Objective To investigate the regulatory mechanism of the central nervous system in patients with refractory overactive bladder (rOAB) using diffusion tensor imaging (DTI) and graph theory analysis. Methods A total of 43 rOAB patients (rOAB group) and 46 matched healthy controls (HC group) were recruited during May and Nov.2024. All participants were scanned with DTI, and surveyed with the overactive bladder symptom score (OABSS), and overactive bladder questionnaire (OAB-q). Their age, gender, height, weight, and educational years were collected.DTI plus graph theory analysis was employed to explore the alterations in global and local topological properties of the brain structural network in rOAB patients. Brain regions showing significant group differences in structural metrics [specifically, the right paracentral lobule (PCL.R) ]were further used as seed points for functional connectivity (FC) analysis. Correlations between the nodal clustering coefficient (NCp) of the identified region, FC strength, OABSS, and OAB-q score were investigated. Results The OABSS [8 (6,10) vs.0 (0,1) ]and OAB-q [71 (53,80) vs.20 (19,24) ]were higher in the rOAB group than the HC group (P<0.001). Graph theory analysis revealed no statistically significant differences in global network metrics between the two groups (P>0.05). However, the NCp was significantly higher in the PCL.R of rOAB group compared to HC group (P<0.05, FDR-corrected).FC analysis using the PCL.R as a seed region demonstrated significantly reduced FC value in the left cerebellar crus Ⅱ (Cerebelum_Crus2_L) of the rOAB group (P<0.05, FDR-corrected). Partial correlation analysis showed that the NCp of PCL.R was positively correlated with both OABSS (r=0.255, P=0.018) and OAB-q score (r=0.257, P=0.017). Conversely, the FC of Cerebelum_Crus2_L was significantly negatively correlated with OABSS (r=-0.545, P<0.001) and OAB-q score (r=-0.535, P<0.001). Conclusion Patients with rOAB exhibit distinct brain structural network alterations compared to healthy individuals, primarily manifestation in the NCp value of PCL.R increased, and the FC intensity of Cerebelum_Crus2_L is significantly weakened. These alterations in the topological properties of the structural network may be implicated in the pathogenesis of rOAB.

