Left Atrial Strain Values as an Early Predictor of Atrial Fibrillation
NCT ID: NCT06417112
Last Updated: 2024-05-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
72 participants
OBSERVATIONAL
2023-08-02
2024-04-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Patients that are suspected of having AF are referred for an ultrasound scan of the heart (echocardiogram). It is expected to see structural changes to the heart's chambers. However, structural and electrical changes of the heart may be the cause of AF but may also be a result of AF, resulting in a chicken and egg situation. It may be possible that a different type of measurement can be used during an echocardiogram to detect subtle changes in heart muscle patterns. This measurement may then serve to be an early predictor of AF. This would be determined by comparing the patterns in patients with a normal, regular rhythm to those with AF.
Potential candidates are initially screened based on their echocardiogram referral. If deemed suitable for this study, the study process is explained to the patient and written informed consent is invited and received. The echocardiogram will be performed as normal with a focus on the area and volume measurements taken of one of the top chambers of the heart. An additional measurement will be taken to observe any subtle changes in the arrangement of heart cells within this same heart chamber. These measurements can be compared to each other to establish any relationship as well as compared to patients with and without AF.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Sensitivity and Specificity of a Mobile Lead-one ECG Like Device for the Detection of Atrial Fibrillation (AF)
NCT03524625
CArdioversion of Short Duration Atrial Fibrillation
NCT02112318
Risk Profile for Patients With Atrial Fibrillation
NCT01510210
Progression of Atrial Fibrillation in the Young
NCT05080712
Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development
NCT06847932
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Patients suspected of having AF are routinely referred for a transthoracic echocardiogram (TTE). It is common for AF patients to have a dilated left atrium (LA). This can be visually confirmed, and the LA area and volume can be measured during a TTE. LA strain measurements are not routinely measured during TTEs but may be able to detect subtle changes in longitudinal strain patterns of the myocardium. By comparing the strain patterns in patients with normal sinus rhythm (control) to those with AF, a scale can be created to suggest and predict whether a patient is likely to develop AF in the future based on these subtle changes before any changes in LA size occur. Furthermore, this can then be further developed to determine whether there are any significant differences in strain patterns between the three AF groups.
Objectives:
To determine whether there is a significant difference in atrial strain values between patients that are in normal sinus rhythm (NSR, control group) to patients that are known to have atrial fibrillation (disease group). A disease-control group of controlled hypertensive patients in NSR will also be utilised as hypertension is a known risk factor for atrial fibrillation.
Providing that there is a significant difference in the values between NSR and AF patients, a further comparison will be conducted on patients in different type of AF: paroxysmal AF, persistent AF and permanent AF to determine if there is a deterioration in atrial strain values within AF patients.
Left atrial area and volume size will also be measured in all patients and this can then be compared to atrial strain values.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
CASE_CONTROL
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Normal sinus rhythm and normotensive
All participants are in normal sinus rhythm at the time of the transthoracic echocardiogram and no previous history of atrial fibrillation.
All participants have blood pressure measurements within normal limits and are not prescribed anti-hypertensive medication.
Transthoracic Echocardiogram
All participants have been referred for a transthoracic echocardiogram by a clinician.
Normal sinus rhythm and hypertensive
All participants are in normal sinus rhythm at the time of the transthoracic echocardiogram and no previous history of atrial fibrillation.
All participants are known to have raised blood pressure measurements previously and are receiving anti-hypertensive medication.
Transthoracic Echocardiogram
All participants have been referred for a transthoracic echocardiogram by a clinician.
Known atrial fibrillation
All participants are known to have a history of atrial fibrillation (paroxysmal, persistent or permanent).
Transthoracic Echocardiogram
All participants have been referred for a transthoracic echocardiogram by a clinician.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Transthoracic Echocardiogram
All participants have been referred for a transthoracic echocardiogram by a clinician.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Known to be in normal sinus rhythm, are normotensive and have no underlying health problems.
* Known to be in normal sinus rhythm and have controlled hypertension. This must have been diagnosed by a healthcare professional and the patient should be taking appropriate antihypertensive medication.
* Known to have chronic atrial fibrillation (persistent or permanent AF). This must have been diagnosed by a healthcare professional and the patient should be appropriately anticoagulated.
* Criterion 2: subjects should ideally be ≥ 50 years, but subjects will be age matched across all three groups.
* Criterion 3: patients should have an EF ≥ 50%.
* Criterion 4: good quality TTE images.
* Criterion 5: No valvular pathologies. o Patients with AF that have \< moderate valvular pathologies may be considered (as per the British Society of Echocardiography Guidelines).
