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. 2023 Jun 15;10:1196348. doi: 10.3389/fcvm.2023.1196348

Table 3.

Prediction of CAD presence and severe CAD of the study population.

Variables Prediction of CAD presence Prediction of 3-vessel or LM disease
Univariate Multivariate Univariate Multivariate
HR 95% CI p-value HR 95% CI p-value HR 95% CI p-value HR 95% CI p-value
Age 1.04 0.99–1.10 0.161 1.04 0.98–1.10 0.235 1.05 0.99–1.11 0.071 1.05 0.99–1.11 0.092
Male 1.13 0.44–2.92 0.801 1.06 0.37–3.05 0.914 1.33 0.54–3.24 0.535 1.29 0.47–3.54 0.618
BMI 0.93 0.77–1.12 0.448 0.93 0.76–1.14 0.476 0.88 0.73–1.05 0.160 0.85 0.70–1.05 0.124
Diabetes 3.26 0.90–11.78 0.071 3.52 0.91–13.61 0.068
hs-CRP 1.43 0.98–2.06 0.061 1.08 0.76–1.54 0.657 1.08 1.01–1.16 0.019 1.05 0.72–1.12 0.230
miR-183-5p 0.004* 0.024* 0.020* 0.020*
Low tertile 1.00 1.00 1.00 1.00
Middle tertile 3.86 1.17–12.77 0.027 3.81 1.07–13.56 0.039 2.24 0.50–10.00 0.291 2.11 0.46–9.70 0.34
High tertile 18.86 2.37–149.79 0.005 14.57 1.38–153.65 0.026 8.64 2.32–32.26 0.001 6.59 1.59–27.25 0.009

Variables in the left column included in the logistics regression analysis.

CAD, coronary artery disease; HR, hazard ratio; CI, confidence interval; BMI, body mass index; hs-CRP, hypersensitive-C-reactive protein.

*Indicated p-value for trend in the logistics regression analysis.