Objective:To explore the technical focus of robotic-assisted laparoscopic surgery for the treatment of horseshoe kidney combined with renal tumor.Methods:The clinical data of a patient with horseshoe kidney combined with renal tumor treated by robot-assisted laparoscopic partial nephrectomy in the Second Hospital of Dalian Medical University in September 2021 were retrospectively analyzed. PubMed, CNKI, Wanfang and VIP databases were searched for all the literature on the use of robot-assisted laparoscopic nephrectomy or partial nephrectomy for the treatment of horseshoe kidney combined with renal tumor from the time of establishment to December 2022.Results:A total of 11 patients from 10 articles were retrieved and 12 patients were enrolled. Among the 12 patients, 4 cases used the retroperitoneal approach and 8 cases used the transperitoneal approach. Two cases were operated by traditional laparoscope, and the arteries were searched for and controlled before the robotic arm was placed to perform the partial nephrectomy and suture; and 10 cases were operated with the robotic-assisted laparoscopic approach throughout the whole procedure. Five cases of nephrectomy were performed on one side, and 7 cases were performed in the partial nephrectomy. Postoperative pathological diagnosis was clear cell carcinoma in 8 cases, chromophobe cell carcinoma in 1 case, eosinophilic cell carcinoma in 1 case, renal cell carcinoma in 1 case, and renal abscess in 1 case. The patient in the Second Hospital of Dalian Medical University was 38 years old female who was admitted to the hospital with a fever. After CT arteriography and three-dimensional reconstruction, robotic-assisted laparoscopic partial nephrectomy of right kidney and isthmus dissecting was performed. During the operation, tumor trophoblast vessels were ligated and dissected one by one by using single-use tissue closure clips, and the isthmus was dissected using endoscopic cutting anastomosis on the left side of the tumor, with the tumor edges sharply resected and completely dissected. The operation time was 240 min, without thermal ischemia time, and the bleeding volume was about 300 ml. The patient recovered well after the operation, and the postoperative pathological diagnosis was renal abscess.Conclusions:Robot-assisted laparoscopic treatment of horseshoe kidney combined with renal tumor is safe and effective, and has more advantages than traditional laparoscopic surgery. Preoperative CT arteriography or three-dimensional reconstruction examination should be applied to fully evaluate the variant vessels. The surgical access and plan should be decided according to the size and location of the tumor. The variant vessels should be properly handled during operation. The use of endoscopic cutting anastomosis to deal with the isthmus can be more conducive to the surgical operation.

Objective:To investigate the status of medical care seeking delay and diagnosis delay of pulmonary tuberculosis (PTB) patients in Tongzhou District and Changping District of Beijing, analyze the related factors and put forward suggestions for early detection and scientific management of PTB patients.Methods:A retrospective epidemiological survey was conducted to collect the incidence data of PTB registered in Tongzhou and Changping from January 1 to December 31, 2021 by using the Chinese Tuberculosis Information Management System, and telephone interview were used for information supplement. Multivariate logistic regression model and decision tree model were used to analyze the influencing factors of medical care seeking delay and diagnosis delay of PTB patients.Results:In 2021, the medical care seeking delay time M( Q1, Q3) in the PTB patients in Tongzhou and Changping was 11 (5, 26) days, with a delay rate of 41.71%. Results from multivariate logistic regression model analysis revealed that factors influencing the medical care seeking delay included regular health check-up ( OR=0.033, 95% CI: 0.008-0.147), coughing for less than 2 weeks or showing any symptom of PTB before medical care seeking ( OR=0.378, 95% CI: 0.215-0.665), showing other symptoms before medical care seeking( OR=2.791, 95% CI: 1.710-4.555), no work or school in medical care seeking ( OR=2.990, 95% CI: 1.419-6.298). The diagnosis delay time M( Q1, Q3) in the PTB patients was 8 (0, 18) days, with a delay rate of 35.20%. Multivariate logistic regression model analysis revealed that the factors influencing the diagnosis delay of PTB included being diagnosed at a specialized tuberculosis hospital ( OR=0.426, 95% CI: 0.236-0.767) or a tuberculosis prevention and control institution ( OR=1.843, 95% CI: 1.061-3.202) and being traced as a source of infection ( OR=2.632, 95% CI: 1.062-6.521). The overall performance of the multivariate logistic regression model was comparable to that of the decision tree model, with the decision tree model exhibiting higher sensitivity but lower specificity. Conclusions:The medical care seeking delay rate and diagnosis delay rate of tuberculosis in Tongzhou and Changping were at low levels in 2021. However, it is still necessary to strengthen the health education and active screening, improve the public awareness of PTB prevention and control, and further improve the level of medical services and medical access to reduce the medical care seeking delay and diagnosis delay of PTB patients.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To explore the role of β-1,3-galactosyltransferase 2(B3galt2)in mice with cerebral ischemic injury.Methods Adult male C57BL/6J mice were randomly divided into the sham,suture-occluded middle cerebral artery occlusion(MCAO)model,MCAO model+lentiviral vector control(LV-GFP),and MCAO model+lentiviral vector overexpression B3galt2(LV-B3galt2)groups,with six mice in each group.Neurological deficit scoring and rotating rod experiments were performed 24 h after ischemia in each group,and 2,3,5-triphenyltetrazolium chloride(TTC)staining was used to determine the infarction volume.The number of neurons in the ischemic cerebral cortex was determined in each group using Nissl staining.The levels of oxidative stress-related factors in the brain tissues were detected using the relevant kits.Results Compared with the sham group,the MCAO model group showed increased infarct volume and neurological deficits(P<0.05),significantly decreased number of neurons in the ischemic cerebral cortex and levels of super-oxide dismutase(SOD)and glutathione peroxidase(GSH)(all P<0.05),and significantly increased levels of reactive oxygen species(ROS)and malondialdehyde(MDA)(all P<0.05).Compared with the MCAO model group,the LV-B3galt2 group had reduced volume of cerebral infarction,significantly improved neurological deficits(all P<0.05),significantly increased number of neurons in the ischemic cerebral cortex of mice,significantly decreased levels of ROS and MDA(P<0.05),and significantly elevated levels of SOD and GSH(all P<0.05).Conclusion B3galt2 overexpression can reduce brain injury in an ischemic damage mouse model,and its mechanism may be through the inhibition of oxidative stress reactions.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