Objective:To investigate the impact of delayed ileostomy closure (>6 months) on postoperative complications in patients with ulcerative colitis (UC) undergoing ileal pouch-anal anastomosis (IPAA) .Methods:Using propensity score matching. Clinical data of UC patients who underwent IPAA and subsequent ileostomy closure at Jinling Hospital from January 2014 to December 2021 were retrospectively analyzed. Patients were categorized into a routine group (2 to ≤6 months) and a delayed group (>6 months) based on the timing of ileostomy closure. A 1∶1 propensity score matching analysis was performed to compare early (≤30 days) and late (>30 days) postoperative complications between the two groups.Results:A total of 225 UC patients who underwent IPAA and ileostomy closure were included, comprising 129 males (57.3%) and 96 females (42.7%). After propensity score matching, 88 patients were included in the analysis, with 44 patients in each group. There was no significant difference in the overall incidence of early postoperative complications (11.4% vs. 15.9%, P = 0.534) or late postoperative complications (43.2% vs. 43.2%, P = 1.000) between the delayed and routine groups. Additionally, no significant differences were observed in other postoperative complications (all P > 0.05) . Conclusion:Delayed ileostomy closure following IPAA does not significantly increase the risk of postoperative complications in UC patients.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Objective To explore the mechanism of Tongluo Baoshen Decoction in improving podocyte injury in rats with IgA nephropathy based on Gprc5b/NF-κB/NLRP3 pathway.Methods Totally 130 SPF-grade male SD rats were randomly divided into a normal group(n=20)and a modeling group(n=110).The IgA nephropathy model was established using a compound modeling method,and 100 modeling rats were randomly divided into model group,losartan potassium group(5 mg/kg),and Tongluo Baoshen Decoction low-,medium-,and high-dosage groups(5.3,10.6,21.2 g/kg),with 20 rats in each group.The administration group was given the corresponding dosage of medication by gavage,while the normal group and model group were given an equal amount of distilled water by gavage once a day.After 4 and 8 weeks of administration,urine samples were collected for 24 hours,and blood and kidney tissue specimens were collected.24-hour urinary protein quantification(24 h-UTP),urinary Nephrin,serum creatinine(SCr),blood urea nitrogen(BUN)and blood uric acid(BUA)contents were detected;RT-qPCR and Western blot were used to detect the expressions of G protein coupled receptor C-family 5b(Gprc5b),nuclear factor(NF)-κB p50,NOD like receptor protein 3(NLRP3),Caspase-1,interleukin(IL)-1β,Nephrin mRNA and protein in renal tissue,respectively;HE,PAS,PASM,Masson staining were used to observe the morphology of renal tissue,immunofluorescence was used to observe IgA deposition in the mesangial area of renal tissue,and transmission electron microscopy was used to observe the ultrastructure of podocytes.Results Compared with the normal group,the model group rats showed significantly increased contents of 24 h-UTP,urinary Nephrin and BUA(P<0.01),the mRNA and protein expressions of Gprc5b,NF-κB p50,NLRP3,Caspase-1 and IL-1β in renal tissue were significantly increased(P<0.01),while the mRNA and protein expressions of Nephrin were significantly decreased(P<0.01),with mild to moderate proliferation of mesangial cells in the glomerulus,increased mesangial matrix,and immunofluorescence showed clustered and linear deposition of IgA in the mesangial area,electron microscopy showed partial fusion of the foot processes.Compared with the model group,the 24 h-UTP and urinary Nephrin contents in different dosage groups of Tongluo Baoshen Decoction and the losartan potassium group after 4 and 8 weeks administration significantly decreased(P<0.01),with a decrease in BUA content in Tongluo Baoshen Decoction high-dosage group(P<0.05),the mRNA and protein expressions of Gprc5b,NF-κB p50,NLRP3,Caspase-1 and IL-1β in renal tissue of Tongluo Baoshen Decoction groups and losartan potassium group decreased(P<0.05,P<0.01),while the mRNA and protein expressions of Nephrin increased(P<0.05,P<0.01),with the proliferation of mesangial cells,the increase of mesangial matrix,the deposition of IgA in the mesangial area,and the fusion of foot processes in renal tissue were alleviated to varying degrees in different dosage groups of Tongluo Baoshen Decoction,with the most significant improvement observed in the high-dosage group.Compared with the 4-week administration,Tongluo Baoshen Decoction high-dose group showed further reductions in 24 h-UTP and urinary Nephrin contents after 8 weeks of administration(P<0.01),further decreases in the mRNA and protein expressions of Gprc5b,NF-κB p50,NLRP3,Caspase-1 and IL-1β in renal tissue(P<0.05,P<0.01),and further increases in the mRNA and protein expressions of Nephrin(P<0.01).Conclusion Tongluo Baoshen Decoction can reduce proteinuria,alleviate renal tissue lesions and improve podocyte injury in IgA nephropathy rats,and its mechanism may be related to the inhibition of Gprc5b/NF-κB/NLRP3 pathway in renal tissue.

Medical fiber endoscope is one kind of medical device that utilizes fiber technique to realize visual detection for internal organs or cavities.In clinical applications,medical fiber endoscope not only need to complete fiber optic imaging but also need possess the functions of delivering water and air,and operating device.Therefore,its routine management and maintenance for fault is more and more payed attention by the staffs of using medical fiber endoscope in department.The system of delivering water and air is a key structure for some of medical fiber endoscopes,which has higher maintenance matters and frequency of maintaining fault.Based on the above reasons,this research analyzed the working principle of medical fiber endoscopes,and summarized the ideas and methods of repairing common faults through focused on the structural composition of delivering system of water and air of medical fiber endoscopes,so as to improve the management level for this type of medical device.

Objective:To investigate the impact of delayed ileostomy closure (>6 months) on postoperative complications in patients with ulcerative colitis (UC) undergoing ileal pouch-anal anastomosis (IPAA) .Methods:Using propensity score matching. Clinical data of UC patients who underwent IPAA and subsequent ileostomy closure at Jinling Hospital from January 2014 to December 2021 were retrospectively analyzed. Patients were categorized into a routine group (2 to ≤6 months) and a delayed group (>6 months) based on the timing of ileostomy closure. A 1∶1 propensity score matching analysis was performed to compare early (≤30 days) and late (>30 days) postoperative complications between the two groups.Results:A total of 225 UC patients who underwent IPAA and ileostomy closure were included, comprising 129 males (57.3%) and 96 females (42.7%). After propensity score matching, 88 patients were included in the analysis, with 44 patients in each group. There was no significant difference in the overall incidence of early postoperative complications (11.4% vs. 15.9%, P = 0.534) or late postoperative complications (43.2% vs. 43.2%, P = 1.000) between the delayed and routine groups. Additionally, no significant differences were observed in other postoperative complications (all P > 0.05) . Conclusion:Delayed ileostomy closure following IPAA does not significantly increase the risk of postoperative complications in UC patients.