Exclusion Criteria
* Criterion 2: subjects with AF that have ≥ moderate valvular pathologies (as per the British Society of Echocardiography Guidelines).
* Criterion 3: subjects with an EF \< 50%.
* Criterion 4: subjects \< 50 years old.
* Criterion 5: poor quality TTE images.
* Criterion 6: inability to provide informed consent.
* Criterion 7: permanent atrial / ventricular pacing.
* Criterion 8: previous cardiac surgery.
* Criterion 9: unsatisfactory tracking of the LA endocardial border.
* Criterion 10: patients unwilling to have their results potentially published.
50 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Hywel Dda Health Board
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Lucy Hwozdyk
Trainee Clinical Cardiac Scientist
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Lucy Hwozdyk
Role: PRINCIPAL_INVESTIGATOR
Hywel Dda University Health Board
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Lucy Hwozdyk
Haverfordwest, Pembrokeshire, United Kingdom
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Alhakak AS, Biering-Sorensen SR, Mogelvang R, Modin D, Jensen GB, Schnohr P, Iversen AZ, Svendsen JH, Jespersen T, Gislason G, Biering-Sorensen T. Usefulness of left atrial strain for predicting incident atrial fibrillation and ischaemic stroke in the general population. Eur Heart J Cardiovasc Imaging. 2022 Feb 22;23(3):363-371. doi: 10.1093/ehjci/jeaa287.
Beyls C, Hermida A, Bohbot Y, Martin N, Viart C, Boisgard S, Daumin C, Huette P, Dupont H, Abou-Arab O, Mahjoub Y. Automated left atrial strain analysis for predicting atrial fibrillation in severe COVID-19 pneumonia: a prospective study. Ann Intensive Care. 2021 Dec 7;11(1):168. doi: 10.1186/s13613-021-00955-w.
Choi HM, Yoon YE, Oh IY, Cho Y, Cho GY. Global Left Atrial Strain as a Predictor of Silent Atrial Fibrillation Following Dual Chamber Cardiac Implantable Electronic Device Implantation. JACC Cardiovasc Imaging. 2018 Oct;11(10):1537-1539. doi: 10.1016/j.jcmg.2017.12.013. Epub 2018 Feb 14. No abstract available.
Gan GCH, Ferkh A, Boyd A, Thomas L. Left atrial function: evaluation by strain analysis. Cardiovasc Diagn Ther. 2018 Feb;8(1):29-46. doi: 10.21037/cdt.2017.06.08.
Guo C, Liu J, Zhao S, Teng Y, Shen L. Decreased left atrial strain parameters are correlated with prolonged total atrial conduction time in lone atrial fibrillation. Int J Cardiovasc Imaging. 2016 Jul;32(7):1053-61. doi: 10.1007/s10554-016-0875-3. Epub 2016 Apr 13.
Hauser R, Nielsen AB, Skaarup KG, Lassen MCH, Duus LS, Johansen ND, Sengelov M, Marott JL, Jensen G, Schnohr P, Sogaard P, Mogelvang R, Biering-Sorensen T. Left atrial strain predicts incident atrial fibrillation in the general population: the Copenhagen City Heart Study. Eur Heart J Cardiovasc Imaging. 2021 Dec 18;23(1):52-60. doi: 10.1093/ehjci/jeab202.
Her AY, Kim JY, Kim YH, Choi EY, Min PK, Yoon YW, Lee BK, Hong BK, Rim SJ, Kwon HM. Left atrial strain assessed by speckle tracking imaging is related to new-onset atrial fibrillation after coronary artery bypass grafting. Can J Cardiol. 2013 Mar;29(3):377-83. doi: 10.1016/j.cjca.2012.06.006. Epub 2012 Aug 15.
Hsu PC, Lee WH, Chu CY, Lee HH, Lee CS, Yen HW, Lin TH, Voon WC, Lai WT, Sheu SH, Su HM. Prognostic role of left atrial strain and its combination index with transmitral E-wave velocity in patients with atrial fibrillation. Sci Rep. 2016 Feb 1;6:17318. doi: 10.1038/srep17318.
Jarasunas J, Aidietis A, Aidietiene S. Left atrial strain - an early marker of left ventricular diastolic dysfunction in patients with hypertension and paroxysmal atrial fibrillation. Cardiovasc Ultrasound. 2018 Oct 31;16(1):29. doi: 10.1186/s12947-018-0147-6.
