Circulating Exosomal SOCS2-AS1 Acts as a Novel Biomarker in Predicting the Diagnosis of Coronary Artery Disease

Table 3

Univariate analysis and multiple logistic regression analysis for the risk of CAD.

Models	OR	95% CI	value
Univariate analysis	0.328	0.173–0.623	0.001^&
Multiple logistic regression model^1	0.350	0.175–0.701	0.003^&
Multiple logistic regression model^2	0.352	0.173–0.714	0.004^&
Multiple logistic regression model^3	0.337	0.163–0.697	0.003^&
Multiple logistic regression model^4	0.335	0.157–0.714	0.005^&
Multiple logistic regression model^5	0.323	0.146–0.717	0.005^&
Multiple logistic regression model^6	0.291	0.116–0.731	0.009^&

OR: odds ratio; CI: confidence interval. The model¹ included age, gender, smoking, and SOCS2-AS1 level; The model² included age, gender, smoking, hypertension, and SOCS2-AS1 level; The model³ included age, gender, smoking, hypertension, diabetes, FBG, and SOCS2-AS1 level; The model⁴ included age, gender, smoking, hypertension, diabetes, FBG, BUN, Cr, UA, and SOCS2-AS1 level; The model⁵ included age, gender, smoking, hypertension, diabetes, FBG, BUN, Cr, UA, CRP, PLT, FIB, INR and SOCS2-AS1 level; The model⁶ included age, gender, smoking, hypertension, diabetes, FBG, BUN, Cr, UA, CRP, PLT, FIB, INR, TC, TG, HDL-C, LDL-C, Lpa, and SOCS2-AS1 level. .