At present, balanced scorecard is widely used in hospital performance management, but because of the difficulty in selecting indicators and the ambiguity of causality, its implementation on the application level is limited. Based on the theory of “competitive advantage” and resource arrangement, this study constructs an improved balanced scorecard index system for discipline performance evaluation from the perspective of improving discipline competitiveness of Ningbo No.2 Hospital. The index system mainly includes the dimensions of discipline quality development, resource allocation efficiency and so on, with the characteristics of “focusing on advantages, accurate positioning” and innovation, and has achieved good results in practical application.
Mitral regurgitation is one of the most common heart valve diseases. Transcatheter edge-to-edge repair (TEER) is currently the most developed and commonly used interventional technique for mitral regurgitation and is recommended by the latest European and American guidelines for patients who are at high surgical risk. TEER device usually consists of a clamping device and a delivery system. The trajectory of the clamping device is called the trajectory, and the trajectory can be well established with the five dimensions movement of the delivery system: left-right oscillation, anterior-posterior oscillation, overall parallel movement, the clamping device's own clockwise rotation, and vertical up-and-down movement. The delivery system's anteroposterior and lateral oscillations are concentrated on the virtual puncture site. Furthermore, the location of the septal puncture site has a significant impact on the establishemnt of the trajectory. The evulation of three variables and adherence to the "4M principles" are necessary for the successful TEER. The three variables are: the position of the clip in the center of the regurgitation,the arm orientation of the clip perpendicular to the boundary of anterior and posterior leaflets, as well as the appropriate length of clamping. The "4M principles" include favorable valve morphology, residual mitral regurgitation below grade 2+, mean transvalvular pressure≤5 mm Hg, and an appropriate amount of leaflets clamping. Patients' baseline situation, the degree of mitral regurgitation and ventricular remodeling, as well as the valve morphology and the outcome of the procedure, are the factors determining the prognosis of patients after TEER.
ObjectiveThis study aimed to revise the perioperative recovery scale for integrative medicine (PRSIM) based on item response theory (IRT). MethodsUnder the guidance of IRT, a total of 349 patient data collected during the development of the original version of PRSIM at Guangdong Provincial Hospital of Chinese Medicine were used. Principal component analysis was performed using SPSS 18.0 software to test the unidimensionality. The R language was utilized for parameter estimation, including discrimination coefficient, difficulty parameters and information content, as well as drawing item characteristic curves to assess item quality and estimate item functioning differences. A comprehensive screening process was carried out by combining expert consultations, patient evaluations, and discussions within a core group. ResultsThe degree of discrimination of all items ranged from −0.535 to 2.195. The difficulty coefficient ranged from −10.343 to 5.461, and the average information content of all items ranged from 0.043 to 1.075. Based on the criteria for parameter selection, nine items were retained. The results of expert consultations indicated the removal of 5 items and the modification of 7 items. After discussion within the core group, a final decision was made to remove 5 items. ConclusionBased on a synthesis of IRT and expert consultation feedback, and following discussions within the core group, a revised version comprising 15 items is retained and modified from the original 20 items.
Traditional sample entropy fails to quantify inherent long-range dependencies among real data. Multiscale sample entropy (MSE) can detect intrinsic correlations in data, but it is usually used in univariate data. To generalize this method for multichannel data, we introduced multivariate multiscale entropy into multiscale signals as a reflection of the nonlinear dynamic correlation. But traditional multivariate multiscale entropy has a large quantity of computation and costs a large period of time and space for more channel system, so that it can not reflect the correlation between variables timely and accurately. In this paper, therefore, an improved multivariate multiscale entropy embeds on all variables at the same time, instead of embedding on a single variable as in the traditional methods, to solve the memory overflow while the number of channels rise, and it is more suitable for the actual multivariate signal analysis. The method was tested in simulation data and Bonn epilepsy dataset. The simulation results showed that the proposed method had a good performance to distinguish correlation data. Bonn epilepsy dataset experiment also showed that the method had a better classification accuracy among the five data set, especially with an accuracy of 100% for data collection of Z and S.
With the surged prevalence of myopia, the pathogenic mechanism underlying myopia has attracted attention. At present, it is generally believed in the flied that the reduced blood perfusion in the choroid is crucial for myopigenesis. Then, in the process of myopigenesis, how are the blurred visual signals transmitted to the choroidal blood vessels through the retina and retinal pigment epithelium, leading to the reduced choroidal blood perfusion. The cellular and molecular mechanisms underpinning this process remain elusive. In recent years, the theory of scleral hypoxia has attracted much attention. Popular signaling molecules in current research include dopamine, epidermal growth factor, retinoic acid, cholinergic molecules and adenosine, etc. These factors are likely to participate in signal transduction in retina and RPE, thus causing changes in choroidal blood flow and affecting the occurrence and development of myopia. Therefore, these signaling factors and their downstream pathways may provide new ideas for the prevention and control of myopia targets.
