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. 2017 Aug 19;6(8):e006079. doi: 10.1161/JAHA.117.006079

Table 4.

Multivariable Linear Regression Models for Coronary Artery Plaque Burden (log [PPS+1])

Variable All (β±SE) Women (β±SE) Men (β±SE)
Age, y 0.058±0.002, P<0.0001 0.051±0.004, P<0.0001 0.064±0.003, P<0.0001
Female sex −0.512±0.024, P<0.0001 ··· ···
eGFR, mL/min per 1.73 m2 ··· −0.004±0.002, P=0.0228 0.004±0.002, P=0.0285
Heart rate, bpm −0.006±0.002, P=0.0059 −0.006±0.003, P=0.0384 ···
MAP, mm Hg 0.005±0.002, P=0.0089 ··· 0.005±0.002, P=0.0685
Hypertension 0.134±0.025, P<0.0001 0.177±0.036, P<0.0001 0.114±0.0320, P=0.0004
Hyperlipidemia ··· ··· ···
Diabetes mellitus 0.113±0.033, P=0.0006 0.145±0.050, P=0.0040 ···
Smoking 0.206±0.023, P<0.0001 0.227±0.034, P<0.0001 0.173±0.030, P<0.0001
Antihypertensive use ··· ··· ···
Apirin use ··· ··· 0.073±0.033, P=0.0255
Statin use 0.206±0.024, P<0.0001 0.182±0.036, P<0.0001 0.206±0.032, P<0.0001
Log iAC −0.105±0.077, P=0.1747 −0.231±0.113, P=0.0418 −0.062±0.104, P=0.5512

Results of step‐wise multivariable linear regression models with forward elimination, with criteria of P≤0.10 to enter and ≤0.05 to stay in the models. eGFR indicates estimated glomerular filtration rate; iAC, indexed arterial compliance; MAP, mean arterial pressure; PPS, percent plaque score.