With chronic kidney disease becoming a public health problem in the world, dialysis treatment model has also become the focus of attention from all walks of life. Sustained low-efficiency dialysis, which adopts the mode of low blood flow and low dialysis volume, is a kind of hybrid renal replacement therapy combining continuous renal replacement therapy and intermittent hemodialysis. It has unique advantages in the treatment of patients with acute and severe renal injury, as well as the dialysis duration, patient activity range and cost. It is the most widely used hybrid renal replacement therapy too. This review summarizes the clinical application and nursing points of sustained low-efficiency dialysis to provide guidance for clinical practice.
Objective To analyze the current situation of the centralized treatment mode for daytime treatment (excluding daytime surgery) services in a large-scale military hospital, and provide practical support for the management and operation of the centralized treatment mode for daytime treatment. Methods Data on patients undergoing centralized daytime treatment in the Department of Ambulatory Medicine, First Medical Center of PLA General Hospital were retrospectively collected between February 7, 2021 and December 31, 2023. The patients’ condition, daytime treatment operation indicators, and quality control indicators were statistically analyzed. Results A total of 14903 patients underwent daytime treatment, including 8548 females and 6355 males. The patients’ age ranged from 18 to 74 years old. There were 9757 patients (65.47%) who had been hospitalized ≥ 2 times. The main payment method for patients was medical insurance (83.16%). Breast cancer accounted for the highest proportion (26.45%). The main treatment methods for patients were targeted therapy and immunotherapy (68.03%). The patients experienced a total of 1146 drug-related adverse reactions, mainly involving anti-tumor drugs. Among them, 15 cases were drug-related adverse reactions treated on the day of treatment, and the other 1131 cases were drug-related adverse reactions that occurred outside the hospital. After optimizing the entire process of daytime hospitalization (timed based treatment) in January 2023, compared to 2022, the average waiting time for patients after admission was reduced by 26.89%, the bed utilization rate increased by 9.09%, and patient satisfaction increased to 98.98%. In 2023, the default rate of daytime treatment was 1.15%, the cancellation rate of daytime treatment on the day of treatment was 4.39%, and the discharge follow-up rate reached 100%. Conclusions The daytime treatment under the centralized treatment mode in the the Department of Ambulatory Medicine, First Medical Center of PLA General Hospital focuses on breast cancer patients, and the main treatment methods are targeted therapy and immunotherapy. Time based treatment is beneficial for shortening the average waiting time of patients after admission, improving bed utilization and patient satisfaction.
Image interpolation is often required during medical image processing and analysis. Although interpolation method based on Gaussian radial basis function (GRBF) has high precision, the long calculation time still limits its application in field of image interpolation. To overcome this problem, a method of two-dimensional and three-dimensional medical image GRBF interpolation based on computing unified device architecture (CUDA) is proposed in this paper. According to single instruction multiple threads (SIMT) executive model of CUDA, various optimizing measures such as coalesced access and shared memory are adopted in this study. To eliminate the edge distortion of image interpolation, natural suture algorithm is utilized in overlapping regions while adopting data space strategy of separating 2D images into blocks or dividing 3D images into sub-volumes. Keeping a high interpolation precision, the 2D and 3D medical image GRBF interpolation achieved great acceleration in each basic computing step. The experiments showed that the operative efficiency of image GRBF interpolation based on CUDA platform was obviously improved compared with CPU calculation. The present method is of a considerable reference value in the application field of image interpolation.
There are few researches on the modulation effect of transcranial direct current stimulation(tDCS) on complex spatial cognition. Especially, the influence of tDCS on the neural electrophysiological response in spatial cognition is not yet clear. This study selected the classic spatial cognition task paradigm (three-dimensional mental rotation task) as the research object. By comparing the changes in behavior and event-related potentials in different modes of tDCS before, during and after the application of tDCS, this study analyzed the behavioral and neurophysiological effects of tDCS on mental rotation. The comparison between active-tDCS and sham-tDCS showed no statistically significant difference in behavior between different stimulation modes. Still, the changes in the amplitudes of P2 and P3 during the stimulation were statistically significant. Compared with sham-tDCS, the amplitudes of P2 and P3 in active-tDCS mode showed a greater decrease during the stimulation. This study clarifies the influence of tDCS on the event-related potentials of the mental rotation task. It shows that tDCS may improve the brain information processing efficiency during the mental rotation task. Also, this study provides a reference for an in-depth understanding and exploration of the modulation effect of tDCS on complex spatial cognition.
