Abstract: Intravenous leiomyomatosis (IVL) is a rare kind of uterine myoma. It is a benign smooth muscle tumor with invading growth pattern. The tumor extends into venous channels, but rarely invades tissues. It grows along the refluxing direction of the venous channels, uterine vein, ovarian vein, and beyond the uterus, extends into the inferior vena cava till the right atrium or pulmonary arteries, resulting in intracardiac leiomyomatosis (ICL). At present, the tumor can be detected by ultrasonic waves, computer tomography and magnetic resonance imaging. The main ICL therapy is surgery which is divided into onestage operation and twostage operation in which the key is the complete tumor excision. Most sufferers have a good prognosis, but there are possibilities of recurrence. Missed diagnosis and misdiagnosis are not uncommon, because the disease is rare with hided and diversified clinical manifestations. It is fatal without special characteristics. For a better understanding of ICL, the recent research and treatment of ICL are reviewed.
ObjectiveTo conclude the current status and research progress on the pathological mechanism, development and management of pancreatic cancer-associated diseases and provide evidence for intervention of such diseases.MethodThe relevant literatures were reviewed, and the research progress on pancreatic cancer-associated diseases were summarized.ResultsThere are many types of pancreatic cancer-associated diseases, and common diseases included pancreatic intraepithelial neoplasia, intraductal papillary mucinous neoplasm, mucinous cystic neoplasm, diabetes, and chronic pancreatitis. Although management and following-up about this kind of diseases remain controversial, the basic consensus has been reached.ConclusionAdequate follow-up is required for patients with pancreatic cancer-associated disease, individualized interventions should be taken if necessary.
Electroencephalography (EEG) signals are strongly correlated with human emotions. The importance of nodes in the emotional brain network provides an effective means to analyze the emotional brain mechanism. In this paper, a new ranking method of node importance, weighted K-order propagation number method, was used to design and implement a classification algorithm for emotional brain networks. Firstly, based on DEAP emotional EEG data, a cross-sample entropy brain network was constructed, and the importance of nodes in positive and negative emotional brain networks was sorted to obtain the feature matrix under multi-threshold scales. Secondly, feature extraction and support vector machine (SVM) were used to classify emotion. The classification accuracy was 83.6%. The results show that it is effective to use the weighted K-order propagation number method to extract the importance characteristics of brain network nodes for emotion classification, which provides a new means for feature extraction and analysis of complex networks.
目的 比较无创双水平正压通气（BiPAP）平均容积保证压力支持（AVAPS）模式与同步/时间控制（S/T）模式在肥胖的慢性阻塞性肺疾病（COPD）患者并发急性Ⅱ型呼吸衰竭中的治疗作用。 方法 选取2012年3月－2013年6月入院治疗且体质量指数（BMI）＞25 kg/m2的COPD发生急性Ⅱ型呼吸衰竭患者36例，按数字随机表法分为AVAPS组与S/T组。两组的基础治疗相同，AVAPS组采用飞利浦伟康V60呼吸机BiPAP AVAPS模式进行无创通气治疗，S/T组采用相同机型BiPAP S/T模式治疗。分别比较两组患者治疗1、6、24、72 h的格拉斯高昏迷（GCS）评分变化、血气分析结果、呼吸机监测数据。 结果 AVAPS组患者在最初治疗的6 h内GCS评分高于S/T组[1 h：（13.2 ± 0.6）、（11.9 ± 0.6） 分，P＜0.05；6 h：（13.8 ± 0.5）、（12.1 ± 0.6）分，P＜0.05]；24 h内的动脉血气酸碱度pH值改善[1 h：7.31 ± 0.03、7.26 ± 0.02，P＜0.05；6 h：7.37 ± 0.05、7.31 ± 0.04，P＜0.05]；24 h：7.40 ± 0.04、7.33 ± 0.03，P＜0.05]及二氧化碳分压下降[1 h：（65.2 ± 5.1）、（69.5 ± 4.1）mm Hg（1 mm Hg=0.133 kPa），P＜0.05；6 h：（61.4 ± 4.2）、（66.7 ± 4.3） mm Hg，P＜0.05；24 h：（58.2 ± 4.5）、（64.3 ± 5.4） mm Hg，P＜0.05）]优于S/T组，24 h内浅快呼吸指数低于S/T组[1 h：（35.2 ± 8.1）、（62.8 ± 13.2）次/（min·L），P＜0.05]；6 h（33.4 ± 7.8） 、（54.8 ± 11.6）次/（min·L），P＜0.05]，同时，减少了额外的人工参数调整次数[3.4 ± 1.1、1.2 ± 0.6），P＜0.05] 结论 对超重的COPD合并急性Ⅱ型呼吸衰竭患者采用AVAPS模式进行无创通气治疗，较S/T模式能更快地恢复意识水平，更快地降低血二氧化碳分压、改善pH值，同时减少了呼吸治疗师的人工操作次数。
In order to promote the effective development of hospital day surgery mode, a construction method of information management platform that meets the characteristics of day surgery mode is presented. By analyzing the business process of the day surgery mode, the system architecture of the information platform is given; according to the difficulty of the surgical scheduling, the two-stage surgical scheduling algorithm based on the ranking theory is given; by analyzing the day surgery data statistically, a multi-angle surgical index analysis module is provided. The information management of the day surgery mode has been realized, and the work efficiency has been improved. A reasonable day surgery information platform construction can help to optimize the daytime surgical procedure and promote the smooth development of day surgery.