High probability of atrial fibrillation by AI-ECG-AF score correlated with cerebral infarcts on MRI<\/p>\n<\/h3>\n
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WEDNESDAY, May 11, 2022 (HealthDay News) — An artificial intelligence-enabled electrocardiogram (AI-ECG) for atrial fibrillation (AF) is associated with cognition and may predict cognitive decline, according to a study published in the May issue of the Mayo Clinic Proceedings<\/em>.<\/p>\n Erika L. Weil, M.D., from the Mayo Clinic in Rochester, Minnesota, and colleagues conducted a population-based study involving sinus-rhythm ECG participants seen from Nov. 29, 2004, through July 13, 2020, and a subset with brain magnetic resonance imaging (MRI) seen from Oct. 10, 2011, through Nov. 2, 2017, to examine whether AI-ECG assessment of AF risk can predict cognitive decline. The AI-ECG-AF relationship with baseline cognitive dysfunction was determined by comparing models with global and domain-specific cognitive z<\/em>-scores from longitudinal neuropsychological assessments. A total of 3,729 participants underwent cognitive analysis.<\/p>\n The researchers found that the AI-ECG-AF score correlated with lower baseline and faster decline in global-cognitive z<\/em>-scores and attention z<\/em>-scores after adjustment for age, sex, education, and APOE<\/em> \u00ce\u00b54 status. A total of 1,373 sinus-rhythm participants underwent MRI; the AI-ECG-AF score correlated with infarcts, but after age and sex adjustments the correlation was not significant. An AI-ECG-AF score >0.5 correlated with infarcts in dichotomized analysis (odds ratio, 4.61); the significant correlation persisted even after age and sex adjustment (odds ratio, 2.09).<\/p>\n “The main finding is that the AI-ECG-AF score was associated with both baseline and future decline in global cognition and attention in individuals without known AF,” the authors write.<\/p>\n Several authors disclosed financial ties to the biopharmaceutical industry.<\/p>\n