Predictors of Finding Occult Atrial Fibrillation After Cryptogenic Stroke | Zendy

Christopher G. Favilla | Zendy; Erin Ingala | Zendy; Jenny Jara | Zendy; Emily Fessler | Zendy; Brett Cucchiara | Zendy; Steven R. Messé | Zendy; Michael T. Mullen | Zendy; Allyson Prasad | Zendy; James E. Siegler | Zendy; Mathew D. Hutchinson | Zendy; Scott E. Kasner | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Predictors of Finding Occult Atrial Fibrillation After Cryptogenic Stroke

Author(s) -

Christopher G. Favilla,

Erin Ingala,

Jenny Jara,

Emily Fessler,

Brett Cucchiara,

Steven R. Messé,

Michael T. Mullen,

Allyson Prasad,

James E. Siegler,

Mathew D. Hutchinson,

Scott E. Kasner

Publication year - 2015

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.114.007763

Subject(s) - medicine , atrial fibrillation , stroke (engine) , cardiology , odds ratio , confidence interval , ejection fraction , heart failure , outpatient clinic , univariate analysis , multivariate analysis , mechanical engineering , engineering

Occult paroxysmal atrial fibrillation (AF) is found in a substantial minority of patients with cryptogenic stroke. Identifying reliable predictors of paroxysmal AF after cryptogenic stroke would allow clinicians to more effectively use outpatient cardiac monitoring and ultimately reduce secondary stroke burden.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research