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Table 3 Multi-variable linear regression modeling of predictors of blood pressure response signal after adjustment for pretreatment blood pressure level

From: Power to identify a genetic predictor of antihypertensive drug response using different methods to measure blood pressure response

  BP Response to Atenolol (N = 293) BP Response to Hydrochlorothiazide (N = 302)
  Systolic β ± SE Diastolic β ± SE Systolic β ± SE Diastolic β ± SE
Intercept -14.1 ± 0.9§ -11.8 ± 0.6§ -11.8 ± 0.7§ -6.7 ± 0.5§
Race: Black 6.3 ± 1.1§ 4.8 ± 0.8§ -2.9 ± 0.9‡ -2.0 ± 0.6‡
Log Plasma Renin Activity -4.4 ± 0.5§ -2.5 ± 0.3§ 0.7 ± 0.5 0.7 ± 0.3*
Sex: Male 2.3 ± 1.0* 2.9 ± 0.7§ 4.2 ± 0.8§ 2.7 ± 0.5§
Log Hypertension Years 1.3 ± 0.5* 1.0 ± 0.4† - -
Serum ALT 0.08 ± 0.03† 0.04 ± 0.02* - -
Model R2×100% 22% 23% 11% 16%
  1. BP, blood pressure; β, regression coefficient; SE, standard error. Model parameters are estimated at the mean values for each quantitative predictor variable in a combined dataset used to model the predictors of office, home, ambulatory daytime and nighttime BP responses after adjustment for pretreatment BP levels. P-values for tests of model parameters = 0: *, ≤0.05; †, ≤0.01; ‡, ≤ 0.001; §, ≤0.0001. R2×100% is the percentage of variation in the office BP response explained by the model predictors.