The paper takes heart disease dataset of UCI as experimental data,carries out disease diagnosis and calssification based on the deep learning technology of machine learning,compares with Random Forest (RF),Support Vector Machine (SVM) and Neural Network (NN) classification,and indicates that the Deep Learning (DL) technology is of great potential and important value for exploration of medical big data.

Objective To evaluate the effects of bupivacaine and ropivacaine on guinea pig papillary muscle action potential Methods The guinea pig papillary muscle preparation was exposed to ropivacaine (1, 3 or 5?g?ml -1 ) or bupivacaine ( 1, 3 and 5?g?ml -1 ) respectively, to measure maximum rate of depolarization (Vmax ), action potential amplitude (APA),action potential duration at 50% of repolarization(APD 50 ), and action potential duration at 90% of repolarization(APD 90 ) Results Vmax significantly decreased after exposure to both agents at all concentrations, Vmax decreased by 27 4% with ropivacaine at 5?g?ml -1 , and the degree was similar to that with bupivacaine at 3 ?g?ml -1 (28 4%) ,but was significantly lower than that with bupivacaine at 5 ?g?ml -1 (42 6%) (P

Situs inversus totalis (SIT) is a rare congenital condition, with an extremely low incidence. There is no difference between SIT individuals without onset of diseases and healthy counterparts. However, when SIT individuals suffer from diseases, the diagnosis and treatment are highly challenging due to insufficient understanding of SIT populations, especially for those complicated with end-stage liver disease and requiring liver transplantation. It is a huge challenge for surgeons whether SIT individuals serve as donors or recipients of liver transplantation. In this article, recent case reports related to liver transplantation in SIT patients were summarized, and the development, key procedures, clinical prognosis and postoperative complications of liver transplantation in SIT patients were reviewed.

Objective To explore method of establishing and evaluating an asthma rat model with phlegm and blood stasis syndrome.Methods 60 SD male rats were randomly divided into 5 groups,a normal group,asthma group,combination of disease and syndrome(combination)group,DM group,and KCLW group,with 12 rats in each group.Asthma models were established using ovalbumin(OVA).A syndrome model of phlegm and blood stasis was established using a high-fat diet combined with the ice water bath method.We evaluated the asthma model through animal behavior observation,pathological section observation,inflammation index detection,and airway reactivity measurements.The phlegm and blood stasis syndrome model was evaluated via measurements of rat body mass,blood glucose,blood lipids,coagulation function,and hemorheological indexes and by observing symptoms and syndrome determination by Kechuan Liuwei mixture.Results(1)After OVA induction,the rats in the asthma model group and combination group showed symptoms such as shortness of breath,open mouth breathing,abdominal movement,restlessness,and irritability.HE staining showed the disordered arrangement of the bronchial mucosa in lung tissue,local detachment,thickening of the basement membrane and the bronchial tube wall,narrowing of the lumen,extensive infiltration of inflammatory cells,and congestion of capillaries.Compared with the normal group,the asthma model group and combination group(P＜0.05)had increased serum IL-4,IL-6,and TGF-β1.Penh values were increased after stimulation with various concentrations of Mch(P＜0.05).(2)Rats in the combination group showed symptoms such as chills,curling up with minimal movement,purple and dark claws,purple and black bruises on the tail,loose stools,and unclean perianal area.Compared with the rats in the asthma model group,rats in the combination group had increased body mass(P＜0.05)and blood glucose,triglyceride,and total cholesterol levels(P＜0.05),a shortened thrombin time(P＜0.05),increased fibrinogen content(P＜0.05),and significantly increased whole-blood viscosity at low,medium,and high shear rates(P＜0.05).The indexes were significantly improved after Kechuan Liuwei mixture administration.Conclusions The asthma rat model with phlegm and blood stasis syndrome can be established through OVA induction and high-fat diet combined with ice water bath.The model can be evaluated through behavioral observation,index measurements,and syndrome determination via formulas.

Objective:To explore the contents and methods of clinical comprehensive evaluation of microecologics, with the example of Bifidobacterium quadruple viable tablet, in order to provide evidence for clinical rational use of microecologics, and microecologics research, development and related decision-making, and to promote rational use of medications. Methods:Based on the research data collected from systematic literature search, health technology assessment methods such as evidence-based medicine and pharmacoeconomics evaluation were used to estimate the safety, efficacy, economics, suitability, accessibility and innovation of Bifidobacterium quadruple viable tablet. Results:In terms of efficacy, Bifidobacterium quadruple viable tablet showed significant therapeutic effects in the treatment of pediatric diarrhea, antibiotic-related diarrhea, diarrhea-predominant irritable bowel syndrome, and secondary diarrhea caused by diseases such as ulcerative colitis, as well as constipation and functional dyspepsia. It can also be used in the treatment of various diseases such as Helicobacter pylori related gastritis, liver cirrhosis, non-alcoholic fatty liver disease. In terms of safety, the incidence of adverse effects of this medication was low, and most were mild to moderate and transient symptoms. In terms of economics, compared with mesalazine alone in the treatment of ulcerative colitis, the incremental cost-effectiveness ratio of combination of Bifidobacterium quadruple viable tablet and mesalazine was 1 743.2. Besides, the daily treatment cost of Bifidobacterium quadruple viable tablet was lower than that of combination of Bifidobacterium triple viable and Bacillus licheniformis (1.87 to 2.80 yuan vs. 2.08 to 5.78 yuan). In terms of innovation, this medication had multiple patents and had been identified as a high-tech product in Zhejiang Province. In terms of suitability, the overall suitability of use and technical characteristics of medication were good. It could be further improved in the aspects of dosage form and system. In terms of accessibility, the price of the medication was stable, affordable and accessible to the general public. Conclusions:Based on the existing evidence, Bifidobacterium quadruple viable tablet presented effective with supported evidences, good safety, accessibility and innovation. The suitability can be further optimized. However, more in-depth and targeted research is needed in terms of economics and innovation in different clinical applications, and there is space for optimization in medication suitability.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.