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肾康注射液对老年慢性肾病患者造影剂肾病的防治作用

发布时间:2018-02-09 07:51

  本文关键词: 肾康注射液 老年患者 造影剂肾病 出处:《中国中西医结合杂志》2016年07期  论文类型:期刊论文


【摘要】:目的探讨中药制剂肾康注射液对老年慢性肾病患者造影剂肾病(contrast-induced nephropathy,CIN)防治的安全性和有效性。方法将206例老年慢性肾病拟行冠状动脉造影的患者按照随机数字表法分为水化组(67例)、肾康组(71例)和对照组(68例)。水化组手术前后12 h,均予0.9%氯化钠注射液静脉滴注。肾康组予肾康注射液静脉滴注,对照组予静脉滴注5%葡萄糖,两组均术前3天及术后应用4天,每天1次。观察各组患者CIN的发生率,以及术前、术后24、96 h肌酐、尿素氮、血清胱抑素C(serum cystatin C,Cys C)、肾损伤分子-1(kidney injury molecule-1,KIM-1)和β2-微球蛋白(β2-microglobulin,β2-MG)肾功能指标改变。通过Sperman相关性分析,比较年龄、性别、肾康注射液、造影剂用量、术前肾功能指标水平与24 h肌酐变化值(术后24 h-术前)、CIN发生率的相关性,并进行Logistic回归分析。结果与水化组及对照组比较,肾康组患者CIN发病率明显降低,差异有统计学意义(χ2=5.32,P0.05)。与本组治疗前比较,治疗24、96 h后3组患者肌酐和Cys C水平均升高(P0.05),水化组和对照组KIM-1升高(P0.05),肾康组β2-MG水平升高(P0.05);与对照组比较,肾康组术后24 hβ2-MG升高(P0.05),其他指标组间比较,差异均无统计学意义(P0.05)。肾康治疗与CIN发生率和24 h肌酐变化呈负相关(r=-0.612、-0.517,P0.05)。造影剂用量与CIN发生率和24 h肌酐变化呈正相关(r=0.644、0.562,P0.05)。造影剂用量增加使CIN发生率升高(P0.05),肾康治疗后CIN发生率明显降低(P0.05)。结论中药制剂肾康注射液对老年肾功能不全患者CIN起到一定的防治作用,降低CIN的发生率。
[Abstract]:Objective to investigate the traditional Chinese medicine preparation Shenkang injection of contrast agent nephropathy in elderly patients with chronic kidney disease (contrast-induced nephropathy, CIN) the safety and effectiveness of prevention and treatment. Methods 206 cases of elderly patients with chronic kidney disease undergoing coronary angiography were randomly divided into hydration group (67 cases), Shenkang group (71 cases) and control group (68 cases). The hydration group before and after the operation of 12 h, 0.9% were treated by intravenous drip. The Sodium Chloride Injection group, Shenkang Shenkang injection intravenous infusion, the control group received intravenous infusion of 5% glucose, two groups were 3 days before and after operation, 4 days, 1 times per day. To observe the incidence of CIN, and preoperative, postoperative 24,96 h creatinine, urea nitrogen, serum cystatin C (serum cystatin C, Cys C), -1 (kidney injury kidney injury molecule molecule-1, KIM-1) and beta 2- microglobulin (beta 2-microglobulin and beta 2-MG) renal function index changes by Sperman. Correlation 鏋,

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