Atrial arrhythmias are one of the most commonly occurring alerts in remote cardiac monitoring. However, not all alerts related to atrial burden trends may be clinically relevant, as they may correspond to a known and treated condition and fail to highlight changes requiring attention. For a medical center following 1,000 patients, spending 2 minutes to review each alert would total 32 hours per month!
of alert review for a medical center following 1,000 patients, at 2 minutes per alert.
Focus on the major stages in the AF trend of the patient
A new algorithm tackling alert noise from atrial arrhythmia
A retrospective study analyzed real-life data from more than 4,000 recipients of Abbott, Biotronik, Boston Scientific, or Medtronic CIED who were being continuously monitored for AF. Implicity compared the incidence of standard CIED-transmitted alerts from device manufacturers with the incidence of events detected after filtering by Implicity’s algorithm.
Results showed the algorithm broke down 67,883 AF burden-related alerts into 9,728 (14.3%) clinically relevant AF events, according to the European Society of Cardiology classification. Notably, the median number of alerts per patient year decreased by 57.9%2.
Dowload the study– Device data, such as atrial burden raw data
– Clinical data, such as anticoagulant medications
– Filters out noisy and irrelevant manufacturers “atrial burden above threshold” alerts, during the period when patients take anticoagulants
– Triggers smart alerts notifying of any significant changes in AF care
– Consider proposing therapies to the patient, such as ablation (Paroxysmal AF, increasing paroxysmal AF, persistent AF)
– Assess the success of therapies (Back to sinus rhythm or paroxysmal AF)
– The current AF status of the patient is displayed, including dates and details.
– The full history of the patient’s AF statuses is synchronised with the AF burden trend graph.
The Implicity logo appears before each Smart Alert.
