Literature DB >> 33184686

Predicting Atrial Fibrillation with High Risk of Embolization with Atrial Strain and NT-proBNP.

Jorge Pagola1, Jesus Juega2, Jaume Francisco-Pascual3, Alejandro Bustamante4, Anna Penalba4, Elena Pala4, Maite Rodriguez2, Mercedes De Lera-Alfonso5, Juan F Arenillas5, Juan Antonio Cabezas6, Francisco Moniche6, Reyes de Torres6, Joan Montaner6, Teresa González-Alujas7, Jose Alvarez-Sabin2, Carlos A Molina2.   

Abstract

The aim of the study was to determine markers of atrial dysfunction in patients with cryptogenic stroke to predict episodes of paroxysmal atrial fibrillation with high risk of embolization (HpAF). We classified patients included in the Crypto-AF study, Cryptogenic Stroke registry, to detect paroxysmal atrial fibrillation (pAF) with wearable Holter, according to the longest episode of pAF in three groups: without pAF detection, episodes of pAF shorter than 5 h, and episodes of pAF longer than 5 h (HpAF). Atrial dysfunction surrogates were evaluated: EKG pattern, Holter record and echocardiography parameters (left atria volume (LAVI), and peak atrial longitudinal and contraction strain (PALS and PACS). The level of N-terminal pro b-type natriuretic peptide (NT-proBNP) was determined. All patients were followed for 2 years to detect pAF and stroke recurrence. From 308 patients, 253 patients with high quality Holter analysis were selected. The distribution was No pAF 78.6% (n = 199), pAF < 5 h 7.9% (n = 20), and HpAF > 5 h 13.4% (n = 34). Age of the patients and combination of PALS and NT-proBNP independently predicted HpAF OR 1.07 (1.00; 1.15) and OR 3.05 (1.08; 8.60) respectively. The validity of PALS and NT-proBNP to detect patients at risk of HpAF was higher than the validity of age (AUC 0.82, sensitivity 78.95%, specificity 63%). Patients with PALS < 25% and NT-proBNP > 283 pg/ml had more detection of pAF during follow-up 35% vs. 5.1% OR 2.33 (1.05-5.13) (p < 0.001). Multimodal assessment of atrial dysfunction with PALS and NT-proBNP improved the prediction of pAF episodes with high embolic risk in patients with cryptogenic stroke.
© 2020. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Atrial fibrillation; Cryptogenic stroke; Left atrial strain; NT-proBNP; Stroke

Mesh:

Substances:

Year:  2020        PMID: 33184686     DOI: 10.1007/s12975-020-00873-2

Source DB:  PubMed          Journal:  Transl Stroke Res        ISSN: 1868-4483            Impact factor:   6.829


  11 in total

1.  European Stroke Organisation (ESO) guideline on screening for subclinical atrial fibrillation after stroke or transient ischaemic attack of undetermined origin.

Authors:  Marta Rubiera; Ana Aires; Kateryna Antonenko; Sabrina Lémeret; Christian H Nolte; Jukka Putaala; Renate B Schnabel; Anil M Tuladhar; David J Werring; Dena Zeraatkar; Maurizio Paciaroni
Journal:  Eur Stroke J       Date:  2022-06-03

2.  Development of a Score to Predict the Paroxysmal Atrial Fibrillation in Stroke Patients: The Screening for Atrial Fibrillation Scale.

Authors:  Laura Amaya Pascasio; Miguel Quesada López; Juan Manuel García-Torrecillas; Antonio Arjona-Padillo; Patricia Martínez Sánchez
Journal:  Front Neurol       Date:  2022-06-28       Impact factor: 4.086

Review 3.  Promising Biomarker Candidates for Cardioembolic Stroke Etiology. A Brief Narrative Review and Current Opinion.

Authors:  Arnold Markus; Schütz Valerie; Katan Mira
Journal:  Front Neurol       Date:  2021-02-25       Impact factor: 4.003

Review 4.  Cardiac monitoring for patients with palpitations.

Authors:  Jaume Francisco-Pascual; Javier Cantalapiedra-Romero; Jordi Pérez-Rodon; Begoña Benito; Alba Santos-Ortega; Jenson Maldonado; Ignacio Ferreira-Gonzalez; Nuria Rivas-Gándara
Journal:  World J Cardiol       Date:  2021-11-26

5.  Proteins and pathways in atrial fibrillation and atrial cardiomyopathy underlying cryptogenic stroke.

Authors:  Elena Palà; Jorge Pagola; Jesus Juega; Jaume Francisco-Pascual; Anna Penalba; Maite Rodriguez; Mercedes De Lera Alfonso; Juan F Arenillas; Juan Antonio Cabezas; Francisco Moniche; Reyes de Torres; Soledad Perez-Sanchez; Teresa González-Alujas; Carlos A Molina; Alejandro Bustamante; Joan Montaner
Journal:  Int J Cardiol Heart Vasc       Date:  2022-03-07

6.  Left Atrial Strain Helps Identifying the Cardioembolic Risk in Transient Ischemic Attacks Patients with Silent Paroxysmal Atrial Fibrillation.

Authors:  Sergiu Florin Arnăutu; Vlad Ioan Morariu; Diana Aurora Arnăutu; Mirela Cleopatra Tomescu; Traian Flavius Dan; Cătălin Dragos Jianu
Journal:  Ther Clin Risk Manag       Date:  2022-03-10       Impact factor: 2.423

7.  Signs of left atrial disease and 10-year risk of atrial fibrillation.

Authors:  Tobias Uhe; Tina Stegmann; Romy Langhammer; Nikolaos Dagres; Ulrich Laufs; Rolf Wachter
Journal:  PLoS One       Date:  2022-04-22       Impact factor: 3.240

Review 8.  Assessment of Left Atrial Structure and Function by Echocardiography in Atrial Fibrillation.

Authors:  Mengmeng Ji; Lin He; Lang Gao; Yixia Lin; Mingxing Xie; Yuman Li
Journal:  Diagnostics (Basel)       Date:  2022-08-05

9.  Mediterranean Diet and Atrial Fibrillation: Lessons Learned from the AFHRI Case-Control Study.

Authors:  Felix Alexander Neumann; Bettina Jagemann; Nataliya Makarova; Christin Susanna Börschel; Ghazal Aarabi; Friederike Gutmann; Renate B Schnabel; Birgit-Christiane Zyriax
Journal:  Nutrients       Date:  2022-09-01       Impact factor: 6.706

10.  Mechanism of Sevoflurane Anesthesia under Hypothermic Cardiopulmonary Bypass on Postoperative Atrial Fibrillation Rhythm in Patients Undergoing Mitral Valve Replacement.

Authors:  Hao Che; Yufang Lv; Fang Yao; Fang Zhao; Liyun Zhao
Journal:  Biomed Res Int       Date:  2022-06-28       Impact factor: 3.246

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