Community screening with a smartphone-based single-lead ECG was feasible, detecting a 1.8% prevalence of atrial fibrillation and identifying newly diagnosed AF in 0.8% of participants.
Cross-Sectional (n=13,122)
Objective The purpose of this study was to assess the feasibility of community screening for atrial fibrillation (AF) using a smartphone-based wireless single-lead ECG (SL-ECG) and to generate epidemiological data on the prevalence and risk factors of AF in Hong Kong. Methods In the period between 1 May 2014 to 30 April 2015, 13 122 Hong Kong citizens consented and voluntarily participated in a territory-wide community-based AF screening programme. Results 56 (0.4%) out of 13 122 SL-ECG were uninterpretable. 101 (0.8%) participants had newly diagnosed AF, with 66 (65.3%) being asymptomatic. The congestive heart failure, hypertension, age>75(doubled), diabetes, stroke(doubled), vascular disease, age 65–74, sex(female) score (CHA 2 DS 2 VASc score) of participants with newly diagnosed AF was 3.1±1.3. The prevalence rates for AF detected by SL-ECG was 1.8% and for AF detected by SL-ECG or self-reported by participants was 8.5%. Using multivariable logistic regression analysis, independent predictors of AF include age, sex, height, weight, body mass index, history of heart failure, valvular heart disease, stroke, hyperlipidaemia, coronary artery disease, peripheral artery disease and cardiothoracic surgery. Conclusion Community screening for AF with SL-ECG was feasible and it identified a significant proportion of citizens with newly diagnosed AF. The prevalence of AF in a Chinese population in Hong Kong was comparable with that of contemporary Western counterparts. Apart from age and sex, different anthropometric parameters and cardiovascular comorbid conditions were identified as independent predictors of AF.
Chan et al. (Wed,) conducted a cross-sectional in Atrial fibrillation (n=13,122). Smartphone-based wireless single-lead ECG (SL-ECG) was evaluated on Prevalence of AF detected by SL-ECG. Community screening with a smartphone-based single-lead ECG was feasible, detecting a 1.8% prevalence of atrial fibrillation and identifying newly diagnosed AF in 0.8% of participants.