Ma XX, Zhang YL, Hu B, Zhu MR, Jiang WJ, Wang M, Zheng DY, Xue XP. The usefulness of global left atrial strain for predicting atrial fibrillation recurrence after catheter ablation in patients with persistent and paroxysmal atrial fibrillation. Arch Cardiovasc Dis. 2017 Aug-Sep;110(8-9):447-455. doi: 10.1016/j.acvd.2016.11.005. Epub 2017 May 18.
Markides V, Schilling RJ. Atrial fibrillation: classification, pathophysiology, mechanisms and drug treatment. Heart. 2003 Aug;89(8):939-43. doi: 10.1136/heart.89.8.939. No abstract available.
Mochizuki A, Yuda S, Fujito T, Kawamukai M, Muranaka A, Nagahara D, Shimoshige S, Hashimoto A, Miura T. Left atrial strain assessed by three-dimensional speckle tracking echocardiography predicts atrial fibrillation recurrence after catheter ablation in patients with paroxysmal atrial fibrillation. J Echocardiogr. 2017 Jun;15(2):79-87. doi: 10.1007/s12574-017-0329-5. Epub 2017 Feb 2.
Motoki H, Negishi K, Kusunose K, Popovic ZB, Bhargava M, Wazni OM, Saliba WI, Chung MK, Marwick TH, Klein AL. Global left atrial strain in the prediction of sinus rhythm maintenance after catheter ablation for atrial fibrillation. J Am Soc Echocardiogr. 2014 Nov;27(11):1184-92. doi: 10.1016/j.echo.2014.08.017. Epub 2014 Sep 23.
Olsen FJ, Christensen LM, Krieger DW, Hojberg S, Host N, Karlsen FM, Svendsen JH, Christensen H, Biering-Sorensen T. Relationship between left atrial strain, diastolic dysfunction and subclinical atrial fibrillation in patients with cryptogenic stroke: the SURPRISE echo substudy. Int J Cardiovasc Imaging. 2020 Jan;36(1):79-89. doi: 10.1007/s10554-019-01700-y. Epub 2019 Oct 8.
Pagola J, Juega J, Francisco-Pascual J, Bustamante A, Penalba A, Pala E, Rodriguez M, De Lera-Alfonso M, Arenillas JF, Cabezas JA, Moniche F, de Torres R, Montaner J, Gonzalez-Alujas T, Alvarez-Sabin J, Molina CA; Crypto-AF study group. Predicting Atrial Fibrillation with High Risk of Embolization with Atrial Strain and NT-proBNP. Transl Stroke Res. 2021 Oct;12(5):735-741. doi: 10.1007/s12975-020-00873-2. Epub 2020 Nov 13.
Park JJ, Park JH, Hwang IC, Park JB, Cho GY, Marwick TH. Left Atrial Strain as a Predictor of New-Onset Atrial Fibrillation in Patients With Heart Failure. JACC Cardiovasc Imaging. 2020 Oct;13(10):2071-2081. doi: 10.1016/j.jcmg.2020.04.031. Epub 2020 Jul 15.
Parwani AS, Morris DA, Blaschke F, Huemer M, Pieske B, Haverkamp W, Boldt LH. Left atrial strain predicts recurrence of atrial arrhythmias after catheter ablation of persistent atrial fibrillation. Open Heart. 2017 Apr 28;4(1):e000572. doi: 10.1136/openhrt-2016-000572. eCollection 2017.
Pathan F, Sivaraj E, Negishi K, Rafiudeen R, Pathan S, D'Elia N, Galligan J, Neilson S, Fonseca R, Marwick TH. Use of Atrial Strain to Predict Atrial Fibrillation After Cerebral Ischemia. JACC Cardiovasc Imaging. 2018 Nov;11(11):1557-1565. doi: 10.1016/j.jcmg.2017.07.027. Epub 2017 Nov 15.
Pessoa-Amorim G, Mancio J, Vouga L, Ribeiro J, Gama V, Bettencourt N, Fontes-Carvalho R. Impaired Left Atrial Strain as a Predictor of New-onset Atrial Fibrillation After Aortic Valve Replacement Independently of Left Atrial Size. Rev Esp Cardiol (Engl Ed). 2018 Jun;71(6):466-476. doi: 10.1016/j.rec.2017.10.005. Epub 2017 Nov 14. English, Spanish.
Petre I, Onciul S, Iancovici S, Zamfir D, Stoian M, Scarlatescu A, Diaconeasa A, Acatrinei C, Dorobantu M. Left Atrial Strain for Predicting Atrial Fibrillation Onset in Hypertensive Patients. High Blood Press Cardiovasc Prev. 2019 Aug;26(4):331-337. doi: 10.1007/s40292-019-00326-4. Epub 2019 Jul 15.
