Diederichsen SZ, Haugan KJ, Brandes A, et al. - Researchers evaluated atrial fibrillation (AF) through long-term continuous screening and identified the factors that could predict episodes lasting ≥ 6 minutes, ≥ 5.5 hours or ≥ 24 hours, respectively. From the general population, they recruited 597 patients aged ≥ 70 years and diagnosed with ≥ 1 of hypertension, diabetes, previous stroke, or heart failure. These patients received implantable loop recorder with remote monitoring. Individuals with a history of AF or cardiac implantable electronic device were excluded. They identified the presence of AF in 209 (35%) of the patients during 40 [37;42] months of continuous monitoring. Findings showed that long-term monitoring in at-risk patients led to the detection of a considerable burden of previously unknown AF. Factors that were independently related to AF detection were slower resting sinus rate and higher body mass index, NT-proBNP, and troponin T at baseline. An improved prediction of AF episodes ≥ 24 hours was achieved by adding these markers to a model of gender, age, and comorbidities.