Objective To explore the mechanism of Tongluo Baoshen Decoction in improving podocyte injury in rats with IgA nephropathy based on Gprc5b/NF-κB/NLRP3 pathway.Methods Totally 130 SPF-grade male SD rats were randomly divided into a normal group(n=20)and a modeling group(n=110).The IgA nephropathy model was established using a compound modeling method,and 100 modeling rats were randomly divided into model group,losartan potassium group(5 mg/kg),and Tongluo Baoshen Decoction low-,medium-,and high-dosage groups(5.3,10.6,21.2 g/kg),with 20 rats in each group.The administration group was given the corresponding dosage of medication by gavage,while the normal group and model group were given an equal amount of distilled water by gavage once a day.After 4 and 8 weeks of administration,urine samples were collected for 24 hours,and blood and kidney tissue specimens were collected.24-hour urinary protein quantification(24 h-UTP),urinary Nephrin,serum creatinine(SCr),blood urea nitrogen(BUN)and blood uric acid(BUA)contents were detected;RT-qPCR and Western blot were used to detect the expressions of G protein coupled receptor C-family 5b(Gprc5b),nuclear factor(NF)-κB p50,NOD like receptor protein 3(NLRP3),Caspase-1,interleukin(IL)-1β,Nephrin mRNA and protein in renal tissue,respectively;HE,PAS,PASM,Masson staining were used to observe the morphology of renal tissue,immunofluorescence was used to observe IgA deposition in the mesangial area of renal tissue,and transmission electron microscopy was used to observe the ultrastructure of podocytes.Results Compared with the normal group,the model group rats showed significantly increased contents of 24 h-UTP,urinary Nephrin and BUA(P<0.01),the mRNA and protein expressions of Gprc5b,NF-κB p50,NLRP3,Caspase-1 and IL-1β in renal tissue were significantly increased(P<0.01),while the mRNA and protein expressions of Nephrin were significantly decreased(P<0.01),with mild to moderate proliferation of mesangial cells in the glomerulus,increased mesangial matrix,and immunofluorescence showed clustered and linear deposition of IgA in the mesangial area,electron microscopy showed partial fusion of the foot processes.Compared with the model group,the 24 h-UTP and urinary Nephrin contents in different dosage groups of Tongluo Baoshen Decoction and the losartan potassium group after 4 and 8 weeks administration significantly decreased(P<0.01),with a decrease in BUA content in Tongluo Baoshen Decoction high-dosage group(P<0.05),the mRNA and protein expressions of Gprc5b,NF-κB p50,NLRP3,Caspase-1 and IL-1β in renal tissue of Tongluo Baoshen Decoction groups and losartan potassium group decreased(P<0.05,P<0.01),while the mRNA and protein expressions of Nephrin increased(P<0.05,P<0.01),with the proliferation of mesangial cells,the increase of mesangial matrix,the deposition of IgA in the mesangial area,and the fusion of foot processes in renal tissue were alleviated to varying degrees in different dosage groups of Tongluo Baoshen Decoction,with the most significant improvement observed in the high-dosage group.Compared with the 4-week administration,Tongluo Baoshen Decoction high-dose group showed further reductions in 24 h-UTP and urinary Nephrin contents after 8 weeks of administration(P<0.01),further decreases in the mRNA and protein expressions of Gprc5b,NF-κB p50,NLRP3,Caspase-1 and IL-1β in renal tissue(P<0.05,P<0.01),and further increases in the mRNA and protein expressions of Nephrin(P<0.01).Conclusion Tongluo Baoshen Decoction can reduce proteinuria,alleviate renal tissue lesions and improve podocyte injury in IgA nephropathy rats,and its mechanism may be related to the inhibition of Gprc5b/NF-κB/NLRP3 pathway in renal tissue.

