Statistical evaluation
SD
REGRESSION
The primary outcome was the difference in 24 h mean SBP between HF-ABPM and LF-ABPM. Secondary outcomes were mean differences in SBP for day- and nighttime, DBP values (24 h, daytime, and nighttime means), 95% limits of agreement (95% LoA) interval, coefficient of variation (CV) for both SBP and DBP values calculated as standard deviation (SD) / mean × 100, and questionnaire data as reported above. The mean difference and the LOA between HF- and LF-ABPM were calculated using Bland-Alman plots and the relationships between differences and means were tested with simple linear regression and plotted appropriately, 24 h means are also presented in scatter plots with a line of equality as reference [Data were analyzed using STATA (Version 17, StataCorp, College Station, TX, USA). Continuous variables were evaluated for normal distribution using QQ-plots and histograms. BP results are presented as means with 95% confidence intervals (CI). All other continuous, normally distributed variables are presented as means ± SD, and data with a skewed distribution are presented as median with interquartile range (IQR). Dichotomous variables are presented as number of patients with % of total population. For independent data unpaired t-test, Mann-Whitney-U test and chi-squared-test were used for normally distributed, skewed, and dichotomous data, respectively. For paired data a paired t-test, Wilcoxon matched-pairs signed-rank test, and McNemar’s test were used for normally distributed, skewed, and dichotomous, data respectively. A 