ObjectiveTo investigate the distribution, service volume, and medical efficiency of private general hospitals in Sichuan Province to provide references for optimizing the allocation of health resources in Sichuan Province. MethodsUsing the 2020 data from private general hospitals above the second level in 18 cities and states in Sichuan Province, this study calculated the market concentration and competitiveness with the Herfindahl-Hirschman index (HHI). A three-stage data envelopment analysis (DEA) model was employed to eliminate environmental variables and random errors for hospital efficiency analysis. Influencing factors were conducted using a Tobit regression model. ResultsThe HHI indices for the number of licensed (assistant) physicians, beds, and total consultations in each city and state were below 1 000, indicating a low concentration market. The comprehensive technical efficiency, pure technical efficiency, and scale efficiency of private general hospitals above the second level in Sichuan Province were 0.534, 0.661, and 0.806, respectively, after the three-stage DEA analysis. The number of practicing (assistant) physicians was negatively correlated with scale efficiency. the number of beds was negatively correlated with pure technical efficiency. The total number of consultations showed a positive correlation with overall technical efficiency, pure technical efficiency, and scale efficiency. ConclusionThe provincial private hospital market exhibits low concentration competition. Differences in efficiency exist among various regions, grades, and hospital types. Market competition in resource allocation promotes the improvement of pure technological efficiency and scale efficiency. Market share competition hinders the improvement of comprehensive technical efficiency, pure technical efficiency, and scale efficiency.
Mesenchymal stem cells (MSCs) are pluripotent stem cells with high self-proliferation and multidirectional differentiation potential. They also have other functions including immune regulation, paracrine and so on, playing an important role in repairing injured tissues. In recent years, a lot of research has been done on how MSCs promote skin injury repair, and a lot of progress has been made. Compared with direct injection of MSCs in the wound area, some special treatments or transplantation methods could enhance the ability of MSCs to repair skin injury. This paper mainly discusses the role of MSCs in skin injury repair and technical ways to improve its repairing capacity, and discusses the existing problems in this field and prospects for future research directions.
Vena cava filter is a filter device designed to prevent pulmonary embolism caused by thrombus detached from lower limbs and pelvis. A new retrievable vena cava filter was designed in this study. To evaluate hemodynamic performance and thrombus capture efficiency after transplanting vena cava filter, numerical simulation of computational fluid dynamics was used to simulate hemodynamics and compare it with the commercialized Denali and Aegisy filters, and in vitro experimental test was performed to compare the thrombus capture effect. In this paper, the two-phase flow model of computational fluid dynamics software was used to analyze the outlet blood flow velocity, inlet-outlet pressure difference, wall shear stress on the wall of the filter, the area ratio of the high and low wall shear stress area and thrombus capture efficiency when the thrombus diameter was 5 mm, 10 mm, 15 mm and thrombus content was 10%, 20%, 30%, respectively. Meanwhile, the thrombus capture effects of the above three filters were also compared and evaluated by in vitro experimental data. The results showed that the Denali filter has minimal interference to blood flow after implantation, but has the worst capture effect on 5 mm small diameter thrombus; the Aegisy filter has the best effect on the trapping of thrombus with different diameters and concentrations, but the low wall shear stress area ratio is the largest; the new filter designed in this study has a good filtering and capture efficiency on small-diameter thrombus, and the area ratio of low wall shear stress which is prone to thrombosis is small. The low wall shear stress area of the Denali and Aegisy filters is relatively large, and the risk of thrombosis is high. Based on the above results, it is expected that the new vena cava filter designed in this paper can provide a reference for the design and clinical selection of new filters.
