ObjectiveTo investigate the medical knowledge and treatment compliance of parents of asthma children in Gaoming District, Foshan City. MethodOne hundred consecutive parents of asthma children who sought pediatric service in Gaoming People's Hospital from January to December in 2012 were surveyed by the use of Knowledge-Belief-Behavior Questionnaire developed by Capital Research Center of Pediatrics. ResultsNinety-five of the one hundred questionnaires provided useful data for analysis. Among these parents, 63.18% understood the nature of asthma being hyperactive inflammatory disease of the airways; 78.91% believed it to be controllable by regular treatment; only 21.05% of asthma children under parental guidance received inhaled corticosteroids on a regular basis; 14.74% considered their children fit for physical exercises when stabilized; 22.10% chose inhaled β2 agonists as "relievers" during attacks; 61.05% were concerned about the side effects on growth of inhaled corticosteroids and 48.42% discontinued its use against physician's instruction; 82.11% of asthma children had not been evaluated by Asthma Control Questionnaire. ConclusionsParents of asthma children in Gaoming District, Foshan City have weak links in the understanding of this condition. Though most believe it to be controllable under regular treatment, the overall compliance is unsatisfactory. Therefore, knowledge of asthma should be propagated at various public fronts in order to better improve the treatment compliance and consequently the disease control, of asthma children.
Objective To explore the inducing factors, the serum total immunoglobulin E (IgE) and specific IgE of bronchial asthma in Mianyang children, for better control of childhood asthma. Methods A total of 1 288 cases of asthma who were hospitalized in pediatric respiratory ward or asthma clinic from March 2013 to February 2016 were enrolled in the study. All cases complied with the diagnostic criteria for acute episode of childhood bronchial asthma revised in 2008 by the National Children’s Asthma Cooperative Group. The causes of asthma attack were asked by doctors, and the patient’s serum total IgE and specific IgE was tested. Results Respiratory tract infections were the most common cause (1 057 cases, 82.1%), which was followed by weather changes and exposure to cold air (694 cases, 53.9%), and then food (304, 23.6%). The risk of asthma induced by respiratory infections was highest in <2-year old group (358 cases, 97.5%), and lowest in 10-14-year old group (42 cases, 33.3%), with a decreasing trend with age (χ2trend=239.865, P<0.001). Food was also an important inducing factor, and seafood was the most frequent (121 cases, 39.8%). Total serum IgE was positive in 868 cases (67.4%). The positive rate in <2-year old group (52.6%) was the lowest, and the positive rate in 10-14-year old group (89.7%) was the highest, with an increasing trend with age (χ2trend=88.055, P<0.001). Serum specific IgE was positive in 733 cases (56.9%). The positive rate in <2-year old group (37.1%) was the lowest, and the positive rate in 10-14-year old group (92.6%) was the highest, with an increasing trend with age (χ2trend=150.361, P<0.001). The progressive rate of dust mites in inhalation and dietary allergens was highest (668 cases, 51.8%), which was followed by house dust (431 cases, 33.4%). Conclusions The most common inducing factor for bronchial asthma in Mianyang children is respiratory tract infection, followed by the weather changes and cold air exposure, and then food. Detection of serum total IgE and specific IgE is more valuable in elderly children with bronchial asthma.
Objective To analyze the causal relationship between gut microbiota and childhood asthma based on Mendelian randomization (MR). Methods The human gut microbiota dataset was downloaded from the MiBioGen database, and 196 known bacterial groups (9 phyla, 16 classes, 20 orders, 32 families, and 119 genera) were retained as exposure factors. Single nucleotide polymorphisms (SNPs) that were strongly correlated with exposure factors and independent of each other were selected as effective instrumental variables. A childhood asthma dataset with 3 025 patients and 135 449 controls was downloaded from the genome-wide association studies database as the outcome variable. Two-sample MR analysis was performed using inverse variance weighted, weighted median, MR-Egger, weighted model and simple model methods, respectively. The causal association between gut microbiota and childhood asthma was evaluated by odds ratio (OR). Sensitivity analysis was performed by leave-one-out method. Horizontal pleiotropy was tested by MR-Egger intercept test and MR-PRESSO global test, and Cochran’s Q test was used for heterogeneity. Results A total of 15 out of 196 gut microbiota groups were found to have a causal association (P<0.05) with the risk of childhood asthma, with a total of 181 SNPs included in the analysis. Inverse variance weighted analysis showed that Mollicutes [OR=1.42, 95% confidence interval (CI) (1.10, 1.83), P=0.007], Escherichia-Shigella [OR=1.39, 95%CI (1.02, 1.90), P=0.036], Oxalobacter [OR=1.30, 95%CI (1.10, 1.54), P=0.002], Ruminococcaceae UCG-009 [OR=1.34, 95%CI (1.09, 1.64), P=0.006] and Tenericutes [OR=1.42, 95%CI (1.10, 1.83), P=0.007] were significantly positively correlated with childhood asthma. Actinobacteria [OR=0.76, 95%CI (0.58, 0.99), P=0.042], Bifidobacteriaceae [OR=0.76, 95%CI (0.58, 0.98), P=0.035], Eubacterium nodatum group [OR=0.81, 95%CI (0.70, 0.94), P=0.007], Bifidobacterales [OR=0.76, 95%CI (0.58, 0.98), P=0.035] and Actinobacteria [OR=0.74, 95%CI (0.56, 0.99), P=0.040] were negatively correlated with childhood asthma. In addition, the results of leave-one-out sensitivity analysis were stable, MR-Egger intercept test and MR-PRESSO global test showed no horizontal pleiotropy, and Cochran’s Q test showed no heterogeneity. Conclusions There is a causal relationship between gut microbiota and childhood asthma. Mollicutes, Escherichia-Shigella, Oxalobacter, Ruminococcaceae UCG-009 and Tenericutes may increase the risk of childhood asthma. Actinobacteria, Bifidobacteriaceae, Eubacterium nodatum group, Bifidobacterales and Actinobacteria can reduce the risk of childhood asthma.