Table 3

Univariate and multivariable logistic regression model to predict AF detected by SL-ECG

	Univariate			Multivariable
	OR	95% CI	p Value	OR	95% CI	p Value
Female sex	0.501	0.387 to 0.649	<0.001	0.866	0.612 to 1.225	0.417
Age (per year)	1.083	1.069 to 1.097	<0.001	1.09	1.075 to 1.106	<0.001
Weight (per kg)	1.02	1.008 to 1.032	<0.001	1.061	1.041 to 1.082	<0.001
Height (per cm)	1.013	0.998 to 1.028	0.079	0.98	0.891 to 1.079	0.684
BMI (per kg/m²)	1.044	1.01 to 1.08	0.012	0.911	0.859 to 0.966	0.002
Weight circumference (per cm)	1.037	1.024 to 1.05	<0.001	0.988	0.965 to 1.011	0.307
Comorbid conditions
Hypertension	1.004	0.92 to 1.028	0.924
Diabetes	1.189	1.105 to 1.28	<0.001	1.074	0.994 to 1.16	0.071
Hyperlipidaemia	1.053	0.992 to 1.118	0.09	0.975	0.914 to 1.041	0.452
Heart failure	1.436	1.3 to 1.587	<0.001	1.188	1.057 to 1.334	0.004
Stroke	1.192	1.129 to 1.259	<0.001	1.110	1.047 to 1.176	<0.001
Coronary artery disease	1.13	1.065 to 1.2	<0.001	1.013	0.947 to 1.085	0.701
Valvular heart disease	1.269	1.205 to 1.337	<0.001	1.229	1.156 to 1.307	<0.001
Peripheral artery disease	1.09	0.981 to 1.212	0.110	0.973	0.57 to 1.104	0.669
Thyroid disease	0.957	0.902 to 1.015	0.146	0.937	0.878 to 1	0.05
Obstructive sleep apnoea	0.982	0.9 to 1.072	0.683
Cardiothoracic surgery	4.437	2.89 to 6.813	<0.001	2.141	1.34 to 3.422	0.001

AF, atrial fibrillation; BMI, body mass index; SL-ECG, wireless single-lead ECG.