Table 2.

Regression coefficients (log of hazard ratio of heart failure) from multivariable models fit with the variables in the ARIC heart failure risk score, with and without NT-proBNP, for all participants and by race and gender

Variables in risk score	Subgroup with variables included in the heart failure risk score
	Full Cohort sans proBNP	Full Cohort +proBNP	White+proBNP		Black+proBNP		Full cohort with demographic + NT-proBNP
			Female	Male	Female	Male
Age (per year)	0.093	0.068	0.081	0.072	0.069	0.013	0.061
African American (yes vs. no)	0.019	0.286	-	-	-	-	0.702
Male (yes vs. no)	0.202	0.405	-	-	-	-	0.540
Heart rate (beats/minute)	0.026	0.026	0.031	0.023	0.021	0.031	-
Systolic blood pressure (per mm of Hg)	0.008	0.002	0.006	0.001	−0.003	0.005	-
BP-lowering medication use (yes vs. no)	0.338	0.229	0.270	0.194	0.081	0.326	-
Diabetes (yes vs. no)	0.672	0.763	0.795	0.620	1.042	0.830	-
Prevalent CHD (yes vs. no)	1.084	0.677	0.531	0.731	0.360	0.682	-
Current smoker vs. never smoker	0.976	0.840	1.055	0.971	0.241	0.882	-
Former smoker vs. never smoker	0.360	0.329	0.444	0.327	0.160	0.471	-
Body mass index ( per kg/(m*m))	0.054	0.059	0.062	0.073	0.043	0.032	-
Log (NT-proBNP, pg/mL)	-	0.574	0.633	0.628	0.648	0.409	0.659

The ARIC study cohort’s visit 4 (1996–98) was used to predict risk of HF through 2007

CHD = Coronary Heart Disease, NT-proBNP = Amino terminal pro-B type natriuretic peptide

The categorical variables such as African American, Male, BP-lowering medication use, diabetes, prevalent CHD, current smoker, former smoker were coded as 1 if condition was present and 0 if absent. For continuous variables the absolute value was used. All the variables were statistically significant (P<0.05) for prediction of HF.