Logistic regression models for NAFLD as a predictor for development of AF in patients with type 2 diabetes.

Sample size, n = 400. Data are expressed as odds ratios ±95% confidence intervals as assessed by univariable (unadjusted) or multivariable logistic regression analyses.Other covariates included in multivariable logistic regression models were as follows: model 1: age and sex; model 2: age, sex, hypertension (blood pressure ≥140/90 mmHg or treatment), electrocardiographic PR interval and LVH; model 3: adjustment for variables included in the 10-year Framingham Heart Study-derived AF risk score (i.e. age, sex, BMI, systolic BP, hypertension treatment, electrocardiographic PR interval and history of heart failure).