Objective To assess the effectiveness of psychological intervention on post-stoke depression. Methods Such databases as the JBI Database of Systematic Review (1980 to June, 2010), The Cochrane Library (1980 to June, 2010), PubMed (1966 to 2010), CINAHL(1982 to May, 2000), CBM (1978 to 2010), and CNKI (1979 to 2010) were searched to collect randomized controlled trials (RCTs). In accordance with the predefined inclusion and exclusion criteria, the quality of included studies was evaluated, and then meta-analyses were performed by using RevMan 5.0 software. Results A total of 33 RCTs were included. The results of meta-analyses showed: (1) Compared with the control group, the short-term effect of psychological intervention was more effective in decreasing depression score. The subgroup analysis showed that the intervention effects at the time of four weeks, six weeks, eight weeks, and 12 weeks were better than those of the control group. (2) The long-term effect of psychological intervention was more effective in decreasing depression score. The subgroup analyses showed that the intervention effects at the interval of eight weeks, 24 weeks, and 48 weeks were better than those of the control group. (3) The combined or single application of either cognitive-behavioral psychotherapy or supportive psychotherapy was more effective in decreasing depression score than the control group. However, there was no significant difference between the general psychological treatment group and the control group. (4) The subgroup analyses showed that the different qualities of the included studies were more effective than those of the control group. Conclusion Various psychological intervention is effective in decreasing the patient’s depression score, and cognitive-behavioral therapy and supportive psychotherapy, especially, can significantly improve the depression state and promote recovery.
Open reduction and internal fixation with plate and screw is one of the most widely used surgical methods in the treatment of proximal humeral fractures in the elderly. In recent years, more and more studies have shown that it is very important to strengthen the medial column support of the proximal humerus during the surgery. At present, orthopedists often use bone graft, bone cement, medial support screw and medial support plate to strengthen the support of the medial column of the proximal humerus when applying open reduction and internal fixation with plate and screw to treat proximal humeral fractures. Therefore, the methods of strengthening medial column support for proximal humerus fractures and their effects on maintaining fracture reduction, reducing postoperative complications and improving functional activities of shoulder joints after operation are reviewed in this paper. It aims to provide a certain reference for the individualized selection of medial support methods according to the fracture situation in the treatment of proximal humeral fractures.
ObjectiveTo predict the total hospitalization expenses of bronchopneumonia inpatients in a tertiay hospital of Sichuan Province through BP neural network and support vector machine models, and analyze the influencing factors.MethodsThe home page information of 749 cases of bronchopneumonia discharged from a tertiay hospital of Sichuan Province in 2017 was collected and compiled. The BP neural network model and the support vector machine model were simulated by SPSS 20.0 and Clementine softwares respectively to predict the total hospitalization expenses and analyze the influencing factors.ResultsThe accuracy rate of the BP neural network model in predicting the total hospitalization expenses was 81.2%, and the top three influencing factors and their importances were length of hospital stay (0.477), age (0.154), and discharge department (0.083). The accuracy rate of the support vector machine model in predicting the total hospitalization expenses was 93.4%, and the top three influencing factors and their importances were length of hospital stay (0.215), age (0.196), and marital status (0.172), but after stratified analysis by Mantel-Haenszel method, the correlation between marital status and total hospitalization expenses was not statistically significant (χ2=0.137, P=0.711).ConclusionsThe BP neural network model and the support vector machine model can be applied to predicting the total hospitalization expenses and analyzing the influencing factors of patients with bronchopneumonia. In this study, the prediction effect of the support vector machine is better than that of the BP neural network model. Length of hospital stay is an important influencing factor of total hospitalization expenses of bronchopneumonia patients, so shortening the length of hospital stay can significantly lighten the economic burden of these patients.
