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. 2019 Apr 29;11(8):2447–2456. doi: 10.18632/aging.101935

Table 2. Univariate and multivariate logistic regression analysis for DVT.

Predictor Univariate analysis Multivariate analysis
OR 95% CI P OR 95% CI P
Age 1.03 1.01–1.05 0.010 1.02 1.01–1.05 0.040
History of vein thrombosis (Yes vs. no) 2.48 1.16–5.30 0.017 1.61 1.11–3.76 0.059
Clinical complications (Yes vs. no) 2.67 1.29–5.46 0.007 1.83 1.21–3.49 0.027
Rehabilitation therapy (Yes vs. no) 0.39 0.17–0.75 0.023 0.64 0.43–0.96 0.046
CRP 1.09 1.02–1.16 0.009 1.06 1.01–1.20 0.024
IL-6 1.41 1.14–1.74 0.002 1.21 1.05–1.63 0.013
D-dimer 1.01 1.00–1.02 <0.001 1.01 1.00–1.03 0.002
MIF 1.11 1.06–1.17 < 0.001 1.08 1.03–1.14 0.001

Note that the odds ratio corresponds to a unit increase in the explanatory variable.

Adjusted for those significant risk factors which confirmed in the univariate analysis, including age, history of vein thrombosis, clinical complications, rehabilitation therapy, plasma levels of CRP, IL-6, D-dimer and MIF

OR, odds ratio; CI, confidence interval; CRP, C-reactive protein; DVT: Deep vein thrombosis; MIF, Macrophage migration inhibitory factor; IL-6, Interleukin 6.