The aim of this study is to explore the effects of continuous theta-burst transcranial magnetic stimulation (cTBS) on functional brain network in emotion processing. Before and after the intervention of cTBS over left dorsolateral prefrontal cortex (DLPFC) of ten participants who were asked to perform the emotion gender recognition task, we recorded their scalp electroencephalograms (EEG). Then we used the phase synchronization of EEG to measure the connectivity between two nodes. We then calculated the network efficiency to describe the efficiency of information transmission in brain regions. Our research showed that after the intervention of cTBS and the stimulation of the emotion face picture, there was an obvious enhancement in the event-related spectral perturbation after stimuli onset in beta band in 100–300 ms. Under the stimulation of different emotion picture, the values of global phase synchronization for negative and neutral stimuli were enhanced compared to positive ones. And the increased small-worldness was found in emotional processing. In summary, based on the effect of activity change in the left DLPFC on emotion processing brain network, the emotional processing mechanism of brain networks were preliminary explored and it provided the reference for the research of emotion processing brain network in the future.
Objective To establish a cooperative decision-making model of county-level public hospitals, so as to freely select the best partner in different decision-making units and promote the optimal allocation of medical resources. Methods The input and output data of 10 adjacent county-level public hospitals in Henan province from 2017 to 2019 was selected. Based on the traditional data envelopment analysis (DEA) model, a generalized fuzzy DEA cooperative decision-making model with better applicability to fuzzy indicators and optional decision-making units was constructed. By inputting index information such as total number of employees, number of beds, annual outpatient and emergency volume, number of discharged patients, total income and hospital grade evaluation, the cooperation efficiency intervals of different hospitals were calculated to scientifically select the best partner in different decision-making units.Results After substituting the data of 10 county-level public hospitals in H1-H10 into the model, taking H2 hospital as an example to make cooperative decision, among the four hospitals in H1, H2, H7 and H10 of the same scale, under optimistic circumstances, the best partner of H2 hospital was H7 hospital, and the cooperation efficiency value was 1.97; in a pessimistic situation, the best partner of H2 hospital was H10 hospital, and the cooperation efficiency value was 0.98. The model had good applicability in the cooperative decision-making of county-level public hospitals. Conclusion The generalized fuzzy DEA model can better evaluate the cooperative decision-making analysis between county-level public hospitals.
Objective To evaluate the teaching effect of case-based learning (CBL) combined with team-based learning (TBL) pedagogy in laboratory diagnostics education. Methods The data of the undergraduate clinical-medical students who completed the laboratory diagnostics course between September 2021 and July 2023 at West China School of Medicine of Sichuan University were retrospectively collected. Among them, the undergraduates of grade 2020 adopted the CBL+TBL combined pedagogy, while the undergraduates of grade 2019 assumed the traditional lecture-based learning (LBL) teaching method. Based on the cluster sampling method with the whole grade as the sampling unit, comparative effectiveness was assessed via examination scores and questionnaire feedback. Results A total of 303 students received the CBL+TBL teaching method (CBL+TBL group), while 289 students received the LBL teaching method (LBL group). Compared with the LBL group, the CBL+TBL group had higher scores on the clinical case discussion (90.28±4.05 vs. 88.39±5.19, P<0.001) while lower scores on the theoretical quiz (83.89±12.55 vs. 88.77±10.46, P<0.001). The overall performance of the CBL+TBL group was worse than the LBL group (61.28±3.83 vs. 61.98±3.98, P=0.028). A total of 161 valid copies of questionnaire were collected from the CBL+TBL group. Among them, more than 70% of the students believed that CBL+TBL pedagogy could improve learning motivation, independent learning ability, and team communication and assistance ability. Compared with the LBL teaching mode, 74.5% of the students preferred the CBL+TBL pedagogical approach. Conclusion The CBL+TBL pedagogy can help to improve autonomic learning, teamwork, and problem-solving ability, and a combination with LBL teaching may be utilized to enhance theoretical scores.