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. 2020 May 1;34(8):e23352. doi: 10.1002/jcla.23352

Table 3.

Univariate and multivariate logistic regression analyses for AF with ischemic stroke

Parameters Univariate analysis Multivariate analysis a
OR (95% CI) P OR (95% CI) P
Age 1.008 (0.979, 1.026) .514    
Sex (female vs male) 0.941 (0.592, 1.813) .879    
BMI 1.089 (0.959, 1.232) .178    
LncRNA ANRIL 1.315 (1.024, 1.623) <.001 1.476 (1.153, 1.879) .002
Medication (warfarin vs dabigatran and rivaroxaban) 0.916 (0.618, 1.843) .365    
Hypertension (yes vs no) 1.012 (0.469, 1.832) .864    
Diabetes mellitus (yes vs no) 1.237 (0.652, 2.389) .521    
Smoking history (yes vs no) 2.309 (1.558, 3.105) <.001 2.018 (1.607, 2.438) <.001
Drinking history (yes vs no) 1.536 (0.763, 1.685) .218    
Family history of ischemic stroke (yes vs no) 1.000 (0.995, 1.008) .708    
TC 1.003 (0.994, 1.011) .232    
HDL‐C 0.996 (0.970, 1.027) .875    
LDL‐C 1.003 (0.991, 1.019) .760    
Lp (a) 0.998 (0.993, 1.008) .512    
PCT 0.989 (0.858, 1.138) .876    
Hs‐CRP 1.002 (0.993, 1.047) .483    
Fibrinogen 1.110 (0.522, 2.367) .782    
D‐dimer 0.975 (0.942, 1.008) .115    

Abbreviation: BMI, body mass index; CI, confidence interval; HDL‐C, high‐density lipoprotein‐cholesterol; Hs‐CRP, high‐sensitivity C‐reactive protein; LDL‐C, low‐density lipoprotein‐cholesterol; Lp (a), lipoprotein (a); OR, odds ratio; PCT, procalcitonin; TC, total cholesterol.

a

The odds ratio of multivariate analysis was adjusted for all significant outcome predictors of the univariate logistic regression analysis.