Objective To explore the efficacy and safety of greenlight photoselective vaporization of prostate (PVP) in high-risk elder patients with benign prostatic hyperplasia (BPH). Methods A total of 120 high-risk elder patients with BPH underwent PVP procedure. The operating time, blood 1oss, indwelling catheterization and operation-related complications were monitored. The variables such as international prostate symptom score (IPSS), Quality of life (QOL) score, maximum urinary flow rate (Qmax) and residual urine volume (RUV) were recorded and compared pre- and post-operatively. Results All the 120 patients had a good peri-operative condition. The mean operating time was (52. 6 ± 5.8 )min, intraoperative blood loss was (20.4 ±9.5) ml. Among the 120 cases,26 did not received postoperative catheterization. In the other 94 cases received postoperative catheterization, the mean catheterization time was (24. 5 ± 15.9) hour. IPSS and QOL scores decreased from (28.5 ± 3.8) and (5.0 ± 0.8) preoperatively to (7.2 ± 1.8) and (1.5 ± 0.6)postoperatively. Qmax increased from ( 5.2 ± 3.1 ) ml/s to ( 15.2 ± 4.3 ) ml/s, and RUV decreased from ( 118.6 ± 15.2) ml to ( 16. 5 ± 4. 6) ml. There was significant difference for these parameters before and after the operation (Ps ＜ 0. 05 ). Conclusion The PVP is considered to be a safe, effective and minimally invasive procedure to treat BPHin high-risk elder patients. It is easy to manipulate, with advantages of shorter operating time,less blood loss, better tolerance and rapid recovery, especially for high-risk elder patients with BPH.

PURPOSE: Cancer stem cells have recently been thought to be closely related to tumor development and reoccurrence. It may be a promising way to cure malignant glioma by using glioma stem cell-targeted dendritic cells as a tumor vaccine. In this study, we explored whether pulsing dendritic cells with antigens of glioma stem cells was a potent way to induce specific cytotoxic T lymphocytes and anti-tumor immunity. MATERIALS AND METHODS: Cancer stem cells were cultured from glioma cell line U251. Lysate of glioma stem cells was obtained by the repeated freezing and thawing method. Dendritic cells (DCs) were induced and cultured from the murine bone marrow cells, the biological characteristics were detected by electron microscope and flow cytometry. The DC vaccine was obtained by mixing DCs with lysate of glioma stem cells. The DC vaccine was charactirizated through the mixed lymphocyte responses and cell killing experiment in vitro. Level of interferon-gamma (IFN-gamma) in the supernatant was checked by ELISA. RESULTS: After stimulation of lysate of glioma stem cell, expression of surface molecules of DC was up-regulated, including CD80, CD86, CD11C and MHC-II. DCs pulsed with lysate of glioma stem cells were more effective than the control group in stimulating original glioma cells-specific cytotoxic T lymphocytes responses, killing glioma cells and boosting the secretion of IFN-gamma in vitro. CONCLUSION: The results demonstrated DCs loaded with antigens derived from glioma stem cells can effectively stimulate naive T cells to form specific cytotoxic T cells, kill glioma cells cultured in vitro.
Animals ; Antigens, Neoplasm/immunology ; Apoptosis ; Brain Neoplasms/*therapy ; Cancer Vaccines/*therapeutic use ; Cell Line, Tumor ; Cell Proliferation ; Dendritic Cells/*cytology ; Enzyme-Linked Immunosorbent Assay ; Flow Cytometry ; Glioma/*therapy ; Humans ; Interferon-gamma/metabolism ; Male ; Mice ; Mice, Inbred C57BL ; Neoplasm Transplantation ; Neoplastic Stem Cells/*cytology ; T-Lymphocytes, Cytotoxic/immunology

Moyamoya disease(MMD)is a bilateral stenosis occlusional disease that selectively affects the superior segment of clinoid of the internal carotid artery with secondary abnormal vascular network formation at the base of the skull.Intracranial and extracranial vascular reconstruction is the main treatment of moyamoya disease.However,moyamoya disease revasectomy still faces many challenges,with high requirements of surgical techniques and high risk of complications.In this paper,the perioperative management of cerebrovascular reconstruction in moyamoya disease was discussed in terms of surgical indications,surgical timing,patient management,surgical methods of cerebrovascular reconstruction and postoperative complications,so as to provide reference for improving the prognosis of patients.

