Statistical analysis
CIN
EVENT, CIN
Statistical analyses were carried out using SPSS software version 23 (SPSS Inc., Chicago. Illinois, the USA). We expressed categorical variables as percentages, and continuous variables as mean values (±standard deviation [SD]) when the distribution was normal or medians with semi-interquartile ranges (SIQR) when it was not normal. Normally distributed continuous variables were compared using the Student t-test (independent sample t-test for comparison between the 2 groups, paired sample t-test for self-comparison); non-normally distributed continuous variables were analyzed by non-parametric test (Mann-Whitney U test for independent series and Wilcoxon test for paired series). When the application conditions were validated, categorical data were analyzed using the Chi2 test of Pearson, otherwise Fisher exact test.Given the lack of similar studies in the literature, we carried out a pre-survey on 20 patients to determine the number of subjects needed. It was speculated that the incidence of CyC-based CIN was 36% in the NR group. We hypothesized the additional loading dose of Atorvastatin in the AR group could reduce the incidence of CyC-based CIN to 15%. Thus, the calculated sample size was at least 51 individuals for each group to get 80% power with a significance level of 0.05 (for the unilateral test). We have included an additional 10% of the workforce calculated taking into account the risk of loss of follow-up.The number needed to treat to prevent one event was calculated according to this formula: NNT = 1/ARR with ARR = Absolute Risk Reduction.