OBJECTIVE:To observe the effect of Bilobalide on ischemical reperfusion injury in orthotopic liver transplantation model rats and to discuss its protective effect on ischemical reperfusion injury of rats undergoing liver transplantation.METHODS:The model of orthotopic liver transplantation was established by in rats by setting up the bridge between portal vein and left renal vein and building blood bypass by inlaying of canal in the inferior vena,after modeling,the rats were treated with Bilobalide,then levels of NO(active medium of blood vessel)and ET1 before ischemia and at 10 min,30min and 2h after reperfusion were determined by nitratase reduction method;serum levels of ALT,AST,ALP,LDH enzymology,ATP and MDA in the liver tissues were determined as well.The hepatic tissue sample was taken at 2h and fixed with formalin to be made into specimen for observation of the ultrastructure of liver cells and hepatic lobules under electron microscope.RESULTS:After being treated by Bilobalide,serum NO level was elevated and the pathological elevated levels of ALT,AST and LDH were brought down,the microcirculation in ischemical reperfusion injury rats was improved and the extent of damage in the ultrastructure of liver cells was lessened in rats.CONCLUSION:Bypass of portal vein and inferior vena cava prior liver transplantation is helpful for the prevention of ischemical reperfusion injury of liver.The balance of NO/ET1 is possibly a factor influencing the blood flow in the microcirculation of transplanted liver.Bilobalide was proved to be of protective effect on ischemical reperfusion injury in rats.

Objective To study the distribution of diseases in Medical Information Mart for Intensive Care Ⅲ(MIMIC-Ⅲ) database in order to provide reference for clinicians and engineers who use MIMIC-Ⅲ database to solve clinical research problems. Methods The exploratory data analysis technologies were used to explore the distribution characteristics of diseases and emergencies of patients (excluding newborns) in MIMIC-Ⅲ database were explored; then, neonatal gestational age, weight, length of hospital stay in intensive care unit (ICU) were analyzed with the same method. Results In the MIMIC-Ⅲ database, 46 428 patients were admitted for the first time, and 49 214 ICU records were recorded. There were 26 076 males and 20 352 females; the median age was 60.5 (38.6, 75.6) years, and most patients were between 60 and 80 years old. The first diagnosis in the disease spectrum analysis was firstly ranked by circulatory diseases (32%), followed by injury and poisoning (14%), digestive system disease (8%), tumor (7%), respiratory disease (6%) and so on. Patients with ischemic heart disease accounted for the largest proportion of circulatory disease (42%), the proportion of these patients gradually increased with age of 60-70 years old, then decreased. However, the proportion of patients with cerebrovascular disease declined first and then increased with age, which was the main cause of death of circulatory system disease (ICU mortality was 22.5%). Injury and poisoning patients showed a significant decrease with age. Digestive system diseases were younger than the general population (most people aged between 50 to 60 years), and non-infectious enteritis and colitis were the main causes of death (ICU mortality was 18.3%). Respiratory infections were predominant in infected patients (34%), but circulatory system infections were the main cause of death (ICU mortality was 25.6%). Secondly, in the neonatal care unit, premature infants accounted for the vast majority (82%). As the gestational age increased, the duration of ICU was decreased, and the mortality was decreased. Conclusions The diseases distribution of patients can be provided by MIMIC-Ⅲ database, which helps to grasp the overview of the volume and age distribution of the target patients in advance, and carry out the next step of research. Meanwhile, it points out the important role of exploratory data analysis in electronic health records analysis.

Objective: To investigate the relationship between axial length (AL)elongation and the progression of spherical equivalent refraction (SER) and its influential factors in school-aged children with myopia based on machine learning (ML). Methods: A cross-sectional study evaluated 1 011 eyes of school-aged myopic children admitted to the optometry center of Peking University People's Hospital from January 2017 to December 2018, and data from the right eyes were used for analysis.All the collected data were used to train ML algorithms.When building predictive models, the input features included age, gender, central corneal thickness (CCT), mean K readings (K-mean), horizontal visible iris diameter (HIVD), lens power, and axial length (AL), and the output parameter was SER.A five-fold cross validation scheme randomly divided all the data into five groups, of which four were used as training data, and one group was used as validation data.This process was repeated five times so that all the data were validated by this model, which allowed a better prediction of the overall sample.The prediction accuracy of different models was evaluated by the R-value and R².The best-performing algorithm was applied to investigate the relationship between AL elongation and the progression of SER and its influencing factors.Written informed consent was obtained from each guardian of each patient prior to entering the study cohort.This study followed the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Peking University People's Hospital (No.2019PHB280-01). Results: In the comparison of the R-value and R² of six ML algorithms based on five-fold cross validation, among all models, the best was the quadratic SVM regression model, with an R-value and R² of 0.99 and 0.98, respectively.The results of Pearson correlation analysis showed that lens power was negatively correlated with age (r=-0.301, P<0.01). According to the results calculated by the Bennett-Rabbetts formula, the average lens power of the 6-year-old myopic group was higher than that of the 18-year-old myopic group.According to this model, the SER change caused by AL elongation was not a constant value, which was estimated from plano to nearly -3.00 D, depending mainly on the time needed for 1-mm AL elongation.According to the results calculated by this model, the longer it took for the AL to grow by 1 mm, the smaller the corresponding SER change.In myopic children over an age span of one year, for example, from 6-7 years or 12-13 years, 1-mm elongation of the AL corresponded to -2.50 D and -2.33 D of SER change, respectively.Over a three years span, for example, from 6-9 years, a 1-mm elongation of the AL corresponded to -1.77 D of SER change. Conclusions For myopic children, the longer the age span required for 1-mm elongation of the AL, the smaller the SER change.An ML algorithm can provide clinical practitioners with a relatively precise estimation for the relationship between AL elongation and myopia progression.