Key result
Opportunistic screening using an automatic blood pressure monitor with an AF detection algorithm identified possible AF in 12 of 220 participants, with 4 (1.8%) confirmed by ECG.
Why the study?
Does opportunistic screening with an automatic blood pressure monitor detect atrial fibrillation in an unselected community population?
Cross-Sectional (n=220)
No
Does opportunistic screening with an automatic blood pressure monitor detect atrial fibrillation in an unselected community population?
Opportunistic screening for atrial fibrillation using an automated blood pressure monitor is feasible in the community and successfully identifies previously undetected AF, particularly in older adults.
May support community AF screening feasibility; hypothesis-generating and requires larger outcome trials before adoption.
OBJECTIVE: Timely detection of atrial fibrillation (AF) may effectively prevent cardiovascular consequences. However, traditional diagnostic tools are either poorly reliable (pulse palpation) or not readily accessible (ECG) in general practice. We tested whether an automatic oscillometric blood pressure (BP) monitor embedded with an algorithm for AF detection might be effective for opportunistic screening of asymptomatic AF in the community. SETTING: A community-based screening campaign in an unselected population to verify the feasibility of AF screening with a Microlife WatchBP Office BP monitor with a patented AFIB algorithm. When possible AF was detected (≥2 of 3 BP measurements reporting AF), a doctor immediately performed a single-lead ECG in order to confirm or exclude the presence of the arrhythmia. The main demographic and clinical data were also collected. PARTICIPANTS: 220 consecutive participants from an unselected sample of individuals in a small Italian community. PRIMARY AND SECONDARY OUTCOME MEASURES: Number of patients detected with AF and diagnosed risk factors for AF. RESULTS: In 12 of 220 participants, the device detected possible AF during the BP measurement: in 4 of them (1.8%), the arrhythmia was confirmed by the ECG. Patients with AF were more likely to be older (77.0±1.2 vs 57.2±15.2 years, p=0.010), obese (50.0 vs 14.4%, p=0.048) and to suffer from a cardiovascular disease (50.0 vs 10.6%, p=0.014) than patients without AF. Participants with a positive BP AF reading and non-AF arrhythmias (n=8) did not differ in their general characteristics from participants with a negative BP AF reading and were younger than patients with AF (mean age 56.4±14.8, p=0.027; 5 of 8 participants aged <65 years). CONCLUSIONS: Opportunistic screening of AF by BP measurement is feasible to diagnose this arrhythmia in unaware participants, particularly in those older than 65 years, who are the target patient group recommended by current AF screening guidelines.
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Omboni et al. (2016) conducted a cross-sectional in Atrial fibrillation (n=220). Automatic oscillometric blood pressure monitor with AFIB algorithm was evaluated on Number of patients detected with AF and diagnosed risk factors for AF. Opportunistic screening using an automatic blood pressure monitor with an AF detection algorithm identified possible AF in 12 of 220 participants, with 4 (1.8%) confirmed by ECG.
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