Monoethylglicinexylidide test: A prognostic indicator of survival in cirrhosis

HEPATOLOGY(1994)

引用 73|浏览18
暂无评分
摘要
The aim of this study was to assess the value of the monoethylglicinexylidide assay, a dynamic liver function test based on the determination of the serum concentration of lidocaine major metabolite, as a predictor of survival in cirrhosis. For this purpose, the predictive value of monoethylglicinexylidide was evaluated in comparison with the Pugh score, ascites, encephalopathy and a number of different biochemical parameters as collected from the prospective follow-up of 118 patients with cirrhosis. A stepwise regression analysis was performed on the variables of prognostic value according to the Cox model and with respect to 1-yr survival; because Pugh score and monoethylglicinexylidide were the sole variables selected, they were proved to supply independent prognostic information. The most reliable cutoff values for discrimination between death and survival were 25 ng/ml or less for monoethylglicinexylidide and less than 9 for the Pugh score. In 74 patients without overt signs of liver failure (i.e., Pugh less than or equal to 9), monoethylglicinexylidide provided a wide range of results (i.e., 4 to 77 ng/ml), namely values ranging from very low to elevated. Of the 38 patients with satisfactory Pugh scores (less than or equal to 9) but poor monoethylglicinexylidide values (less than or equal to 25), 11 died during follow-up and 3 underwent liver transplantation, despite having shown no clinical signs of liver failure at entry. On the bases of discriminant levels, the monoethylglicinexylidide test is suitable for adoption as a reliable and sensitive indicator of survival in patients with cirrhosis because it supplies more accurate prognostic information compared with the Pugh score. In these patients, a low monoethylglicinexylidide value may indicate that liver grafting should no longer be delayed regardless of apparently stable clinical conditions.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要