Abstract： Objective To assess the effects of three different palliative procedures including modified BlalockTaussig (B-T) shunt, Waterston shunt, and reconstruction of right ventricularpulmonary artery (RV-PA) continuity for pulmonary atresia with ventricular septal defect (PAVSD). Methods We retrospectively analyzed the clinical data of 93 patients with PAVSD who had undergone palliative surgical procedures including modifie BT shunt, Waterston shunt, and RVPA econstruction in Fu Wai Hospital from September 1998 to September 2008. There were 53 males and 40 females, aged from 14.0 days to 14.4 years, with the body weight ranged from 3.6 to 33.0 kg (9.9±6.3 kg). According to International Congenital Heart Surgery Nomenclature and Database Project, these patients were categorized into 2 groups: 64 of type Ⅰ and 29 of type Ⅱ. The most common associated anomaly is rightsided aortic arch (except for ventricular septal defect). The application of the three kinds of palliative surgical procedures in staged management of PAVSD and the followup results were statistically analyzed. Results The corrective rate of the three palliative procedures were 28.12% (18/64) for modified BT shunt, 7.14%(1/14) for Waterston shunt, and 66.67% (10/15) for RV-PA reconstruction, respectively. RV-PA reconstruction had a significantly higher corrective 〖CM(1585mm〗rate than the other two surgical procedures (P=0.016). The percutaneous oxygen saturation (SpO2) increased by 4%59% and Nakata index by 31-104 mm2/m2. No tortuous pulmonary artery was found under echocardiogram or angiocardiography after palliative operation. The perioperative mortality of both surgical stages was 10 patients. Twostage radical surgery was successfully performed for 25 patients, among whom 20 were followed up till May 2009. During the followup, one died suddenly, 15 were classified as New York Heart Association (NYHA) Ⅰ, and 4 as NYHA Ⅱ. Conclusion The surgical management of PAVSD needs to be improved continuously. Compared with shunting procedures, the RVPA reconstruction is a better palliative operation method, and the modified B-T shunt is preferred in younger patients.
In order to improve the motion fluency and coordination of lower extremity exoskeleton robots and wearers, a pace recognition method of exoskeleton wearer is proposed base on inertial sensors. Firstly, the triaxial acceleration and triaxial angular velocity signals at the thigh and calf were collected by inertial sensors. Then the signal segment of 0.5 seconds before the current time was extracted by the time window method. And the Fourier transform coefficients in the frequency domain signal were used as eigenvalues. Then the support vector machine (SVM) and hidden Markov model (HMM) were combined as a classification model, which was trained and tested for pace recognition. Finally, the pace change rule and the human-machine interaction force were combined in this model and the current pace was predicted by the model. The experimental results showed that the pace intention of the lower extremity exoskeleton wearer could be effectively identified by the method proposed in this article. And the recognition rate of the seven pace patterns could reach 92.14%. It provides a new way for the smooth control of the exoskeleton.
Hypertension is the primary disease that endangers human health. A convenient and accurate blood pressure measurement method can help to prevent the hypertension. This paper proposed a continuous blood pressure measurement method based on facial video signal. Firstly, color distortion filtering and independent component analysis were used to extract the video pulse wave of the region of interest in the facial video signal, and the multi-dimensional feature extraction of the pulse wave was preformed based on the time-frequency domain and physiological principles; Secondly, an integrated feature selection method was designed to extract the universal optimal feature subset; After that, we compared the single person blood pressure measurement models established by Elman neural network based on particle swarm optimization, support vector machine (SVM) and deep belief network; Finally, we used SVM algorithm to build a general blood pressure prediction model, which was compared and evaluated with the real blood pressure value. The experimental results showed that the blood pressure measurement results based on facial video were in good agreement with the standard blood pressure values. Comparing the estimated blood pressure from the video with standard blood pressure value, the mean absolute error (MAE) of systolic blood pressure was 4.9 mm Hg with a standard deviation (STD) of 5.9 mm Hg, and the MAE of diastolic blood pressure was 4.6 mm Hg with a STD of 5.0 mm Hg, which met the AAMI standards. The non-contact blood pressure measurement method based on video stream proposed in this paper can be used for blood pressure measurement.
【摘要】目的介绍华西医院支援西部地区卫生工程项目的实践和成效。方法过去5年间，华西医院响应国家号召，通过各种帮扶形式，开展了一系列对口支援活动。结果华西医院利用自身的资源优势，通过各种帮扶形式，提高基层医院的医疗救治水平和综合服务能力，为建立城市支援农村卫生工作的长效机制进行了积极的实践和探索，取得显著成效。结论基层卫生事业与人民健康需求和现代医学进步存在着相当的差距，医疗体制改革对部属部管医院的对口支援提出了更高的要求，对口支援的许多细节还需要我们去进一步完善。【Abstract】Objective To introduce the practice and progress of the supportive rural hygiene program of West China Hospital. Methods In the past five years, West China Hospital had made a lot of supportive rural hygiene practice. Results West China Hospital made good use of its own advantages in resources to develop the treatment level and the comprehensive service capability of primary hospital. West China Hospital did a lot of practice to establish the effective system of assistance of city medical care to rural areas, and had already achieved remarkable effects. Conclusionre is a lot of disparity between the basic public health or the requirement of people and the modern medicine progress. Many details for support should be further consummated.
