Amanitin-containing mushroom poisoning is one of the most harmful and lethal types of mushroom poisoning events. Its basic medical and clinical medical knowledge has not been fully understood and mastered, so the basic and clinical diagnosis and treatment of amanitin-containing mushroom poisoning has always been a hot research field of acute mushroom poisoning. This article focuses on the new progress in the epidemiology, toxicological properties, poisoning mechanism, clinical diagnosis and treatment of amanitin-containing mushroom poisoning, in order to provide the basis for further study, diagnosis and treatment of amanitin-containing mushroom poisoning for basic researchers and clinical medical staff.
Objective To explore the methods of early diagnosis of arteriosclerosis obliterans of lower extremity (ASOLE). Methods The related literatures on ASOLE detection means adopted clinically were reviewed, and their advantages and disadvantages were compared.Results Asymptomatic ASOLE could be discovered by determination of ankle brachial index (ABI) and toe brachial index (TBI), which was a good index for arterial function assessment of lower extremity. Pulse wave velocity (PWV) was more vulnerable and less sensitive than ABI, and therefore more suitable for screening of a large sample. ASI was an index to assess arterial structure and function, and it had a good correlation with PWV. Flow-mediated dilation (FMD) was a measurement evaluating the function of endothelial cell; Pulse wave measurement was simple, sensitive, and its result was reliable. Color Doppler ultrasonography could localizate the lesion and determine the degree of stenosis at the same time. Multiple-slice CT angiography (MSCTA) was more accurate than color Doppler ultrasonography, but its inherent shortcomings, such as nephrotoxicity of contrast agent, was still need to be resolved. 3D-contrast enhancement magnetic resonance angiography (CEMRA) had little nephrotoxicity, but a combination of other imaging methods was necessary. Microcirculation detections required high consistency of the measurement environment, but they were simple, sensitive and noninvasive, and therefore could be used for screening of ASO. Conclusion Publicity and education of highrisk groups, and reasonable selection of all kinds of detection means, are helpful to improve the early diagnosis of ASOLE.
目的:观察脑出血急性期血凝动态变化规律,为治疗提供理论依据。方法:检测36例脑出血患者病后第1天、第3天、第5天、第10天、凝固启动时间(CST)、凝固达峰值时间(MCT)、最大凝固程度(MCE)、凝血酶原(FⅡ)、纤维蛋白原(Fg)和44例健康体检者的相同指标。结果:与对照组比较,脑出血组病后第1天、第3天、第5天,第10天的MCE、Fg、FⅡ增高(Plt;0.05)。结论:脑出血病后10天血凝显著增高,提示脑出血患者急性期应慎用止血剂和清除脑血肿。
In the evaluation of tear film stability based on corneal topography, a pretreatment algorithm for tear film video was proposed for eye movement, eyelash reflection and background interference. First, Sobel operator was used to detect the blur image. Next, the target image with highlighted ring pattern was obtained by the morphological open operation performed on the grayscale image. Then the ring pattern frequency of the target image was extracted through the Hough circle detection and fast Fourier transform, and a band-pass filter was applied to the target image according to the ring pattern frequency. Finally, binarization and morphological closed operation were used for the localization of the ring pattern. Ten tear film videos were randomly selected from the database and processed frame by frame through the above algorithm. The experimental results showed that the proposed algorithm was effective in removing the invalid images in the video sequence and positioning the ring pattern, which laid a foundation for the subsequent evaluation of tear film stability.
ObjectiveTo investigate the diagnostic value of products triggered by endotoxin including cytokines and procalcitonin for differentiating bacterial pneumonia from pulmonary tuberculosis. MethodsFifty patients diagnosed to have hospital-acquired pneumonia and another 50 patients diagnosed with tuberculosis admitted into West China Hospital between January and August 2015 were recruited in this study. The frequencies of CD4+ interferon (IFN)-γ+, CD4+ tumor necrosis factor (TNF)-α+, CD4+ interleukin (IL)-2+, CD4+ IL-10+ as well as CD8+IFN-γ+, CD8+TNF-α+, CD8+IL-2+, CD8+IL-10+ populations in peripheral blood were detected by flow cytometry after endotoxin stimulation. Meanwhile, the levels of procalcitonin, IL-6 and C reactive protein were measured by immunofluorescence staining. ResultsThe frequencies of CD4+ IFN-γ+, CD4+ TNF-α+, CD4+ IL-2+, CD4+ IL-10+ as well as CD8+ IFN-γ+, CD8+ TNF-α+, CD8+ IL-2+, CD8+ IL-10+ populations in the pneumonia group increased significantly compared with those in the tuberculosis group (P < 0.05). The levels of procalcitonin, IL-6 and C-reactive protein in the pneumonia group increased statistically compared with the counterparts in the tuberculosis group (P < 0.05). The positive rates of procalcitonin, IL-6 and C-reactive protein in the pneumonia group were significantly higher than those in the tuberculosis group (P < 0.05). ConclusionMeasurement of products triggered by endotoxin is beneficial for differential diagnosis of pneumonia from tuberculosis.
