Validation of model for end-stage liver disease score to serum sodium ratio index as a prognostic predictor in patients with cirrhosis.

J Gastroenterol Hepatol

Department of Gastroenterology, First Affiliated Hospital, China Medical University, Shenyang, Liaoning Province, China.

Published: September 2009

Aim: To evaluate the prognostic ability of model for end-stage liver disease (MELD) to serum sodium (SNa) ratio (MESO) index and to compare the predictive accuracy of the MESO index with the MELD score and the modified Child-Turcotte-Pugh (CTP) score for short-term survival in cirrhotic patients.

Methods: A total of 256 patients with cirrhosis were retrospectively evaluated. The predictive accuracy of the MESO index, MELD score and modified CTP score were compared by the area under the receiver-operator characteristic curve (AUC).

Results: Using 1-month and 3-month mortality as the end-point, overall, MESO and MELD were significantly better than the CTP score in predicting the risk of mortality at 1 month (AUC, 0.866,0.819 vs 0.722, P < 0.01) and 3 months (AUC, 0.875,0.820 vs 0.721, P < 0.01). In the low MELD group, the AUC of MESO index (0.758, 0.759) and CTP score (0.754, 0.732) were higher than that of the MELD score (0.608, 0.611) at 1 month and 3 months, respectively (P < 0.01). However, in the high MELD group, the AUC of MESO index (0.762, 0.779) and MELD (0.737, 0.773) were higher than that of the CTP score (0.710, 0.752) at 1 month and 3 months, respectively, although there were no significant differences (P > 0.05). With appropriate cut-offs for the MESO index, the mortality rate of patients in high MESO was higher (57.1% at 1 month and 69.2% at 3 months) than that of the low MESO (5.5% at 1 month and 7.9% at 3 months) (P < 0.01).

Conclusions: The MESO index, which adds SNa to MELD, is a useful prognostic marker and is found to be superior to the MELD score and modified CTP score for short-term prognostication of patients with cirrhosis.

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http://dx.doi.org/10.1111/j.1440-1746.2009.05913.xDOI Listing

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