Key result
Atrial-derived electrogram variables improved the prediction of new-onset postoperative atrial fibrillation (AUC 0.796; 95% CI 0.698-0.894) compared with standard ECG and clinical models.
Why the study?
Postoperative atrial fibrillation is a common complication after cardiac surgery associated with prolonged hospitalization, complications, and mortality, prompting investigation into early atrial electrograms for risk prediction.
Do early atrial electrograms improve the prediction of new-onset postoperative atrial fibrillation in adult patients undergoing cardiac surgery?
Observational (n=99)
Do early atrial electrograms improve the prediction of new-onset postoperative atrial fibrillation in adult patients undergoing cardiac surgery?
Effect estimate: AUC 0.796 (95% CI 0.698-0.894)
Early postoperative atrial electrograms improve the prediction of new-onset postoperative atrial fibrillation compared to standard clinical and ECG models in patients undergoing cardiac surgery.
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May improve POAF prediction post-cardiac surgery; hypothesis-generating and requires prospective validation before adoption.
Rasmussen et al. (2022) conducted an observational in Postoperative atrial fibrillation (POAF) (n=99). Atrial-derived electrogram variables vs. Standard 12-lead ECG and clinical models was evaluated on New-onset POAF within one month postoperatively (AUC 0.796, 95% CI 0.698-0.894). Atrial-derived electrogram variables improved the prediction of new-onset postoperative atrial fibrillation (AUC 0.796; 95% CI 0.698-0.894) compared with standard ECG and clinical models.
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