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Objective:To investigate the effect of Fuzheng-Peiyuan recipe assisted modified VAD program on M protein, myeloma cells and immune function in patients with multiple myeloma (MM). Methods:A total of 96 patients with MM from January 2017 to May 2019 in our hospital were selected as the research objects, and they were divided into two groups according to the random number table method, with 48 patients in each group. The control group was given a modified VAD regimen (vincristine + adriamycin + dexamethasone), and the observation group was given Fuzheng-Peiyuan recipe as an auxiliary VAD regimen. Both groups were treated for 3 cycles. The clinical efficacy, TCM syndrome score, bone pain score, blood creatinine, hemoglobin, blood calcium, M protein, myeloma cells, immune function [Interleukin-2 (IL-2), Interferon-gamma (INF-γ), Interleukin-4 (IL-4), Interleukin-10 (IL-10)] levels and adverse reactions of the two groups were recorded and compared before and after treatment. Results:The total effective rate of the observation group was 81.3% (39/48), and the control group was 62.5% (30/48). The difference between the two groups was statistically significant ( χ2=4.174, P=0.041). The scores of TCM syndromes ( t=4.674, 13.328) and bone pain scores ( t=4.505, 11.398) in the observation group were significantly lower than those in the control group ( P<0.01) at 1 and 3 cycles after treatment; SCr ( t=4.452, 10.039), blood calcium ( t=4.578, 4.155) in the observation group were significantly lower than those in the control group ( P<0.01); HbAlc levels ( t=5.290, 8.871) in the observation group was significantly higher than that of the control group ( P<0.01); M protein ( t=11.145, 33.812), myeloma cells ( t=6.415, 19.731) in the observation group were significantly lower than those in the control group ( P<0.01); serum IL-2 ( t=4.922, 8.789), INF-γ ( t=5.610, 8.886) in the observation group were significantly higher than those in the control group ( P<0.01); IL-4 ( t=4.709, 6.784), IL-10 ( t=5.287, 12.823) in the observation group were significantly lower than those in the control group ( P<0.01). During the treatment, the incidence of adverse reactions in the observation group was 41.7% (20/48) and that in the control group was 62.5% (30/48). The difference between the two groups was statistically significant ( χ2=4.174, P=0.041). Conclusion:Fuzheng-Peiyuan recipe assisted in improving the VAD regimen in the treatment of MM has a significant clinical effect, which can relieve the clinical symptoms of patients and reduce the degree of bone pain, and promote the reduction of myeloma cells in patients, improve their immune function, and improve the tolerance of chemotherapy.
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As an important promising biomarker, high frequency oscillations (HFOs) can be used to track epileptic activity and localize epileptogenic zones. However, visual marking of HFOs from a large amount of intracranial electroencephalogram (iEEG) data requires a great deal of time and effort from researchers, and is also very dependent on visual features and easily influenced by subjective factors. Therefore, we proposed an automatic epileptic HFO detection method based on visual features and non-intuitive multi-domain features. To eliminate the interference of continuous oscillatory activity in detected sporadic short HFO events, the iEEG signals adjacent to the detected events were set as the neighboring environmental range while the number of oscillations and the peak–valley differences were calculated as the environmental reference features. The proposed method was developed as a MatLab-based HFO detector to automatically detect HFOs in multi-channel, long-distance iEEG signals. The performance of our detector was evaluated on iEEG recordings from epileptic mice and patients with intractable epilepsy. More than 90% of the HFO events detected by this method were confirmed by experts, while the average missed-detection rate was < 10%. Compared with recent related research, the proposed method achieved a synchronous improvement of sensitivity and specificity, and a balance between low false-alarm rate and high detection rate. Detection results demonstrated that the proposed method performs well in sensitivity, specificity, and precision. As an auxiliary tool, our detector can greatly improve the efficiency of clinical experts in inspecting HFO events during the diagnosis and treatment of epilepsy.
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Objective To prepare an influenza A(H1N1) split-virus vaccine and observe its safe-ty and effectiveness. Methods According to the process for preparing seasonal flu split-virus vaccine two batches of vaccine were prepared with the flu A (H1N1) vaccine virus strain recommended by WHO. The pilot products were tested against the requirements of flu split-virus vaccine. Results The quality of the pi-lot vaccine has been tested by National Control Laboratory and conformed to the requirements. Nine hundred and sixty volunteers received one dose of vaccine containing either 15 μg or 30 μg of hemagglutinin. The re-suits indicated the both seroconversion rate and protection rate were higher the 70%. The GMT of HIAb of the volunteers who received 1 dose of 15 μg increased significantly by 15, 39, 37 and 25 times compared to those before vaccination in the age groups of 3-11, 12-17, 18-59 and ≥60, respectively. And 26, 72, 68 and 36 times rise were found in the postvaccinated volunteers of 30 μg group. The total adverse reaction rates of 15 μg and 30 μg dose group were 29.38% and 43.75%, respectively. The grade 2 adverse reaction rates of 15 μg and 30 μg dose group were 6.25% and 15.42%, and the grade 3 adverse reaction rates of 15 μg and 30 μg dose group were 0.83% and 1.46%, respectively. No serious adverse reactions were found. Conclusion The influenza A (H1N1) split-virus vaccine prepared according to the requirements of season-al flu vaccine is safe and effective.