【Objective】 To explore the factors influencing the survival and prognosis of patients with bladder urothelial carcinoma (BUC) after surgical treatment, and to establish an artificial intelligence algorithm to predict the effects of different surgical regimens. 【Methods】 BUC patients treated with surgery during Jan.2007 and Jan.2019 in The Second Hospital of Dalian Medical University and Nanfang Hospital of Southern Medical University were enrolled. The complete clinical and follow-up data were collected. Deep neural network (DNN) was used to establish an artificial intelligence algorithm model. A prediction model of survival and prognosis was established, and the influencing factors of survival were explored and ranked by the artificial intelligence algorithm. 【Results】 A total of 832 patients were involved, including 438 (52.64%) treated in The Second Hospital of Dalian Medical University, and 394 (47.36%) treated in Nanfang Hospital of Southern Medical University. Of all cases, 579 (69.6%) were non-muscle invasive bladder cancer, and 253 (30.4%) were muscle invasive bladder cancer. Transurethral resection of bladder tumor was conducted in 539 (64.8%) cases, partial cystectomy in 66 (7.9%) cases, and total cystectomy in 227 (27.3%) cases. The data of patients treated in Second Hospital of Dalian Medical University were used for DNN modeling, and the data of patients treated in Nanfang Hospital of Southern Medical University were used for external verification after modeling. Finally, it was concluded that the factors affecting survival and prognosis were T stage, pathological grade, hypertension or cardiovascular and cerebrovascular disease, hemoglobin, blood calcium, smoking, albumin, lymphocytes, age, ratio of albumin/globulin, operation method, N stage, and creatinine clearance rate in descending order. The model could be used for preoperative prediction. 【Conclusion】 Through DNN modeling and external verification, the influencing factors of postoperative survival can be predicted for patients with bladder cancer, and the surgical effects can also be predicted before operation. The model can provide artificial intelligence algorithm support for the selection of surgical methods and postoperative follow-up plans.

Objective:To explore the risk factors involved in gastritis, gastric intraepithelial neoplasia (GIN) and gastric cancer in Shihezi area.Methods:A total of 7 110 Han nationality patients who underwent gastroscopy at the First Affiliated Hospital of Shihezi University School of Medicine from January 2012 to December 2016 were selected as the research subjects. The data of patients were obtained through medical records and questionnaires. After excluding diseases related to esophagus and duodenum, a total of 4 429 cases were included in the retrospective analysis. Of which, 4 249 were gastritis, 93 were GIN, and 87 were gastric cancer. χ2 test, rank-sum test or Fisher exact probability method were used to analyze the differences of various factors in gastritis, GIN and gastric cancer. Univariate and multivariate logistic regression analysis were used to screen the risk factors for gastritis progression to GIN and gastric cancer. Results:χ2 test and rank sum test showed that there were statistically significant differences in gender, age, history of digestive diseases and distribution of Helicobacter pylori ( HP) infection among the groups of gastritis, GIN and gastric cancer ( P<0.05). The proportion of HP infection decreased gradually with the disease severity. Multivariate logistic regression analysis showed that male ( P<0.001, OR=2.251, 95% CI: 1.461-3.470), elderly ( P<0.001, OR=4.829, 95% CI: 2.241-10.409), a family history of gastric cancer ( P=0.002, OR=3.227, 95% CI: 1.537-6.774) and a history of digestive diseases ( P=0.034, OR=1.644, 95% CI: 1.037-2.607) were independent risk factors for gastritis progression to GIN. Male ( P<0.001, OR=3.254, 95% CI: 2.026-5.225), middle-aged ( P=0.022, OR=2.688, 95% CI: 1.153-6.265) and elderly ( P=0.002, OR=4.734, 95% CI: 1.750-12.807) were independent risk factors for gastritis progression to gastric cancer. In stratified analysis to exclude age and gender, smoking ( P=0.028, OR=4.060, 95% CI: 1.160-14.202) was found to be a risk factor for gastritis progression to GIN in young adults, and obesity ( P=0.032, OR=3.869, 95% CI: 1.121-13.356) was found to be a risk factor for gastritis progression to gastric cancer in women. Conclusion:The degree of HP infection in gastric tissues is negatively correlated with the severity of gastric diseases, suggesting that HP infection may be an early event inducing gastric cancer. Male, the elderly, people with a family history of gastric cancer and a history of digestive diseases, and young smokers in Shihezi are more likely to develop GIN, and male, middle-aged, elderly, and obese women are at increased risk of gastric cancer.

