Objective To explore the efficacy and safety of esmolol for the treatment of acute myocardial infarction patients with sympathetic storm.Methods Sixty acute myocardial infarction patients who suffered from sympathetic storm during the hospitalization from January 2013 to January 2015 in the People's Hospital of Baoji City.The patients were randomly divided into two groups : esmolol group(patients were treated with cardioversion or electric defibrillation and esmolol, n =30) and control group (patients were treated with cardioversion or electric defibrillation and amiodarone, n =30).Results The effective rate of esmolol group was 93.33％ (28/30), of control group was 70.00％ (21/30), and the difference was significant (x2 =5.455, P =0.020).The success rate of esmolol group which terminated sympathetic storm was significantly higher than control group (28％ vs.20％, P =0.020).Recurrence of ventricular tachycardia or ventricular fibrillation after esmolol treatment was significantly lower, the corresponding were less (3.30± 2.76 vs.6.83 ± 4.58, P =0.001).Esmolol group was no occurrence of hypotension that could not be corrected or severe slow arrhythmia.NTproBNP level between the two groups was not statistically significant observation (P ＞ 0.05).Conclusion Esmolol treatment of sympathetic storm is better efficacy, safety and be worthy of clinical application.

Objective To analyze the clinical features of hepatic veno-occlusive disease (HVOD) and to explore the diagnosis criteria and treatment.Methods A total of 50 cases of HVOD administrated at The First Affiliated Hospital of College of Medicine,Zhejiang University from August 2008 to August 2011 were analyzed for etiology,clinical manifestation,laboratory examination,image,pathological features and treatment.Results Among the 50 HVOD cases,38 cases (76％)had a history of taking Gynura segetum.The main clinical manifestations were ascites,hepatomegaly,right upper quadrant pain,jaundice,and weight gain.Laboratory examinations indicated liver function injury and increased serum CA125 level.Color Doppler ultrasound showed hepatomegaly,decrease in diameter of hepatic vein and slow blood flow.The computed tomography scan suggested hepatomegaly,enhanced scan showed liver inhomogeneous enhancement at portal and delayed phase,map-like changes and markedly decrease in diameter of hepatic vein.Pathological examination suggested hepatic sinusoid congestion,central vein stenosis and vessel wall thickening.The main therapy was anticoagulant treatment.One case cured,33 cases improved,13 cases uncured and three cases died.Conclusions HVOD because of taking Gynura segetum is common in Zhejiang Province,which can be diagnosed according to medical history,clinical manifestations, and typical image characteristic.However,diagnosis of the atypical cases still needs liver biopsy.Anticoagulation therapy can achieve better efficacy.

Quintessential course is a kind of demonstration course,therefore,various colleges paid great attention to the construction and utilization of quintessential courses.In order to promote educational reform,improve teaching quality of medicine and reflect the value of quintessential courses,we should adopt a variety of measures to ensure the smooth undergoing of the whole process in teaching and research section of neurology including information resource sharing,video recording of class teaching,network platform constructing,teaching team constructing as well as individuation and diversification.

Objective Analysis the risk factors which maybe caused the cerebral hemorrhage after the liver transplantation, and then make out the counter nursing measures. Methods Selected 12 patients with cerebral hemorrhage after the liver transplantation as the experimental group, and then matching 48 patients without cerebral hemorrhage after the liver transplantation as the control group. Analysis the factor which related the cerebral hemorrhage. Results The factors which related the cerebral hemorrhage after the liver transplantation included in the Intensive Care Unite, heme level, Child level, APTT, albumin, blooding volume during the operation, operation time and the postoperative blood platelet level. The factors of Child level and the blooding volume during the operation were the independence risk factors of cerebral hemorrhage. Conclusion The factors of Child level and the blooding volume during the operation were the independence risk factors of cerebral hemorrhage, we should carry out counter nursing measures to prevent them.

Objective:To summarize the assessment tools for fear of falling in the elderly both domestically and internationally, providing a reference for medical and nursing staff to assess their fear of falling.Methods:The literature on assessment tools for fear of falling in the elderly was systematically searched on China National Knowledge Infrastructure, WanFang Data, China Biology Medicine disc, VIP, Embase, PubMed, Web of Science, and Cochrane Library. The search period was from database establishment to July 4, 2023. This study extracted and analyzed the content of assessment tools for fear of falling.Results:A total of 45 articles were included, involving 16 assessment tools for fear of falling.Conclusions:The 16 assessment tools for fear of falling included in the analysis are mainly self-assessment. The reliability of the assessment tool for fear of falling is good, but its validity still needs further verification. It is recommended to consider multiple factors when choosing an assessment tool for fear of falling, and combine it with quantitative objective indicators measured by professional instruments to accurately assess the fear of falling of the elderly.

