Objective: To explore the value of Hisense computer-assisted surgical systems (CAS) for precise surgery of pediatric solid pseudopapillary tumor. Methods: A total of 5 cases with pancreatic solid pseudopapi-llary tumor who were admitted at the Affiliated Hospital of Qingdao University from June 2015 to September 2018 were adopting.Upper abdominal 64-slice dynamic enhanced computed tomography (CT) scan was performed.3D models were created by computer-assisted surgery systems.Based on 3D model, surgical planning, preoperative simulated tumor resection, intraoperative assisted guidance were performed.Operation time, intraoperative blood loss volume, blood transfusion rate were analyzed. Results: Hisense CAS three-dimensional reconstruction could clearly show the adjacent relationship between pancreas, tumor and peripheral vascular organs.According to the preoperative virtual resection, pancreatic tumor resection was more accurate.Postoperative pathological results were solid pseudopapillary tumor of the pancreas.Among them, 2 tumors were located in the head of the pancreas, 1 case was located in the pancreatic neck, and 2 cases in the tail of the pancreas.The operation time was 150-360 min, with an average of 279 min.The average intraoperative blood loss was 40 mL, of which the minimum amount of bleeding was 5 mL, and the blood transfusion rate was 40%(2/5 cases). Surgical tumor removal was achieved successfully in 5 cases.All children were followed up for 6 months to 3 years, and no recurrence or metastasis was observed. Conclusions Three-dimensional reconstruction of computer-assisted surgery system can clearly show the adjacent relationship between tumor and surroun-ding vascular organs, and help to make the best surgical plan before surgery to improve the accuracy and safety of the operation.

Objective: To understand the etiological characteristics of bacterial diarrhea in different areas, including large cities, mid-sized/small cities and rural area, in China. Methods: A cross-sectional surveillance was conducted in 17 provinces of China from 2010 to 2014. The acute diarrhea outpatients were selected from clinics or hospitals in large cities, mid-sized/small cities, including rural-urban fringe zones, and rural areas. The demographical and clinical characteristics of the patients were collected by using questionnaire, and stool samples were taken from them for laboratory detection of 17 kinds of bacteria. The differences in pathogen positive rates (PPR) and pathogen spectrum across the cases from three-type areas were compared. The different infection risk in different cases were analyzed with unconditional logistic regression model. Results: In our study, we enrolled 9 253 cases from large cities, 5 138 cases from rural areas and 13 683 cases from midsized/small cites. The pathogen with largest differences in infection rate across the three-type areas was Shigella (S.) flexneri (rural area: 5.81%, mid-sized/small city: 2.78%, large city: 0.46%), followed by Aeromonas (A.) hydrophila (rural area: 2.14%, mid-sized/small city: 0.96%, large city: 0.48%). Compared with cases in large cities, the cases in mid-sized/small cities and rural areas had higher infection risks for S. flexneri (mid-sized/small city: OR=6.481, 95%CI: 4.666-9.002, rural area: OR=11.304, 95%CI: 8.018-15.938) and A. hydrophila (mid-sized/small city: OR=1.992, 95%CI:1.401-2.832, rural area: OR=4.083, 95%CI: 2.833-5.884). The constituent ratio of diarrheagenic Escherichia coli and Salmonella increased with the urbanization development, while the ratios of Shigella and A. hydrophila had an opposite trend. S. sonnei (60.00%) was the predominant serogroup of Shigella in urban infections, while S. flexneri (77.37%) was the predominant serogroup in rural infections. Conclusion: The differences in pathogen spectrum of bacterial diarrhea were obvious across large cities, mid-sized/small cities and rural areas in China, especially the differences in the infection rates of S. flexneri and A. hydrophila.
Adolescent ; Adult ; Bacterial Infections/microbiology* ; Child ; China/epidemiology* ; Cross-Sectional Studies ; Diarrhea/microbiology* ; Dysentery/epidemiology* ; Escherichia coli/pathogenicity* ; Feces/virology* ; Female ; Humans ; Male ; Middle Aged ; Prevalence ; Rural Population ; Salmonella/pathogenicity* ; Shigella/pathogenicity* ; Suburban Population ; Urban Population