ST segment morphology is closely related to cardiovascular disease. It is used not only for characterizing different diseases, but also for predicting the severity of the disease. However, the short duration, low energy, variable morphology and interference from various noises make ST segment morphology classification a difficult task. In this paper, we address the problems of single feature extraction and low classification accuracy of ST segment morphology classification, and use the gradient of ST surface to improve the accuracy of ST segment morphology multi-classification. In this paper, we identify five ST segment morphologies: normal, upward-sloping elevation, arch-back elevation, horizontal depression, and arch-back depression. Firstly, we select an ST segment candidate segment according to the QRS wave group location and medical statistical law. Secondly, we extract ST segment area, mean value, difference with reference baseline, slope, and mean squared error features. In addition, the ST segment is converted into a surface, the gradient features of the ST surface are extracted, and the morphological features are formed into a feature vector. Finally, the support vector machine is used to classify the ST segment, and then the ST segment morphology is multi-classified. The MIT-Beth Israel Hospital Database (MITDB) and the European ST-T database (EDB) were used as data sources to validate the algorithm in this paper, and the results showed that the algorithm in this paper achieved an average recognition rate of 97.79% and 95.60%, respectively, in the process of ST segment recognition. Based on the results of this paper, it is expected that this method can be introduced in the clinical setting in the future to provide morphological guidance for the diagnosis of cardiovascular diseases in the clinic and improve the diagnostic efficiency.
Keloids are benign skin tumors resulting from the excessive proliferation of connective tissue in wound skin. Precise prediction of keloid risk in trauma patients and timely early diagnosis are of paramount importance for in-depth keloid management and control of its progression. This study analyzed four keloid datasets in the high-throughput gene expression omnibus (GEO) database, identified diagnostic markers for keloids, and established a nomogram prediction model. Initially, 37 core protein-encoding genes were selected through weighted gene co-expression network analysis (WGCNA), differential expression analysis, and the centrality algorithm of the protein-protein interaction network. Subsequently, two machine learning algorithms including the least absolute shrinkage and selection operator (LASSO) and the support vector machine-recursive feature elimination (SVM-RFE) were used to further screen out four diagnostic markers with the highest predictive power for keloids, which included hepatocyte growth factor (HGF), syndecan-4 (SDC4), ectonucleotide pyrophosphatase/phosphodiesterase 2 (ENPP2), and Rho family guanosine triphophatase 3 (RND3). Potential biological pathways involved were explored through gene set enrichment analysis (GSEA) of single-gene. Finally, univariate and multivariate logistic regression analyses of diagnostic markers were performed, and a nomogram prediction model was constructed. Internal and external validations revealed that the calibration curve of this model closely approximates the ideal curve, the decision curve is superior to other strategies, and the area under the receiver operating characteristic curve is higher than the control model (with optimal cutoff value of 0.588). This indicates that the model possesses high calibration, clinical benefit rate, and predictive power, and is promising to provide effective early means for clinical diagnosis.
Objective To explore the management practices of projects supported by National Natural Science Foundation in a large general hospital. Methods We carried out an overall analysis on the data of projects supported by National Natural Science Foundation of China from 2011 to 2016 in West China Hospital of Sichuan University. The characteristics of researchers who were granted the foundation were also studied. Results In the recent six years, there were 767 projects granted by the National Natural Science Foundation in the hospital, with an average of 127 projects a year. The Department of Medical Sciences was the top source of approval for the projects (690 items), and its granted projects covered all the categories set by the foundation committee. Most of the researchers who got the fund were between 25 and 40 years of age (501 projects). Researchers in charge of general projects were mainly professors with an age of (43.54±7.28) years old in average. Researchers in charge of Projects for Distinguished Young Scholars were mainly of medium-grade professional titles, and their average age was (32.01±3.05) years old. Moreover, among these young scholars, the age of male researchers [(31.27±2.23) years old] was significantly younger than that of female scholars [(32.90±3.62) years old](P<0.01). Conclusion It is more and more important for National Natural Science Foundation of China to study the accumulation of early research of young scholars and the leading role of the hospital in basic research, personnel training and discipline construction.