Introduction: The diagnostic performance of EKG in ruling out myocardial abnormalities following COVID-19 is unclear. Aim: To assess the ability of EKG to exclude cardiac abnormalities on cardiac magnetic resonance imaging (CMR) in post-hospitalised COVID-19 patients. Methods: Post-hospitalized patients (n=212) & comorbidities matched controls (n=38) underwent CMR and 12-lead EKG. EKG assessments included depolarization & repolarization abnormalities [ QTc , corrected QT dispersion ( QTc disp ), JT ( JTc ) & T peak-end ( cTPe ) intervals]. CMR abnormalities were defined as reduced left ventricular ejection fraction (LVEF), high T1 & T2 Z scores and high extracellular volume and pathological late gadolinium enhancement. Results: At 5.6 months post-discharge, patients had a higher burden of EKG abnormalities vs controls (72.2% vs 42.1%, p=0.001 ) (Figure A) . CMR abnormalities were comparable despite patients having lower LVEF. Abnormal EKG findings and prolonged repolarization were more common in patients with CMR abnormalities vs patients with normal CMR and controls ( Figure A & B ). Area-under-the-receiver-operating curve (AUROC) of routine EKG abnormalities to discriminate abnormal CMR was 0.56 (95% CI 0.47-0.65), p=0.185. Inclusion of JTc & QTc disp improved the AUROC to 0.64 (95% CI 0.55-0.74), p=0.002. Inclusion of JTc ≥340ms & QTc disp ≥40ms improved the sensitivity from 81.6% to 99.9% with higher negative predictive value (84.7% to 99.9%) ( Figure A ). Conclusions: Post-hospitalized COVID-19 patients have more EKG abnormalities than comorbidities-matched controls. A normal EKG with normal repolarization is effective in ruling out significant CMR abnormalities.