Chronic heart failure （CHF） is a major global public health problem， and myocardial infarction is one of its main causes. The mouse model of heart failure induced by coronary artery ligation is widely used in the study of CHF， while the TCM syndrome attributes of this model have not yet been clarified. According to the theory of correspondence between prescriptions and syndromes， the method of syndrome identification by prescription efficacy is an important means of current syndrome research of animal models. This method deduces the syndrome characteristics of animal models through prescription efficacy. Taking the four basic syndrome elements of Qi， blood， Yin and Yang as the classification reference， this study used coronary artery ligation to construct a mouse model of CHF and treated the model with four representative TCM injections with the effects of replenishing Qi， warming Yang， nourishing Yin， and activating blood and enalapril. Echocardiography， tongue color parameters， histopathology， serum N-terminal pro-brain natriuretic peptide （NT-proBNP） and cardiac troponin Ⅰ （cTnⅠ） levels， and systematically explored the TCM syndrome attributes of this model. The results showed that the coronary ligation model presented an obvious cardiac function decline， myocardial fibrosis， infarct size expansion， and purple dark tongue， which were consistent with the basic syndrome characteristics of blood stasis in CHF. Danhong injection had significant effects of improving the cardiac function， alleviating myocardial fibrosis， and reducing serum NT-proBNP and cTnⅠ levels. Huangqi Injection and Shenfu injection can improve the cardiac function and tongue color parameters， with limited effects. The effect of Shenmai injection group was not obvious. This study verifies that the established model conforms to blood stasis syndrome through the method of syndrome identification by prescription efficacy， which provides an experimental basis for the study of TCM syndrome mechanism of CHF.

Diagnosis and treatment of hepatitis B virus (HBV) infection in children is a hotspot of concern in the field of HBV infection. This article reviews the current status and progress of antiviral treatment for children with chronic hepatitis B (CHB) in recent years, focusing on clinical issues such as the choice of antiviral treatment regimen for children with HBeAg-positive CHB (immune-clearance phase), the necessity of antiviral treatment for children with HBeAg-positive HBV infection (immune-tolerance phase), and the timing of antiviral treatment for infants with HBV infection, to explore the relevant factors that may affect the clinical cure of children with CHB. At the same time, based on the expert consensus on the prevention and treatment of children with CHB just published by Chinese experts, relevant diagnosis and treatment plans are proposed, with a view to providing reference and basis for clinical decision-making in children with CHB.

Whether or not children with chronic hepatitis B (CHB) in the immune-tolerant phase need to be treated is one of the hot clinical issues that have not yet been clarified. Thus, in order to make clinical antiviral treatment decisions in children with an immune tolerant phase, a comprehensive understanding of the natural history of HBV infection, as well as its relationship with disease progression and whether prompt treatment can alter the natural history and prognosis, is very important. To that end, this article reviews the research progress of clinical antiviral therapy in the immune-tolerant phase for children with chronic hepatitis B over the last decade, while also discussing the treatment's safety, effectiveness, and related immunological mechanisms, so as to clarify the next key step in research orientation, provide direct evidence-based medical evidence for hepatologists to better diagnose and treat, and ultimately improve the clinical cure rate.

The aim of this study was to identify novel prognostic mRNA and microRNA (miRNA) biomarkers for hepatocellular carcinoma (HCC) using methods in systems biology. Differentially expressed mRNAs, miRNAs, and long non-coding RNAs (lncRNAs) were compared between HCC tumor tissues and normal liver tissues in The Cancer Genome Atlas (TCGA) database. Subsequently, a prognosis-associated mRNA co-expression network, an mRNA–miRNA reg-ulatory network, and an mRNA–miRNA–lncRNA regulatory network were constructed to identify prognostic biomarkers for HCC through Cox survival analysis. Seven prognosis-associated mRNA co-expression modules were obtained by analyzing these differentially expressed mRNAs. An expression module including 120 mRNAs was significantly corre-lated with HCC patient survival. Combined with patient survival data, several mRNAs and miRNAs, including CHST4, SLC22A8, STC2, hsa-miR-326, and hsa-miR-21 were identified from the network to predict HCC patient prognosis. Clinical significance was investigated using tissue microarray analysis of samples from 258 patients with HCC. Functional annotation of hsa-miR-326 and hsa-miR-21-5p indicated specific associations with several cancer-related pathways. The present study provides a bioinformatics method for biomarker screening, leading to the identification of an integrated mRNA–miRNA–lncRNA regulatory network and their co-expression patterns in relation to predicting HCC patient survival.

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 provide reference for the development and improvement of pharmaceutical care in our hospital. METHODS:By questionnaire investigation,habits and understarding situation and demand of knowledge of drug use among pa-tients in our hospital were randomly collected by face-to-face interview or network platform. A statistical analysis was carried out on obtained results. RESULTS:In this questionnaire investigation,289 questionnaires were sent out face-to-face,and 282 valid ques-tionnaires were returned with effective feedback rate of 97.58%. Totally 51 valid questionnaires were returned through network plat-form. A total of 333 valid questionnaires were returned through two ways. The results of questionnaire investigation showed that 44.14% of the surveyed patients would read the drug instructions before taking drugs;41.14% of the surveyed patients would pay more attention to ADR and cautions stated in drug instructions. More than 60% of the surveyed patients had various bad habits of drug use. When getting better,66.07% of the surveyed patients would stop using drugs or reduce the dosage. When having not im-proved,26.73% of them would change drugs or increase dosage.Consulting with the medical staff was the most common source(69.07%)of drug use knowledge,and it was also the most trusted source(84.08%). Among the knowledge of drug use, surveyed patients most expected to understand theADR and side effects(65.46%),and the selectionindication and main us-er,cautions,drug interaction in multiple useandusage and dosagewere also selected frequently,and the choices of some options were significantly affected by the characteristics of people,such as age and education degree(P<0.05). The most expected way to acquire drug use knowledge wasface-to-face consultation with medical staff (72.97%),followed bytelephone consulta-tionandnetwork consultation,and the choices of some options were significantly affected by the characteristics of people,such as age and education (P<0.05). CONCLUSIONS:Patients in our hospital haven't pay enough attention to drug instructions and their content,and bad habits of drug use still exist. Sources of drug use knowledge are diverse,but confidence of other sources is not enough except for source of medical staff. The demands for the knowledge of drug use are different,however,the present form and content of pharmaceutical care in our hospital cannot fully meet the needs of patients.