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Data were analysed by one-sample sign tests comparing median values using MINITAB™ Statistical Software.
We compared median values using t-test, if appropriate, or Wilcoxon sign-rank test.
For patient characteristics collected as continuous variables, we compared median values, using the Wilcoxon rank-sum test.
Cells can then be plotted at their cluster median values using standard flow cytometry analysis programs (e.g., FlowJo™), with each cluster appearing as a single point.
Differences of TGF-β1 excretion in urine between the patient groups were determined by comparison of their mean and median values, using Student's t-test for unpaired data and Kruskall-Wallis non-parametric test.
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All PCR reactions were run in triplicate and median values used for analysis.
The median values used as cut-offs were 71.9 for WHOQoL and 67.5 for health status.
Asterisks indicate a significant difference in median value using the Mann-Whitney U test (p<0.01; >50 nuclei for each condition).
Height and body weight were measured as described previously [26], Sitting blood pressure was measured thrice over 10 min and the median value used in the statistical analysis.
These measurements are repeated thrice (median value used for analysis).
Continuous variables were transformed into categorical variables with the median value used as the cut-off.
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