Objective To investigate the diagnostic value of endoscopic ultrasound-guided fine needle aspiration ( EUS-FNA) on malignant lesions in gastrointestinal adjacent tissue, and further to analyze the risk factors influencing positive rate of EUS-FNA. Methods The clinical data of 171 patients undergoing EUS-FNA from January 2009 to May 2016 were collected. The lesion location, size and characteristics, the number of needle passes, puncture suction negative pressure, size of puncture needle, and years of operator experience in EUS were retrospectively analyzed. Results The overall sensitivity, specificity, and accuracy of EUS-FNA in the diagnosis of malignant lesions were 78. 3％ ( 83/106) , 100. 0％ ( 65/65) , and 86. 5％( 148/171) , respectively. The univariable logistic regression analysis demonstrated that the risk factors of EUS-FNA were lesion location, lesion characteristics, and lesion size. In multivariate analysis, larger lesion size ( OR=1. 029, 95％CI: 1. 011-1. 047, P=0. 001) and lesion characteristics of solid ( OR=5. 098, 95％CI:1. 324-19. 633, P=0. 018) were independent factors affecting the positive rate of EUS-FNA. Among 171 cases performed by EUS-FNA, the incidence of postoperative complications was 1. 75％ ( 3/171 ) included 2 cases of fever and 1 case of acute pancreatitis, which were improved after conservative treatment. Conclusion EUS-FNA is a safe and effective method of cytological and histological diagnosis with high accuracy and sensitivity, importantly in distinguish malignancy from benign lesion in gastrointestinal adjacenttissue. Positive rate of diagnosis on malignant lesions by EUS-FNA is positively correlated with lesion size, and EUS-FNA positive rate of solid malignant lesions is significantly higher than that of cystic lesions.

Motor dysfunction is the main clinical symptom and diagnosis basis of patients with Parkinson's disease (PD). A total of 30 subjects were recruited in this study, including 15 PD patients (PD group) and 15 healthy subjects (control group). Then 5 wearable inertial sensor nodes were worn on the bilateral upper limbs, lower limbs and waist of subjects. When completing the 6 paradigm tasks, the acceleration and angular velocity signals from different parts of the body were acquired and analyzed to obtain 20 quantitative parameters which contain information about the amplitude, frequency, and fatigue degree of movements to assess the motor function. The clinical data of the two groups were statistically analyzed and compared, and then Back Propagation (BP) Neural Network was used to classify the two groups and predict the clinical score. The final results showed that most of the parameters had significant difference between the two groups, ten times of 5-fold cross validation showed that the classification accuracy of the BP Neural Network for the two groups was 90%, and the predictive accuracy of Hoehn-Yahr (H-Y) staging and unified PD rating scale (UPDRS) Ⅲ score of the patients were 72.80% and 68.64%, respectively. This study shows the feasibility of quantitative assessment of motor function in PD patients using wearable sensors, and the quantitative parameters obtained in this paper may have reference value for future related research.

