Continuous variables were expressed as the means and standard deviations or as medians and interquartile ranges, while categorical variables were presented as numbers and percentages. Comparisons were performed with Student’s t-test or the
Wilcoxon rank-sum test for continuous variables and the chi-squared test for categorical variables. Correlations between copeptin levels and variables, such as AVP, were assessed by Bland-Altman analysis, or Pearson’s correlation coefficient or Spearman’s rank correlation test. According to the median copeptin levels at ICU admission, we set the cut-off serum copeptin level as 43.7 pmol/L to discriminate high (≥43.7 pmol/L)- and low (<43.7 pmol/L)-copeptin groups. We estimated the risk of AKI in both groups at ICU admission by the logistic regression model and expressed the results as odds ratio (OR) and 95% confidence intervals (CIs). Differences with two-sided P values <0.05 were statistically significant.
JMP software for Windows version 13 (SAS Institute, Cary, NC, USA) was used for all statistical analyses.
Yamashita K., Abe T., Hayata Y., Hirose T., Hiraga S., Fukuba R., Takemura J., Tonomura R., Yamamoto K., Yokoyama S, & Taniguchi S. (2020). Copeptin concentration following cardiac surgery as a prognostic marker of postoperative acute kidney injury: a prospective cohort study. Journal of Thoracic Disease, 12(11), 6609-6617.