The metabolic syndrome, by definition, is not a disease but is a clustering of individual metabolic risk factors including abdominal obesity, hyperglycemia, hypertriglyceridemia, hypertension, and low high-density lipoprotein cholesterol levels. These risk factors could dramatically increase the prevalence of type 2 diabetes and cardiovascular disease. The reported prevalence of the metabolic syndrome varies, greatly depending on the definition used, gender, age, socioeconomic status, and the ethnic background of study cohorts. Clinical and epidemiological studies have clearly demonstrated that the metabolic syndrome starts with central obesity. Because the prevalence of obesity has doubly increased worldwide over the past 30 years, the prevalence of the metabolic syndrome has markedly boosted in parallel. Therefore, obesity has been recognized as the leading cause for the metabolic syndrome since it is strongly associated with all metabolic risk factors. High prevalence of the metabolic syndrome is not unique to the USA and Europe and it is also increasing in most Asian countries. Insulin resistance has elucidated most, if not all, of the pathophysiology of the metabolic syndrome because it contributes to hyperglycemia. Furthermore, a major contributor to the development of insulin resistance is an overabundance of circulating fatty acids. Plasma fatty acids are derived mainly from the triglycerides stored in adipose tissues, which are released through the action of the cyclic AMP-dependent enzyme, hormone sensitive lipase. This review summarizes the latest concepts in the definition, pathogenesis, pathophysiology, and diagnosis of the metabolic syndrome, as well as its preventive measures and therapeutic strategies in children and adolescents.

Objective: Through analyzing the epidemiological characteristics of hepatitis A and E and the situation of vaccination, to promote the recommendation profile on Hepatitis E vaccination program, in China. Methods: Three phases of time span were divided as 2004-2007, 2008-2011 and 2012-2015, with age groups divided as <20, 20-29, 30-39 and ≥40. Incidence rates in both different phases and age groups were compared. Numbers of Hepatitis A and E vaccines released and used, were described. Results: Between 2004 and 2015, a declining trend in the reported incidence of hepatitis A (t=-12.15, P<0.001), but an increasing trend in hepatitis E (t=6.63, P<0.001) were noticed. The mean number of hepatitis A cases declined from 6 515 to 1 986 between 2004 and 2007 while the number of hepatitis E cases increased from 1 491 to 2 277 between 2012 and 2015. The peaks of hepatitis E appeared persistent annually, in March. The incidence of hepatitis A declined in three regions, with the western region (3.46/100 000) much higher than the eastern (1.13/100 000) or central regions (1.14/100 000) (χ(2)=32 630, P<0.01). The incidence of hepatitis E increased both in the central (1.74/100 000) and western regions (1.58/100 000), but more in the eastern region (2.66/100 000) (χ(2)=6 009, P<0.01). Incidence of hepatitis A declined in all age groups and declined by 84.36% among the 0-19 group. However, the incidence of hepatitis E showed an increasing trend among the ≥20 group. Incidence rates appeared higher in the older age groups. The coverage of hepatitis A vaccine increased from 62.05% to 93.54%, but with a negative association seen between the coverage of Hepatitis A vaccine and the incidence (F=10.69, χ(2)<0.05). Conclusion: The incidence of Hepatitis A declined sharply in China while hepatitis E was still increasing from 2004 to 2015, calling for the expansion on the coverage of Hepatitis E vaccine in the whole population.
Adolescent ; Adult ; Aged ; China/epidemiology* ; Health Care Surveys ; Hepatitis A/epidemiology* ; Hepatitis A Vaccines/administration & dosage* ; Hepatitis E/epidemiology* ; Humans ; Immunization/statistics & numerical data* ; Immunization Programs ; Incidence ; Middle Aged ; Population Surveillance ; Vaccination/statistics & numerical data* ; Young Adult

