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.