Objective To investigate whether FTO gene SNP polymorphisms were associated with metabolic traits in Chinese children. Methods A total of 595 children aged between 6 and 17 years were enrolled. The five common SNPs in the FTO gene(rs1421085,rs17817449,rs8050136,rs3751812 and rs9939609)were genotyped. Metabolic compo-nents and insulin were measured. Results (1)The obese patients showed the components of the metabolic traits were significant difference compared to control group.(2)The allele frequency and the genotype distribution of the five SNPs were significant differences between two groups. Minor allele carriers of the five SNPs were associated with increased risks of childhood obesity compared with the wild-type genotype. (3)After adjustment of age, sex and BMI-z score,all of the five SNPs showed a trend towards higher SBP. In addition, rs3751812 and rs8050136 showed significant as-sociation with LDL-C and HOMA-IR levels. Conclusion The five common SNPs in the FTO gene contributes to the e-tiology of obesity and hypertension. The FTO gene polymorphisms (rs3751812 and rs8050136)are found to be associ-ated with increased insulin resistance and plasma LDL levels.

Objective? To investigate the feasibility of Modified Early Warning Score (MEWS) in evaluating the condition of emergency patients and as a basis for emergency triage. Methods? A total of 1 643 patients in the Rescue Room of Emergency Department of Suzhou Integrated Traditional Chinese and Western Medicine Hospital were selected by convenience sampling method from 11th April 2016 to 2nd August 2017. All patients were followed up, and MEWS of patients with different directions were compared. The area under the curve of MEWS and Yoden index were calculated by ROC curve to predict the mortality of patients. Comparing the MEWS of patients in general wards and ICU, the area under the curve of the MEWS was predicted by ROC curve, and the critical value was selected by Yoden index. Results? There were 475 cases discharged, 326 cases observed in hospital, 768 hospitalized (101 cases were admitted to ICU, 667 cases were admitted to general wards) and 74 cases died. There was significant difference in MEWS among the four groups (H=236.45, P＜0.001). When the best critical point was 3.5 of MEWS, the area under ROC curve for predicting death was 0.910, 95%CI (0.87-0.95), and Yoden index was 0.72. There was significant difference in MEWS between patients admitted to general wards and ICU (Z=-9.005, P＜ 0.001). When picking 2.5 of MEWS as the best critical point, the area under the ROC curve for predicting ICU admission was 0.786, 95%CI (0.73-0.85), and the Youden index was 0.50. Conclusions? The MEWS has clinical significance in predicting the death of emergency patients and assessing the severity of patients. It provides an objective basis for the correct shunt of emergency patients and the correct identification of potentially critically ill patients.