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. Author manuscript; available in PMC: 2018 Mar 1.
Published in final edited form as: Atherosclerosis. 2017 Jan 16;258:145–151. doi: 10.1016/j.atherosclerosis.2017.01.018

Table 3.

Linear and logistic regression for the relationship between vessel characteristics and fractional flow reserve.

Per-vessel analysis (n=407)
Univariable linear regression Univariable logistic regression Multivariable logistic regressiona
B SE p-value OR 95% CI p-value OR 95% CI p-value
Diffuseness measures:
Log % PD −0.058 0.010 <0.001 3.11 1.98–4.89 <0.001 1.58 1.005–2.48 0.048
Other CCTA measures:
Diameter stenosis, % −0.004 0.0004 <0.001 1.07 1.05–1.09 <0.001
Area stenosis, % −0.003 0.0003 <0.001 1.06 1.04–1.08 <0.001
Minimal lumen diameter, mmb 0.126 0.011 <0.001 0.08 0.04–0.18 <0.001 0.12 0.06–0.25 <0.001
Minimal lumen area, mm2 0.038 0.004 <0.001 0.40 0.30–0.54 <0.001
% APV −0.005 0.001 <0.001 1.08 1.06–1.11 <0.001
PRb −0.112 0.012 <0.001 10.31 6.35–16.72 <0.001 7.21 4.02–12.91 <0.001
LAPb −0.115 0.014 <0.001 12.90 5.39–30.84 <0.001 2.64 1.38–5.04 0.003
SC −0.062 0.017 <0.001 3.89 2.04–7.41 <0.001
a

Adjusted odds ratios retained from backward stepwise logistic regression are reported.

b

Minimal lumen diameter, positive remodeling, and low attenuation plaque were retained in backward stepwise logistic regression.

Log % PD, logarithmically transformed percent plaque diffuseness; % APV, percent aggregate plaque volume; PR, positive remodeling; LAP, low attenuation plaque; SC, spotty calcifications; B, unstandardized coefficient; SE, standard error; OR, odds ratio.