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目的探讨健康体检人群血尿酸(SUA)水平与代谢综合征(MS)各组分的相关性,为慢性代谢性疾病防治提供科学依据。方法选择2012年6月至2013年12月来本院体检且资料完整的9 561名健康体检者为研究对象,测量体重、身高、收缩压(SBP)、舒张压(DBP),测定空腹血糖(FPG)、总胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)、血尿酸(SUA)和血肌酐(SCr)水平,计算体质指数(BMI)和肾小球滤过率(GFR)。采用Spearman相关及logistic回归分析SUA与MS及其组分的相互关系。结果体检人群中HUA的总检出率为15.68%,男性为19.97%,女性为7.65%。高尿酸血症组(HUA组,1 499例)SBP、DBP、FPG、TC、TG、LDL-C、SCr水平及BMI均明显高于SUA正常组(NUA组,8 062例),年龄、HDL-C及GFR水平明显低于NUA组,高血压、超重或肥胖、血脂紊乱的检出率明显高于NUA组,差异均有统计学意义(P<0.01)。Spearman相关分析显示,SUA水平与SBP、DBP、BMI、FPG、TG、TC、LDL-C和SCr水平呈正相关(r值分别为0.214、0.263、0.386、0.110、0.405、0.143、0.160和0.395),与HDL-C、GFR呈负相关(r值分别为-0.141和-0.136),均有统计学意义(P<0.01)。多因素logistic回归分析显示,超重或肥胖、血脂紊乱及男性均可使HUA风险明显增加(OR值分别为1.961、2.484、2.184,P<0.01);HUA亦是MS的危险因素(OR=1.792,95%CI:1.541~2.085)。结论体检人群中HUA检出率高,且SUA水平与MS各组分关系密切,可能成为MS筛查及风险预测的有效指标。
Objective To investigate the correlation between serum uric acid (SUA) level and metabolic syndrome (MS) in healthy physical examination population, and to provide a scientific basis for the prevention and treatment of chronic metabolic diseases. Methods A total of 9 561 healthy physical exams from our hospital from June 2012 to December 2013 were enrolled in this study. Body weight, height, systolic blood pressure (SBP), diastolic blood pressure (DBP) and fasting blood glucose FPG, TC, TG, LDL-C, HDL-C, SUA and SCr levels , Body mass index (BMI) and glomerular filtration rate (GFR) were calculated. Spearman correlation and logistic regression analysis of the relationship between SUA and MS and its components. Results The total detection rate of HUA in the medical examination population was 15.68%, 19.97% in males and 7.65% in females. The levels of SBP, DBP, FPG, TC, TG, LDL-C, SCr and BMI in hyperuricemia group (1499 cases in HUA group) were significantly higher than those in SUA normal group (NUG group, 8 062 cases) C and GFR levels were significantly lower than those in NUA group, hypertension, overweight or obesity, the detection rate of dyslipidemia was significantly higher than NUA group, the difference was statistically significant (P <0.01). Spearman correlation analysis showed that SUA level was positively correlated with SBP, DBP, BMI, FPG, TG, TC, LDL-C and SCr levels (r values were 0.214,0.263,0.386,0.110,0.405,0.143,0.160 and 0.395 respectively) Negatively correlated with HDL-C and GFR (r = -0.141 and -0.136, respectively), both of which were statistically significant (P <0.01). Multivariate logistic regression analysis showed that the risk of HUA was significantly higher in overweight or obesity, dyslipidemia and males (OR = 1.961,2.484,2.184, P <0.01); HUA was also a risk factor for MS (OR = 1.792, 95% CI: 1.541 ~ 2.085). Conclusion The detection rate of HUA in the physical examination population is high, and the level of SUA is closely related to each component of MS, which may be an effective indicator of MS screening and risk prediction.