AccScience Publishing / BH / Volume 1 / Issue 2 / DOI: 10.36922/bh.0955
Cite this article
89
Download
818
Views
Journal Browser
Volume | Year
Issue
Search
News and Announcements
View All
REVIEW

Clinical predictive scores for detection of sub-clinical atrial fibrillation after cryptogenic or embolic stroke of undetermined source: A brief systematic review

Luca Masotti1* Elisa Grifoni1
Show Less
1 Internal Medicine II and Stroke Unit, San Giuseppe Hospital, Empoli, Italy
Brain & Heart 2023, 1(2), 0955 https://doi.org/10.36922/bh.0955
Submitted: 16 May 2023 | Accepted: 12 September 2023 | Published: 24 October 2023
© 2023 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Subclinical atrial fibrillation (SAF) is the primary underlying cause of cryptogenic stroke (CS) or embolic stroke of undetermined source (ESUS), particularly in patients over 65 years of age. Therefore, it is strongly recommended screening for SAF in these patients. The development of tools designed to determine the priority of SAF screening is essential for optimizing the diagnostic workup. The aim of our study was to investigate the clinical predictive scores available for SAF detection in patients with CS or ESUS. We gathered data from articles published on the PubMed database from January 1, 2000, to January 31, 2023. Our search yielded eight scores for CS and three for ESUS. SAF diagnosis was established using various methods: 12-lead ECG or 24-h ECG monitoring during 1-year follow-up in three scores; 72-h non-implantable ECG monitoring in two scores; 2 or 3-week non-implantable ECG monitoring in three scores; and implantable ECG monitoring in one score. In two scores, ECG monitoring was performed using a non-implantable and/or implantable loop recorder. Overall, the rate of SAF detection was approximately 6% when using devices for monitoring lasting no more than 72 h and increased to nearly 22% employing 2 or 3-week non-implantable or implantable devices. SAF was defined differently in various scores; five scores considered any episode, even if shorter than 30 s, while six scores required episodes to last at least 30 s. Advanced age was included as a variable in 10 of 11 scores, whereas left atrial enlargement, premature atrial beats, and brain computed tomography characteristics were features in four scores. The area under the curve values of these scores ranged from 0.72 to 0.94. In conclusion, it is still challenging to put the currently available clinical scores to use due to a lack of validation. To provide more comprehensive guidance, it is essential to conduct large prospective multicenter trials in the future.

Keywords
Stroke
Atrial fibrillation
Score
Electrocardiographic monitoring
Age
Funding
None.
References
  1. Hart RG, Catanese L, Perera KS, et al., 2017, Embolic stroke of undetermined source: A systematic review and clinical update. Stroke, 48: 867–872. https://doi.org/10.1161/strokeaha.116.016414

 

  1. Hart RG, Sharma M, Mundl H, et al., 2018, Rivaroxaban for stroke prevention after embolic stroke of undetermined source. N Engl J Med, 378: 2191–2201. https://doi.org/10.1056/nejmoa1802686

 

  1. Diener HC, Sacco RL, Easton JD, et al., 2019, Dabigatran for prevention of stroke after embolic stroke of undetermined source. N Engl J Med, 380: 1906–1917. https://doi.org/10.1056/nejmoa1813959

 

  1. Diener HC, Hankey GJ, Easton JD, et al., 2020, Non-vitamin K oral anticoagulants for secondary stroke prevention in patients with atrial fibrillation. Eur Heart J Suppl, 22: I13–I21. https://doi.org/10.1093/eurheartj/suaa104

 

  1. Schnabel RB, Haeusler KG, Healey JS, et al., 2019, Searching for atrial fibrillation poststroke: A white paper of the AF-SCREEN international collaboration. Circulation, 140: 1834–1850. https://doi.org/10.1161/circulationaha.119.040267

 

  1. Rubiera M, Aires A, Antonenko K, et al., 2022, European Stroke Organisation (ESO) guideline on screening for subclinical atrial fibrillation after stroke or transient ischaemic attack of undetermined origin. Eur Stroke J, 7: VI. https://doi.org/10.1177/23969873221099478

 

  1. Bugnicourt JM, Flament M, Guillaumont MP, et al., 2013, Predictors of newly diagnosed atrial fibrillation in cryptogenic stroke: A cohort study. Eur J Neurol, 20: 1352–1359. https://doi.org/10.1111/ene.12017

 

  1. Sudacevschi V, Bertrand C, Chadenat ML, et al., 2016, Predictors of occult atrial fibrillation in one hundred seventy-one patients with cryptogenic transient ischemic attack and minor stroke. J Stroke Cerebrovasc Dis, 25: 2673–2677. https://doi.org/10.1016/j.jstrokecerebrovasdis.2016.07.014

 

  1. Kwong C, Ling AY, Crawford MH, et al., 2017, A clinical score for predicting atrial fibrillation in patients with cryptogenic stroke or transient ischemic attack. Cardiology, 138: 133–140. https://doi.org/10.1159/000476030

 

  1. Uphaus T, Weber-Krüger M, Grond M, et al., 2019, Development and validation of a score to detect paroxysmal atrial fibrillation after stroke. Neurology, 92: e115–e124. https://doi.org/10.1212/wnl.0000000000006727

 

  1. Muscari A, Barone P, Faccioli L, et al., 2020, Usefulness of the ACTEL score to predict atrial fibrillation in patients with cryptogenic stroke. Cardiology, 145: 168–177. https://doi.org/10.1159/000505262

 

  1. Kneihsl M, Bisping E, Scherr D, et al., 2022, Predicting atrial fibrillation after cryptogenic stroke via a clinical risk score-a prospective observational study. Eur J Neurol, 29: 149–157. https://doi.org/10.1111/ene.15102

 

