Screening for atrial fibrillation in 13 122 Hong Kong citizens with smartphone electrocardiogram

Chan, Ngai‐Yin; Choy, Chi-Chung

doi:10.1136/heartjnl-2016-309993

Cited by 109 publications

(67 citation statements)

References 29 publications

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“…Several studies have shown the efficacy of these devices for atrial fibrillation screening in populations at risk (table 3). 731323334353637383940…”

Section: Applications Of Newer Detection Methodsmentioning

confidence: 99%

Newer technologies for detection of atrial fibrillation

Zungsontiporn

Link

2018

BMJ

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Atrial fibrillation is a common arrhythmia that is associated with increased risk of stroke, which can be reduced with appropriate anticoagulation treatment. However, it remains underdiagnosed in contemporary clinical practice using conventional detection methods, resulting in missed opportunities to implement appropriate treatment. Newer technologies developed in recent years can potentially enhance the detection of atrial fibrillation and overcome certain limitations of the conventional methods. However, uncertainties remain about their use and the significance of atrial fibrillation detected by some of these newer technologies. This review examines the evidence supporting the use of some of these technologies and evaluates their applications in certain clinical scenarios.

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“…Several studies have shown the efficacy of these devices for atrial fibrillation screening in populations at risk (table 3). 731323334353637383940…”

Section: Applications Of Newer Detection Methodsmentioning

confidence: 99%

Newer technologies for detection of atrial fibrillation

Zungsontiporn

Link

2018

BMJ

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“…The early diagnosis of AF may lead to individualised lifestyle intervention and anticoagulation, and these steps may be associated with a reduction in complications and healthcare costs. The development of hand‐held electrocardiogram (ECG) screening devices, has increased the feasibility of AF screening. Appropriate selection of patients for screening is of critical importance; the development of a risk assessment score, based on the link between AF and clinical risk factors, is an important component of identifying individual patients at risk.…”

Section: Introductionmentioning

confidence: 99%

Association between socioeconomic status and incident atrial fibrillation

Ramkumar

Ochi²,

Yang³

et al. 2019

Internal Medicine Journal

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Background Low socioeconomic status is associated with cardiovascular diseases, and an association with atrial fibrillation (AF) could guide screening. Aim To investigate if indices of advantage/disadvantage (IAD), index of education/occupation (IEO) and index of economic resources were associated with incident AF, independent of risk factors and cardiac function. Methods We studied community‐based participants aged ≥65 years with AF risk factors (n = 379, age 70 ± 4 years, 45% men). The CHARGE‐AF score (a well validated AF risk score) was used to assess 5‐year risk of developing AF. Participants also had baseline echocardiograms. IAD, IEO and index of economic resources were obtained from the 2011 Socio‐Economic Indexes for Areas score, in which higher decile ranks indicate more advantaged areas. Patients were followed up for incident AF (median 21 (range 5–31) months), with AF diagnosed by clinical review, including 12‐lead electrocardiogram (ECG), as well as single‐lead portable ECG monitoring used to record 60 s ECG tracings five times/day for 1 week. Cox proportional hazards models were used to assess the association between socioeconomic status and incident AF. Results Subjects with AF (n = 50, 13%) were more likely to be male (64 vs 42%, P = 0.003) and had higher CHARGE‐AF score (median 7.1% (5.2–12.8%) vs 5.3% (3.3–8.6%), P < 0.001). Areas with lower socioeconomic status (IAD and IEO) had a higher risk of incident AF independent of LV function and CHARGE‐AF score (hazard ratio for IAD 1.16, 95% confidence interval 1.05–1.29, P = 0.005 and hazard ratio for IEO 1.18, 95% confidence interval 1.07–1.30, P = 0.001). Conclusion Regional socioeconomic status is associated with risk of incident AF, independent of LV function and clinical risk. This association might permit better regional targeting of prevention.

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“…Various screening approaches have been proposed in papers previously published in Heart , including use of smartphone ECGs in the general population4 and handheld ECG devices in hospitalised geriatric patients,5 to name just a few 6. Linker and colleagues7 propose a new risk score based on clinical variables, without an ECG, to identify patients at risk of AF development.…”

mentioning

confidence: 99%