Categorical variables are presented as numbers (percentages), and continuous variables are presented as mean ± standard deviation for normally distributed data or median and interquartile range for non-normally distributed data. To compare creatinine clearance groups (baseline, post imaging, and post-TAVI), we used a general linear model test. We performed a paired sample t-test to compare baseline and post-TAVI creatinine clearance. Differences were considered statistically significant at two-tailed p-values < 0.05. All analyses were performed using SPSS version 25 software (IBM Corp., Armonk, NY, USA).
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.