Literature DB >> 28153345

Usefulness of the MrWALLETS Scoring System to Predict First Diagnosed Atrial Fibrillation in Patients With Ischemic Stroke.

Antonio Muscari1, Andrea Bonfiglioli2, Luca Faccioli3, Marco Ghinelli4, Donatella Magalotti2, Francesco Manzetto5, Anna Pontarin5, Giovanni M Puddu2, Luca Spinardi3, Eleonora Tubertini5, Marco Zoli6.   

Abstract

Some cryptogenic strokes are caused by undetected paroxysmal atrial fibrillation (AF) and could benefit from oral anticoagulation. In this study, we searched for echocardiographic parameters associated with first diagnosed AF, to form a scoring system for the identification of patients with AF. We examined 571 patients with ischemic stroke (72.7 ± 13.5 years, 50.6% women), subdivided into 4 groups: documented cause without AF, first diagnosed AF, known paroxysmal AF, and permanent AF. All patients underwent transthoracic echocardiography, brain computed tomography scan, carotid/vertebral ultrasound, and continuous electrocardiographic monitoring. Eight factors independently characterized first diagnosed AF and formed the "MrWALLETS" score: mitral regurgitation, mild-to-moderate (+1), white matter lesions (-1), age ≥75 years (+1), left atrium ≥4 cm (+1), cerebral lesion diameter ≥4 cm (+1), left ventricular end-diastolic volume <65 ml (+1), tricuspid regurgitation ≥moderate (+1), carotid stenosis ≥50% (-1). In the patients with ≥3 points, positive predictive value was 80%, specificity 97.5%, and sensitivity 57.1%. In the patients with ≥2 points sensitivity rose to 85.7%, but positive predictive value was 47.1%. The area under the receiver-operating characteristic curve was 0.89 (95% CI 0.83 to 0.95). There were important differences among AF groups, which therefore could not be merged. In conclusion, 4 echocardiographic parameters, 3 additional instrumental parameters, and age allow the identification of stroke patients with first diagnosed AF with high positive predictive value.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 28153345     DOI: 10.1016/j.amjcard.2016.12.009

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  2 in total

1.  Validation of Risk Scores for Predicting Atrial Fibrillation Detected After Stroke Based on an Electronic Medical Record Algorithm: A Registry-Claims-Electronic Medical Record Linked Data Study.

Authors:  Cheng-Yang Hsieh; Hsuan-Min Kao; Kuan-Lin Sung; Luciano A Sposato; Sheng-Feng Sung; Swu-Jane Lin
Journal:  Front Cardiovasc Med       Date:  2022-04-29

2.  Usefulness of Transesophageal Echocardiography for Predicting Covert Paroxysmal Atrial Fibrillation in Patients with Embolic Stroke of Undetermined Source.

Authors:  Yuichiro Ohya; Masato Osaki; Shigeru Fujimoto; Juro Jinnouchi; Takayuki Matsuki; Satomi Mezuki; Masaya Kumamoto; Makoto Kanazawa; Naoki Tagawa; Tetsuro Ago; Takanari Kitazono; Shuji Arakawa
Journal:  Cerebrovasc Dis Extra       Date:  2019-09-20
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.