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

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

	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%

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.

ISSN: 1479-5876