Objective: To understand the epidemiological and etiological characteristics of mumps in Fujian province, 2005-2017. Methods: All the reported mumps cases were collected through the National Notifiable Disease Information Management System, 2005-2017. Active search and interviews were conducted to collect the information on vaccination of mumps. Throat swab specimens were collected for cells culture, genotyping and gene sequence analysis on mumps virus (MuV). Results: A total of 83 959 cases of mumps were reported in Fujian province from 2005 to 2017, with an average annual incidence of 17.6 per 100 000. Since 2007, the incidence appeared increasing but then decreasing, reaching the lowest level (7.5 per 100 000), after the setup of a monitoring program. Annually, the onset time of mumps showed an obvious two seasonal peaks, one from April to July, with a weakening trend, and the other from October to January with a rising trend. Most of the mumps cases occurred among students, kindergarten and scattered children (89.2%, 5 814/6 517), children aged 5-9 years (38.8%, 2 527/6 517), with cases reported from every region. Program from the pathogen surveillance showed that the transmission chain of G genotype mumps virus did exist in Fujian. Data from the sequence analysis revealed that mutations in the nucleotide of G genotype strain in 2015 had led to mutation of 6 amino acid sites in the SH gene coding region, resulting in the differences appearing in both nucleotide and amino acid homology with type A vaccine strain. Conclusions: The incidence of mumps decreased annually, in Fujian. Prevention programs should focus on primary and secondary school students. In Fujian province, we also noticed the transmission chain of mumps G genotype with some amino acid mutations in the SH gene coding region. Monitor programs on both epidemiologic and etiology, should be strengthened.
Child ; Child, Preschool ; China/epidemiology* ; Genotype ; Humans ; Incidence ; Mumps/epidemiology* ; Mumps virus/pathogenicity* ; Phylogeny ; Sequence Analysis

Intestinal adaptation is a spontaneous compensation of the remanent bowel after extensive enterectomy, which improves the absorption capacity of the remanent bowel to energy, fluid and other nutrients. Intestinal adaptation mainly occurs within 2 years after enterectomy, including morphological changes, hyperfunction and hyperphagia. Intestinal adaptation is the key factor for patients with short bowel syndrome to weaning off parenteral nutrition dependence and mainly influenced by length of remanent bowel, type of surgery and colon continuity. In addition, multiple factors including enteral feeding, glucagon-like peptide 2 (GLP-2), growth hormone, gut microbiota and its metabolites regulate intestinal adaptation via multi-biological pathways, such as proliferation and differentiation of stem cell, apoptosis, angiogenesis, nutrients transport related protein expression, gut endocrine etc. Phase III clinical trials have verified the safety and efficacy of teduglutide (long-acting GLP-2) and somatropin (recombinant human growth hormone) in improving intestinal adaptation, and both have been approved for clinical use. We aim to review the current knowledge about characteristics, mechanism, evaluation methods, key factors, clinical strategies of intestinal adaptation.
Humans ; Adaptation, Physiological ; Glucagon-Like Peptide 2/therapeutic use* ; Intestines/surgery* ; Parenteral Nutrition ; Short Bowel Syndrome/surgery*

