Objective To investigate influence factors of childhood essential hypertension and provide scientific evidence for prevention and management of the disease. Methods Relevant studies were searched using PubMed, ISI Web of Knowledge, Ovid, CNKI and VIP from January 2007 to December 2011. STATA 11 was applied for meta-analysis. After heterogeneity analysis, influence factors (OR with 95%CI) were estimated using fixed or random effect models. Sensitivity analyses were used for evaluating the robustness of the results. Publication bias was assessed by Egger’s test and funnel plot. Results A total of 13 studies involving 4 278 cases and 37 230 controls were included. The pooled OR and its 95%CI of different factors associated with hypertension among children were: gender (male) 1.283 (1.063 to 1.549), age 1.013 (0.975 to 1.052), overweight 2.622 (1.985 to 3.464), obesity 3.730 (2.299 to 6.051), waist circumstance 1.060 (1.036 to 1.085), family history 1.189 (0.956 to 1.480), and frequency of physical activities 0.584 (0.460 to 0.742). Conclusion Current results indicate that gender (male), overweight, obesity, waist circumstance are risk factors of hypertension among children, while frequency of physical activities is protective factor.
ObjectiveTo explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). MethodsA systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed databases up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS), and the risk of bias and applicability of included prediction model studies were assessed by the prediction model risk of bias assessment tool (PROBAST).ResultsA total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than VOCs, including forced expiratory flow at 75% of forced vital capacity (FEF75) and modified Medical Research Council scale for the assessment of dyspnea (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high bias risk, and the overall applicability was unclear. ConclusionThe exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.