The antitumor activity of hyperthermia combined with mitomycin(MMC),5-fluorouracil(5-Fu)was observed in human gastric carinoma cell line MGC-803.The study was aimed at understanding the percentage of living carcinoma cell,plating efficiency and survival fraction.The results showed that hyperthermia combinedwith MMC had a synergistic antitumor activity which was enhanced with temperature increasing,but it was not the same as hyperthermia combined with 5-Fu.In comparison with simple hyperthermia,the antitumor activity of hyperthermia combined with 5-Fu was enhanced at lower temperture.This results raises a basis of clinical practice.
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.
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.
ObjectiveTo measure the operational efficiency and explore the phenomenon of the economy of scale in secondary public general hospitals of China for improving the health service efficiency.MethodsFrom February to August 2019, the data set of two input indicators (the number of employees and actual open beds) and two output indicators (the numbers of outpatients and discharges) in 511 secondary general hospitals of Shandong, Anhui, Shanxi, Hubei and Hainan provinces in 2018 were collected for data envelopment analysis. The analysis processes were three folds: First, the technical efficiency, pure technical efficiency, scale efficiency and scale compensation status of the sample hospitals were calculated respectively. Second, the comparative analysis of efficiency value and scale compensation status was carried out in 5 groups according to the bed scale. Finally, the input and output projection analysis was carried out on the ineffective decision making units.ResultsThe medians of technical efficiencies, pure technical efficiencies, and scale efficiencies of the 511 secondary general hospitals were 0.472, 0.531, and 0.909, respectively. In the 511 hospitals, 493 hospitals (96.5%) were in ineffective state, of which 321 hospitals (62.8%) were in the state of decreasing return to scale. The staff redundancy of the group with beds >100 and ≤300 was 23.86%, and its service quantity could be increased by 39.37%.ConclusionsThe overall operating efficiencies are inefficiency in secondary general hospitals of China and the optimal scale of actual open beds is between 300 and 500 beds from the perspective of scale efficiency.
Objective To analyze the dynamic efficiency of township hospitals. Methods Based on the DEA-Malmquist index, this research analyzed the change of the total factor productivity indices and the decomposition items of 281 township hospitals in Hunan province with panel data from 2000 to 2008. Results Among 281 township hospitals, less than half increased their scale efficiency, while more than half increased their total factor productivity, technology, whole efficiency and technical efficiency. Increasing technology and whole efficiency was the best way to improve total factor productivity. Besides, increasing technical efficiency and scale efficiency was the best way to improve whole efficiency. Conclusions The improvement of scale efficiency is key to developing the central township hospitals, while the improvement of technology is the key to developing general township hospitals.
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.
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.
Epilepsy is a neurological disease with disordered brain network connectivity. It is important to analyze the brain network mechanism of epileptic seizure from the perspective of directed functional connectivity. In this paper, causal brain networks were constructed for different sub-bands of epileptic electroencephalogram (EEG) signals in interictal, preictal and ictal phases by directional transfer function method, and the information transmission pathway and dynamic change process of brain network under different conditions were analyzed. Finally, the dynamic changes of characteristic attributes of brain networks with different rhythms were analyzed. The results show that the topology of brain network changes from stochastic network to rule network during the three stage and the node connections of the whole brain network show a trend of gradual decline. The number of pathway connections between internal nodes of frontal, temporal and occipital regions increase. There are a lot of hub nodes with information outflow in the lesion region. The global efficiency in ictal stage of α, β and γ waves are significantly higher than in the interictal and the preictal stage. The clustering coefficients in preictal stage are higher than in the ictal stage and the clustering coefficients in ictal stage are higher than in the interictal stage. The clustering coefficients of frontal, temporal and parietal lobes are significantly increased. The results of this study indicate that the topological structure and characteristic properties of epileptic causal brain network can reflect the dynamic process of epileptic seizures. In the future, this study has important research value in the localization of epileptic focus and prediction of epileptic seizure.
Anxiety disorder is a common emotional handicap, which seriously affects the normal life of patients and endangers their physical and mental health. The prefrontal cortex is a key brain region which is responsible for anxiety. Action potential and behavioral data of rats in the elevated plus maze (EPM) during anxiety (an innate anxiety paradigm) can be obtained simultaneously by using the in vivo and in conscious animal multi-channel microelectrode array recording technique. Based on maximum likelihood estimation (MLE), the action potential causal network was established, network connectivity strength and global efficiency were calculated, and action potential causal network connectivity pattern of the medial prefrontal cortex was quantitatively characterized. We found that the entries (44.13±6.99) and residence period (439.76±50.43) s of rats in the closed arm of the elevated plus maze were obviously higher than those in the open arm [16.50±3.25, P<0.001; (160.23±48.22) s, P<0.001], respectively. The action potential causal network connectivity strength (0.017 3±0.003 6) and the global efficiency (0.044 2±0.012 8) in the closed arm were both higher than those in the open arm (0.010 4±0.003 2, P<0.01; 0.034 8±0.011 4, P<0.001), respectively. The results suggest that the changes of action potential causal network in the medial prefrontal cortex are related to anxiety state. These data could provide support for the study of the brain network mechanism in prefrontal cortex during anxiety.
Microfluidic chips can be used to realize continuous cryoprotectants (CPA) loading/unloading for oocytes, reducing osmotic damage and chemical toxicity of CPA. In this study, five different Y-shape microfluidic chips were fabricated to realize the continuous CPA loading/unloading. The effects of flow rate, entrance angle, aspect ratio and turning radius of microchannels on the mixing efficiency of microfluidic chips were analyzed quantitatively. The experimental results showed that with the decrease of flow rates, the increase of aspect ratios and the decrease of turning raradius of microchannel, the mixing length decreased and the mixing velocity was promoted, while the entrance angle had little effect on the mixing efficiency. However, the operating conditions and structural parameters of the chips in practical application should be determined based on an overall consideration of CPA loading/unloading time and machining accuracy. These results would provide a reference to the application of microfluidic chip in CPA mixing.