Statistical analysis
Continuous data are presented as mean with standard deviation (SD) or as median and interquartile range (IQR) in case of non-normal distribution. Categorical data are presented as percentages. For multiple group comparisons of categorical variables, the Chi-square test was used. Continuous variables were first analyzed for normality using the Kolmogorov-Smirnov test and then were compared using the independent sample t-test or the Mann-Whitney U test, when appropriate. To explore the risk factors associated with AKIwe performed logistic regression models, with adjustment for risk factors that differed between subjects who developed AKI and those who did not. Also multivariate logistic regression analysis were used to estimate the risk factors associated with in-hospital mortality. We did not include associates of decreased eGFR (urea, creatinine, eGFR) and hematuria (Hburia) in our prediction models.Kaplan-Meier survival curve analysis was done to determine the correlation between proteinuria and in-hospital mortality and log rank test was used for survival analysis.All tests were performed using SPSS for Windows, version 17.0 software (SPSS Inc., Chicago, IL, USA).P values of less than 0.05 were considered statistically significant.