT can identify the MVI status of ICC patients preoperatively and aid in clinical decision-making, providing vital evidence for individualized and precise treatment of ICC.

The contents recorded in the rotation registration manual is not only the quantitative indicators for evaluating the quality of residency training, but also the important basis for training assessment and issuance of training certificates. In order to solve the problems of data authenticity, information delay, and repeated entry in the rotation registration manual for residency training, Shanghai East Hospital, Tongji University, launched a project to dock the electronic rotation registration manual with the hospital information system. Through the establishment of the project team, the development of working mechanisms, and the implementation of the project, data analysis was used for process reformation and system optimization, so as to continuously improve management efficiency and medical safety while solving problems and form a set of implementation system with reference significance in practice.

Objective:To evaluate the effect of ultrasound-guided adductor canal combined with knee joint posterior capsule space block on the recovery period delirium in elderly patients undergoing total knee arthroplasty (TKA).Methods:A total of 68 elderly patients who underwent unilateral TKA at the Nanjing First Hospital from December 2021 to December 2022 were selected. They were randomly divided into a control group ( n=34) and an observation group ( n=34) using a random number table method. Both groups received general anesthesia, and the observation group received ultrasound-guided myofascial tube combined with knee joint posterior capsule space block before the surgery began. The incidence of delirium within 24 hours after surgery was mainly observed in two groups of patients. The surgical time, recovery time, intraoperative blood loss, infusion volume, total use of propofol and remifentanil were recorded; The resting and motor Visual Analogue Scale (VAS) scores of the patient were recorded at 4, 8, and 24 hours postoperatively. The patient′s serum tumor necrosis factor-α (TNF-α) and melatonin levels were measured on the day before surgery, the evening after surgery, and the first day after surgery. The subjective sleep quality score was recorded on the first day after surgery; The total dosage of sufentanil for patient-controlled intravenous analgesia (PCIA) within 24 hours after surgery, the effective number of compressions (P1) and actual number of compressions (P2) of PCIA, and the number of cases of additional oxycodone analgesia were recorded; The occurrence of respiratory depression, excessive sedation, nausea, and vomiting within 24 hours after surgery was recorded; The occurrence of complications of nerve block in the observation group was recorded. Results:The incidence of delirium during the recovery period in the observation group was lower than that in the control group ( P<0.05). The dosage of propofol and remifentanil in the observation group was lower than that in the control group (all P<0.05), and the awakening time was shorter than that in the control group ( P<0.05). The VAS scores at rest and exercise at 4, 8, and 24 hours after surgery in the observation group were lower than those in the control group (all P<0.05). Compared with the day before surgery, the observation group showed an increase in melatonin levels on the night after surgery ( P<0.05) and an increase in TNF-α levels on the first day after surgery ( P<0.05); The control group had a decrease in melatonin levels on the first day after surgery ( P<0.05), and an increase in TNF-α levels on the night and day after surgery (all P<0.05). The serum melatonin levels in the observation group were higher than those in the control group on the evening and first day after surgery (all P<0.05), and TNF-α levels were lower than those in the control group (all P<0.05). The subjective sleep quality score of the observation group showed that the total dosage of PCIA sufentanil, P1, P2, and the number of cases of additional oxycodone analgesia within 24 hours after surgery were lower than those of the control group (all P<0.05). The incidence of nausea in the control group (13 cases, 38.2%) was higher than that in the observation group (3 cases, 8.8%) ( P<0.05). Conclusions:In elderly patients undergoing unilateral TKA under general anesthesia, preoperative use of ultrasound-guided adductor tube combined with knee joint posterior capsule space block can effectively reduce the occurrence of postoperative delirium.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

Objective To analyze the fairness of human resource allocation in professional public health agency (PHA) in Guangdong Province in 2022. Methods Health technical staff, other technical staff, and management staff from PHAs in Guangdong Province, such as disease prevention and control centers, specialized disease prevention and treatment institutions, maternal and child health institutions, health education centers, emergency centers/stations, blood collection and supply institutions, health supervision agencies, and family planning service centers under health departments, were selected as the study subjects. Data on human resource allocation in PHAs were collected, and the Lorenz curve, Gini coefficient, and Theil index were used to analyze the fairness of personnel allocation based on three dimensions: year-end resident population, geographical area, and regional gross domestic product. Results The number of PHA personnel per 10 000 population in four regions of the Pearl River Delta, eastern, western and mountain area in Guangdong Province was (7.49±3.74), (4.74±0.87), (8.73±1.67) and (10.33±1.80), respectively. There was no correlation between the per capita regional gross dumestic product of each prefecture level city and the number of PHA personnel (Spearman′s rank correlation coefficient=0.43, P>0.05). PHA resource allocation based on year-end resident population was more equitable than allocations based on geographical area or regional gross dumestic product, as indicated by the Lorenz curve being closest to the 45° standard line and the lowest Gini coefficient. The fairness of personnel allocation from high to low was ranked as follows: practicing (assistant) physicians, health technicians, registered nurses, managers personnel, and other technical personnel, with Theil indices of 0.035 0, 0.036 4, 0.044 6, 0.048 4, and 0.053 5, respectively. The differences in configuration fairness were derived from within group differences, with contribution rates of 76.0%, 73.9%, 71.8%, 82.9%, and 92.2%. The Lorenz curve, Gini coefficient, and Theil index were consistent in the distribution of permanent residents at the end of the year. Conclusion The fairness of professional human resource allocation in Guangdong Province based on the distribution of permanent residents at the end of the year is better than that based on geographical area and regional gross domestic product. The fairness of the allocation of practicing (assistant) physicians is better than that of other professional categories. Regional differences are the main reason for the relatively unfair allocation of PHA human resources in Guangdong Province.

Objective:To investigate the diagnostic value of machine learning model based on 18F-FDG PET/CT for polymyalgia rheumatica (PMR). Methods:From November 2014 to December 2022, 177 patients (119 males, 58 females; age: 67.0 ( 61.0, 72.0) years) admitted to the Department of Rheumatology and Immunology, the First People′s Hospital of Changzhou, with suspected PMR and undergoing 18F-FDG PET/CT examination were retrospectively analyzed. Patients were randomly divided into training set and validation set at the ratio of 7∶3. Three machine learning models, including classification and regression tree (CART), the least absolute shrinkage and selection operator (LASSO) algorithm, and logistic regression, were established based on the PET/CT imaging features to aid in the diagnosis of PMR. The diagnostic efficacy of each model was evaluated by ROC curve analysis and differences among AUCs were analyzed by Delong test. Results:There were 78(44.1%, 78/177) PMR patients and 99(55.9%, 99/177) non-PMR patients, and 124 patients in the training set and 53 patients in the validation set. The logistic regression model (training set: AUC=0.961; validation set: AUC=0.930) was superior to the CART (training set: AUC=0.902, z=2.96, P=0.003; validation set: AUC=0.844, z=2.46, P=0.014) in diagnosing PMR, and was similar to LASSO algorithm (training set: AUC=0.957, z=0.95, P=0.340; validation set: AUC=0.930, z=0.00, P=1.000), but with fewer sites evaluated. The simplified PMR-Logit score had the AUC of 0.951 in the overall population, with the sensitivity of 89.74%(70/78) and the specificity of 90.91%(90/99). Conclusion:Machine learning models based on 18F-FDG PET/CT imaging features are expected to be an effective diagnostic tool for PMR.