Objective: To explore the SNP effects of patatin-like phospholipase domain which containing 3 (PNPLA3), transmembrane 6 superfamily member 2 (TM6SF2) gene, environmental effects of smoking, alcohol drinking and interaction between gene-gene, gene-environment and drinking-smoking on hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC). Methods: We collected anticoagulant peripheral blood from patients of HBV-HCC, chronic hepatitis B (CHB), liver cirrhosis (LC) and from healthy controls to detect the single nucleotide polymorphism (SNP) of patatin-like phospholipase domain containing 3 (PNPLA3) gene loci rs738409 and transmembrane 6 superfamily member 2 (TM6SF2) gene loci rs58542926, using the flight mass spectrometry method. The optimal assignment value of gene polymorphisms was defined by using the online SNP stats. Hardy-Weinberg (H-W) balance was tested for SNP. Effects of the genetic and environmental factors to HBV-HCC were analyzed by using the multiple classification logistic regression method. The gene-gene, gene-smoking and alcohol drinking interaction effects were investigated by Fork-Life analysis and binary logistic regression methods. Results: The frequency distribution of CHB group rs738409 loci seemed not in conformity with the H-W balance (χ(2)=11.980, P<0.005). Two loci frequency distributions in the other groups were all in accordandce with the H-W balance. After adjusting for influences on age and sex and comparing to the healthy group, the rs58542926 mutation appeared as OR=1.659, 95%CI: 1.026-2.684, P=0.039, in the HBV-HCC group. When comparing to CHB group, the HBV-HCC group presented that drinking as OR=1.680, 95%CI: 1.121-2.519, P=0.012. When comparing to the LC group, the ORs of drinking and smoking were 1.539 (1.071-2.213) and 1.453 (1.005-2.099) respectively, in the HBV-HCC group. When comparing to the CHB+LC group, interactions between the HBV-HCC group were found rs738409 and rs58542926 on additive model OR=1.548 (U=1.885, P=0.029) and OR=1.658 (P=0.024) on logistic regression model while drinking was rs738409 on interaction additive model with OR=1.811(U=1.965, P=0.024). As for drinking and mutation of rs738409, the multiplication model of logistic regression showed no statistically significant differences. Interaction between smoking and drinking appeared as OR=1.756 (P<0.001) in the logistics regression multiplication model. Conclusions: Factors as mutation of TM6SF2, smoking and drinking all appeared as risk factors for HBV-HCC. Mutations of both PNPLA3 and TM6SF2, together with smoking and drinking all served as risk factors for HBV-HCC. However, the mutation of single PNPLA3 appeared as a protective factor on HBV-HCC.
Alcohol Drinking/adverse effects* ; Carcinoma, Hepatocellular/virology* ; Case-Control Studies ; Epistasis, Genetic ; Gene-Environment Interaction ; Genetic Predisposition to Disease ; Genotype ; Hepatitis B virus ; Hepatitis B, Chronic ; Humans ; Lipase/genetics* ; Liver Cirrhosis, Alcoholic/complications* ; Liver Neoplasms/virology* ; Membrane Proteins/genetics* ; Polymorphism, Single Nucleotide ; Smoking/adverse effects*

Humans ; Immunoglobulin G ; Lymphadenopathy ; Diagnosis, Differential

Humans ; Mesothelioma, Malignant/diagnosis* ; Diagnosis, Differential ; Adenocarcinoma/pathology* ; Mesothelioma/pathology* ; Lung Neoplasms/pathology* ; Biomarkers, Tumor ; Pleural Neoplasms/diagnosis* ; Extracellular Matrix Proteins

Objective: To understand the relationship between AOX1, IRF4 gene methylation status in peripheral blood leukocyte DNA, as well as its interaction with environmental factors, and the risk of breast cancer. Methods: A case-control study was conducted among 401 breast cancer patients and 555 cancer-free controls selected from 2010 to 2014. Methylation sensitive-high resolution melting curve analysis was used to detect the methylation status of AOX1 and IRF4. The multiplication interaction effect between genes' methylation and environmental factors on the risk of breast cancer was analyzed by using unconditional logistic regression, and Excel software was used to analyze the additive interaction effect. Results: Individuals without AOX1 methylation had a 1.37-fold (95%CI: 1.02-1.84) higher breast cancer risk compared to individuals with AOX1 methylation. AOX1 methylation interacted with fungi intake (OR=2.06, 95%CI: 1.12-3.79) and physical activity (OR=2.18, 95%CI: 1.16-4.09) synergistically, on the risk for breast cancer, but no additive interaction effects were observed. Non-methylation of IRF4 could increase the risk for breast cancer, with statistical significance (OR=1.71, 95%CI: 0.99-7.43). Neither multiplication nor additive interactions were observed between IRF4 methylation and environmental factors. Conclusion: Non-methylation of AOX1 and IRF4 were a risk factors for breast cancer.
Aldehyde Oxidase/genetics* ; Breast Neoplasms/genetics* ; Case-Control Studies ; DNA Methylation/genetics* ; Female ; Genetic Predisposition to Disease ; Humans ; Interferon Regulatory Factors/genetics* ; Leukocytes/metabolism*