ObjectiveTo investigate the demand, supply and satisfaction of the Chinese people on assistive technology. MethodsBased on the data from the World Health Organization rapid Assistive Technology Assessment (rATA) questionnaire in six provinces and cities in China, the assistive technology of the whole population in China was described from three aspects of demand, supply and satisfaction. ResultsA total of 15 234 valid questionnaires were obtained. In terms of demand, the proportion of visual impairment was the highest in all the functional impairment categories, the highest demands in the list were glasses (low-vision, short/long distance etc.) and walking sticks (canes/sticks, tripod and quadripod), while the highest demand outside the list was anti-skid pad. In terms of supply, the private sector was the main one, followed by government facility and public hospital, and most users took "paid out-of-pocket (self)" to obtain assistive technology, the distance to access the assistive technology was concentrated at "less than five kilometers", and the biggest obstacle to obtain assistive technology was lack of knowledge about assistive technology. Overall satisfaction with assistive technology was optimistic, the adaptation degree and service quality of assistive technology were the most unsatisfactory factors for users. ConclusionIn China, the satisfaction of assistive technology is optimistic, and there is a few amount of unmet assistive technology. It is necessary to propagandize assistive technology, and its manual should be readable, the assistive technical service team should be multidisciplinary, enterprises should promote independent innovation, and the professionals should be regulated.

ObjectiveIn view of the problems of large errors and poor accuracy in pulmonary function testing in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD), a predictive classification model of pulmonary function in patients with AECOPD was proposed by comparing the prediction performance of different machine learning models to find the optimal model. MethodsFrom January, 2018 to February, 2020, 90 patients with different degrees of COPD from the Affiliated Suzhou Science and Technology Town Hospital of Nanjing Medical University were collected. Six machine learning model algorithms (K-nearest neighbor, logistic regression, support vector machine, naive Bayes, decision tree and random forest) were used to establish AECOPD predictive classification models. Their area under the curve of receiver operating characteristic (AUC-ROC) and accuracy were compared. Ten-fold cross-validation method was used to validate the data set. ResultsThe model based on random forest worked best in predicting and classifying AECOPD patients, with an accuracy rate of 0.844 and an AUC-ROC of 0.916. ConclusionRandom forest-based predictive model is a powerful tool for identifying patients with AECOPD, providing decision support when it is difficult to give a definitive diagnosis.

OBJECTIVETo identify the predictive factors for differentiating pancreatic ductal adenocarcinoma (PDAC) from other neoplastic solid pancreatic lesions and assess the accuracy of endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) for diagnosis of PDAC.

METHODSWe retrospectively analyzed the clinical data of patients referred for EUS-FNA evaluation of pancreatic lesions in the Digestive Endoscopic Center of Nanfang Hospital between January, 2009 and May, 2016. The cases with unknown diagnosis, missing data, repeated punctures, cystic lesions and benign lesions were excluded from the analysis. The positivity rates of EUS-FNA were compared between patients with PDAC and those with non-PDAC lesions, and the sensitivity, specificity, positive predictive value, negative predictive value and accuracy of EUS-FNA were assessed in the diagnosis of PDAC. Univariate and multivariate logistic regression analyses were used to identify the factors for differentiating PDAC from non-PDAC lesions based on the demographic characteristics, clinical presentations, laboratory data, and endoscopic ultrasonography imaging features of the patients.

RESULTSAmong the 75 patients with solid neoplastic pancreatic lesions, 54 (72.0%) were found to have PDAC and 21 (28.0%) had non-PDAC lesions. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of EUS-FNA for the diagnosis of PDAC were 77.8%, 100.0%, 100.0%, 63.6% and 84.0%, respectively. No significant difference was found in the positivity rate of EUS-FNA between patients with PDAC and those with non-PDAC lesions (77.8% 76.2%, > 0.05). Multivariate regression analysis identified abdominal pain (=5.163, 95%: 1.093-24.389, =0.038), lesion size (=0.926, 95%: 0.877-0.978, =0.006), characteristics of the solid lesions (=7.105, 95%: 1.440-35.043, =0.016), and evidence of metastases (=6.165, 95%: 1.332-28.533, =0.020) as the independent factors for predicting PDAC.

CONCLUSIONSThe pretest characteristics including abdominal pain, evidence of metastases, and lesion size and lesion characteristics defined by endoscopic ultrasonography findings can reliably predict a diagnosis of PDAC. EUS-FNA has a high sensitivity and a high specificity for the diagnosis of PDAC.