Developmental and epileptic encephalopathy (DEE) is a group of diseases that severely affects the neurological development of children, characterized by frequent seizures and significant neurodevelopmental impairments. These diseases not only impact the quality of life of affected children but also impose a heavy burden on families and society. In recent years, the development of brain network theory has provided a new perspective on understanding the pathological mechanisms of DEE, especially the role of structural and functional brain networks in the process of epilepsy. This review systematically summarized the research progress of structural and functional brain networks in DEE, highlighted their importance in seizure activity, disease progression, and prognosis evaluation.
Present study used diffusion tensor image and tractography to construct brain white matter networks of 15 cerebral palsy infants and 30 healthy infants that matched for age and gender. After white matter network analysis, we found that both cerebral palsy and healthy infants had a small-world topology in white matter network, but cerebral palsy infants exhibited abnormal topological organization: increased shortest path length but decreased normalize clustering coefficient, global efficiency and local efficiency. Furthermore, we also found that white matter network hub regions were located in the left cuneus, precuneus, and left posterior cingulate gyrus. However, some abnormal nodes existed in the frontal, temporal, occipital and parietal lobes of cerebral palsy infants. These results indicated that the white matter networks for cerebral palsy infants were disrupted, which was consistent with previous studies about the abnormal brain white matter areas. This work could help us further study the pathogenesis of cerebral palsy infants.
Optical coherence tomography (OCT) has become a key technique in the diagnosis of coronary artery stenosis, which can identify plaques and vulnerable plaques in the image. Therefore, this technique is of great significance for the diagnosis of coronary heart disease. However, there is still a lack of automatic, multi-region, high-precision segmentation algorithms for coronary OCT images in the current research field. Therefore, this paper proposes a multi-zone, fully automated segmentation algorithm for coronary OCT images based on neutrosophic theory, which achieves high-precision segmentation of fibrous plaques and lipid regions. In this paper, the method of transforming OCT images into T in the area of neutrosophics is redefined based on the membership function, and the segmentation accuracy of fiber plaques is improved. For the segmentation of lipid regions, the algorithm adds homomorphic filter enhancement images, and uses OCT to transform OCT images into I in the field of neutrosophics, and further uses morphological methods to achieve high-precision segmentation. In this paper, 40 OCT images from 9 patients with typical plaques were analyzed and compared with the results of manual segmentation by doctors. Experiments show that the proposed algorithm avoids the over-segmentation and under-segmentation problems of the traditional neutrosophic theory method, and accurately segment the patch area. Therefore, the work of this paper can effectively improve the accuracy of segmentation of plaque for doctors, and assist clinicians in the diagnosis and treatment of coronary heart disease.
Objective To explore and implement a systematic, case guided online interactive training course for neurologists to improve their diagnosis and treatment of rare genetic diseases. Methods Doctors who participated in the course investigation of the neurogenetic project of the Department of Neurology of Peking Union Medical College Hospital between January and September 2021 were selected. Based on andragogy theory, a genetics training course for neurologists was developed by applying Kern’s six steps of curriculum development. According to the time of participating in the doctor’s courses, they were divided into three groups: completed all courses (10.7 h group), completed more than 1/2 courses (5.3～10.7 h group) and completed less than 1/2 courses (<5.3 h). According to the length of service, they were divided into groups of less than 10 years, 10-20 years and more than 20 years. Analyze the benefit difference of different doctors’ training time, and collect their feedback scales on the curriculum for the improvement of follow-up courses. Results A total of 54 doctors were included. Among them, 17 (31.5%) completed all courses, 29 (53.7%) completed more than 1/2 courses, and 8 (14.8%) completed less than 1/2 courses. There was a statistically significant difference among the three groups in the self-assessment improvement score (H=12.341, P=0.002). The results of pairwise comparison between groups of self-assessment improvement score showed that the <5.3 h group was lower than that of the 10.7 h group (P=0.007), and the the <5.3 h group was also lower than that of the 5.3～10.7 h group (P=0.002). 33 (61.1%) in the less than 10 years group, 16 (29.6%) in the 10-20 years group, and 5 (9.3%) in the more than 20 years group. There was no correlation between participating in work and course time (rs=0.113, P=0.418). 54 (100.0%) believed that they had more than moderate help (≥3 points). Most doctors (>90%) had a good evaluation of the curriculum. Conclusion The periodic neurogenetic re-education project is helpful for clinical diagnosis and treatment of rare neurogenetic diseases.
The paper discusses the scientificity, evidence-based research, clinical practice and related problems of traditional Chinese medicine (TCM) from three aspects: theory, demonstration and application, and attempts to clarify ambiguities and misconceptions, further correctly evaluate the historical status, important value and realistic significance of TCM, strengthen our national and cultural confidence, reinforce our theoretical and practical confidence, and strongly refute the derogation and stigmatization towards TCM theory and practice by very few people, in order to provide suggestions for the progress and development of TCM.