Literature DB >> 17532409

Absence of correlation between symptoms and rhythm in "symptomatic" atrial fibrillation.

John R Mehall1, Robert M Kohut, E William Schneeberger, Walter H Merrill, Randall K Wolf.   

Abstract

BACKGROUND: Symptoms are widely used as a means of assessment and follow-up of patients with atrial fibrillation. This study assessed the correlation between symptoms and cardiac rhythm in patients being evaluated for operative therapy for atrial fibrillation.
METHODS: Seven days of preoperative continuous outpatient home electrocardiographic monitoring was performed on 50 patients with symptomatic atrial fibrillation. Cardiac rhythm was continuously monitored automatically, while patients recorded their symptoms electronically. Correlations were then drawn between symptomatic events and actual rhythm, and between atrial fibrillation episodes and symptoms.
RESULTS: Fifty patients (37 men) with symptomatic atrial fibrillation were monitored for a combined 356 days (mean, 7.1 days). Patients were average age of 69 years old. Intermittent atrial fibrillation was reported by 36 patients, and 14 believed their atrial fibrillation was continuous. During monitoring, all patients had periods of both atrial fibrillation and normal sinus rhythm. Of the 552 documented episodes of atrial fibrillation, 467 (85%) were asymptomatic, and 85 (15%) episodes were symptomatic. Patients indicated that they experienced atrial fibrillation symptoms 163 times. Of the 163 symptomatic events, 85 (52%) were actual atrial fibrillation, 64 (42%) were sinus rhythm, and 14 (6%) were other rhythms. The ability of an individual patient to accurately identify atrial fibrillation ranged from 0% to 100%.
CONCLUSIONS: Patient-reported symptoms of atrial fibrillation had poor correlation with actual rhythm. The lack of correlation between symptoms and rhythm underscores the importance of continuous home monitoring for accurately quantifying preoperative atrial fibrillation burden and for postoperative follow-up.

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Mesh:

Year:  2007        PMID: 17532409     DOI: 10.1016/j.athoracsur.2007.02.084

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  7 in total

Review 1.  Atrial Fibrillation Symptoms and Sex, Race, and Psychological Distress: A Literature Review.

Authors:  Kelly T Gleason; Saman Nazarian; Cheryl R Dennison Himmelfarb
Journal:  J Cardiovasc Nurs       Date:  2018 Mar/Apr       Impact factor: 2.083

2.  Comparing Patient and Provider Experiences with Atrial Fibrillation to Highlight Gaps and Opportunities for Improving Care.

Authors:  Bonnie M Vest; Brian M Quigley; Denise F Lillvis; Caroline Horrigan-Maurer; Rebecca S Firth; Anne B Curtis; Jeffrey M Lackner
Journal:  J Gen Intern Med       Date:  2022-01-06       Impact factor: 6.473

3.  Detection of Atrial Fibrillation After Surgical Ablation: Conventional Versus Continuous Monitoring.

Authors:  Ralph J Damiano; Christopher P Lawrance; Lindsey L Saint; Matthew C Henn; Laurie A Sinn; Jane Kruse; Marye J Gleva; Hersh S Maniar; Patrick M McCarthy; Richard Lee
Journal:  Ann Thorac Surg       Date:  2015-10-24       Impact factor: 4.330

4.  What patients want and need to know about atrial fibrillation.

Authors:  Pamela J McCabe
Journal:  J Multidiscip Healthc       Date:  2011-11-03

Review 5.  Emerging Antiarrhythmic Drugs for Atrial Fibrillation.

Authors:  Arnela Saljic; Jordi Heijman; Dobromir Dobrev
Journal:  Int J Mol Sci       Date:  2022-04-07       Impact factor: 6.208

Review 6.  When Silence Isn't Golden: The Case of "Silent" Atrial Fibrillation.

Authors:  James A Reiffel
Journal:  J Innov Card Rhythm Manag       Date:  2017-11-15

7.  HADLN: Hybrid Attention-Based Deep Learning Network for Automated Arrhythmia Classification.

Authors:  Mingfeng Jiang; Jiayan Gu; Yang Li; Bo Wei; Jucheng Zhang; Zhikang Wang; Ling Xia
Journal:  Front Physiol       Date:  2021-07-05       Impact factor: 4.566

  7 in total

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