Peritoneal adhesion (PA) is a high morbidity complication after surgical procedures, with serious clinical consequences and requiring substantial medical expenditure. The pathogenesis of PA is complex and is still not very clear. Clinically, it is mainly treated by optimizing surgical protocols, using anti-adhesion drugs and biomaterial barriers. Although these methods have shown certain preventive effects, the effectiveness needs to be further improved. Elucidating the mechanism of PA formation is the basis and premise for preventing its occurrence. In the process of PA formation, a variety of inflammatory cells, inflammatory factors play important roles. In this paper, the mechanism of inflammation and immunoregulatory responses in the formation of adhesions in the peritoneal cavity was reviewed, in order to provide a reference for the improvement of PA prevention strategies.

Objective:To observe the clinical efficacy of Dushen Decoction and Zhenwu Decoction in the treatment of chronic congestive heart failure (CCHF) of Yang deficiency and blood stasis type. Methods:From March 2017 to December 2019, 120 patients with CCHF of Yang-deficiency and blood stasis type admitted to Shanghai Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine were selected, and they were divided into study group and control group according to the randomized number table method, with 60 in each group. The control group was given western medicine of conventional treatment, and the study group was combined with Dushen Decoction and Zhenwu Decoction on the basis of the control group. Both groups were treated for 1 month. Before and after treatment, TCM syndrome scores were performed, serum TNF-α, IL-17 and CRP were detected by ELISA, left ventricular ejection fraction (LVEF), left ventricular end diastolic diameter (LVEDD) and left ventricular end systolic diameter (LVESD) were detected by color doppler echocardiography the adverse reactions during the treatment were recorded and the clinical efficacy was evaluated. Results:The total effective rate was 91.7% (55/60) in the study group and 71.7% (43/60) in the control group, with significant difference between the two groups ( χ2=8.015, P=0.005). After treatment, the scores of palpitation, dyspnea, chilly limbs, dull tongue and edema in the study group were significantly lower than those in the control group ( t=13.953, 13.915, 30.945, 32.339, 20.403, P<0.001). After treatment, LVEF [(56.28 ± 4.34)% vs. (42.47 ± 4.56)%, t=16.993] in the study group was significantly higher than that of the control group ( P<0.01); LVEDD [(44.32 ± 6.23) mm vs. (53.81 ± 5.19) mm, t=9.066] and LVESD [(31.28 ± 4.62) mm vs. (37.51 ± 4.73) mm, t=7.299] in the study group were significantly lower than those in the control group ( P<0.01). After treatment, the serum levels of TNF-α, IL-17 and CRP in the study group were significantly lower than those in the control group ( t=12.644, 15.975 and 14.379, P<0.001). The incidence of adverse reactions was 6.7% (4/60) in the control group and 8.3% (5/60) in the study group, and there was no significant difference between the two groups ( χ2=0.120, P=0.729). Conclusion:Dushen Decoction and Zhenwu Decoction in the treatment of CCHF can improve the clinical symptoms, improve the cardiac function, reduce inflammatory factors, improve the treatment efficiency with good safety.

Objective:To explore the experience and feelings of the aged in the community after implementing the "four-stage" death education based on the theory of knowledge, attitudes and practice, so as to provide a basis for the follow-up promotion of death education for community residents.Methods:The "four-stage" death education model was constructed according to the theory of knowledge, attitudes and practice. From April to December 2019, convenience sampling was used to select 30 elderly people in a nursing home and a community in Beijing, and two death education announcements were carried out in the nursing home and the community. After the event, 15 elderly people were selected by purposive sampling to conduct semi-structured in-depth interviews to understand their experiences and feelings after receiving education. Generic analysis was used to encode, classify, and extract topics from the acquired data.Results:After receiving death education, the elderly's psychological experience was summarized into 5 main themes: death cognition was gradually approaching objective reality; death anxiety was improved; beginning to think about death issues and prepare for death in advance; the ability to respond to death incidents was improved; cherishing the rest of their lives and work hard to live the moment.Conclusions:The implementation of "four-stage" death education based on the theory of knowledge, attitudes and practice can be accepted and effectively responded to by the aged in the community. It can help the aged improve their scientific understanding and reduce their doubts and confusions about death.