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. 2021 Jun 11;38(7):4013–4025. doi: 10.1007/s12325-021-01799-3

Table 2.

Logistic regression models for the risk of 24-h and daytime BP control (n = 520)

Variable 24-h BP control Daytime BP control
Model 1 Model 2 Model 1 Model 2
OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI)
Age (years) 1.0 (0.9–1.0) 1.0 (1.0–1.1) 1.0 (0.9–1.0) 1.0 (1.0–1.1)
Sex (ref. female) 0.8 (0.5–1.1) 0.8 (0.5–1.1) 0.9 (0.6–1.3) 0.9 (0.6–1.3)
BMI (kg/m2) 1.0 (0.9–1.1) 1.0 (1.0–1.1) 1.0 (1.0–1.1) 1.0 (1.0–1.1)
Smoking habit 0.9 (0.7–1.3) 0.9 (0.7–1.4) 0.9 (0.6–1.3) 0.9 (0.6–1.3)
T2DM 1.0 (0.7–1.5) 1.0 (0.7–1.5) 0.8 (0.5–1.2) 0.8 (0.5–1.2)
eGFR (ml/min/1.73 m2) 1.0 (0.9–1.0) 1.0 (1.0–1.1) 1.0 (0.9–1.0) 1.0 (1.0–1.1)
ACEi-based triple therapy vs ARB-based triple therapy (ref. ARB-based triple therapy) 1.5 (1.1–2.2)* 1.2 (0.8–1.9) 1.6 (1.1–2.4)* 1.4 (0.9–2.1)
ATI 1.0 (0.6–1.6) 0.8 (0.5–1.3)
Number of antihypertensive pills (ref. 1)
 1
 2 0.5 (0.2–1.0)* 0.4 (0.2–0.9)*
 3 0.2 (0.1–0.7)* 0.4 (0.1–1.1)

BP blood pressure, OR odds ratio, CI confidence interval, BMI body mass index, T2DM type 2 diabetes mellitus, eGFR estimated glomerular filtration rate, ATI antihypertensive treatment intensity

*p < 0.05, **p < 0.001

Model 1 included age, sex, BMI, smoking habit, T2DM, eGFR, ATI as covariates

Model 2 included all model 1 variables except ATI, which was substituted by number of antihypertensive pills, as covariates