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Table 2 Multiple logistic regression analysis for the prediction of multi-vessel coronary artery disease

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1 Age, yr

Body mass index, kg/m

2

Systolic blood pressure, mmHg Hemoglobin A1c, %

eGFR, ml/min/1.73m

2

Low FMD/low RHI, yes

0.609 1.151 1.133 1.200 0.183 7.549

Table 2 Multiple logistic regression analysis for the prediction of multi-vessel coronary artery disease

FMD indicates flow-mediated dilation; RHI, reactive hyperemia index; LDL, low density lipoprotein;

HDL, high density lipoprotein; eGFR, estimated glomerular filtration rate; ACE, angiotensin converting enzyme; ARB, angiotensin receptor blocker

1.002 1.068 1.016 1.346 0.993 4.160

0.968-1.079 0.947-1.204 0.987-1.045 0.791-2.289 0.964-1.024 1.505-11.500

0.435

0.283

0.287

0.273

0.669

0.006

Wald λ

2

Odds ratio 95% confidence interval P value

Table 2  Multiple logistic regression analysis for the prediction of    multi-vessel coronary artery disease

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