Supplementary Figure 1: Hazards ratios (HR) for all-cause mortality in our entire ABPM-referred cohort (treated and untreated patients) according to body mass index (BMI). The predicted HR and 95% confidence intervals were generated using spline regression with adjustment for age, sex and 24░h systolic blood pressure
(R/Bioconductor packages ‘survival’ and ‘pspline’).
Supplementary Figure 2: To capture the U-like association between body mass index (BMI) and all-cause mortality, with minimum ~25░kg/m2, we plotted hazards ratios according to deciles of (BMI-25)2 (corresponding BMI values are depicted below the x- axis for clarity). Hazards ratios were derived from Cox proportional hazards models that also included age, gender, treatment for diabetes (model 1) and in addition non-
transformed BMI (model 2). Overall model fit was stronger with model 2 (2=747.1) compared with model 1 (2=699.6), P░=░0.008 for the change in 2. We thus introduced both BMI and squared BMI to subsequent outcome models.
Supplementary Figure 3: Subgroup analysis of mortality according to awake ambulatory blood pressure. A) Subjects with awake ambulatory BP░<░135/85 mmHg: SSL/SSI – 28 events in 614 patients; SSH – 7 events in 107 patients; Log-Rank P░=░0.406. B)
Subjects with awake ambulatory hypertension: SSL/SSI – 78 events in 1183 patients;
SSH – 20 events in 160 patients; Log-Rank P░=░0.018.
20 25 30 35
0.00.51.01.52.0
BMI, kg/m^2
Hazard Ratio
Supplementary figures 1
R² = 0.7815 R² = 0.9158 0
0.5 1 1.5 2 2.5
25 26 28 30 32 34 36
Hazards Ratio
BMI, kg/m^2 model 1 model 2
2
(BMI-25)^2, kg^2/m^4
0 1 9 25 49 81 121
normal awake blood pressure
high awake blood pressure A
B
Supplementary Figure 3
