Short-term Survival in Acutely Decompensated Cirrhotic Patients

Aim: The present study was aimed at the early identification of the prognostic factors for 30-day mortality in acutely decompensated cirrhotic patients. Methods: Logistic regression models were used to study the predictors of mortality. Variables significant on univariate testing were included for the multivariate analysis. ROC curves were constructed. The model used retrospective data from 228 patients; and was prospectively validated among 64 patients from the Hospital Clinic: internal validation and 90 patients from Hospital Gregorio Maranon: external validation. Results: The model identified age at admission, serum concentrations of bilirubin, creatinine and sodium, and INR obtained 2 to 8 days after admission as predictors of death in this population. The resulting risk score was highly accurate: AUROC: 0.9150, 95%CI: 0.8509-0.9790 also in the internal and external validation series, but not better that the most widely used scores in hepatology: MELD: 0.8335, 95%CI: 0.7486-0.9184, MELD-Na: 0.8565, 95%CI: 0.7774-0.9356, iMELD: 0.8972, 95%CI: 0.8297-0.9648 and MESO Index: 0.8464, 95%CI: 0.7656-0.9272. The cutoff levels: LR+, LR- of the new score, MELD and MELD-Na that best predicted 30 days mortality were -0.09: 38.6, 0.51, 28: 16.7, 0.42 and 47: 12, 0.7, respectively. Conclusions: MELD, as well as new, more complicated and scanty used scores, obtained 2 to 8 days after admission allows the early and easy identification of patients with an acute decompensation of cirrhosis at high-risk of death on short-term follow-up. These scores may represent a useful tool to select the population suitable for studies to evaluate the efficacy of new therapies and stratify patients in randomized trials.

[1]  A. de Gottardi,et al.  Clinical Course of acute‐on‐chronic liver failure syndrome and effects on prognosis , 2015, Hepatology.

[2]  R. Moreau,et al.  The CLIF Consortium Acute Decompensation score (CLIF-C ADs) for prognosis of hospitalised cirrhotic patients without acute-on-chronic liver failure. , 2015, Journal of hepatology.

[3]  S. Møller EASL clinical practice guidelines on the management of ascites, spontaneous bacterial peritonitis, and hepatorenal syndrome in cirrhosis. , 2010, Journal of hepatology.

[4]  P. Galle,et al.  6 EXTRACORPOREAL LIVER SUPPORT BY FRACTIONATED PLASMA SEPARATION AND ADSORPTION (PROMETHEUS) IN PATIENTS WITH ACUTE-ON-CHRONIC LIVER FAILURE (HELIOS STUDY): A PROSPECTIVE RANDOMIZED CONTROLLED MULTICENTER STUDY , 2010 .

[5]  J. Vincent,et al.  Severe sepsis in cirrhosis , 2009, Hepatology.

[6]  Rajiv Jalan,et al.  Artificial Liver Support Systems in the Management of Complications of Cirrhosis , 2008, Seminars in liver disease.

[7]  J. Bosch,et al.  An integrated MELD model including serum sodium and age improves the prediction of early mortality in patients with cirrhosis , 2007, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.

[8]  Shou-Dong Lee,et al.  Model for end‐stage liver disease score to serum sodium ratio index as a prognostic predictor and its correlation with portal pressure in patients with liver cirrhosis , 2007, Liver international : official journal of the International Association for the Study of the Liver.

[9]  Stadlbauer,et al.  Natural history of acute decompensation of cirrhosis: The basis of the definition, prognosis and pathophysiology of acute on chronic liver failure , 2006 .

[10]  T. Therneau,et al.  Evidence-based incorporation of serum sodium concentration into MELD. , 2006, Gastroenterology.

[11]  K. Zou,et al.  Statistical validation based on parametric receiver operating characteristic analysis of continuous classification data. , 2003, Academic radiology.

[12]  E. Hahn,et al.  Short‐term prognosis in critically ill patients with cirrhosis assessed by prognostic scoring systems , 2001, Hepatology.

[13]  T M Therneau,et al.  A model to predict survival in patients with end‐stage liver disease , 2001, Hepatology.

[14]  P. Kamath,et al.  A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts , 2000, Hepatology.

[15]  M. Navasa,et al.  Prognostic significance of hepatic encephalopathy in patients with cirrhosis. , 1999, Journal of hepatology.