Table 8

Univariate and multivariable logistic regression model to predict newly detected AF

	Univariate			Multivariable			AUC
	OR	95% CI	p Value	OR	95% CI	p Value	AUC
Female sex	0.481	0.324 to 0.715	<0.001	0.624	0.401 to 0.972	0.037
Age (per year)	1.095	1.072 to 1.117	<0.001	1.10	1.073 to 1.122	<0.001	0.768
Weight (per kg)	1.015	0.997 to 1.033	0.101	1.026	1.005 to 1.048	0.016	0.548
Height (per cm)	1.005	0.983 to 1.028	0.639
BMI (per kg/m²)	1.041	0.988 to 1.097	0.128	0.911	0.859 to 0.966	0.002
Weight circumference (per cm)	1.042	1.022 to 1.063	<0.001	1.007	0.972 to 1.043	0.697
Comorbid conditions
Hypertension	0.926	0.806 to 1.064	0.279
Diabetes	1.235	1.108 to 1.377	<0.001	1.09	0.972 to 1.223	0.139
Hyperlipidaemia	1.055	0.961 to 1.158	0.264
Heart failure	1.446	1.183 to 1.768	<0.001	1.251	0.992 to 1.576	0.058
Stroke	1.202	1.106 to 1.306	<0.001	1.118	1.025 to 1.219	0.012
Coronary artery disease	1.131	1.010 to 1.266	0.033	0.992	0.866 to 1.136	0.909
Valvular heart disease	1.129	1.129 to 1.393	<0.001	1.188	1.048 to 1.347	0.007
Thyroid disease	0.957	0.872 to 1.051	0.360
Obstructive sleep apnoea	1.012	0.894 to 1.146	0.848
Cardiothoracic surgery	4.031	1.84 to 8.832	<0.001	2.187	0.946 to 5.095	0.067

AF, atrial fibrillation; AUC, area under curve; BMI, body mass index; COPD, chronic obstructive pulmonary disease.