Statistical analysis
Since this study aimed at a qualitative comparison of different warming methods, no sample size computation was performed. We restricted the number of participants per study to 30 in study A and 32 patients in study B due to economic reasons.Descriptive statistics are reported as numbers and frequencies or median [1st; 3rd quartile] as appropriate. If not stated otherwise, tests were performed two-sided on a significance level of 5%. Parameter estimates are provided with corresponding 95% confidence intervals (95%-CI).For the course of all measured temperatures and temperature sensitivity scores over time we fitted linear mixed effects models with temperature (or the score) as dependent variable, time and warming method as fixed effects with corresponding in-between interaction and random subject effects to account for repeated measurements. All pairwise contrast tests have been conducted on the fit models to test for differences between warming methods at each time point. Resulting p-values have been corrected for multiple testing using Tukey adjustment. Data were analyzed using R version 4.2.2 (The R Foundation for Statistical Computing, Vienna, Austria).