Abstract： Objective To study the way for establishing prediction model of acute pancreatitis with secondary multiple organs dysfunction syndrome (MODS) in the early stage.Methods The linical data were collected from 113 hospitalized patients with acute pancreatitis admitted from October 2008 to October 2011.Some biomarkers within 48 h after the onset of acute pancreatitis were statistically analyzed by univariate and multivariate binary logistic regression analysis in order to establish the prediction model evaluated by the ROC curve. Results There were statistically significant differences in lactate dehydrogenase ( LDH ),serum creatinine ( CR),serum albumin ( P ＜ 0.05 ) identified by univariate regression analysis.These independent risk factors in the regression model were:ln (P/1 -P) =2.243 +0.002 × LDH + 0.014 × CR - 0.186 × ABL,likelihood ratio test ( x2 =66.46,P =0.000) ; in the ROC curve analysis:AUC 0.927 (95％ CI:0.875 -0.980),the best cut- off value of the model predicting probability was 0. 177 (sensitivity 82. 14％,specificity 85.88％,correctly classified 84.96％ ).Conclusions Efficient prediction model could be set up by the logistic regression analyzing the early risk factors in multiple organ dysfunction syndrome following acute pancreatitis.