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作 者:黄骥斌[1] 黄志刚[1] 邓智勇[1] 王莉[2] 贾成瑶[1]
机构地区:[1]四川大学华西医院实验医学科,成都610041 [2]四川大学华西医院中国循证医学中心,成都610041
出 处:《四川大学学报(医学版)》2012年第6期888-892,共5页Journal of Sichuan University(Medical Sciences)
摘 要:目的分析性别、年龄、肾功能、代谢参数和所患疾病对患者血清胱抑素C(Cys C)浓度的影响。方法收集2009年9~12月四川大学华西医院全部31235例住院患者首次检验记录,整理并采用多元线性回归分析其肾功能参数和代谢参数与血清Cys C浓度的关系;采用单因素方差分析和LSD检验分析不同系统疾病对患者血清CysC浓度的影响。结果多元回归方程为Cys C=0.331+0.686Crea+0.174Urea+0.119Age+0.068Uric-0.057HDL-C-0.041Sex+0.038eGFR-0.031LDL-C-0.026Glu;其复相关系数为0.859,决定系数为0.738。不同系统疾病组血清Cys C浓度的差异具有统计学意义(P<0.05),泌尿系统疾病组浓度最高,循环系统疾病组、呼吸系统疾病组次之。结论血清Cys C在临床检测中与患者肾功能相关性好,而与代谢参数相关性有待进一步深入研究;在有肾损害倾向的疾病中,血清Cys C浓度有增高的趋势。Objective To identify the determinants of serum cystatin-C (Cys C) in patients. Methods The medical records of 31235 patients admitted to West China hospital from September to October, 2009 and their first laboratorial test results were examined. Liner regression analyses were performed to determine the association of sex, age, renal function, and metabolic index serum Cys C. One-way ANOVA and LSD tests were performed to determine the association between different diseases and serum Cys C. Results The multiple linear regression equation was obtained: Cys C = 0. 331 q-0. 686Crea -4-0. 174Urea q-0. llgAge + 0. 068Uric --0. 057HDL-C --0. 041Sex +0. 038eGFR --0. 031LDL-C --0. 026Glu, with a correlation coefficient of 0. 859 and a coefficient of determination of 0. 738. The level of serum Cys C varied with different diseases, with urinary diseases showing the highest level followed by vascular and respiratory diseases. Conclusion Serum Cys C is associated with renal function, but not with metabolic index. Cys C tends to rise in patients renal function injury.
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