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作 者:于健[1] 周燕[1] 林枫[1] 龙艳[1] 苏珂[1] 周素娴[1] 胡永玲[1] 彭鹰[1]
机构地区:[1]桂林医学院附属医院内分泌科,广西桂林541001
出 处:《大连医科大学学报》2007年第4期364-366,共3页Journal of Dalian Medical University
基 金:广西自然科学基金资助项目(桂科自0499021)
摘 要:[目的]了解痛风患者的代谢指标及胰岛素抵抗(IR)的情况,并探讨痛风患者胰岛素抵抗的影响因素。[方法]106例痛风患者为研究对象,测定空腹血糖(FPG)、空腹胰岛素(FINS)、血脂、血尿酸(Ua)及餐后2 h血糖(2hPG)、胰岛素(2hINS),分析痛风组与尿酸正常组的上述代谢指标,稳态模型(HOMA)计算胰岛素抵抗指数(IRI)。并对影响痛风患者IR的诸多因素进行多元线性逐步回归分析。[结果]痛风患者体重指数(BMI)、空腹胰岛素、甘油三酯(TG)、低密度脂蛋白(LDL)及IRI分别为:(25.0±2.0)kg/m2、(14.26±3.53)mU/L、(2.35±0.71)mmol/L、(3.07±0.64)mmol/L、3.36±0.83,上述指标较尿酸正常组明显增高,痛风患者高密度脂蛋白(HDL)(1.47±0.55)mmol/L较尿酸正常组明显降低,2组间上述指标比较差异有显著性意义(P<0.05,P<0.01)。痛风患者IR的Pearson相关分析结果示:IRI与年龄、BMI、TG、TC、LDL、UA呈正相关(P<0.05或P<0.01),与HDL呈负相关(P<0.01)。多元线性逐步回归分析提示BMI、UA、TG是影响痛风患者IR的独立危险因素。[结论]痛风患者存在IR,且BMI、UA、TG是影响痛风患者IR的重要因素。[ Objective] To investigate the relationship between metabolicindices and insulin resistance in patients with gout. [ Methods] Fasting plasma glucose (FPG) ,2 h plasma glucose (2hPG), fasting serum insulin (FINS) ,2 h serum insulin (2hINS), Total cholesterol (CH) ,Triglyceride(TG), High density lipoprotein cholesterol (HDL), Low density lipoprotein cholesterol (LDL)and Ua were determined in 106 patients with gout, 80 normal control group . HOMA -IR(IRI) was calculated at the same time. A multiple linear stepwise regression analysis was used. to analyze the risk factor related to IR. [ Results ] The levels of Body mass index ( BMI), FINS, TG, LDL and IRI were were significantly higher in the gout patients than those normal control group (P 〈0. 05, P 〈0. 01) . HDL was significantly lower in the gout patients than those normal control group (P 〈 0.05) . In the group of gout , Pearson correlation analysis indicated that IRI was positively correlated with Age, BMI, TG, TC, LDL, Ua, but IRI was negativly correlated to HDL. A multiple linear stepwise regression analysis indicated that BMI, TG, Ua were independent factors for IRI. [ Conclusion ] There is the higher insulin resistance in the gout, BMI, TG, Ua might play an important role in pathogensis of insulin resistance.
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