Rasmussen SMA, Olsen FJ, Jorgensen PG, Fritz-Hansen T, Jespersen T, Gislason G, Biering-Sorensen T. Utility of left atrial strain for predicting atrial fibrillation following ischemic stroke. Int J Cardiovasc Imaging. 2019 Sep;35(9):1605-1613. doi: 10.1007/s10554-019-01601-0. Epub 2019 Apr 26.
Shaikh AY, Maan A, Khan UA, Aurigemma GP, Hill JC, Kane JL, Tighe DA, Mick E, McManus DD. Speckle echocardiographic left atrial strain and stiffness index as predictors of maintenance of sinus rhythm after cardioversion for atrial fibrillation: a prospective study. Cardiovasc Ultrasound. 2012 Dec 3;10:48. doi: 10.1186/1476-7120-10-48.
Shin DG, Kang MK, Han D, Choi S, Cho JR, Lee N. Enlarged left atrium and decreased left atrial strain are associated with atrial fibrillation in patients with hyperthyroidism irrespective of conventional risk factors. Int J Cardiovasc Imaging. 2022 Mar;38(3):613-620. doi: 10.1007/s10554-021-02450-6. Epub 2021 Oct 27.
Singh A, El Hangouche N, McGee K, Gong FF, Lentz R, Feinglass J, Akhter N. Utilizing left atrial strain to identify patients at risk for atrial fibrillation on ibrutinib. Echocardiography. 2021 Jan;38(1):81-88. doi: 10.1111/echo.14946. Epub 2020 Dec 7.
Staerk L, Sherer JA, Ko D, Benjamin EJ, Helm RH. Atrial Fibrillation: Epidemiology, Pathophysiology, and Clinical Outcomes. Circ Res. 2017 Apr 28;120(9):1501-1517. doi: 10.1161/CIRCRESAHA.117.309732.
Svartstein AW, Lassen MH, Skaarup KG, Grove GL, Vyff F, Ravnkilde K, Pedersen S, Galatius S, Modin D, Biering-Sorensen T. Predictive value of left atrial strain in relation to atrial fibrillation following acute myocardial infarction. Int J Cardiol. 2022 Oct 1;364:52-59. doi: 10.1016/j.ijcard.2022.05.026. Epub 2022 May 14.
Uzieblo-Zyczkowska B, Krzesinski P, Jurek A, Krzyzanowski K, Kiliszek M. Correlations between left atrial strain and left atrial pressures values in patients undergoing atrial fibrillation ablation. Kardiol Pol. 2021;79(11):1223-1230. doi: 10.33963/KP.a2021.0113. Epub 2021 Oct 2.
van de Vegte YJ, Siland JE, Rienstra M, van der Harst P. Atrial fibrillation and left atrial size and function: a Mendelian randomization study. Sci Rep. 2021 Apr 19;11(1):8431. doi: 10.1038/s41598-021-87859-8.
von Roeder M, Rommel KP, Kowallick JT, Blazek S, Besler C, Fengler K, Lotz J, Hasenfuss G, Lucke C, Gutberlet M, Schuler G, Schuster A, Lurz P. Influence of Left Atrial Function on Exercise Capacity and Left Ventricular Function in Patients With Heart Failure and Preserved Ejection Fraction. Circ Cardiovasc Imaging. 2017 Apr;10(4):e005467. doi: 10.1161/CIRCIMAGING.116.005467.
Wyndham CR. Atrial fibrillation: the most common arrhythmia. Tex Heart Inst J. 2000;27(3):257-67.
Yasuda R, Murata M, Roberts R, Tokuda H, Minakata Y, Suzuki K, Tsuruta H, Kimura T, Nishiyama N, Fukumoto K, Aizawa Y, Tanimoto K, Takatsuki S, Abe T, Fukuda K. Left atrial strain is a powerful predictor of atrial fibrillation recurrence after catheter ablation: study of a heterogeneous population with sinus rhythm or atrial fibrillation. Eur Heart J Cardiovasc Imaging. 2015 Sep;16(9):1008-14. doi: 10.1093/ehjci/jev028. Epub 2015 Mar 6.
Provided Documents
Download supplemental materials such as informed consent forms, study protocols, or participant manuals.
Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Related Links
Access external resources that provide additional context or updates about the study.
Incremental value of left atrial strain to predict atrial fibrillation recurrence after cryoballoon ablation
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
324893
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.