Medical fiber endoscope is one kind of medical device that utilizes fiber technique to realize visual detection for internal organs or cavities.In clinical applications,medical fiber endoscope not only need to complete fiber optic imaging but also need possess the functions of delivering water and air,and operating device.Therefore,its routine management and maintenance for fault is more and more payed attention by the staffs of using medical fiber endoscope in department.The system of delivering water and air is a key structure for some of medical fiber endoscopes,which has higher maintenance matters and frequency of maintaining fault.Based on the above reasons,this research analyzed the working principle of medical fiber endoscopes,and summarized the ideas and methods of repairing common faults through focused on the structural composition of delivering system of water and air of medical fiber endoscopes,so as to improve the management level for this type of medical device.

Objective To construct a visual intelligent recognition model for Oncomelania hupensis robertsoni in Yunnan Province based on the EfficientNet-B4 model, and to evaluate the impact of data augmentation methods and model hyperparameters on the recognition of O. hupensis robertsoni. Methods A total of 400 O. hupensis robertsoni and 400 Tricula snails were collected from Yongsheng County, Yunnan Province in June 2024, and snail images were captured following identification and classification of 300 O. hupensis robertsoni and 300 Tricula snails. A total of 925 O. hupensis robertsoni images and 1 062 Tricula snail images were collected as a dataset and divided into a training set and a validation set at a ratio of 8:2, while 352 images captured from the remaining 100 O. hupensis robertsoni and 354 images from the remaining 100 Tricula snails served as an external test set. All acquired images were subjected to preprocessing, including cropping and resizing. Three data augmentation approaches were employed, including baseline, Mixup and Gaussian blurring, and model hyperparameters included two optimization algorithms of adaptive moment estimation (Adam) and stochastic gradient descent (SGD), two loss functions of focal loss and cross entropy loss, and two learning rate decay strategies of cosine annealing and multi-step. The intelligent recognition models of O. hupensis robertsoni and Tricula snails were constructed based on the EfficientNet-B4 model, and 7 training strategy groups were generated by combinations of different data augmentation approaches and hyperparameters. The performance of intelligent recognition models was tested with external test sets, and evaluated with accuracy, precision, recall, F1 score, loss, Youden’s index, and the area under the receiver operating characteristic curve (AUC) under different training strategies. Results The variation of loss values was comparable among intelligent recognition models with different data augmentation approaches. The Group 4 model constructed with Mixup and Gaussian blurring data augmentation approaches showed the optimal performance, with an accuracy of 90.38%, precision of 90.07%, F1 score of 89.44%, Youden’s index of 0.81 and AUC of 0.961 in the external test set. The accuracy of models using the SGD optimizer reduced by 29.16% as compared to those using the Adam optimizer (χ² = 81.325, P < 0.001), and the accuracy of models using the cross entropy loss function reduced by 0.80% as compared to the Group 4 model (χ² = 3.147, P > 0.05), while the accuracy of models using the multi-step learning rate decay strategy increased by 0.65% as compared to the Group 4 model (χ² = 0.208, P > 0.05). In addition, the model with the baseline + Mixup + Gaussianblurring data augmentation approach and hyperparameters of Adam optimizer, focal loss function and multi-step learning rate decay strategy showed the highest performance, with an accuracy of 91.03%, precision of 91.97%, recall of 88.11%, F1 score of 90.00%, Youden’s index of 0.82 and AUC values of 0.969 in external test set, respectively. Conclusions The intelligent recognition model of O. hupensis robertsoni based on EfficientNet-B4 model is accurate for identification of O. hupensis robertsoni and Tricula snails in Yunnan Province.

Purpose/Significance The paper discusses the application of artificial intelligence technology to the key entity recognition ofunstructured text data in the electronic medical records of lymphedema patients.Method/Process It expounds the solution of model fine-tuning training under the background of sample scarcity,a total of 594 patients admitted to the department of lymphatic surgery of Beijing Shijitan Hospital,Capital Medical University are selected as the research objects.The prediction layer of the GlobalPointer model is fine-tuned according to 15 key entity categories labeled by clinicians,nested and non-nested key entities are identified with its glob-al pointer.The accuracy of the experimental results and the feasibility of clinical application are analyzed.Result/Conclusion After fine-tuning,the average accuracy rate,recall rate and Macro_F1 ofthe model are 0.795,0.641 and 0.697,respectively,which lay a foundation for accurate mining of lymphedema EMR data.