Various arrhythmia types and their day-by-day occurrence rates over a 14-day period using a P-wave sensitive ambulatory ECG monitored population

Abstract Background Many studies on ECG monitoring and arrhythmia detection use the term “diagnostic yield”, a vague one without type of diagnostic precision that cardiologists value. Moreover, yield specific arrhythmias is not well understood day-by-day basis. Purpose We used continuous 14-day monitor to record incremental occurrence broad variety each day from general outpatient population suspected having an arrhythmia. Methods A total 546 patients were monitored for 14±1 in absence artifact would otherwise obscure rhythm. Without such stipulations, could be truly categorized as function time. Patients randomly selected who satisfied aforementioned criteria. The prescribed by patient's managing physician standard clinical indications, they spanned across 237 distinct institutions. recordings interpreted 3 serial readers clinically knowledgeable electrophysiological principles diagnostics. All reports then confirmed their entirety cardiac electrophysiologist. daily rate was tabulated. Of note, algorithmic AI approaches relied upon diagnoses. Results Select arrhythmia/conduction abnormalities are shown attached Figure, demonstrating different manifesting at rates. In 61% pts, least rhythm disorder found affect patient management over 14 days. 28% two disorders while 12% had three or more disorders. P-wave specificity aided identifying 67.9% those unique arrhythmias. When than identified, typically occurred contrast, 1-day report, if implemented, have diagnosed only 20% rarely multiple Conclusion Different categories manifest rates ECG. Clinical and/or conduction occur array 2 >3 disorders, usually occurring Lastly, rhythms identified due high fidelity signal. These findings suggest sensitive recording has substantive value even 1. Further, 1 (i.e., Holter duration) severely diminish should avoided. Funding Acknowledgement Type funding sources: None.