Literature DB >> 33279992

Prediction of low-voltage areas using modified APPLE score.

Timm Seewöster1, Falco Kosich1, Philipp Sommer2, Livio Bertagnolli1, Gerhard Hindricks1, Jelena Kornej3.   

Abstract

AIMS: The presence of low-voltage areas (LVAs) in patients with atrial fibrillation (AF) reflects left atrial (LA) electroanatomical substrate, which is essential for individualized AF management. However, echocardiographic anteroposterior LA diameter included into previous LVAs prediction scores does not mirror LA size accurately and impaired left ventricular ejection fraction (LV-EF) is not directly associated with atrial myopathy. Therefore, we aimed to compare a modified (m)APPLE score, which included LA volume (LAV) and LA emptying fraction (LA-EF) with the regular APPLE score for the prediction of LVAs. METHODS AND
RESULTS: In patients undergoing first AF catheter ablation, LVAs were determined peri-interventionally using high-density maps and defined as signal amplitude <0.5 mV. All patients underwent cardiovascular magnetic resonance imaging before intervention. The APPLE (one point for Age ≥ 65 years, Persistent AF, imPaired eGFR ≤ 60 mL/min/1.73 m2, LA diameter ≥ 43 mm, and LVEF < 50%) and (m)APPLE (last two variables changed by LAV ≥ 39 mL/m2, and LA-EF < 31%) scores were calculated at baseline. The study population included 219 patients [median age 65 (interquartile range 57-72) years, 41% females, 59% persistent AF, 25% LVAs]. Both scores were significantly associated with LVAs [OR 1.817, 95% CI 1.376-2.399 for APPLE and 2.288, 95% CI 1.650-3.172 for (m)APPLE]. Using receiver operating characteristic curves analysis, the (m)APPLE score [area under the curve (AUC) 0.779, 95% CI 0.702-0.855] showed better LVAs prediction than the APPLE score (AUC 0.704, 95% CI 0.623-0.784), however, without statistically significant difference (P = 0.233).
CONCLUSION: The modified (m)APPLE score demonstrated good prognostic value for LVAs prediction and was comparable with the regular APPLE score. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  APPLE score; Atrial fibrillation; Cardiovascular magnetic resonance imaging; Electroanatomical remodelling; Low-voltage areas; Non-invasive prediction

Year:  2021        PMID: 33279992     DOI: 10.1093/europace/euaa311

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  7 in total

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Review 2.  Left Atrial Cardiomyopathy - A Challenging Diagnosis.

Authors:  Fabienne Kreimer; Michael Gotzmann
Journal:  Front Cardiovasc Med       Date:  2022-06-30

3.  The pre-ablation triglyceride-glucose index predicts late recurrence of atrial fibrillation after radiofrequency ablation in non-diabetic adults.

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4.  Predictors of left atrial fibrosis in patients with atrial fibrillation referred for catheter ablation.

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Journal:  Cardiol J       Date:  2022-03-14       Impact factor: 3.487

5.  Pre-procedural predictors of left atrial low-voltage zones in patients undergoing catheter ablation of atrial fibrillation.

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Journal:  PLoS One       Date:  2022-04-12       Impact factor: 3.240

6.  Left atrial epicardial adipose tissue is associated with low voltage zones in the left atrium in patients with non-valvular atrial fibrillation.

Authors:  Yameng Shao; Lei Chen; Wensu Chen; Chuanyi Sang; Changjiang Xu; Chaoqun Zhang
Journal:  Front Cardiovasc Med       Date:  2022-07-14

7.  The Role of Fatty Acid-Binding Protein 4 in the Characterization of Atrial Fibrillation and the Prediction of Outcomes after Catheter Ablation.

Authors:  José Nicolás López-Canoa; Marinela Couselo-Seijas; Teba González-Ferrero; Cristina Almengló; Ezequiel Álvarez; Adrián González-Maestro; Laila González-Melchor; José Luis Martínez-Sande; Javier García-Seara; Jesús Fernández-López; Bahij Kreidieh; Eva González-Babarro; José Ramón González-Juanatey; Sonia Eiras; Moisés Rodríguez-Mañero
Journal:  Int J Mol Sci       Date:  2022-09-21       Impact factor: 6.208

  7 in total

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