Objective:To systematically review the risk prediction model of retinopathy in type 2 diabetes patients.Methods:Research on the prediction model of retinopathy in patients with type 2 diabetes was retrieved in PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biology Medicine. The search period was from database establishment to March 17, 2023. Two researchers independently screened the literature and extracted data, and used the prediction model risk of bias assessment tool to analyze the bias risk and applicability of the included literature.Results:A total of 18 articles were included, of which nine studies used Logistic regression, four studies used Cox proportional hazards regression, two studies used Lasso regression, one study used semi-parametric regression, and two studies used machine learning methods. Two studies simultaneously conducted internal and external validation, three studies conducted internal validation, and one study conducted external validation. A total of 12 studies mentioned that the area under the curve ( AUC) of predictive models ranged from 0.715 to 0.966, and all AUCs were greater than 0.7. Four studies mentioned the C index, which was 0.770 to 0.848, while two studies did not mention the predictive performance of the model. Age, course of type 2 diabetes, urinary protein, glycosylated hemoglobin, insulin use, hypertension, and time of hospital admissions were independent predictors of repeated reporting in the multivariate model. All studies had a certain risk of bias, but their applicability was good. Conclusions:The existing prediction models for retinopathy in type 2 diabetes patients have good prediction performance, but the overall risk of bias is high. Further validation of the performance of each model is needed, while further development of risk prediction models suitable for different populations (such as elderly patients, women, different races or regions) is still needed.

Objective To develop an effective decision tree management model for smart triage of nervous system diseases based on artificial neural networks and Bayesian decision theory. Methods Bayesian decision theory was used as the theoretical basis, and convolutional neural network was used to complete the rapid specialist / sub-specialist machine learning. For the specialist or sub-specialist triage data, circular neural network and Bayesian algorithm were performed to complete the probability distribution and convergence of disease symptoms and diagnosis. Results The decision tree management model and theoretical demonstration were established. According to the characteristics of the transfer learning, the rapid learning of nervous system diseases and accurate triage system, and the remote smart triage system were successfully constructed. Conclusions The management model could provide theoretical references for further use, and alleviate to some extent the currently high rate of outpatient appointment withdrawal and changes.

Diabetic cardiomyopathy is defined as abnormal structure and function of the heart in the setting of diabetes, which could eventually develop heart failure and leads to the death of the patients. Although blood glucose control and medications to heart failure show beneficial effects on this disease, there is currently no specific treatment for diabetic cardiomyopathy. Over the past few decades, the pathophysiology of diabetic cardiomyopathy has been extensively studied, and an increasing number of studies pinpoint that impaired mitochondrial energy metabolism is a key mediator as well as a therapeutic target. In this review, we summarize the latest research in the field of diabetic cardiomyopathy, focusing on mitochondrial damage and adaptation, altered energy substrates, and potential therapeutic targets. A better understanding of the mitochondrial energy metabolism in diabetic cardiomyopathy may help to gain more mechanistic insights and generate more precise mitochondria-oriented therapies to treat this disease.

The liver is the metabolic center of mammalian body. Systematic study on liver's proteome expression under different physiological and pathological conditions helps us understand the functional mechanisms of the liver. With the rapid development of liquid chromatography tandem mass spectrometry technique, numerous studies on liver physiology and pathology features produced a large number of proteomics data. In this paper, 834 proteomics experiments of mouse liver were systematically collected and the mouse liver proteome database (Mouse Liver Portal, http://mouseliver.com) was established. The Mouse Liver Portal contains the liver's proteomics data under different physiology and pathology conditions, such as different gender, age, circadian rhythm, cell type and different phase of partial hepatectomy, non-alcoholic fatty liver. This portal provides the changes in proteins' expression in different conditions of the liver, differently expressed proteins and the biological processes which they are involved in, potential signal transduction and regulatory networks. As the most comprehensive mouse liver proteome database, it can provide important resources and clues for liver biology research.
Animals ; Chromatography, Liquid ; Databases, Factual ; Liver ; Mice ; Proteome ; Proteomics

Emotion is a series of reactions triggered by a specific object or situation that affects a person's physiological state and can, therefore, be identified by physiological signals. This paper proposes an emotion recognition model. Extracted the features of physiological signals such as photoplethysmography, galvanic skin response, respiration amplitude, and skin temperature. The SVM-RFE-CBR(Recursive Feature Elimination-Correlation Bias Reduction-Support Vector Machine) algorithm was performed to select features and support vector machines for classification. Finally, the model was implemented on the DEAP dataset for an emotion recognition experiment. In the rating scale of valence, arousal, and dominance, the accuracy rates of 73.5%, 81.3%, and 76.1% were obtained respectively. The result shows that emotional recognition can be effectively performed by combining a variety of physiological signals.
Arousal ; Emotions ; Galvanic Skin Response ; Humans ; Photoplethysmography ; Support Vector Machine