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. 2016 Jan 6;2016:7650976. doi: 10.1155/2016/7650976

Table 4.

Univariate and multivariate logistic regression analyses in association with AF.

Univariate logistic regression Multivariate logistic regression
Model 1 Model 2
OR 95% CI p value OR 95% CI p value OR 95% CI p value
Age 1.335 0.89–2.00 0.16 1.452 0.90–2.34 0.13 1.455 0.90–2.34 0.12
Gender 2.739 1.20–6.23 0.016 2.193 0.87–5.54 0.10 3.036 1.20–7.68 0.02
BMI 1.027 0.92–1.15 0.64
HT 2.378 1.06–5.33 0.04 2.141 0.83–5.55 0.12 2.578 1.01–6.61 0.05
EF 1.001 0.95–1.06 0.97
LAD 1.061 0.99–1.13 0.08
eGFR 0.977 0.95–1.00 0.12
T-chol 0.986 0.99–1.01 0.71
HbA1c 0.627 0.32–1.22 0.17 0.431 0.18–1.06 0.07
Glu 1.363 1.14–1.63 <0.001 1.375 1.13–1.68 0.002
Tau 1.286 1.05–1.58 0.017 1.410 1.10–1.80 0.006

CI: confidence interval, OR: odds ratio; other abbreviations are as in Table 3. BMI, EF, LAD, eGFR, and T-chol were subjected to analysis at 1 kg/m2, 1%, 1 mm, 1 mL/min/1.73 m2, and 1 mg/dL increase, respectively. Age and Glu/Tau were per 10-year and 10-nmol/mL increase, respectively. In the regression analyses, male = 1 and female = 2; absence of hypertension = 1 and presence = 2. Model 1 includes all clinical and laboratory variables in addition to Glu, but not Tau. Model 2 includes all variables in addition to Tau, but not Glu.