  1. Vera A, Cecconi A, Ximénez-Carrillo Á, et al., 2022, A comprehensive model to predict atrial fibrillation in cryptogenic stroke: The decryptoring score. J Stroke Cerebrovasc Dis, 31: 106161. https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.106161

 

  1. Skrebelyte-Strøm L, Rønning OM, Dahl FA, et al., 2022, Prediction of occult atrial fibrillation in patients after cryptogenic stroke and transient ischaemic attack: PROACTIA. Europace, 24: 1881–1888. https://doi.org/10.1093/europace/euac092

 

  1. Ricci B, Chang AD, Hemendinger M, et al., 2018, A simple score that predicts paroxysmal atrial fibrillation on outpatient cardiac monitoring after embolic stroke of unknown source. J Stroke Cerebrovasc Dis, 27: 1692–1696. https://doi.org/10.1016/j.jstrokecerebrovasdis.2018.01.028

 

  1. Ntaios G, Perlepe K, Lambrou D, et al., 2021, Identification of patients with embolic stroke of undetermined source and low risk of new incident atrial fibrillation: The AF-ESUS score. Int J Stroke, 16: 29–38. https://doi.org/10.1177/1747493020925281

 

  1. Grifoni E, Baldini G, Baldini M, et al., 2023, Post-stroke detection of subclinical paroxysmal atrial fibrillation in patients with embolic stroke of undetermined source in the real world practice: The Empoli ESUS atrial fibrillation (E 2 AF) study. Neurologist, 28: 25–31. https://doi.org/10.1097/nrl.0000000000000440

 

  1. Noubiap JJ, Agbaedeng TA, Kamtchum-Tatuene J, et al., 2021, Rhythm monitoring strategies for atrial fibrillation detection in patients with cryptogenic stroke: A systematic review and meta-analysis. Int J Cardiol Heart Vasc, 34: 100780. https://doi.org/10.1016/j.ijcha.2021.100780

 

  1. Ratajczak-Tretel B, Lambert AT, Al-Ani R, et al., 2023, Underlying causes of cryptogenic stroke and TIA in the nordic atrial fibrillation and stroke (NOR-FIB) study-the importance of comprehensive clinical evaluation. BMC Neurol, 23: 115. https://doi.org/10.1186/s12883-023-03155-0

 

  1. Ratajczak-Tretel B, Lambert AT, Al-Ani R, et al., 2023, Atrial fibrillation in cryptogenic stroke and TIA patients in the Nordic Atrial Fibrillation and Stroke (NOR-FIB) Study: Main results. Eur Stroke J, 8: 148–156. https://doi.org/10.1177/23969873221123122

 

  1. Kalarus Z, Mairesse GH, Sokal A, et al., 2023, Searching for atrial fibrillation: Looking harder, looking longer, and in increasingly sophisticated ways. An EHRA position paper. Europace, 25: 185–198. https://doi.org/10.1093/europace/euac144

 

  1. Calkins H, Brugada J, Packer DL, et al., 2007, HRS/EHRA/ ECAS expert consensus statement on catheter and surgical ablation of atrial fibrillation: Recommendations for personnel, policy, procedures and follow-up. A report of the Heart Rhythm Society (HRS) Task Force on Catheter and Surgical Ablation of Atrial Fibrillation developed in partnership with the European Heart Rhythm Association (EHRA) and the European Cardiac Arrhythmia Society (ECAS); in collaboration with the American College of Cardiology (ACC), American Heart Association (AHA), and the Society of Thoracic Surgeons (STS). Endorsed and approved by the governing bodies of the American College of Cardiology, the American Heart Association, the European Cardiac Arrhythmia Society, the European Heart Rhythm Association, the Society of Thoracic Surgeons, and the Heart Rhythm Society. Europace, 9: 335–379. https://doi.org/10.1093/europace/eum120

 

  1. Kitsiou A, Sagris D, Schäbitz WR, et al., 2021, Validation of the AF-ESUS score to identify patients with embolic stroke of undetermined source and low risk of device-detected atrial fibrillation. Eur J Intern Med, 89: 135–136. https://doi.org/10.1016/j.ejim.2021.04.003

 

  1. Sposato LA, Chaturvedi S, Hsieh CY, et al., 2022, Atrial fibrillation detected after stroke and transient ischemic attack: A novel clinical concept challenging current views. Stroke, 53: e94–e103. https://doi.org/10.1161/strokeaha.121.034777

 

  1. Tran RT, Rankin AJ, Abdul-Rahim AH, et al., 2016, Short runs of atrial arrhythmia and stroke risk: A European-wide online survey among stroke physicians and cardiologists. J R Coll Physicians Edinb, 46: 87–92. https://doi.org/10.4997/jrcpe.2016.204

 

  1. Ratajczak-Tretel B, Lambert AT, Al-Ani R, et al., 2023, Prediction of underlying atrial fibrillation in patients with a cryptogenic stroke: Results from the NOR-FIB study. J Neurol, 270: 4049–4059. https://doi.org/10.1007/s00415-023-11680-8

 

  1. Dilaveris PE, Antoniou CK, Caiani EG, et al., 2022, ESC Working Group on e-Cardiology Position Paper: Accuracy and reliability of electrocardiogram monitoring in the detection of atrial fibrillation in cryptogenic stroke patients: In collaboration with the Council on Stroke, the European Heart Rhythm Association, and the Digital Health Committee. Eur Heart J Digit Health, 3: 341–358. https://doi.org/10.1093/ehjdh/ztac026. Erratum in: Eur Heart J Digit Health, 2023;4: 138.
Conflict of interest
The authors declare they have no competing interests.
Share
Back to top
Brain & Heart, Electronic ISSN: 2972-4139 Published by AccScience Publishing