目的 建立测定胎盘灌流液中格列苯脲浓度的高效液相色谱（HPLC）检测方法。方法 采用的色谱柱为Symmetry Shield RP C18（150 mm×4.6 mm，5 μm），柱温40℃，流动相为NaH2PO4缓冲盐（25 mmol/L，pH值5.2）︰乙腈=1︰1；内标为格列齐特，流速1.0 mL/min，检测波长228 nm，采用液-液萃取预处理方法测定胎盘灌流液中格列苯脲的浓度。 结果 格列苯脲浓度线性范围为2.0～25.0 μg/mL，线性方程为：y=0.226x+0.002，r=0.999 9 （n=6），日内相对标准偏差（RSD）＜3.1%，日间RSD＜9.5%，方法学回收率为95.32%～103.35%。 结论 HPLC检测方法灵敏、简便，可用于胎盘灌流液中格列苯脲浓度的检测。
In order to solve the saturation distortion phenomenon of R component in fingertip video image, this paper proposes an iterative threshold segmentation algorithm, which adaptively generates the region to be detected for the R component, and extracts the human pulse signal by calculating the gray mean value of the region to be detected. The original pulse signal has baseline drift and high frequency noise. Combining with the characteristics of pulse signal, a zero phase digital filter is designed to filter out noise interference. Fingertip video images are collected on different smartphones, and the region to be detected is extracted by the algorithm proposed in this paper. Considering that the fingertip’s pressure will be different during each measurement, this paper makes a comparative analysis of pulse signals extracted under different pressures. In order to verify the accuracy of the algorithm proposed in this paper in heart rate detection, a comparative experiment of heart rate detection was conducted. The results show that the algorithm proposed in this paper can accurately extract human heart rate information and has certain portability, which provides certain theoretical help for further development of physiological monitoring application on smartphone platform.
A method was proposed to detect pulmonary nodules in low-dose computed tomography (CT) images by two-dimensional convolutional neural network under the condition of fine image preprocessing. Firstly, CT image preprocessing was carried out by image clipping, normalization and other algorithms. Then the positive samples were expanded to balance the number of positive and negative samples in convolutional neural network. Finally, the model with the best performance was obtained by training two-dimensional convolutional neural network and constantly optimizing network parameters. The model was evaluated in Lung Nodule Analysis 2016(LUNA16) dataset by means of five-fold cross validation, and each group's average model experiment results were obtained with the final accuracy of 92.3%, sensitivity of 92.1% and specificity of 92.6%.Compared with other existing automatic detection and classification methods for pulmonary nodules, all indexes were improved. Subsequently, the model perturbation experiment was carried out on this basis. The experimental results showed that the model is stable and has certain anti-interference ability, which could effectively identify pulmonary nodules and provide auxiliary diagnostic advice for early screening of lung cancer.
A fitting method of calculating local helix parameters of proteins based on dual quaternions registration fitting (DQRFit) is proposed in this paper. First, the C and N atom coordinates of each residue in the protein structure data are extracted. Then the unregistered data and reference data are constructed using the sliding windows. The square sum of the distance of the data points before and after registration is regarded as an optimization goal. We calculate the optimal rotation matrix and the translation vector using the dual quaternion registration algorithm, and get the helix parameters of the secondary structure which contain the number of residues per turn(τ), helix radius(ρ)and helix pitch(p). Furthermore, we can achieve the fitting of three-helix parameters of τ, ρ, p simultaneously with the dual quaternion registration, and can adjust the sliding windows to adapt to different error levels. Compared with the traditional helix fitting method, DQRFit has some advantages such as low computational complexity, strong anti-interference, and high fitting accuracy. It is proven that the precision of proposed DQRFit for α helix detection is comparable to that of the dictionary of secondary structure of proteins (DSSP), and is better than that of other traditional methods. This is of great significance for the protein structure classification and functional prediction, drug design, protein structure visualization and other fields in the future.