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Dataset Information

Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation.


ABSTRACT:

Background

The early recognition of paroxysmal atrial fibrillation (pAF) is a major clinical challenge for preventing thromboembolic events. In this prospective and multicentric study we evaluated prediction scores for the presence of pAF, calculated from non-invasive medical history and echocardiographic parameters, in patients with unknown AF status.

Methods

The 12-parameter score with parameters age, LA diameter, aortic root diameter, LV,ESD, TDI A', heart frequency, sleep apnea, hyperlipidemia, type II diabetes, smoker, ß-blocker, catheter ablation, and the 4-parameter score with parameters age, LA diameter, aortic root diameter and TDI A' were tested. Presence of pAF was verified by continuous electrocardiogram (ECG) monitoring for up to 21 days in 305 patients.

Resu

SUBMITTER: Schmidt C 

PROVIDER: S-EPMC8166666 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature