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Annals of Nuclear Medicine and Molecular Imaging

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篇名 Relationship of Formula Creatinine Clearance, Serum Creatinine and Blood Urea Nitrogen to 99mTc-MAG3 Clearance
卷期 15:2
並列篇名 利用方程式預測肌酸酐清除率、血清肌酸酐、血尿素氮和鎝-99mEMAG3清除率之關係
作者 吳佩珊吳宜臻姚維仁李碧芳邱南津
頁次 77-83
關鍵字 creatinine clearance99mTc-MAG3BUNeffective renal plasma flow肌酸酐清除率鎝99m-MAG3血尿素氮有效腎血流量
出刊日期 200206

中文摘要

背景:本研究探討鎝-99m-MAG3清除率與方程式預測肌酸酐清除率之中目關性,並分析鎝-99m-MAG3清除率、血清肌酸酐和血尿素氮之間的關係。

方法:共47個病人包含於本實驗,根據方程式以血液肌酸酐值、年齡、體重來算出肌酸酐之清除率,代表腎絲球過B蓋率。所有受試者均接受鎝-99m-MAG3製劑之腎功能檢查,並以單次抽血方式計算有效腎血流清除率。再以直線回歸比較方程式預測肌酸酐清除率、血清肌酸酐、血尿素氮與鎝-99m-MAG3清除率之間的相關性。此外,以鎝-99m-MAG3清除率的結果為診斷腎功能異常的標準,計算方程式預測肌酸酐清除率、血清肌酸酐及血尿素氮之敏感性與特異性。

結果:鎝-99m-MAG3清除率與方程式預測肌酸酐清除率之間有很好的相關性(方程式肌酸酐清除率=0.3469X鎝-99mMAG3清除率+ 1.6257'相關係數=0.877,估計值之標準誤= 17.64 ml/min) 0肌面酸酐、血尿素氮和鎝-99m-MAG3清除率 之間的相關性則不佳(相關係數分別為0.633及0.698)。而以方程式預測肌酸酐清除率、血清肌酸酐與血尿素氮偵測腎功能異常之敏感性分別為86.29毛、45.8%和50.0%'其特異性分別為72.29毛、95.7%和87.0%。

結論:本研究顯示鎝-99m-MAG3清除率與方程式預測肌酸酐清除率之間有相當好的相關性,而與血清肌酸酐與血尿素氮之相關性則不佳;雖方程式預測肌酸酐清除率對偵淇IJ腎功能受損之敏感性較血清肌酸酐與血尿素氣為好,但其專一性則並不佳O利用鎝-99m-MAG3清除率的流程與資料處理簡單,可為一有用的腎功能指標,且非方程式預測肌酸酐清除率、血清肌酸酐、血尿素氮所可取代。

英文摘要

Background: We conducted this study to explore the correlation of formula creatinine clearance (FCcr), serum creatinine, blood urea nitrogen (BUN) to 99mTc_ MAG3 clearance (CMAG3).

Methods: Forty-seven adult patients with a wide range of renal function were included in this study. To assess glomerular filtration rate, FCcr was calculated from serum creatinine concentration, age and weight. CMAG3 was determined by one blood sample method. Linearregression was utilized to analyze correlation between CMAG3 and FCcr, serum creatinine or BUN. By using results of CMAG3 as a marker of renal dysfunction, the sensitivity and specificity of FCcr, serum creatinine and BUN were also calculated

Results: A good correlation was found between FCcr and CMAG3 (FCcr = 0.3469 x CG3 + 1.6257, correlation coefficient (R) = 0.877, standard error of the estimate (SEE) = 17.64 ml/min). The correlation between serum creatinine and CMAG3 (serum creatinine = -0.009 X CMAG3 + 3.2319, R = 0.633, SEE = 1.01) was not good. The correlation between BUN and CMAG3 (BUN = -0.0947 X CMAG3 + 38.163, R = 0.698, SEE = 9.0) was not good, either. The sensitivities of FCcr, serum creatinine and BUN as markers for renal dysfunction were 86.2%, 45.8% and 50.0%, and specificities were 72.2%,95.7% and 87.0%, respectively.

Conclusions: This study showed a good correlation between FCcr and CMAG3, and poor correlation between serum creatinine, BUN to CMAG3. For detecting renal dysfunction, the sensitivity of FCcr was better than serum creatinine and BUN, but the specificity of FCcr was not good enough. CMAG3 could not be replaced by these three measurements for evaluating renal function

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