Skip to main content

Simulation of Daily Snapshot Rhythm Monitoring to Identify Atrial Fibrillation in Continuously Monitored Patients with Stroke Risk Factors.

Publication ,  Journal Article
Yano, Y; Greenland, P; Lloyd-Jones, DM; Daoud, EG; Koehler, JL; Ziegler, PD
Published in: PLoS One
2016

BACKGROUND: New technologies are diffusing into medical practice swiftly. Hand-held devices such as smartphones can record short-duration (e.g., 1-minute) ECGs, but their effectiveness in identifying patients with paroxysmal atrial fibrillation (AF) is unknown. METHODS: We used data from the TRENDS study, which included 370 patients (mean age 71 years, 71% men, CHADS2 score≥1 point: mean 2.3 points) who had no documentation of atrial tachycardia (AT)/AF or antiarrhythmic or anticoagulant drug use at baseline. All were subsequently newly diagnosed with AT/AF by a cardiac implantable electronic device (CIED) over one year of follow-up. Using a computer simulation approach (5,000 repetitions), we estimated the detection rate for paroxysmal AT/AF via daily snapshot ECG monitoring over various periods, with the probability of detection equal to the percent AT/AF burden on each day. RESULTS: The estimated AT/AF detection rates with snapshot monitoring periods of 14, 28, 56, 112, and 365 days were 10%, 15%, 21%, 28%, and 50% respectively. The detection rate over 365 days of monitoring was higher in those with CHADS2 scores ≥2 than in those with CHADS2 scores of 1 (53% vs. 38%), and was higher in those with AT/AF burden ≥0.044 hours/day compared to those with AT/AF burden <0.044 hours/day (91% vs. 14%; both P<0.05). CONCLUSIONS: Daily snapshot ECG monitoring over 365 days detects half of patients who developed AT/AF as detected by CIED, and shorter intervals of monitoring detected fewer AT/AF patients. The detection rate was associated with individual CHADS2 score and AT/AF burden. TRIAL REGISTRATION: ClinicalTrials.gov NCT00279981.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2016

Volume

11

Issue

2

Start / End Page

e0148914

Location

United States

Related Subject Headings

  • Tachycardia
  • Stroke
  • Risk Factors
  • Middle Aged
  • Male
  • Humans
  • Heart Failure
  • General Science & Technology
  • Female
  • Electrodes, Implanted
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Yano, Y., Greenland, P., Lloyd-Jones, D. M., Daoud, E. G., Koehler, J. L., & Ziegler, P. D. (2016). Simulation of Daily Snapshot Rhythm Monitoring to Identify Atrial Fibrillation in Continuously Monitored Patients with Stroke Risk Factors. PLoS One, 11(2), e0148914. https://doi.org/10.1371/journal.pone.0148914
Yano, Yuichiro, Philip Greenland, Donald M. Lloyd-Jones, Emile G. Daoud, Jodi L. Koehler, and Paul D. Ziegler. “Simulation of Daily Snapshot Rhythm Monitoring to Identify Atrial Fibrillation in Continuously Monitored Patients with Stroke Risk Factors.PLoS One 11, no. 2 (2016): e0148914. https://doi.org/10.1371/journal.pone.0148914.
Yano Y, Greenland P, Lloyd-Jones DM, Daoud EG, Koehler JL, Ziegler PD. Simulation of Daily Snapshot Rhythm Monitoring to Identify Atrial Fibrillation in Continuously Monitored Patients with Stroke Risk Factors. PLoS One. 2016;11(2):e0148914.
Yano, Yuichiro, et al. “Simulation of Daily Snapshot Rhythm Monitoring to Identify Atrial Fibrillation in Continuously Monitored Patients with Stroke Risk Factors.PLoS One, vol. 11, no. 2, 2016, p. e0148914. Pubmed, doi:10.1371/journal.pone.0148914.
Yano Y, Greenland P, Lloyd-Jones DM, Daoud EG, Koehler JL, Ziegler PD. Simulation of Daily Snapshot Rhythm Monitoring to Identify Atrial Fibrillation in Continuously Monitored Patients with Stroke Risk Factors. PLoS One. 2016;11(2):e0148914.

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2016

Volume

11

Issue

2

Start / End Page

e0148914

Location

United States

Related Subject Headings

  • Tachycardia
  • Stroke
  • Risk Factors
  • Middle Aged
  • Male
  • Humans
  • Heart Failure
  • General Science & Technology
  • Female
  • Electrodes, Implanted