iRhythm announces results of new retrospective analysis on ECG monitoring

iRhythm Technologies announced the results of a new retrospective analysis, conducted in partnership with Duke Health, that found incorporating ECG data from long-term continuous monitoring can more accurately predict heart failure hospitalization compared to clinical history or risk scores alone. This data was presented at the American Heart Association’s 2023 Scientific Sessions in Philadelphia held November 11-13. The findings of this retrospective analysis of 224,682 patients with 14-day long-term continuous monitoring and clinical data show that a new predictive model for heart failure hospitalization that adds ambulatory ECG features to clinical risk factors resulted in a more accurate discrimination of future heart failure hospitalization compared to clinical risk scores such as CHA2DS2-VASc or atrial fibrillation burden alone. The ambulatory ECG findings with the greatest predictive value were the presence of premature ventricular couplets and presence of Afib. Minimal and maximum heart rate, commonly found in over-the-counter wearable devices, were not predictive or informative.